zoolabs.io/public/research.json

{"papers":[{"kind":"paper","id":"beluga-l3-whitepaper","title":"BELUGA L3 App-Chain for AI Model Economics","summary":"We present Beluga, a Layer 3 application-specific blockchain for AI model economics, built on Zoo Network (L2) which itself runs on Lux Network (L0). Beluga introduces a dedicated execution environment where every operation–-model registration, inference requests, training bounties, data contribution–-is a native transaction priced in the blg gas token. The chain implements custom EVM precompiles for inference pricin","url":"https://github.com/zooai/papers/tree/main/beluga-l3-whitepaper"},{"kind":"paper","id":"embedding-7680","title":"High-Dimensional Embedding Spaces for Semantic Search: The Case for 7680 Dimensions Zen Reranker and Native Embeddings for Decentralized AI","summary":"We present a systematic analysis of embedding dimensionality for semantic search in decentralized AI systems, culminating in the Zen Reranker–-a specialized embedding model with native 7680-dimensional output. Current embedding models produce heterogeneous dimensionalities (768 to 8192), requiring costly alignment layers when combining embeddings from different models. We demonstrate that 7680 dimensions represents a","url":"https://github.com/zooai/papers/tree/main/embedding-7680"},{"kind":"paper","id":"experience-ledger-dso","title":"Experience Ledger: Decentralized Semantic Optimization for Large Language Models","summary":"We present the Experience Ledger, a decentralized infrastructure for semantic optimization of Large Language Models (llms) that replaces centralized fine-tuning with community-driven knowledge curation. Unlike traditional approaches that update model parameters—an opaque, expensive, and centralized process—our system maintains a content-addressable library of semantic advantages: natural language insights extracted v","url":"https://github.com/zooai/papers/tree/main/experience-ledger-dso"},{"kind":"paper","id":"gym-training-platform","title":"Gym: Democratizing AI Model Training Through Comprehensive Open-Source Infrastructure","summary":"The democratization of artificial intelligence remains hindered by the substantial computational costs and technical complexity of model training. We present Gym, an open-source AI model training platform designed to lower these barriers through comprehensive infrastructure supporting 100+ model architectures, efficient training algorithms, and accessible interfaces. Originally forked from LLaMA Factory in May 2023, ","url":"https://github.com/zooai/papers/tree/main/gym-training-platform"},{"kind":"paper","id":"hllm-training-free-grpo","title":"HLLM: Hamiltonian Large Language Models with Training-Free Group Relative Policy Optimization","summary":"We introduce Hamiltonian Large Language Models (HLLM), a framework that achieves strong benchmark performance through context optimization rather than parameter updates. By grounding optimization in Hamiltonian mechanics through the conservation law , we demonstrate that frozen large language models can improve by curating semantic experiences in their context windows. Our Training-Free Group Relative Policy Optimiza","url":"https://github.com/zooai/papers/tree/main/hllm-training-free-grpo"},{"kind":"paper","id":"zip-002-zen-reranker","title":"ZIP-002: Zen-Reranker Integration for Decentralized Semantic Optimization in Zoo Network Native 7680-Dimensional Embeddings for Cross-Model Experience Sharing","summary":"Decentralized Semantic Optimization (DSO) enables large language models to collaboratively improve via shared semantic experiences without centralized gradient aggregation. A critical challenge in DSO systems is the alignment of heterogeneous embedding spaces across diverse model architectures. Current approaches project model-specific embeddings into a canonical space, introducing semantic loss (8%), latency overhea","url":"https://github.com/zooai/papers/tree/main/zip-002-zen-reranker"},{"kind":"paper","id":"zip-0803-encrypted-sqlite-replication","title":"ZIP-0803: Encrypted SQLite Replication for Zoo Services","summary":"We specify a sidecar-based replication protocol for Zoo Network services that use Hanzo Base (per-org encrypted SQLite). The system streams Write-Ahead Log (WAL) frames through hanzoai/replicate to S3-compatible object storage, encrypts at-rest with hanzoai/age (X25519 + ChaCha20-Poly1305), and achieves \\,s Recovery Point Objective (RPO) with seconds-scale Recovery Time Objective (RTO). Each pod replicates to a disti","url":"https://github.com/zooai/papers/tree/main/zip-0803-encrypted-sqlite-replication"},{"kind":"paper","id":"zoo-2021-original-whitepaper","title":"Zoo A Game-Fi Multiverse Ecosystem for the Preservation of Endangered Species","summary":"","url":"https://github.com/zooai/papers/tree/main/zoo-2021-original-whitepaper"},{"kind":"paper","id":"zoo-2025-securities-and-dao","title":"Zoo 2025 Digital Securities, Quantum-Secure Settlement, and the Holographic Consensus DAO","summary":"We articulate five intertwined planks that together describe Zoo Labs Foundation as it stands at the Quasar 3.0 activation date (2025-12-25): (i) the canonical team and mission that descend from the October 31, 2021 founding whitepaper; (ii) Zoo's positioning against the \\bls_12-381ml-dsa-65$ via Z-Chain Groth16); (iv) a Homomorphic / Holographic Consensus dao with weighted voting over advocacy, involvement, contribu","url":"https://github.com/zooai/papers/tree/main/zoo-2025-securities-and-dao"},{"kind":"paper","id":"zoo-3-0-full-pq","title":"Zoo 3.0 –- Full Post-Quantum Stack Every signature, every commitment, every proof in PQ-safe schemes","summary":"Zoo 3.0 is the full post-quantum era of the Zoo stack. Zoo 2.0 (October 2024) shipped a post-quantum L2 evm on Lux with a precompile suite covering NIST PQC standards zoo-2-0; Zoo 3.0 (2025) hardens every hot-path primitive across the Zoo ecosystem to PQ-safe schemes. Specifically: every consensus signature is a triple cert ( classical fast path, Corona Ring-LWE threshold proof, identity proof) inherited from the Lux","url":"https://github.com/zooai/papers/tree/main/zoo-3-0-full-pq"},{"kind":"paper","id":"zoo-3-0-launch","title":"Zoo 3.0 gpu-Native L1: Fastest Blockchain Ever Created","summary":"Zoo 3.0 is the gpu-native graduation of the Zoo stack. Every hot-path primitive –- consensus signature aggregation, bls12-381 verification, Corona threshold proofs, ml-dsa-65 identity proofs, evm bytecode execution, amm curve math, fhe ciphertext arithmetic, and Groth16/Halo2 zkp verification –- runs as deterministic gpu kernels in pure C++ via the Quasargpu adapter (lp-132) under the gpu-Residency Invariant (lp-137)","url":"https://github.com/zooai/papers/tree/main/zoo-3-0-launch"},{"kind":"paper","id":"zoo-4-0-launch","title":"Zoo 4.0 –- gpu-Native Sovereign L1 From Lux L2 application to sovereign L1 with 100% gpu-powered consensus, evm, AI mining, dex, and fhe","summary":"Zoo 4.0 is the gpu-native graduation of the Zoo stack. The prior eras lead up to this release: Zoo 1.0 (2021, BSC) coined the ``NFT Liquidity Protocol''; Zoo 2.0 (October 2024) re-launched on Lux as an evm-compatible L2 with first-pass post-quantum precompiles zoo-2-0; Zoo 3.0 (2025) brought the entire stack to a fully post-quantum settlement model with triple-cert consensus inheritance from Lux Quasar 3.0 zoo-3-0,lp","url":"https://github.com/zooai/papers/tree/main/zoo-4-0-launch"},{"kind":"paper","id":"zoo-agent-nft","title":"Agent NFTs: A Token Standard for Autonomous AI Agents with Economic Agency","summary":"We introduce the Agent NFT Standard, a token specification that enables AI agents to hold assets, execute transactions, and participate in economic activity as first-class on-chain entities. Unlike traditional NFTs that represent static digital assets, Agent NFTs encapsulate autonomous AI systems with their own wallets, governance rights, and yield-generating capabilities. Our standard extends erc-721 with: (1) Agent","url":"https://github.com/zooai/papers/tree/main/zoo-agent-nft"},{"kind":"paper","id":"zoo-agi","title":"Piggybank Agents: Yield-Bearing AI-Native NFTs that Pay for Their Own Consciousness","summary":"We introduce the Piggybank Agent, a non-fungible token that functions as an autonomous wallet collateralized by real-world assets. Each Piggybank Agent represents a digital animal–-a member of the Zoo Network's conservation-oriented virtual ecosystem–-whose wallet (the ``piggybank'') holds tokenized commodities: gold, silver, uranium, and rare-earth elements. These commodities generate yield through lending and staki","url":"https://github.com/zooai/papers/tree/main/zoo-agi"},{"kind":"paper","id":"zoo-ai-memory","title":"Sovereign AI Memory: Persistent, Private, and Portable Agent State on Zoo Network Encrypted Memory Capsules with Threshold Access Control","summary":"Contemporary AI agents suffer from persistent amnesia. Each session begins tabula rasa; memory, when it exists, lives in provider-controlled vector databases that the agent cannot own, move, or protect. We argue that AI memory is not a retrieval problem–-it is a sovereignty problem. This paper introduces Memory Capsules, encrypted append-only vaults that give agents persistent, private, and portable state on Zoo Netw","url":"https://github.com/zooai/papers/tree/main/zoo-ai-memory"},{"kind":"paper","id":"zoo-ai-research-agenda","title":"The Zoo AI Research Agenda: Decentralized, User-Owned, Conservation-Aligned AI","summary":"We present the Zoo AI research agenda, a coordinated program across six technical thrusts: Hamiltonian Large Language Models (HLLMs) for energy-based inference, the Eco-1/Z-JEPA hyper-modal architecture with active inference alignment, BitDelta and DeltaSoup for privacy-preserving personalization, NFT-based model ownership, avatar tutors for prerequisite-aware education, and spatial web agents for conservation field ","url":"https://github.com/zooai/papers/tree/main/zoo-ai-research-agenda"},{"kind":"paper","id":"zoo-ar-metaverse","title":"Zoo Cute AI Assistant, AR App, and Metaverse Companion On-Chain Realization of the 2021 Vision (21–23)","summary":"The October 31, 2021 Zoo whitepaper described three interlocking experience surfaces: a personality-bearing ``Cute ai Assistant'' (21), an Augmented Reality app for in-the-field encounters (22), and a Metaverse Companion that follows the user across surfaces (23). This paper documents the 2025-12-15 realization. The Cute ai Assistant ships as the on-device avatar within Zoo Desktop, backed by the Zen model family co-","url":"https://github.com/zooai/papers/tree/main/zoo-ar-metaverse"},{"kind":"paper","id":"zoo-avatar-tutors","title":"Specialized Avatar Tutors: Personalized Learning with Prerequisite Scaffolding","summary":"We present ZOOAI Avatar Tutors, a system of domain-specialized, animal-themed AI tutors that provide personalized education through prerequisite-aware scaffolding. Each avatar (Oliver Owl for logic, Diana Dolphin for biology, Sam Sloth for computer science, Elena Elephant for mathematics, Pedro Penguin for physics) maintains a prerequisite knowledge graph , a per-learner mastery vector , and a scaffolding policy deri","url":"https://github.com/zooai/papers/tree/main/zoo-avatar-tutors"},{"kind":"paper","id":"zoo-bitdelta-deltasoup","title":"BitDelta and DeltaSoup: Personalized and Community AI through Compact Model Updates","summary":"We present BitDelta, a 1-bit delta compression scheme for personalized AI model adaptations, and DeltaSoup, a Byzantine-robust aggregation protocol that merges individual deltas into community Reference Adapters. Given base model weights and fine-tuned weights , BitDelta compresses the delta to a sign matrix and a per-tensor scale , achieving memory reduction while preserving of task performance. We prove that 1-bit ","url":"https://github.com/zooai/papers/tree/main/zoo-bitdelta-deltasoup"},{"kind":"paper","id":"zoo-bridge","title":"Zoo Bridge: Cross-Chain AI Asset Transfer Between Lux and Zoo Networks","summary":"We present Zoo Bridge, a cross-chain asset transfer protocol connecting the Lux Network L0 (chain ID 96369) with the Zoo L2 (chain ID 200200) and the Beluga L3 (chain ID 420420). Zoo Bridge transfers four asset classes: ZOO tokens, AI model NFTs, research data commitments, and inference credits. The protocol builds on two Lux primitives: Warp messaging for verified cross-chain communication with post-quantum BLS sign","url":"https://github.com/zooai/papers/tree/main/zoo-bridge"},{"kind":"paper","id":"zoo-carbon-credits","title":"Verifiable Carbon Credits: MRV Infrastructure for Nature-Based Solutions","summary":"Nature-based carbon credits suffer a crisis of credibility. Recent analyses reveal that 70–90% of certified forest carbon offsets may represent phantom emissions reductions, undermining market integrity and climate goals. The root cause is inadequate Measurement, Reporting, and Verification (MRV) infrastructure that relies on infrequent manual audits, self-reported baselines, and opaque methodologies. We present ZooM","url":"https://github.com/zooai/papers/tree/main/zoo-carbon-credits"},{"kind":"paper","id":"zoo-citizen-science","title":"Citizen Science Platform: Gamified Biodiversity Data Collection","summary":"Citizen science has become indispensable for biodiversity monitoring, generating billions of observations annually through platforms like eBird and iNaturalist. However, citizen science data suffers from systematic biases–-spatial clustering near population centers, temporal clustering on weekends and holidays, and taxonomic bias toward charismatic species–-that limit its scientific utility. We present ZooPlatform, a","url":"https://github.com/zooai/papers/tree/main/zoo-citizen-science"},{"kind":"paper","id":"zoo-confidential-defi","title":"Confidential DeFi: Private Trading, Sealed Auctions, and Encrypted Order Matching on Zoo Network Eliminating MEV Through Fully Homomorphic Encryption","summary":"Decentralized finance leaks value at every layer. Front-running extracts $1.5B+ annually from Ethereum traders. Sandwich attacks inflate slippage. Information asymmetry between informed and uninformed participants produces a market where the fastest extractor wins, not the best price-discoverer. We present Confidential DeFi on Zoo Network: a suite of protocols where orders are encrypted at submission, matched homomor","url":"https://github.com/zooai/papers/tree/main/zoo-confidential-defi"},{"kind":"paper","id":"zoo-consensus","title":"Quasar Hybrid Consensus on Zoo Network: GPU-Accelerated BLS and Post-Quantum Finality Dual-Path Verification with Classical and Lattice-Based Threshold Signatures","summary":"We present the Quasar hybrid consensus mechanism deployed on Zoo Network, inherited from the Lux blockchain and extended with GPU-accelerated cryptographic verification. Quasar achieves post-quantum finality through a dual-path architecture: BLS12-381 aggregate signatures provide classical Byzantine fault tolerance, while Corona threshold signatures (Ring-LWE based) provide lattice-based post-quantum security. Both v","url":"https://github.com/zooai/papers/tree/main/zoo-consensus"},{"kind":"paper","id":"zoo-conservation-ai","title":"Conservation AI: Deep Learning for Wildlife Population Monitoring and Habitat Assessment","summary":"Camera trap networks produce millions of images annually across global conservation sites, yet the vast majority remain unprocessed due to the labor-intensive nature of manual species identification. We present ConservAI, an integrated deep learning pipeline for automated wildlife population monitoring and habitat quality assessment built on the Zoo decentralized science infrastructure. Our system combines a hierarch","url":"https://github.com/zooai/papers/tree/main/zoo-conservation-ai"},{"kind":"paper","id":"zoo-conservation-mission","title":"Zoo Conservation x Education Mission On-Chain Realization of the 2021 Foundation Vision","summary":"The October 31, 2021 Zoo whitepaper established the Zoo Foundation as the conservation education arm of the Zoo ecosystem. Four years later, this paper documents the on-chain realization: the protocol-level sustainability tax, treasury custody under M-Chain MPC, conservation grant cycles via the dao, the V1 species catalogue with their named non-profit partners, and the post-quantum-secure settlement layer that ancho","url":"https://github.com/zooai/papers/tree/main/zoo-conservation-mission"},{"kind":"paper","id":"zoo-dao-emergency-protocol","title":"Emergency Governance: Pause, Cancel, and Upgrade under Adversarial Conditions","summary":"Standard DAO governance requires days or weeks to reach decisions. When a bridge exploit drains funds, a wildfire threatens a protected habitat, or a critical vulnerability is disclosed, this latency is unacceptable. We present Zoo Network's Emergency Governance Protocol, implementing ZIP-0027, which provides tiered emergency response powers with escalating authority: from immediate 2-of-3 multi-sig pause (DEFCON1) t","url":"https://github.com/zooai/papers/tree/main/zoo-dao-emergency-protocol"},{"kind":"paper","id":"zoo-dao-governance","title":"Zoo DAO: Decentralized Governance for Open Science Research","summary":"Traditional scientific funding suffers from well-documented pathologies: conservative grant allocation favoring established researchers, opaque peer review processes, multi-year funding cycles misaligned with research timelines, and geographic concentration in wealthy nations. We present the Zoo DAO, a decentralized autonomous organization for governing open science research funding, peer review, and intellectual pro","url":"https://github.com/zooai/papers/tree/main/zoo-dao-governance"},{"kind":"paper","id":"zoo-dao-grants-program","title":"The Zoo Community Grants Program: Retroactive and Prospective Conservation Funding","summary":"We present the Zoo Community Grants Program, an on-chain mechanism for funding conservation research, open-source development, citizen science, and community education through both prospective grants and retroactive public goods funding. The program implements ZIP-0023, deploying smart contracts that manage the complete grant lifecycle: application, screening, peer review, quadratic-funding-augmented voting, mileston","url":"https://github.com/zooai/papers/tree/main/zoo-dao-grants-program"},{"kind":"paper","id":"zoo-dao-operating-system","title":"ZooGov: A Full-Stack DAO Operating System for Conservation Research","summary":"We present ZooGov, a full-stack decentralized autonomous organization operating system purpose-built for conservation research governance. ZooGov implements the complete lifecycle of on-chain governance–-proposal creation, token-weighted and quadratic voting, vote delegation, committee management, treasury integration, timelock execution, and compliance veto–-as a composable smart contract system deployed on Zoo Netw","url":"https://github.com/zooai/papers/tree/main/zoo-dao-operating-system"},{"kind":"paper","id":"zoo-dao-reputation-system","title":"Ecosystem Reputation: A Non-Transferable Trust Primitive for Conservation Contributors","summary":"Token-weighted governance is plutocratic: those who buy the most tokens dominate decisions regardless of competence or commitment. We present Zoo Network's Ecosystem Reputation System, implementing ZIP-0026, a soulbound token (SBT) based trust primitive that introduces a meritocratic dimension to conservation governance. Non-transferable ZOO-REP tokens are issued to contributors based on verified activities: governan","url":"https://github.com/zooai/papers/tree/main/zoo-dao-reputation-system"},{"kind":"paper","id":"zoo-dao-research-governance","title":"Research DAO Governance: On-Chain Peer Review and Funding for Open Science","summary":"Scientific peer review is broken: reviewers work without compensation, turnaround takes months, identity biases distort evaluations, and publishers extract 30%+ margins from unpaid labor. We present Zoo's Research DAO, a purpose-built decentralized autonomous organization for research governance that combines on-chain peer review, quadratic voting for funding allocation, conflict of interest detection, and reproducib","url":"https://github.com/zooai/papers/tree/main/zoo-dao-research-governance"},{"kind":"paper","id":"zoo-data-commons","title":"Zoo Data Commons: A Decentralized Repository for Open Biodiversity Datasets FAIR-Compliant Data Infrastructure with Provenance Tracking and Incentivized Curation","summary":"Biodiversity data is fragmented across thousands of institutional repositories, government databases, citizen science platforms, and individual researcher collections, impeding the large-scale ecological analyses essential for conservation decision-making. We present the Zoo Data Commons (ZDC), a decentralized repository for open biodiversity datasets built on IPFS and the Zoo Network blockchain. ZDC introduces a nov","url":"https://github.com/zooai/papers/tree/main/zoo-data-commons"},{"kind":"paper","id":"zoo-desci-platform","title":"Decentralized Science on Zoo Network: Open Research Coordination with Verifiable Provenance Infrastructure for Reproducible, Incentivized, and Community-Governed Science","summary":"Science is broken in ways that scientists have documented for decades: irreproducible results (70% failure to replicate across fields), funding concentrated in a handful of institutions, data locked behind paywalls and proprietary silos, and credit attribution that rewards journal prestige over actual contribution. We present Zoo Network as infrastructure for Decentralized Science (DeSci)–-a platform where research p","url":"https://github.com/zooai/papers/tree/main/zoo-desci-platform"},{"kind":"paper","id":"zoo-dex","title":"Zoo DEX: Decentralized Exchange for AI Assets and Research Tokens","summary":"We present Zoo DEX, a decentralized exchange on the Zoo Network (chain ID 200200) that combines native EVM precompile AMM pools with a GPU-accelerated order book for trading AI assets and research tokens. Zoo DEX inherits the Lux DEX precompiles (LP-9010 through LP-9040) for sub-microsecond pool operations and extends them with AI-specific features: a model pricing oracle that values AI model NFTs based on inference ","url":"https://github.com/zooai/papers/tree/main/zoo-dex"},{"kind":"paper","id":"zoo-educational-ai","title":"Educational AI for Conservation: Adaptive Learning Systems Personalized Conservation Education through Intelligent Tutoring and Multi-Language Assessment","summary":"Conservation education faces persistent challenges: diverse learner populations spanning indigenous communities, field biologists, policy makers, and the general public; limited access in remote ecosystems where biodiversity loss is most acute; and a rapidly expanding scientific knowledge base that outpaces traditional curricula. We present ZooEd, a decentralized adaptive learning system built on the Zoo Network that","url":"https://github.com/zooai/papers/tree/main/zoo-educational-ai"},{"kind":"paper","id":"zoo-evm-benchmarks","title":"Zoo EVM Performance: GPU-Accelerated Execution on a Conservation-First L2","summary":"We present performance benchmarks for the Zoo Network EVM, a conservation-focused L2 on Lux Network (chain ID 200200) that inherits the Lux C++ EVM with GPU shader acceleration. The Zoo EVM achieves a 1 billion gas block limit, processing up to 47,619 simple transactions per block. With GPU-parallel opcode execution, the EVM reaches 47.6 million transactions per second (TPS) in raw execution throughput, and 4.76 mill","url":"https://github.com/zooai/papers/tree/main/zoo-evm-benchmarks"},{"kind":"paper","id":"zoo-evm-l2-architecture","title":"Zoo EVM: A Post-Quantum Safe Layer 2 Blockchain with AI-Native Precompiles on the Lux Network","summary":"We present Zoo EVM, a Layer 2 blockchain designed for decentralized artificial intelligence research and decentralized science (DeSci). Operating as a sovereign subnet on the Lux Network, Zoo EVM features 20 precompiles including NIST PQC standards (ML-DSA, SLH-DSA, ML-KEM), threshold signatures (FROST, CGGMP21), privacy primitives (FHE, zero-knowledge proofs, ring signatures), and a novel AI Mining precompile for pr","url":"https://github.com/zooai/papers/tree/main/zoo-evm-l2-architecture"},{"kind":"paper","id":"zoo-experience-ledger","title":"Zoo Experience Ledger: A Content-Addressable Semantic Memory System for Decentralized AI","summary":"We present the Zoo Experience Ledger, a content-addressable semantic memory system designed for decentralized AI agents. Originally proposed in the Zoo whitepaper (October 2021)–-thirteen months before OpenAI's ChatGPT (November 2022) and well before vector databases entered mainstream adoption–-the Experience Ledger stores AI reasoning patterns as cryptographically-verified semantic objects distributed across ipfs a","url":"https://github.com/zooai/papers/tree/main/zoo-experience-ledger"},{"kind":"paper","id":"zoo-federated-wildlife","title":"Federated Learning for Wildlife Monitoring: Privacy-Preserving Multi-Site Analysis Cross-Institutional Data Collaboration with Differential Privacy and Heterogeneous Sensor Fusion","summary":"Wildlife monitoring generates vast quantities of sensitive data across geographically distributed sites managed by independent institutions with heterogeneous sensor deployments and conflicting data-sharing policies. Training unified machine learning models on this fragmented landscape traditionally requires centralizing raw data–-a process that is often legally prohibited, ethically problematic, and logistically imp","url":"https://github.com/zooai/papers/tree/main/zoo-federated-wildlife"},{"kind":"paper","id":"zoo-fhe","title":"Threshold Fully Homomorphic Encryption on Zoo Network: GPU-Accelerated Confidential Computation Privacy-Preserving Smart Contracts via TFHE and CKKS","summary":"We present Zoo Network's integration of threshold fully homomorphic encryption (TFHE and CKKS) into a Layer2 blockchain, enabling arbitrary computation on encrypted on-chain state. Zoo deploys programmable bootstrapping (TFHE) for boolean and integer circuits and approximate arithmetic (CKKS) for privacy-preserving machine-learning inference directly within smart contracts. By mapping the Number Theoretic Transform b","url":"https://github.com/zooai/papers/tree/main/zoo-fhe"},{"kind":"paper","id":"zoo-fhe-ai","title":"Zoo FHE: Privacy-Preserving AI Training and Inference on the Zoo Network","summary":"We present Zoo FHE, a framework for privacy-preserving AI training and inference on the Zoo Network (chain ID 200200), a conservation-focused L2 on Lux Network. Zoo FHE combines two fully homomorphic encryption schemes–-tfhe for boolean/integer operations and ckks for approximate fixed-point arithmetic–-to support encrypted model weights, encrypted inference, and encrypted training gradients. The system is exposed to","url":"https://github.com/zooai/papers/tree/main/zoo-fhe-ai"},{"kind":"paper","id":"zoo-foundation-mission","title":"Zoo Labs Foundation: AI and Blockchain Research for Conservation, Education, and Frontier Science","summary":"Biodiversity loss accelerates: roughly one million species face extinction within decades. Contemporary AI and blockchain tooling remains inaccessible to conservation work. Zoo Labs Foundation Inc (zoolabs.io) is a 501(c)(3) non-profit research organization applying AI and blockchain to conservation, education, and open research. This October 2021 mission statement introduces our founding vision: an agentic metaverse","url":"https://github.com/zooai/papers/tree/main/zoo-foundation-mission"},{"kind":"paper","id":"zoo-fund-impact-oracle","title":"Impact Metric Oracles: Verifiable Conservation Outcomes On-Chain","summary":"Conservation funding suffers from an accountability gap: donors provide capital, organizations spend it, and outcome claims are self-reported months or years later with no independent verification mechanism. We present an on-chain oracle network that closes this gap by ingesting heterogeneous environmental data–-satellite imagery (MODIS, Landsat-8/9), camera-trap photographs, acoustic sensor recordings, IoT water-qua","url":"https://github.com/zooai/papers/tree/main/zoo-fund-impact-oracle"},{"kind":"paper","id":"zoo-fund-impact-thesis","title":"The Zoo Labs Impact Thesis: Measurable, Verifiable, Scalable Conservation Finance","summary":"Zoo Labs Foundation is a 501(c)(3) nonprofit research network that operates as the mission layer of the Lux-Hanzo-Zoo ecosystem. This paper formalizes the foundation's impact thesis: that blockchain infrastructure can transform conservation finance from a trust-dependent, opaque, and unverifiable system into one where every dollar is traceable, every outcome is measured, and every claim is settled against independent","url":"https://github.com/zooai/papers/tree/main/zoo-fund-impact-thesis"},{"kind":"paper","id":"zoo-fund-platform","title":"Zoo Fund: A Transparent Conservation Finance Platform on Programmable Blockchain","summary":"We present Zoo Fund, an end-to-end conservation finance platform built on the Lux Network that replaces the opaque fundraising and disbursement processes typical of traditional nonprofits with a fully on-chain, auditable pipeline. A donor submits funds–-fiat or cryptocurrency–-which are received by a DonationRouter smart contract that allocates capital across conservation programs according to donor preference or gov","url":"https://github.com/zooai/papers/tree/main/zoo-fund-platform"},{"kind":"paper","id":"zoo-fund-treasury","title":"Decentralized Treasury Management for a Conservation NGO: The Zoo Labs Foundation","summary":"We present the treasury management architecture for Zoo Labs Foundation, a 501(c)(3) nonprofit operating on-chain conservation programs on the Lux Network. The treasury implements a 3-of-5 Gnosis Safe multi-signature wallet with mixed signer composition (two foundation board members, two DAO-elected community representatives, one independent auditor) and segregates assets into four fund types–-Conservation (restricte","url":"https://github.com/zooai/papers/tree/main/zoo-fund-treasury"},{"kind":"paper","id":"zoo-fund-validator-rewards","title":"Conservation-Aligned Validator Rewards: A Consensus Incentive Structure","summary":"We describe a mandatory reward-split mechanism embedded at the protocol level of Zoo Network–-an L2 chain on the Lux blockchain–-that diverts a fraction of all network revenue (base fees, priority fees, sequencer revenue, and data-availability fees) to a conservation fund managed by Zoo Labs Foundation. The ConservationFeeSplitter contract enforces default splits of 20% on base and priority fees, 30% on sequencer/MEV","url":"https://github.com/zooai/papers/tree/main/zoo-fund-validator-rewards"},{"kind":"paper","id":"zoo-gpu-evm","title":"GPU-Accelerated EVM Execution: Parallel Smart Contract Processing on Zoo Network Deterministic High-Throughput Transaction Processing via cevm","summary":"We present cevm, a C++ GPU-accelerated Ethereum Virtual Machine achieving 2.3 billion gas operations per second (Gops/sec) on a single data-center GPU. cevm partitions each block into a maximal independent set executed in parallel on GPU streaming multiprocessors and a residual conflict set executed sequentially. Post-execution conflict detection triggers deterministic re-execution, guaranteeing identical state roots","url":"https://github.com/zooai/papers/tree/main/zoo-gpu-evm"},{"kind":"paper","id":"zoo-gym-compute-proof","title":"Proof-of-Compute for Federated Language Model Training: A Cryptographic Framework","summary":"We present a Proof-of-Compute (PoC) framework for verifying that a participant in decentralized language model training actually performed the claimed computation. PoC combines three mechanisms: (1) Ed25519 delta signatures–-each training delta is signed by the worker's key, binding the worker identity to the computation output; (2) gradient hashing–-intermediate gradient states are committed via SHA3-256 hash chains","url":"https://github.com/zooai/papers/tree/main/zoo-gym-compute-proof"},{"kind":"paper","id":"zoo-gym-grpo-continuous","title":"Continuous GRPO: Training-Free Preference Optimization for Federated Language Models","summary":"We present Continuous GRPO, a method for improving language model performance without gradient updates. Instead of modifying model weights, Continuous GRPO maintains a curated experience library–-a set of concise natural-language strategies (32 words each)–-that is injected into the model context at inference time. A three-stage llm pipeline extracts, refines, and consolidates these experiences from groups of model r","url":"https://github.com/zooai/papers/tree/main/zoo-gym-grpo-continuous"},{"kind":"paper","id":"zoo-gym-orchestrator","title":"Hanzod: Distributed Training Orchestration for the Zoo Gym","summary":"We present hanzod, the distributed training orchestrator for Zoo Gym. Hanzod coordinates heterogeneous GPU nodes into ring topologies, schedules GSPO training jobs, validates submitted deltas, aggregates checkpoints, and publishes trained models. Implemented in Rust for performance and memory safety, hanzod manages the full lifecycle of a decentralized training job: node registration, bandwidth probing, ring construc","url":"https://github.com/zooai/papers/tree/main/zoo-gym-orchestrator"},{"kind":"paper","id":"zoo-gym-protocol","title":"Zoo Gym: A Decentralized Generalized Yield Mining Protocol for GSPO Training","summary":"We present Gym, a decentralized protocol for training large language models through Generalized Yield Mining. Gym organizes heterogeneous GPU nodes into a ring-topology network that executes Group Sequence Policy Optimization (Gspo), a variant of GRPO adapted for sparse Mixture-of-Experts architectures. Training deltas–-parameter updates produced by each worker–-are serialized in a compact binary format, authenticate","url":"https://github.com/zooai/papers/tree/main/zoo-gym-protocol"},{"kind":"paper","id":"zoo-gym-tokenomics","title":"Tokenomics of Zoo Gym: Compute-to-Yield Mining and Training Reward Markets","summary":"We formalize the token economics of Zoo Gym, a decentralized training protocol in which GPU providers earn rewards by contributing compute to GSPO model training. The protocol involves two tokens: (fixed supply, governance). We derive the reward function from three measurable signals–-FLOPs contributed, delta quality score, and network uptime–-and show that rational miners maximize earnings by submitting high-quality","url":"https://github.com/zooai/papers/tree/main/zoo-gym-tokenomics"},{"kind":"paper","id":"zoo-habitat-modeling","title":"Neural Habitat Modeling: Predicting Species Distribution Under Climate Change","summary":"Predicting how species distributions shift under climate change is among the most consequential challenges in conservation biology. Classical species distribution models (SDMs) rely on correlative relationships between occurrence records and bioclimatic variables, yet they often fail to capture complex, non-linear habitat dependencies and spatial autocorrelation. We present HabitatNet, a graph neural network framewor","url":"https://github.com/zooai/papers/tree/main/zoo-habitat-modeling"},{"kind":"paper","id":"zoo-hamiltonian-llm","title":"Hamiltonian Large Language Models: Energy-Based Inference for Zoo AI","summary":"We introduce Hamiltonian Large Language Models (HLLMs), a reformulation of autoregressive language modeling through the lens of Hamiltonian mechanics. Where standard transformers define next-token prediction as a chain of conditional softmax distributions, HLLMs introduce a conserved energy function over token embeddings and latent momenta that governs inference dynamics. We show that the energy conservation property","url":"https://github.com/zooai/papers/tree/main/zoo-hamiltonian-llm"},{"kind":"paper","id":"zoo-hanzo-settlement","title":"Zoo Hanzo Settlement Integration: AI Compute Payments from Zoo Applications","summary":"We present the settlement integration between Zoo DeFi protocols and the Hanzo AI compute marketplace. The protocol enables tokens are escrowed in a Settlement Vault with configurable payment modes (prepaid, streaming, postpaid); (2)compute execution on Hanzo, where the Compute Oracle attests to usage via signed reports; and (3)finalization on Lux C-Chain, where the Settlement Ledger records the immutable payment rec","url":"https://github.com/zooai/papers/tree/main/zoo-hanzo-settlement"},{"kind":"paper","id":"zoo-identity-chain","title":"Decentralized Identity on Zoo Network: Chain-Native DIDs and Verifiable Credentials via I-Chain IdentityVM: Replacing External IAM with Validator-Backed Identity","summary":"We present I-Chain (IdentityVM), a chain-native decentralized identity layer for Zoo Network that replaces external Identity and Access Management (IAM) systems with validator-backed W3C Decentralized Identifiers (DIDs) and verifiable credentials. I-Chain implements the did:lux:zoo:* method, where validators collectively serve as identity providers through threshold credential issuance. Credentials carry zero-knowled","url":"https://github.com/zooai/papers/tree/main/zoo-identity-chain"},{"kind":"paper","id":"zoo-impact-bonds","title":"Biodiversity Impact Bonds: Tokenized Conservation Finance","summary":"Conservation finance faces a persistent funding gap estimated at $700 billion annually. Traditional funding mechanisms–-government grants, philanthropic donations, and environmental levies–-are insufficient in scale and poorly aligned with measurable outcomes. We propose Biodiversity Impact Bonds (BIBs), a tokenized outcome-based financing instrument that connects conservation outcomes to financial returns through on","url":"https://github.com/zooai/papers/tree/main/zoo-impact-bonds"},{"kind":"paper","id":"zoo-key-management","title":"Post-Quantum Distributed Key Management: ML-KEM and ML-DSA on Zoo Network's K-Chain KeyVM: Replacing External KMS with Validator-Distributed Key Shares","summary":"We present K-Chain (KeyVM), a chain-native distributed key management system for Zoo Network that replaces external Key Management Services (KMS) with validator-distributed key shares and post-quantum cryptographic primitives. K-Chain implements ML-KEM (FIPS 203) for key encapsulation and ML-DSA (FIPS 204) for digital signatures, providing quantum-resistant security for all key operations. Classical BLS12-381 keypair","url":"https://github.com/zooai/papers/tree/main/zoo-key-management"},{"kind":"paper","id":"zoo-lux-bridge-protocol","title":"Zoo Lux Bridge: Multi-Chain Asset Transfer via Warp Messaging","summary":"We present the cross-chain bridge protocol between Zoo L2 (ChainID: 200200) and Lux Network (C-Chain, X-Chain, B-Chain). The bridge is built on the Lux Teleport architecture (LP-6332) and Warp messaging (ZIP-0022), and secured by MPC threshold signatures with a supermajority requirement using the GG20 threshold ECDSA scheme. It supports bridging of ZRC-20 fungible tokens, ZRC-721 wildlife NFTs with full metadata pres","url":"https://github.com/zooai/papers/tree/main/zoo-lux-bridge-protocol"},{"kind":"paper","id":"zoo-mainnet-launch-checklist","title":"Zoo Network Mainnet Launch: Technical Checklist and Rehearsal Plan","summary":"","url":"https://github.com/zooai/papers/tree/main/zoo-mainnet-launch-checklist"},{"kind":"paper","id":"zoo-mobile-inference","title":"Mobile Inference for Field Conservation: On-Device Species Recognition Model Compression, Quantization, and Offline-First Deployment for Edge Biodiversity Monitoring","summary":"Automated species recognition has achieved remarkable accuracy in laboratory settings, but deploying these models to the field–-where connectivity is absent, hardware is constrained, and real-time identification drives conservation decisions–-remains an open challenge. We present ZooMobile, a comprehensive framework for deploying species recognition models on consumer mobile devices and embedded sensors in conservati","url":"https://github.com/zooai/papers/tree/main/zoo-mobile-inference"},{"kind":"paper","id":"zoo-mpc-custody","title":"Zoo MPC: Threshold Custody for AI Model Weights and Research Assets","summary":"We present Zoo MPC, a threshold custody system for AI model weights, research datasets, and autonomous agent wallets on the Zoo Network (chain ID 200200). Built on the Lux M-Chain's multi-party computation infrastructure–-specifically CGGMP21 for ECDSA and FROST for Schnorr/EdDSA–-Zoo MPC addresses three custody challenges unique to decentralized AI: (1) model weight custody, where trained models worth millions of do","url":"https://github.com/zooai/papers/tree/main/zoo-mpc-custody"},{"kind":"paper","id":"zoo-network-architecture","title":"Zoo Network: Decentralized AI Training and Inference Layer with Semantic Optimization","summary":"We present Zoo Network, a specialized Layer 2 blockchain infrastructure for decentralized artificial intelligence training, inference, and governance. Built atop the Hanzo compute layer, Zoo extends base blockchain capabilities with AI/ML-specific primitives including the Hamiltonian Large Language Model (HLLM) framework, Training-Free Group Relative Policy Optimization (GRPO), and the Experience Ledger—a content-add","url":"https://github.com/zooai/papers/tree/main/zoo-network-architecture"},{"kind":"paper","id":"zoo-nft-liquidity-protocol","title":"ZOO: A NFT Liquidity Protocol for Wildlife Conservation Genesis Retrospective","summary":"We present the Zoo NFT Liquidity Protocol, a collateral-backed breeding and staking mechanism for AI-powered digital animals that aligns speculative DeFi incentives with real-world endangered species conservation. Originating in the Zoo Gen0 Deck of October 2021–-predating ChatGPT by over a year–-the protocol introduced emotionally intelligent, conversational NFT avatars backed by locked collateral, tiered yield gene","url":"https://github.com/zooai/papers/tree/main/zoo-nft-liquidity-protocol"},{"kind":"paper","id":"zoo-omnichain-teleport","title":"Zoo Omnichain Teleport: Unified Liquidity and NFT Bridging across 18+ Chains","summary":"We present the Zoo Omnichain Teleport extension, which extends the Zoo-Lux Bridge Protocol (ZIP-0800) to support conservation DeFi across 270+ destination chains via the Lux Teleport architecture. The extension routes from Zoo EVM (ChainID: 200200) through the Lux Teleport hub (LPS-016) to native bridge programs on Solana, TON, Cosmos, and Move-based chains (Aptos, Sui), in addition to 50+ EVM chains. It introduces y","url":"https://github.com/zooai/papers/tree/main/zoo-omnichain-teleport"},{"kind":"paper","id":"zoo-per-llm-chains","title":"Per-LLM Chains One Sovereign Chain per Model: Unified Training, Research, and Pooled GPU Hosting on Quasar 3.0","summary":"We introduce the Per-LLM Chain architecture: a sovereign Quasar-certified appchain dedicated to the lifetime of a single large language model. Each chain binds together training-data provenance, compute receipts, research artifact registries, contributor attribution graphs, and inference revenue distribution into a single consensus-ordered ledger. Per-LLM chains settle on Lux Quasar 3.0 (lp-020) via the Quasar-Native","url":"https://github.com/zooai/papers/tree/main/zoo-per-llm-chains"},{"kind":"paper","id":"zoo-poai-consensus","title":"Proof of AI: A Consensus Mechanism for Verifiable Compute Contribution","summary":"We introduce Proof of AI (PoAI), a novel consensus mechanism designed for networks where participants contribute AI compute rather than hash power or stake. Unlike Proof of Work which wastes energy on cryptographic puzzles, or Proof of Stake which concentrates power among token holders, PoAI rewards nodes for performing useful AI computation: inference, training, and experience extraction. Our protocol combines three","url":"https://github.com/zooai/papers/tree/main/zoo-poai-consensus"},{"kind":"paper","id":"zoo-pq-crypto","title":"Post-Quantum Cryptography Suite for Zoo Network: ML-KEM, ML-DSA, SLH-DSA, and Corona NIST FIPS 203/204/205 Integration with Lattice-Based Threshold Signatures","summary":"We present the post-quantum cryptography suite deployed across Zoo Network, implementing all three NIST post-quantum standards–-ML-KEM (FIPS203), ML-DSA (FIPS204), and SLH-DSA (FIPS205)–-alongside the Corona lattice-based threshold signature scheme. Each primitive serves a distinct role: K-Chain uses ML-KEM for key encapsulation and ML-DSA for transaction signatures; Q-Chain uses Corona for threshold validator operat","url":"https://github.com/zooai/papers/tree/main/zoo-pq-crypto"},{"kind":"paper","id":"zoo-quasar-benchmarks","title":"Zoo Network Consensus: Quasar + PoAI Dual-Layer Verification","summary":"We present the dual-layer consensus architecture of the Zoo Network (chain ID 200200): Quasar for block consensus and PoAI for AI compute verification. Quasar, inherited from the Lux Network, provides deterministic finality in 10ms with message complexity, making it the fastest BFT consensus protocol deployed in production. PoAI operates as a verification overlay that attests to the correctness of AI compute contribu","url":"https://github.com/zooai/papers/tree/main/zoo-quasar-benchmarks"},{"kind":"paper","id":"zoo-research-coordination","title":"Decentralized Research Coordination: Federated Experiment Management for DeSci A Protocol for Reproducible, Incentive-Aligned Scientific Collaboration on Distributed Networks","summary":"Scientific research faces a reproducibility crisis compounded by institutional fragmentation, misaligned incentives, and opaque experimental workflows. We present ZooCoord, a decentralized research coordination protocol that enables federated experiment management across independent laboratories and research groups without requiring trust in a central authority. The protocol introduces three primitives: Experiment Co","url":"https://github.com/zooai/papers/tree/main/zoo-research-coordination"},{"kind":"paper","id":"zoo-satellite-ecology","title":"Satellite-Based Ecological Monitoring: Deep Learning for Land Use Change Detection Remote Sensing with Temporal CNNs for Deforestation Tracking and Habitat Fragmentation Analysis","summary":"Land use change–-particularly deforestation, agricultural expansion, and urban encroachment–-is the primary driver of biodiversity loss, yet monitoring these changes at global scale with sufficient spatial and temporal resolution for conservation intervention remains a formidable challenge. We present ZooSat, a deep learning pipeline for continuous ecological monitoring from satellite imagery that detects land use ch","url":"https://github.com/zooai/papers/tree/main/zoo-satellite-ecology"},{"kind":"paper","id":"zoo-spatial-web-agents","title":"Spatial Web: Active Inference and Agent-to-Agent Economies for Zoo AI","summary":"We present Zoo's spatial AI framework, which combines IEEE 2874 Spatial Web standards with active inference agents and decentralized agent-to-agent (A2A) economies. Agents perceive 3D environments via point cloud encoders and scene graph networks, maintain generative models of their environments, and act to minimize expected free energy (EFE). Economic interactions between agents are mediated by resource tokens (COMP","url":"https://github.com/zooai/papers/tree/main/zoo-spatial-web-agents"},{"kind":"paper","id":"zoo-species-classification","title":"Few-Shot Visual Recognition for Biodiversity Monitoring","summary":"Automated species identification is fundamental to scalable biodiversity monitoring, yet most deep learning classifiers require hundreds or thousands of labeled images per species–-a prohibitive requirement for the vast majority of Earth's estimated 8.7 million species. We present TaxoNet, a few-shot visual recognition framework designed for fine-grained species classification in ecological monitoring contexts. TaxoN","url":"https://github.com/zooai/papers/tree/main/zoo-species-classification"},{"kind":"paper","id":"zoo-threshold-signatures","title":"Chain-Native Threshold Signatures:and CGGMP21 on Zoo Network's T-Chain Replacing External MPC with Consensus-Secured Threshold Cryptography","summary":"We present T-Chain (ThresholdVM), a chain-native threshold signature subsystem for Zoo Network that eliminates the need for external multi-party computation (MPC) services. T-Chain embeds FROST (Flexible Round-Optimized Schnorr Threshold signatures), CGGMP21 (threshold ECDSA with identifiable abort), and Linear Secret Sharing (LSS) directly into the validator set, so that validators are the MPC parties. All keygen, s","url":"https://github.com/zooai/papers/tree/main/zoo-threshold-signatures"},{"kind":"paper","id":"zoo-token-bound-accounts","title":"Token-Bound Accounts for Wildlife: Giving Animals Their Own Wallets","summary":"We present the Zoo implementation of token-bound accounts (TBAs) for wildlife NFTs, based on ERC-6551 and the Lux LRC-6551 standard (LP-9551). Every ZRC-721 wildlife NFT receives a deterministic smart contract wallet that can hold ZRC-20 tokens, other NFTs, and ZRC-1155 badges. This enables wildlife NFTs to receive direct donations for specific animals, accumulate conservation action histories, hold research data art","url":"https://github.com/zooai/papers/tree/main/zoo-token-bound-accounts"},{"kind":"paper","id":"zoo-tokenomics","title":"Zoo Network Tokenomics: Fair Distribution Through Complete Airdrop Democratizing AI Infrastructure via Community Ownership","summary":"We present the tokenomic architecture of Zoo Network, a specialized Layer 2 AI blockchain built on Hanzo compute infrastructure. Zoo implements a revolutionary distribution model: 100% community airdrop with zero venture capital, private sales, or preferential allocations. With a fixed supply of 2 trillion tokens (1T DAO treasury, 1T community-distributed), Zoo establishes a new paradigm for fair-launch AI infrastruc","url":"https://github.com/zooai/papers/tree/main/zoo-tokenomics"},{"kind":"paper","id":"zoo-user-owned-models","title":"User-Owned AI Models on Zoo:-Based Model Ownership","summary":"We define the ZRC-AI token standard, an extension of ERC-721 that represents user-owned AI models as non-fungible tokens. Each ZRC-AI token encapsulates a model identity (content-addressed hash of the base model plus the user's BitDelta adapter), a training provenance ledger (immutable record of all training operations), a performance certificate (on-chain benchmark scores), and an economic structure (lease pricing, ","url":"https://github.com/zooai/papers/tree/main/zoo-user-owned-models"},{"kind":"paper","id":"zoo-voting-platform","title":"zoo.vote: Quadratic and Conviction Voting for Conservation Decisions","summary":"We present zoo.vote, a governance platform for the Zoo ecosystem that implements quadratic voting, conviction voting, and Snapshot-style off-chain signaling with on-chain execution. The platform extends the Fractal DAO framework with conservation-specific governance primitives: vote weights derived from $zoo token holdings and on-chain reputation, delegation with conservation-impact weighting, and gasless voting via ","url":"https://github.com/zooai/papers/tree/main/zoo-voting-platform"},{"kind":"paper","id":"zoo-whitepaper","title":"Zoo Labs: A Game-Fi Multiverse for Conservation of Endangered Species Whitepaper","summary":"As we stand on the cusp of a digital revolution, an innovative project known as Zoo is propelling us into the uncharted territories of the metaverse, Web3, and Game-Fi. This initiative represents a radical rethinking of how we perceive and interact with the world, both physical and digital. Zoo is a cornerstone of the emerging metaverse, an expansive and interconnected virtual space that is the next frontier in inter","url":"https://github.com/zooai/papers/tree/main/zoo-whitepaper"},{"kind":"paper","id":"zoo-wildlife-tracking","title":"Decentralized Wildlife Tracking: Privacy-Preserving Animal Movement Analytics on Blockchain","summary":"Wildlife tracking generates sensitive geospatial data that, if exposed, can be exploited by poachers targeting endangered species. Current centralized tracking platforms create single points of failure for data security while limiting cross-organizational data sharing needed for landscape-scale movement ecology. We present WildTrack, a decentralized wildlife tracking protocol built on the Zoo network that enables pri","url":"https://github.com/zooai/papers/tree/main/zoo-wildlife-tracking"},{"kind":"paper","id":"zoo-zchain-zkp","title":"Z-Chain: A Universal Zero-Knowledge Proof Platform with Post-Quantum Security on Zoo Network","summary":"We present Z-Chain, the zero-knowledge proof substrate of Zoo Network, providing universal proving, cheap verification, and composable proofs across all Zoo chains. Z-Chain implements a dual-lane architecture: a production lane (Groth16, PLONK, STARK) for stable deployments, and a research lane for experimental proof systems with versioned capability identifiers. The core primitive is the Universal Receipt–-a chain-n","url":"https://github.com/zooai/papers/tree/main/zoo-zchain-zkp"},{"kind":"paper","id":"zoo-zrc-1155","title":"ZRC-1155: Multi-Token Standard for Conservation Assets","summary":"We present ZRC-1155, the multi-token standard for the Zoo L2 chain. ZRC-1155 extends ERC-1155 and the Lux LRC-1155 standard (LP-2155) to support fungible, non-fungible, semi-fungible, and soulbound tokens within a single contract. The standard introduces token-level conservation categorization (species, habitat, research, impact, gaming), a structured tokenID encoding scheme that embeds category and type information ","url":"https://github.com/zooai/papers/tree/main/zoo-zrc-1155"},{"kind":"paper","id":"zoo-zrc-20","title":"ZRC-20: Zoo Fungible Token Standard with Conservation Hooks","summary":"We present ZRC-20, the canonical fungible token standard for the Zoo L2 chain (ChainID: 200200). ZRC-20 is fully ERC-20 compatible and extends the Lux LRC-20 standard (LP-3020) with three conservation-specific mechanisms: (1)auto-donation on transfer, where a configurable fraction of each transfer (up to 5%) is directed to a verified conservation fund; (2)burn-for-conservation, where token holders permanently burn to","url":"https://github.com/zooai/papers/tree/main/zoo-zrc-20"},{"kind":"paper","id":"zoo-zrc-721","title":"ZRC-721: Zoo Non-Fungible Token Standard with Yield Transferability and Conservation Semantics","summary":"We present ZRC-721, the canonical non-fungible token standard for the Zoo L2 chain (ChainID: 200200). ZRC-721 is fully ERC-721 compatible and extends the interface with three Zoo-specific mechanisms rooted in the project's 2021–2022 origins: (1)yield transferability until burn, where NFT yield and collateral transfer to new owners upon sale and are realized (claimed) when the animal is ``freed'' (burned)–-a pattern f","url":"https://github.com/zooai/papers/tree/main/zoo-zrc-721"}],"zips":[{"kind":"zip","id":"ZIP-0","title":"Zoo Ecosystem Architecture & Framework","summary":"This document specifies the Zoo ecosystem architecture, development framework, and the Zoo Improvement Proposal (ZIP) process. It is the canonical reference for Zoo's Lux-based EVM L2 infrastructure, DeFi stack, NFT marketplace, GameFi, and AI integrations.","topic":"Meta","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0000-zoo-ecosystem-architecture-framework/"},{"kind":"zip","id":"ZIP-1","title":"Hamiltonian Large Language Models (HLLMs) for Zoo","summary":"This proposal defines Zoo's integration with Hamiltonian Large Language Models (HLLMs) per-user AI models and establishes the ZOO token economics. Instead of domain-specific models, every Zoo user gets a personalized AI that learns from their DeFi strategies, gaming behavior, and NFT preferences. The ZOO token powers this AI-enhanced ecosystem through training rewards, compute payments, and governance.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0001-hamiltonian-large-language-models-for-zoo/"},{"kind":"zip","id":"ZIP-2","title":"Genesis Airdrop to Original ZOO Token Victims","summary":"This proposal defines the 100% genesis airdrop of new ZOO tokens to victims of the Logan Paul ZOO token that collapsed in October 2021. All holders of the original ZOO token at the time of its collapse receive a proportional share of the new ZOO token supply, representing a full restoration of their holdings in the new ecosystem.","topic":"Core","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0002-genesis-airdrop-to-original-zoo-token-victims/"},{"kind":"zip","id":"ZIP-3","title":"Eco-1: z-JEPA - A Hyper-Modal, MoE-Accelerated, Active-Inference Aligned Architecture","summary":"We present Eco-1, a hyper-modal learning stack whose core is z-JEPA: Zoo's Joint Embedding Predictive Architecture that learns world-state dynamics in latent space across video, audio, text, and 3D. Eco-1 composes: 1. A video backbone scaled to large datasets with native LLM alignment for video QA and instruction following 2. A HLLM (Hamiltonian Large Language Model) that governs routing, precision, and reasoning dep","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0003-eco-1-z-jepa-hyper-modal-moe-accelerated-active-inference-aligned-architecture/"},{"kind":"zip","id":"ZIP-4","title":"Gaming Standards for Zoo Ecosystem","summary":"This proposal establishes comprehensive gaming standards for the Zoo ecosystem, including game asset tokenization, cross-game interoperability, AI-powered NPCs using z-JEPA, play-to-earn mechanics, and decentralized game governance. These standards enable developers to create immersive, economically sustainable games where players truly own their assets and AI companions evolve through gameplay.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0004-gaming-standards-for-zoo-ecosystem/"},{"kind":"zip","id":"ZIP-5","title":"Post-Quantum Security for DeFi & NFTs","summary":"This proposal mandates Post-Quantum Cryptography for all Zoo ecosystem components, including DeFi protocols, NFT marketplace, and gaming infrastructure. Building on Lux Network's PQC implementation (LP-100) and Hanzo's AI security (HIP-5), this ensures quantum-resistant protection for user assets and transactions.","topic":"Security","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0005-post-quantum-security-for-defi-nfts/"},{"kind":"zip","id":"ZIP-6","title":"User-Owned AI Models on Zoo - NFT-Based Model Ownership","summary":"This proposal establishes a system where Zoo users own their personalized AI models as NFTs. Each user's interactions with Zoo's DeFi, gaming, and NFT features create a unique AI model that learns their preferences, strategies, and style. These models are tokenized as NFTs, making them tradeable, leasable, and composable assets within the Zoo ecosystem.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0006-user-owned-ai-models-on-zoo-nft-based-model-ownership/"},{"kind":"zip","id":"ZIP-7","title":"BitDelta + DeltaSoup - Personalized and Community AI","summary":"This proposal specifies Zoo's dual approach to AI model improvement: BitDelta for efficient per-user personalization and DeltaSoup for community-aggregated enhancements. BitDelta compresses user-specific fine-tune deltas to 1-bit signs plus per-tensor scales, achieving 10× memory savings while preserving safety properties. DeltaSoup aggregates signed deltas from many users via Byzantine-robust averaging to create rep","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0007-bitdelta-deltasoup-personalized-and-community-ai/"},{"kind":"zip","id":"ZIP-8","title":"Specialized Avatar Tutors for Personalized Learning with Prerequisite Scaffolding","summary":"We propose ZOOAI Avatar Tutors, a suite of domain-specialized, animal-themed AI tutors that provide personalized education with prerequisite-aware scaffolding, multi-source citation, and calibrated confidence indicators. Unlike general chat LLMs that lack stable teaching roles and struggle with knowledge gaps, our avatars maintain consistent pedagogical personas while adapting to individual learner needs. Each avatar","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0008-specialized-avatar-tutors-for-personalized-learning-with-prerequisite-scaffolding/"},{"kind":"zip","id":"ZIP-9","title":"Unified BitDelta Architecture for All Zoo AI Systems","summary":"This proposal standardizes BitDelta as the universal personalization architecture across all Zoo AI systems - avatar tutors, game NPCs, DeFi advisors, and user agents. By unifying on BitDelta's 1-bit compression with per-tensor scaling, we achieve 10× memory efficiency while maintaining performance, enabling millions of personalized AI experiences. This standard defines how all Zoo AI components implement BitDelta fo","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0009-unified-bitdelta-architecture-for-all-zoo-ai-systems/"},{"kind":"zip","id":"ZIP-10","title":"Zoo Launch Models - Eco-1, Coder-1, and Nano-1","summary":"Zoo launches three specialized AI models: Eco-1 for multimodal behavioral learning with z-JEPA/v-JEPA v2 architecture, Coder-1 for programming and technical tasks, and Nano-1 for edge deployment. Each model features native thinking tokens for transparent reasoning, BitDelta for efficient personalization, and incorporates advances from GLM4.5 including self-critique mechanisms and hybrid retrieval. These models form t","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0010-zoo-launch-models-eco-1-coder-1-and-nano-1/"},{"kind":"zip","id":"ZIP-11","title":"Spatial Web, Active Inference, and Agent-to-Agent Economies for Zoo AI","summary":"This proposal establishes Zoo's spatial understanding framework leveraging IEEE 2874 Spatial Web standards, active inference through Agent-to-Agent (A2A) DID simulations, and decentralized AI economies. By combining spatial computing with active inference theory, Zoo creates autonomous agents that perceive 3D environments, minimize surprise through predictive models, and engage in economic transactions. This enables ","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0011-spatial-web-active-inference-and-agent-to-agent-economies-for-zoo-ai/"},{"kind":"zip","id":"ZIP-12","title":"LP (Lux Proposals) Integration - Chain-Agnostic AI Standards","summary":"This proposal integrates the LP (Lux Proposals) standard family into Zoo's AI infrastructure, establishing chain-agnostic types and flows for AI jobs, verifiable receipts, royalties, personas, training campaigns, and DAO-run model releases. Zoo serves as the primary Registry (LP-R) role, while coordinating with Hanzo (LP-C for compute) and sovereign AI L1s (LP-D for DAO LLMs), all anchored to Lux for finality and set","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0012-lp-integration-chain-agnostic-ai-standards/"},{"kind":"zip","id":"ZIP-13","title":"LP Standards Conformance and Chain Interoperability","summary":"This proposal establishes Zoo (Chain ID: 122) as the canonical LP-R (Registry) implementation in the Lux ecosystem, ensuring full conformance with LP standards and seamless interoperability with Lux (120) and Hanzo (121). It defines how Zoo implements required Ethereum standards (ERC-20, ERC-721, ERC-1155, ERC-4337), extends them for AI use cases, and bridges them across chains.","topic":"Core","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0013-lp-standards-conformance-and-chain-interoperability/"},{"kind":"zip","id":"ZIP-14","title":"Zoo KMS Integration via Lux KMS","summary":"This proposal specifies that Zoo Network (Chain ID: 122) re-uses Lux KMS ([LP-325](https://github.com/luxfi/lps/blob/main/LPs/lp-325.md)) for Hardware Security Module (HSM) integration without additional custom extensions. Zoo validators, semantic learning nodes, and experience library encryption all utilize the base Lux KMS infrastructure for cryptographic operations.","topic":"Core","status":"Active","url":"https://zips.zoo.ngo/docs/zip-0014-zoo-kms-integration-via-lux-kms/"},{"kind":"zip","id":"ZIP-15","title":"Zoo L2 Chain Architecture","summary":"Zoo Network operates as an L2 chain on the Lux Network, meaning it is validated by the Lux primary network validators rather than maintaining its own independent validator set. This architecture provides Zoo with inherited security from the primary network while reducing operational complexity and enabling faster ecosystem growth.","topic":"Core","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0015-zoo-l2-chain-architecture/"},{"kind":"zip","id":"ZIP-16","title":"ZOO Token Economics","summary":"This proposal defines the economic model for the ZOO token, including initial distribution, inflation schedule, vesting periods, and the mandatory conservation allocation mechanism. ZOO serves as the native gas and governance token of Zoo Network (L2 on Lux Network) with a fixed initial supply of 1,000,000,000 (1B) tokens and a capped annual inflation rate that decreases over time.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0016-zoo-token-economics/"},{"kind":"zip","id":"ZIP-17","title":"DAO Governance Framework","summary":"This proposal establishes the on-chain governance framework for Zoo Network. It defines the DAO structure, proposal types, voting mechanisms, quorum thresholds, timelock parameters, and the interaction between on-chain governance and the Zoo Labs Foundation board's compliance veto authority as outlined in ZIP-0000.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0017-dao-governance-framework/"},{"kind":"zip","id":"ZIP-18","title":"Treasury Management Protocol","summary":"This proposal specifies the on-chain treasury management system for Zoo Network, including multi-signature wallet configuration, tiered spending limits, mandatory audit procedures, fund segregation between conservation and operational accounts, and reporting requirements. The treasury holds all protocol-owned assets and conservation funds.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0018-treasury-management-protocol/"},{"kind":"zip","id":"ZIP-19","title":"Validator Rewards Conservation Split","summary":"This proposal defines a mandatory split of Zoo Network validator rewards between stakers and the conservation fund. As an L2 on Lux Network, Zoo does not operate its own validator set, but it does generate sequencer fees and MEV revenue. This ZIP specifies that a minimum of 20% of all such revenue flows to the conservation fund, with the split adjustable by governance within defined bounds.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0019-validator-rewards-conservation-split/"},{"kind":"zip","id":"ZIP-20","title":"Impact Metric Oracle","summary":"This proposal defines an on-chain oracle system for ingesting, verifying, and publishing conservation impact metrics on Zoo Network. The oracle aggregates data from field sensors, satellite imagery, partner NGOs, and citizen science platforms, producing standardized impact scores that can be consumed by smart contracts for reward distribution, grant evaluation, and donor reporting.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0020-impact-metric-oracle/"},{"kind":"zip","id":"ZIP-21","title":"Zoo Naming Service","summary":"This proposal defines the Zoo Naming Service (ZNS), a decentralized domain name system on Zoo Network that maps human-readable .zoo names to wallet addresses, smart contracts, IPFS content, and conservation project identifiers. ZNS enables users to register names like alice.zoo or borneo-orangutan.zoo for identity, payments, and project discovery.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0021-zoo-naming-service/"},{"kind":"zip","id":"ZIP-22","title":"Multi-Chain Bridge Standard","summary":"This proposal defines the standard bridge protocol for transferring ZOO tokens and other Zoo Network assets across chains. It specifies the native Lux Warp messaging bridge for Zoo L2 to Lux C-Chain transfers, and a lock-and-mint bridge for connections to external EVM chains (Ethereum, Arbitrum, Base). The standard enforces security invariants including supply conservation, rate limiting, and multi-operator verificat","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0022-multi-chain-bridge-standard/"},{"kind":"zip","id":"ZIP-23","title":"Community Grant Program","summary":"This proposal defines an on-chain grant program for funding conservation research, open-source development, citizen science, and community initiatives on Zoo Network. The system supports proposal submission, peer review, milestone-based funding, and impact-based evaluation using the Impact Metric Oracle (ZIP-0020). Grant funds are drawn from the Grants Fund (ZIP-0018) and new token emissions (ZIP-0016).","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0023-community-grant-program/"},{"kind":"zip","id":"ZIP-24","title":"Data Availability Layer","summary":"This proposal defines a data availability (DA) layer for Zoo Network that provides verifiable, censorship-resistant storage for AI model weights, biodiversity datasets, satellite imagery, and conservation records. The DA layer uses erasure coding and data availability sampling (DAS) to ensure data can be reconstructed even if a majority of storage nodes go offline, while keeping on-chain costs proportional to data co","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0024-data-availability-layer/"},{"kind":"zip","id":"ZIP-25","title":"Privacy-Preserving Donations","summary":"This proposal defines a zero-knowledge proof system that enables donors to make anonymous conservation donations on Zoo Network while optionally generating verifiable tax receipts. The system uses zk-SNARKs to prove donation amounts and eligibility without revealing donor identity on-chain, with an optional off-chain disclosure path for donors who want 501(c)(3) tax deductions.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0025-privacy-preserving-donations/"},{"kind":"zip","id":"ZIP-26","title":"Ecosystem Reputation System","summary":"This proposal defines a soulbound token (SBT) based reputation system for Zoo Network. Non-transferable reputation tokens are issued to contributors based on verified conservation activities, governance participation, grant completion, and ecosystem development. Reputation scores unlock governance weight multipliers, grant eligibility tiers, and ecosystem privileges without creating tradeable financial instruments.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0026-ecosystem-reputation-system/"},{"kind":"zip","id":"ZIP-27","title":"Emergency Governance Protocol","summary":"This proposal defines an emergency governance protocol that enables rapid response to conservation crises (natural disasters, poaching surges, habitat destruction events) and protocol security incidents (bridge exploits, contract vulnerabilities). The protocol provides tiered emergency categories with escalating authority, reduced voting periods, and automatic fund release mechanisms while maintaining accountability ","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0027-emergency-governance-protocol/"},{"kind":"zip","id":"ZIP-28","title":"Zoo SDK Specification","summary":"This proposal defines the standard interface and implementation requirements for official Zoo Network SDKs. The specification covers TypeScript, Python, Go, and Rust client libraries with a unified API surface for interacting with Zoo Network contracts, governance, grants, conservation data, and the naming service. All SDKs must implement a common interface while respecting language-specific idioms.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0028-zoo-sdk-specification/"},{"kind":"zip","id":"ZIP-29","title":"Gasless Transactions for Conservation","summary":"This proposal defines a meta-transaction relay system that sponsors gas fees for conservation-related actions on Zoo Network. Users performing donations, citizen science submissions, grant milestone reports, and impact data contributions can interact with the network without holding ZOO tokens for gas. The Foundation operates a relay network funded by a dedicated gas sponsorship pool, with EIP-2771 compliant forwardi","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0029-gasless-transactions-for-conservation/"},{"kind":"zip","id":"ZIP-30","title":"On-Chain Species Registry","summary":"This proposal defines an immutable on-chain registry of species data on Zoo Network, linked to the IUCN Red List and other authoritative taxonomic databases. The registry stores species identifiers, conservation status, habitat data, population estimates, and threat assessments as structured on-chain records. It serves as the canonical reference for conservation smart contracts, impact measurement (ZIP-0020), grant t","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0030-on-chain-species-registry/"},{"kind":"zip","id":"ZIP-31","title":"Zoo adopts LP-0010: Brand Sovereignty and Federation Discovery","summary":"Zoo adopts [LP-0010](https://github.com/luxfi/lps/blob/main/LPs/lp-0010-brand-sovereignty-and-federation-discovery.md) verbatim. The Lux Proposal is the canonical spec for the brand schema, per-org sovereignty, white-label-by-fork, the /.well-known/<appId>.json discovery endpoint (IETF RFC 8615), the ConfigMap peer overlay, and the Liquidity isolation rule. Zoo's zoo-labs/ and zooai/ repos carry only Zoo brand data; ","topic":"Governance","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0031-brand-sovereignty-and-federation-discovery/"},{"kind":"zip","id":"ZIP-32","title":"Zoo adopts LP-0011: Onchain Federation Registry","summary":"Zoo adopts [LP-0011](https://github.com/luxfi/lps/blob/main/LPs/lp-0011-onchain-federation-registry.md) verbatim on the Zoo subnet. The Lux Proposal is the canonical spec for the EVM precompile at address 0x0000000000000000000000000000000000011001, the schema, the commit-reveal flow, the JCS canonicalisation (RFC 8785), the 90-day re-attestation cadence, the 0.01 LUX anti-sybil fee, and the strict-PQ ML-DSA-65 owner-","topic":"Interface","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0032-onchain-federation-registry/"},{"kind":"zip","id":"ZIP-33","title":"Zoo Decentralized Identification Service (DID)","summary":"Zoo's October 31, 2021 whitepaper named \"Decentralized Identification Services (DIS)\" as the on-chain identity primitive that bounds XP and KEEPER token issuance and gates participation in higher-level governance. This ZIP formalizes that primitive as Zoo DID, an extension of the Lux base-layer DID specification (LP-060) with Zoo-specific attestation types for conservation contribution, quest completion, and DAO repu","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0033-zoo-did/"},{"kind":"zip","id":"ZIP-34","title":"Zoo XP & Quests Protocol","summary":"Formalizes the XP and Quest systems described in §11 of the October 31, 2021 founder whitepaper. XP is soulbound (tied to the holder's DID under ZIP-0033). Quests are on-chain or off-chain tasks with verifiable completion that mint XP and (optionally) KEEPER. Level follows the canonical 2021 formula: level = (XP + 500) / 300. Level gates eligibility for higher-tier governance under the weighted-vote formula in the 20","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0034-zoo-xp-quests/"},{"kind":"zip","id":"ZIP-42","title":"Cross-Ecosystem Interoperability Standard","summary":"ZIP-042 establishes a unified standard for interoperability between Zoo, Lux, and Hanzo ecosystems, enabling seamless value transfer, data exchange, and service integration across all three platforms.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0042-cross-ecosystem-interoperability-standard/"},{"kind":"zip","id":"ZIP-100","title":"Zoo Contract Registry","summary":"This ZIP provides a comprehensive registry of all deployed contracts, token addresses, governance infrastructure, and DeFi protocols across the Zoo ecosystem. It serves as the canonical reference for Zoo mainnet (200200), Zoo testnet, and cross-chain bridge integrations.","topic":"Standards Track","status":"Active","url":"https://zips.zoo.ngo/docs/zip-0100-zoo-contract-registry/"},{"kind":"zip","id":"ZIP-101","title":"Conservation Bond Protocol","summary":"This ZIP specifies an on-chain conservation bond protocol that channels yield from tokenized vault positions into wildlife conservation projects managed by the Zoo Labs Foundation. Conservation bonds are ERC-20 tokens representing a fixed-term capital commitment. Principal is deposited into LP-5626-compliant vaults, and the yield generated over the bond term is irrevocably directed to verified conservation outcomes. ","topic":"DeFi","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0101-conservation-bond-protocol/"},{"kind":"zip","id":"ZIP-102","title":"Impact Yield Vaults","summary":"This ZIP defines Impact Yield Vaults -- LP-5626 (ERC-4626) compliant tokenized vaults that split generated yield between depositors and conservation DAOs according to a configurable impact ratio. Unlike ZIP-101 conservation bonds where 100% of yield goes to conservation, Impact Yield Vaults allow depositors to earn competitive returns while automatically directing a portion of profits to wildlife protection and DeSci","topic":"DeFi","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0102-impact-yield-vaults/"},{"kind":"zip","id":"ZIP-103","title":"Green Staking Mechanism","summary":"This ZIP defines a Green Staking Mechanism for the Zoo L2 chain that extends traditional proof-of-stake economics with a Proof of Impact (PoI) layer. Stakers lock ZOO tokens and, in addition to standard staking rewards, receive bonus yield proportional to verified conservation outcomes they sponsor. Conservation outcomes are measured per ZIP-501 standards and attested on-chain by a decentralized network of impact ver","topic":"DeFi","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0103-green-staking-mechanism/"},{"kind":"zip","id":"ZIP-104","title":"Research Funding DAO Treasury","summary":"This ZIP specifies a DAO treasury protocol purpose-built for funding decentralized science (DeSci) research proposals within the Zoo ecosystem. The protocol manages a multi-asset treasury, accepts research proposals through a structured on-chain submission and review process, disburses grants in milestone-based tranches, and enforces accountability through clawback mechanisms. It integrates with ZooGovernor for votin","topic":"DeFi","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0104-research-funding-dao-treasury/"},{"kind":"zip","id":"ZIP-105","title":"Carbon Credit DEX","summary":"This ZIP specifies a decentralized exchange (DEX) optimized for trading tokenized carbon credits on the Zoo L2 chain. The exchange extends the LP-9000 DEX architecture with carbon-specific features: credit vintage tracking, retirement permanence, registry bridging, and a Hamiltonian Market Maker (HIP-0008) curve tuned for illiquid environmental assets. Tokenized credits from major registries (Verra VCS, Gold Standard","topic":"DeFi","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0105-carbon-credit-dex/"},{"kind":"zip","id":"ZIP-106","title":"Automated Market Maker for Conservation","summary":"This ZIP specifies a constant-product automated market maker (AMM) with a built-in conservation fee layer. Every swap executed through the Zoo AMM splits the trading fee into two components: a liquidity provider reward and a conservation allocation routed to verified programs registered under ZIP-500. The AMM extends the Uniswap V2 invariant (x y = k) with a configurable conservationBps parameter per pool, ensuring t","topic":"DeFi","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0106-automated-market-maker-for-conservation/"},{"kind":"zip","id":"ZIP-107","title":"Impact Lending Protocol","summary":"This ZIP defines an overcollateralized lending protocol where borrowers who post conservation-linked collateral (conservation bonds, impact attestations, carbon credits) receive reduced collateral requirements and preferential interest rates. The protocol uses a dual-rate model: a base rate determined by utilization and an impact discount proportional to the verified conservation value of the borrower's collateral po","topic":"DeFi","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0107-impact-lending-protocol/"},{"kind":"zip","id":"ZIP-108","title":"Carbon Offset Tokenization","summary":"This ZIP defines a standard for tokenizing verified carbon offsets as ZRC-20 fungible tokens on the Zoo L2 chain. Each token represents one metric tonne of CO2 equivalent (tCO2e) retired from a verified carbon registry (Verra VCS, Gold Standard, or equivalent). The protocol establishes a bridge between off-chain carbon registries and on-chain token issuance, with mandatory verification by DAO-approved oracles before ","topic":"DeFi","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0108-carbon-offset-tokenization/"},{"kind":"zip","id":"ZIP-109","title":"Wildlife Insurance Protocol","summary":"This ZIP specifies a parametric insurance protocol that provides financial protection to conservation projects against adverse environmental events. Unlike traditional insurance that requires claims adjustment, parametric policies pay out automatically when pre-defined trigger conditions are met, as verified by on-chain oracles. Triggers include deforestation rate thresholds, temperature anomalies, poaching incident ","topic":"DeFi","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0109-wildlife-insurance-protocol/"},{"kind":"zip","id":"ZIP-110","title":"Conservation DAO Treasury Yield","summary":"This ZIP defines an automated treasury management protocol for Zoo conservation DAOs. The protocol deploys idle treasury capital across Zoo DeFi primitives -- yield vaults (ZIP-102), conservation bonds (ZIP-101), AMM liquidity (ZIP-106), and lending pools (ZIP-107) -- subject to risk constraints and a mandatory conservation allocation floor. A rules engine enforced on-chain ensures that at least a configurable percen","topic":"DeFi","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0110-conservation-dao-treasury-yield/"},{"kind":"zip","id":"ZIP-111","title":"Impact Perpetuals Market","summary":"This ZIP specifies a perpetual futures exchange for conservation outcome indices. Traders can take long or short positions on standardized indices that track measurable conservation metrics: species population trends, deforestation rates, ocean health scores, and carbon sequestration rates. Perpetuals use a funding rate mechanism to keep the mark price aligned with the index value. A fraction of all trading fees is d","topic":"DeFi","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0111-impact-perpetuals-market/"},{"kind":"zip","id":"ZIP-112","title":"Micro-Donation Streaming","summary":"This ZIP defines a money streaming protocol that enables continuous, per-second token flow from donors to conservation projects. Rather than discrete one-time donations, supporters create streams that transfer ZUSD or ZOO tokens at a configurable rate (e.g., 1 ZUSD/day) to verified conservation recipients. Streams are non-custodial: tokens flow directly from the donor's balance in real-time, claimable by the recipien","topic":"DeFi","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0112-micro-donation-streaming/"},{"kind":"zip","id":"ZIP-113","title":"Habitat Restoration Bonds","summary":"This ZIP defines outcome-based bonds where investor returns are tied to verified ecological recovery metrics. Unlike conservation bonds (ZIP-101) which generate yield from DeFi vaults, habitat restoration bonds (HRBs) generate returns from outcome payments made by outcome funders (governments, NGOs, philanthropies) when pre-defined habitat restoration milestones are achieved. The protocol tokenizes the \"pay-for-succe","topic":"DeFi","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0113-habitat-restoration-bonds/"},{"kind":"zip","id":"ZIP-200","title":"ZRC-721: Wildlife NFT Standard","summary":"This proposal defines ZRC-721, the canonical non-fungible token standard for the Zoo ecosystem. ZRC-721 extends the LRC-721 interface (LP-3721) with mandatory species metadata, on-chain provenance tracking, and an automatic conservation funding mechanism. Every ZRC-721 token carries a structured SpeciesRecord identifying the biological subject, a tamper-evident ProvenanceChain recording custody and observation histor","topic":"NFT","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0200-zrc-721-wildlife-nft-standard/"},{"kind":"zip","id":"ZIP-201","title":"Species Adoption Certificate Protocol","summary":"This proposal defines the Species Adoption Certificate Protocol (SACP), a system of on-chain NFTs that represent verifiable sponsorship of individual wild animals. Each Adoption Certificate is a ZRC-721 token (ZIP-200) whose metadata updates dynamically as the sponsored animal's real-world status changes. The protocol connects NFT holders to conservation organizations via the Zoo Conservation Registry (ZIP-500/ZIP-55","topic":"NFT","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0201-species-adoption-certificate-protocol/"},{"kind":"zip","id":"ZIP-202","title":"Conservation Badge Standard","summary":"This proposal defines the Zoo Conservation Badge Standard, a soulbound token (SBT) framework for issuing non-transferable, on-chain proof of conservation achievements and impact milestones. Badges are permanently bound to a holder's address and cannot be transferred, sold, or burned by the holder. They serve as verifiable credentials attesting to specific conservation actions -- species adoptions, habitat funding, re","topic":"NFT","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0202-conservation-badge-standard/"},{"kind":"zip","id":"ZIP-203","title":"Habitat NFT Fractional Ownership","summary":"This proposal defines a fractional ownership standard for habitat conservation NFTs on the Zoo ecosystem. Each habitat NFT represents a real-world protected area (wildlife corridor, marine reserve, forest parcel). Fractional ownership divides a single habitat NFT into fungible shares using the ERC-3525 semi-fungible token pattern, enabling communities to collectively fund, govern, and benefit from conservation areas.","topic":"NFT","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0203-habitat-nft-fractional-ownership/"},{"kind":"zip","id":"ZIP-204","title":"Dynamic Metadata for Living NFTs","summary":"This proposal defines the Living NFT standard -- NFTs whose metadata evolves in response to real-world conservation data. Unlike static NFTs that represent a fixed snapshot, Living NFTs continuously reflect the current health, population, and habitat status of the species or ecosystem they represent. Oracle feeds from conservation sensors, satellite imagery, and field reports update on-chain health scores. An AI visu","topic":"NFT","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0204-dynamic-metadata-living-nfts/"},{"kind":"zip","id":"ZIP-205","title":"Wildlife Photography NFT Standard","summary":"This ZIP defines a standard for minting verified wildlife photography as NFTs with embedded GPS coordinates, camera hardware attestation, timestamp verification, and species identification metadata. The standard extends ZRC-721 (ZIP-200) with a PhotographyRecord struct that captures the full provenance chain from camera sensor to blockchain. A verification pipeline using Zoo AI (ZIP-401) performs automated species id","topic":"NFT","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0205-wildlife-photography-nft-standard/"},{"kind":"zip","id":"ZIP-206","title":"NFT Conservation Royalties","summary":"This ZIP defines an enforceable royalty standard for Zoo NFTs that mandates a minimum conservation allocation on every secondary sale. Unlike EIP-2981 which is advisory and easily bypassed, this standard enforces royalty collection at the transfer level by integrating with the Zoo marketplace contracts and implementing transfer hooks that escrow the conservation share before completing any sale. The standard supports","topic":"NFT","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0206-nft-conservation-royalties/"},{"kind":"zip","id":"ZIP-207","title":"Breeding Simulation NFT","summary":"This ZIP defines a breeding mechanic for ZRC-721 wildlife NFTs that simulates genetic inheritance for educational purposes. Two parent NFTs of compatible species can produce offspring with traits derived from a simplified Mendelian genetics model. The system teaches users about genetic diversity, endangered species breeding programs, and conservation genetics while generating new NFTs whose minting fees fund real-wor","topic":"NFT","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0207-breeding-simulation-nft/"},{"kind":"zip","id":"ZIP-208","title":"Endangered Species Collection","summary":"This ZIP defines a curated NFT collection where each token represents a species listed on the IUCN Red List as Vulnerable (VU), Endangered (EN), Critically Endangered (CR), or Extinct in the Wild (EW). The collection implements dynamic metadata (ZIP-204) that updates in real-time to reflect the species' current conservation status, population estimates, and habitat range changes. A fixed supply of tokens is minted pe","topic":"NFT","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0208-endangered-species-collection/"},{"kind":"zip","id":"ZIP-209","title":"NFT-Backed Microhabitat","summary":"This ZIP defines an NFT standard where each token represents the sponsorship of a real-world microhabitat -- a defined geographic area (0.1 to 10 hectares) within a conservation reserve. The NFT carries GPS boundary coordinates, ecological baseline data, and links to a live monitoring feed powered by camera traps, acoustic sensors, and satellite imagery. Sponsors do not own the land; they fund its protection and rest","topic":"NFT","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0209-nft-backed-microhabitat/"},{"kind":"zip","id":"ZIP-210","title":"Cross-Collection Composability","summary":"This ZIP defines a composability standard for Zoo NFTs that enables tokens from different collections to be combined, layered, and interact with each other. A wildlife photography NFT (ZIP-205) can be placed inside a microhabitat NFT (ZIP-209), a breeding simulation offspring (ZIP-207) can wear an accessory from a conservation badge collection (ZIP-202), and an endangered species NFT (ZIP-208) can be bundled with a c","topic":"NFT","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0210-cross-collection-composability/"},{"kind":"zip","id":"ZIP-300","title":"Virtual Habitat Simulation Protocol","summary":"This proposal defines a standard protocol for creating, running, and verifying virtual wildlife habitat simulations within the Zoo gaming ecosystem. Each simulation is a digital twin of a real-world ecosystem, driven by AI population dynamics, weather modeling, and migration pattern engines. Simulation state is periodically checkpointed on-chain via LP-7000 attestation, producing a verifiable, auditable record of eco","topic":"Gaming","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0300-virtual-habitat-simulation-protocol/"},{"kind":"zip","id":"ZIP-301","title":"Play-to-Conserve Game Mechanics","summary":"This proposal defines a game mechanics standard in which player actions within Zoo ecosystem games generate real-world conservation funding. Unlike conventional play-to-earn models that extract value through inflationary token emissions, Play-to-Conserve (P2C) channels a defined percentage of all in-game economic activity into auditable conservation pools. Token rewards to players are tied to verified educational out","topic":"Gaming","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0301-play-to-conserve-game-mechanics/"},{"kind":"zip","id":"ZIP-302","title":"AI Wildlife Behavior Engine","summary":"This proposal specifies an AI engine for generating realistic, species-accurate wildlife behavior in games and simulations within the Zoo ecosystem. The engine is trained on real-world camera trap footage using computer vision pipelines (HIP-0081), incorporates published ethological research for each species, and improves continuously through federated learning across multiple game instances. Behavior models are para","topic":"Gaming","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0302-ai-wildlife-behavior-engine/"},{"kind":"zip","id":"ZIP-303","title":"Multiplayer Conservation Game Protocol","summary":"This proposal defines a peer-to-peer multiplayer protocol for conservation games within the Zoo ecosystem. The protocol provides deterministic state synchronization, session discovery, and anti-cheat verification without relying on centralized game servers. Players connect via a libp2p-based overlay network, exchange game state using a delta-compressed CRDT model, and anchor session outcomes on-chain for reward eligi","topic":"Gaming","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0303-multiplayer-conservation-game-protocol/"},{"kind":"zip","id":"ZIP-304","title":"Game Asset Interoperability","summary":"This proposal defines a standard for portable game assets across all Zoo ecosystem games. Assets (creatures, equipment, habitats, cosmetics) are represented as ZRC-721 tokens (ZIP-200) with an extended metadata schema that includes rendering hints, behavioral attributes, and game-specific adaptation rules. Any Zoo game that implements this standard can import, display, and utilize assets minted by any other compliant","topic":"Gaming","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0304-game-asset-interoperability/"},{"kind":"zip","id":"ZIP-305","title":"Leaderboard Oracle","summary":"This proposal defines an on-chain leaderboard oracle that aggregates conservation gaming achievement scores across all Zoo ecosystem games into a unified, tamper-proof ranking system. The oracle collects session results from ZIP-303 multiplayer sessions and ZIP-301 Play-to-Conserve transactions, computes composite scores weighted by conservation impact, and publishes ranked leaderboards on-chain. Scores are verifiabl","topic":"Gaming","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0305-leaderboard-oracle/"},{"kind":"zip","id":"ZIP-306","title":"Virtual Sanctuary Governance","summary":"This proposal defines a DAO governance framework for virtual wildlife sanctuaries within Zoo ecosystem games. A virtual sanctuary is a persistent, player-managed game environment linked to a real-world conservation project. Sanctuary stakeholders (players who hold fractional habitat NFTs per ZIP-203) collectively govern the sanctuary through on-chain proposals and voting: which species to introduce, how to allocate c","topic":"Gaming","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0306-virtual-sanctuary-governance/"},{"kind":"zip","id":"ZIP-400","title":"Conversational AI for Conservation","summary":"This proposal defines the architecture for a conversational AI system designed for wildlife conservation engagement. Conceived in October 2021 -- over a year before the public release of ChatGPT -- the system provides a natural-language interface where each Zoo animal NFT has a distinct AI personality capable of educating users about its species, habitat, and conservation status. The architecture establishes the foun","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0400-conversational-ai-for-conservation/"},{"kind":"zip","id":"ZIP-401","title":"Persistent Semantic Memory","summary":"This proposal specifies the Experience Ledger, a persistent semantic memory system that enables AI agents to accumulate knowledge across interactions, sessions, and time. Unlike stateless chatbots that forget everything between conversations, the Experience Ledger provides agents with a growing, structured memory of every interaction, observation, and learned fact. This concept, articulated in the October 2021 whitep","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0401-persistent-semantic-memory/"},{"kind":"zip","id":"ZIP-402","title":"AI-Augmented NFTs","summary":"This proposal defines the standard for binding AI agents to NFT tokens, creating \"living\" digital assets that can think, speak, learn, and evolve. Each Zoo animal NFT contains not just static art and metadata but an active AI agent with species-specific knowledge, a unique personality, persistent memory (ZIP-0401), and the ability to interact with its owner and other agents. This concept, first described in the Octob","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0402-ai-augmented-nfts/"},{"kind":"zip","id":"ZIP-403","title":"On-Chain AI Identity","summary":"This proposal establishes a framework for AI agents as first-class citizens on blockchain networks. Rather than treating AI as a backend service that humans invoke, this ZIP defines how AI agents can have verifiable on-chain identities, own assets, participate in governance, enter into agreements, and interact autonomously with other agents and humans. The concept traces to the October 2021 whitepaper's vision of Zoo","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0403-on-chain-ai-identity/"},{"kind":"zip","id":"ZIP-404","title":"Content-Addressable Semantic Memory System","summary":"This proposal extends the Experience Ledger (ZIP-0401) with content-addressable storage, where every piece of semantic knowledge is identified by its cryptographic hash rather than by location. This enables deduplication across agents (if two agents learn the same fact, it is stored once), verifiable provenance (the hash chain proves when knowledge was acquired and from what source), and efficient distributed retriev","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0404-content-addressable-semantic-memory/"},{"kind":"zip","id":"ZIP-405","title":"Conservation-Aware Language Models","summary":"This proposal defines the methodology for creating language models with deep conservation domain expertise. Rather than relying on general-purpose models that treat conservation as one of many topics, this ZIP specifies how to build models that understand species taxonomy, ecological relationships, conservation status, habitat dynamics, and threat assessment at an expert level. The approach combines curated conservat","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0405-conservation-aware-language-models/"},{"kind":"zip","id":"ZIP-406","title":"Multi-Modal Conservation AI","summary":"This proposal defines a unified multimodal AI architecture for conservation that processes camera trap images, satellite imagery, acoustic recordings, and text-based field reports through a single model. Rather than maintaining separate specialized models for each modality, this ZIP specifies how a single architecture can identify species from photographs, detect deforestation from satellite data, classify bird calls","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0406-multimodal-conservation-ai/"},{"kind":"zip","id":"ZIP-407","title":"Decentralized AI Training Architecture","summary":"This proposal defines the architecture for training AI models across a decentralized network of heterogeneous compute nodes. Rather than requiring a single datacenter with thousands of homogeneous GPUs, this system enables conservation organizations, universities, and individual contributors to pool their compute resources for collaborative model training. The architecture handles node heterogeneity (different GPU ty","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0407-decentralized-ai-training-architecture/"},{"kind":"zip","id":"ZIP-408","title":"Unified Multimodal Architecture (Jin)","summary":"This proposal specifies Jin, a unified multimodal AI architecture that processes vision, language, audio, and 3D data through a single transformer backbone. Unlike pipeline approaches that chain separate vision and language models, Jin uses modality-specific encoders feeding into a shared cross-attention transformer that reasons natively across all modalities simultaneously. Jin is the architectural foundation for th","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0408-unified-multimodal-architecture/"},{"kind":"zip","id":"ZIP-409","title":"Active Semantic Optimization (ASO)","summary":"This proposal specifies the Active Semantic Optimization (ASO) protocol, a framework for continuous model improvement that combines active learning, semantic feedback loops, and human-in-the-loop optimization. ASO enables models to identify their own knowledge gaps, actively seek the most informative training signals, and incorporate human expert feedback in a sample-efficient manner. ASO is the centralized counterpa","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0409-active-semantic-optimization/"},{"kind":"zip","id":"ZIP-410","title":"Decentralized Semantic Optimization (DSO)","summary":"This proposal specifies the Decentralized Semantic Optimization (DSO) protocol, the distributed counterpart to ASO (ZIP-0409). DSO enables geographically dispersed nodes to collaboratively improve shared AI models by exchanging semantic gradients -- compressed, privacy-protected representations of local learning signals -- rather than raw data or full parameter updates. The protocol guarantees differential privacy at","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0410-decentralized-semantic-optimization/"},{"kind":"zip","id":"ZIP-411","title":"AI-Powered Search with RAG","summary":"This proposal defines the Retrieval-Augmented Generation (RAG) architecture for grounding AI responses in authoritative, up-to-date knowledge. Rather than relying solely on parametric knowledge (what the model learned during training), RAG retrieves relevant documents from a curated knowledge base at inference time and includes them in the model's context window. This ensures factual accuracy for conservation data, s","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0411-ai-powered-search-with-rag/"},{"kind":"zip","id":"ZIP-412","title":"MCP Server Architecture","summary":"This proposal defines the architecture for Hanzo's Model Context Protocol (MCP) server infrastructure, providing 260+ tools that AI models can invoke to interact with code, data, web services, and infrastructure. MCP transforms language models from passive text generators into active agents capable of reading files, executing code, querying databases, browsing the web, managing containers, and orchestrating complex m","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0412-mcp-server-architecture/"},{"kind":"zip","id":"ZIP-413","title":"Foundation Language Model Architecture (Zen Base)","summary":"This proposal specifies the architecture of the Zen Base foundation language model family, the core LLM powering all Hanzo and Zoo AI systems. Zen Base models range from 600M to 480B parameters, use dense transformer architecture with grouped-query attention (GQA), RoPE positional encoding, SwiGLU activations, and RMSNorm normalization. The family provides the foundation upon which all specialized Zen models (Code, V","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0413-foundation-language-model-architecture/"},{"kind":"zip","id":"ZIP-414","title":"Mixture of Distilled Experts (MoDE)","summary":"This proposal specifies the Zen MoDE (Mixture of Diverse Experts) architecture, a sparse mixture-of-experts approach where each expert is a distilled specialist trained on a specific domain (code, math, language, vision, reasoning). Unlike standard MoE that uses identical expert architectures with different weights, MoDE uses diverse expert architectures -- each optimized for its domain -- with a learned router that ","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0414-mixture-of-distilled-experts/"},{"kind":"zip","id":"ZIP-415","title":"Code Intelligence at Scale (Zen-Code)","summary":"This proposal specifies Zen-Code, the code-specialized variant of the Zen model family. Zen-Code models are continued from Zen Base (ZIP-0413) with additional pre-training on 1T+ tokens of curated source code spanning 100+ programming languages, followed by instruction tuning on code generation, analysis, refactoring, and debugging tasks. Zen-Code models power the code intelligence features in Hanzo Chat, MCP code to","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0415-code-intelligence-at-scale/"},{"kind":"zip","id":"ZIP-416","title":"Vision-Language Models (Zen-VL)","summary":"This proposal specifies Zen-VL, the vision-language variant of the Zen model family. Zen-VL extends the Zen Base language model (ZIP-0413) with a vision encoder that enables native understanding of images, charts, diagrams, documents, screenshots, and video frames alongside text. The model uses the Jin unified architecture (ZIP-0408) where visual tokens are interleaved with text tokens in a single attention pass, ena","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0416-vision-language-models/"},{"kind":"zip","id":"ZIP-417","title":"Real-Time Conversational AI (Zen-Live)","summary":"This proposal specifies Zen-Live, the real-time conversational variant of the Zen model family. Zen-Live enables sub-200ms latency voice conversations with AI agents, live video understanding (e.g., pointing a camera at a bird and asking \"what species is this?\"), and interactive tutoring sessions. The model uses speculative decoding, streaming output, and an optimized audio codec to achieve real-time performance whil","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0417-realtime-conversational-ai/"},{"kind":"zip","id":"ZIP-418","title":"Hamiltonian Large Language Models (HLLM)","summary":"This proposal specifies the Hamiltonian Large Language Model (HLLM) architecture, which applies principles from Hamiltonian mechanics to LLM training and inference. By treating the model's hidden states as particles in a Hamiltonian system with conserved energy, HLLM achieves more stable training dynamics (no loss spikes), more interpretable intermediate representations (energy landscape provides geometric intuition)","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0418-hamiltonian-large-language-models/"},{"kind":"zip","id":"ZIP-419","title":"Proof of AI Consensus (PoAI)","summary":"This proposal specifies the Proof of AI (PoAI) consensus mechanism, where blockchain validators earn block rewards by proving they performed useful AI work -- model training, inference serving, or verification -- rather than solving arbitrary cryptographic puzzles (PoW) or merely staking tokens (PoS). PoAI turns the security budget of the blockchain into productive AI compute, creating a self-reinforcing cycle: more ","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0419-proof-of-ai-consensus/"},{"kind":"zip","id":"ZIP-420","title":"7680-Dimensional Embeddings (Zen-Reranker)","summary":"This proposal specifies the Zen-Reranker embedding model, a 7680-dimensional embedding system optimized for semantic search, document retrieval, and cross-modal similarity. The unusually high dimensionality (compared to standard 768 or 1536-dimensional embeddings) provides superior separation of fine-grained semantic distinctions -- critical for conservation applications where the difference between closely related s","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0420-7680-dimensional-embeddings/"},{"kind":"zip","id":"ZIP-421","title":"Training-Free Preference Optimization (GRPO)","summary":"This proposal specifies Group Relative Policy Optimization (GRPO), a preference alignment method that achieves the quality of RLHF without training a separate reward model. GRPO generates multiple candidate responses for each prompt, uses the model's own internal evaluation to rank them, and optimizes the policy to prefer higher-ranked candidates. Combined with HLLM training dynamics (ZIP-0418), GRPO achieves 99.8% c","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0421-training-free-preference-optimization/"},{"kind":"zip","id":"ZIP-422","title":"Computer Use Framework (Operative)","summary":"This proposal specifies Operative, a framework that enables AI agents to use computers the way humans do: by observing screen contents (screenshots, DOM trees), deciding on actions (click, type, scroll, navigate), and executing them through programmatic control of mouse, keyboard, and browser. Operative bridges the gap between AI tool use (ZIP-0412) and the millions of GUI-based applications that have no API.","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0422-computer-use-framework/"},{"kind":"zip","id":"ZIP-423","title":"Privacy-Preserving AI Training (FHE)","summary":"This proposal specifies the application of Fully Homomorphic Encryption (FHE) to AI model training and inference, enabling computation on encrypted data without ever decrypting it. For conservation applications, this means sensitive wildlife data (endangered species locations, anti-poaching patrol routes, genetic samples) can be used to improve AI models while remaining encrypted throughout the entire pipeline -- fro","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0423-privacy-preserving-ai-training/"},{"kind":"zip","id":"ZIP-424","title":"Federated Wildlife Monitoring","summary":"This proposal specifies a federated learning system for wildlife monitoring that trains species identification, population estimation, and threat detection models across a distributed network of conservation field stations, national parks, and research institutions. Each node trains on its local camera trap images, acoustic recordings, and satellite data without sharing raw data, using the DSO protocol (ZIP-0410) for","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0424-federated-wildlife-monitoring/"},{"kind":"zip","id":"ZIP-425","title":"Satellite Ecological Monitoring","summary":"This proposal specifies an AI-powered satellite imagery analysis system for ecological monitoring at global scale. The system processes imagery from Sentinel-2, Landsat, and commercial satellite providers through Zen-VL models (ZIP-0416) to detect deforestation, monitor habitat fragmentation, track water body changes, assess vegetation health, and estimate carbon stock. Results are integrated into the content-address","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0425-satellite-ecological-monitoring/"},{"kind":"zip","id":"ZIP-426","title":"1M Token Context Extension","summary":"This proposal specifies the methodology for extending Zen model context windows from 128K to 1 million tokens using YaRN (Yet another RoPE extensioN) scaling combined with attention optimization techniques. A 1M token context enables processing entire codebases, complete research paper collections, full species databases, and extensive conversation histories in a single inference pass -- critical for the Experience L","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0426-1m-token-context-extension/"},{"kind":"zip","id":"ZIP-427","title":"BitDelta Model Compression","summary":"This proposal specifies BitDelta, a model compression technique that represents fine-tuned model variants as 1-bit deltas from a shared base model. Instead of storing full model weights for each specialized variant (conservation, code, medical, etc.), BitDelta stores only the binary differences (sign of weight change), achieving 99% compression. This enables efficient distribution of thousands of specialized model va","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0427-bitdelta-model-compression/"},{"kind":"zip","id":"ZIP-428","title":"Knowledge Distillation Pipeline","summary":"This proposal specifies the knowledge distillation pipeline used to create smaller Zen model variants (Nano, Mini) from larger teacher models (Pro, Max, Ultra). The pipeline preserves domain expertise through progressive distillation, where each stage transfers specific knowledge types (factual, reasoning, coding, conservation) with targeted loss functions. This enables deployment of high-quality Zen models on edge d","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0428-knowledge-distillation-pipeline/"},{"kind":"zip","id":"ZIP-429","title":"Multilingual 100+ Language Coverage","summary":"This proposal specifies the multilingual strategy for the Zen model family, covering 100+ languages with particular emphasis on languages spoken in biodiversity hotspot regions. Conservation is a global effort, and the AI assistants envisioned in the whitepaper (ZIP-0400) must communicate with communities in their native languages -- including low-resource languages like Malay, Quechua, Swahili, and Bahasa Indonesia ","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0429-multilingual-100-language-coverage/"},{"kind":"zip","id":"ZIP-430","title":"AI Safety Framework (Zen-Guard)","summary":"This proposal specifies Zen-Guard, a comprehensive AI safety framework providing content filtering, guardrails, jailbreak prevention, and domain-specific safety constraints for all Zen models. Zen-Guard operates as both a standalone classifier model and a set of runtime constraints integrated into the Hanzo LLM Gateway. For conservation applications, Zen-Guard includes species-specific safety rules (never reveal enda","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0430-ai-safety-framework/"},{"kind":"zip","id":"ZIP-431","title":"Neural Machine Translation (Zen-Translator)","summary":"This proposal specifies Zen-Translator, a neural machine translation system that provides high-quality translation across 100+ languages with conservation domain specialization. Beyond text translation, Zen-Translator powers Zen-Dub (audio dubbing) and Zen-Dub-Live (real-time interpretation), enabling conservation content to reach global audiences in their native language. The system maintains conservation-specific t","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0431-neural-machine-translation/"},{"kind":"zip","id":"ZIP-432","title":"Sovereign AI Memory","summary":"This proposal specifies a user-sovereign AI memory system where all knowledge accumulated by AI agents is owned and controlled by the user, stored locally first with optional encrypted cloud backup, and fully portable between platforms and providers. When a user switches from one AI service to another, their agent's complete memory (conversation history, learned preferences, accumulated knowledge) transfers with them","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0432-sovereign-ai-memory/"},{"kind":"zip","id":"ZIP-433","title":"Spatial Web Active Inference","summary":"This proposal specifies a framework for AI agents that operate in spatial environments -- augmented reality, virtual reality, and the physical world -- using active inference for navigation, interaction, and decision-making. The whitepaper (Sections 09 and 12) envisioned an AR application where Zoo animal companions exist in the user's physical environment and metaverse companions that inhabit virtual worlds. This ZI","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0433-spatial-web-active-inference/"},{"kind":"zip","id":"ZIP-434","title":"Decentralized Training Infrastructure","summary":"This proposal specifies Zoo Gym, the production infrastructure that unifies all previously-specified decentralized training components -- DSO (ZIP-0410), PoAI (ZIP-0419), federated learning (ZIP-0424), and GRPO (ZIP-0421) -- into a single, deployable training platform. Zoo Gym is the \"gym\" where AI models train: a decentralized network of compute nodes that collaboratively improve Zen models, earn ZOO token rewards, ","topic":"AI","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0434-decentralized-training-infrastructure/"},{"kind":"zip","id":"ZIP-500","title":"ESG Principles for Conservation Impact","summary":"This ZIP establishes the foundational ESG framework for Zoo Labs Foundation, a 501(c)(3) non-profit dedicated to wildlife conservation through decentralized technology. As a mission-driven organization, our ESG commitments are not ancillary—they are core to our existence. This document defines our conservation impact model, ethical partnerships policy, and transparency commitments. All related ZIPs reference this as ","topic":"Meta","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0500-esg-principles-conservation-impact/"},{"kind":"zip","id":"ZIP-501","title":"Conservation Impact Measurement","summary":"This ZIP establishes the methodology for measuring, tracking, and reporting the conservation impact of Zoo Labs Foundation initiatives. It defines metrics, data collection protocols, and reporting standards aligned with IUCN, IRIS+, and scientific conservation practice.","topic":"Meta","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0501-conservation-impact-measurement/"},{"kind":"zip","id":"ZIP-502","title":"Wildlife Corridor Mapping","summary":"This proposal defines a blockchain-verified data standard for recording, sharing, and validating wildlife corridor geospatial data. Wildlife corridors -- the routes animals use to move between habitat patches -- are critical for species survival but poorly mapped. This standard specifies a schema for corridor data that combines GPS tracking, satellite imagery, camera trap sightings, and community observations into a ","topic":"Wildlife","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0502-wildlife-corridor-mapping/"},{"kind":"zip","id":"ZIP-503","title":"Anti-Poaching Alert Network","summary":"This proposal defines a decentralized alert network for real-time poaching detection and coordinated response. The network connects sensor nodes (camera traps, acoustic monitors, drone patrols, satellite feeds), AI detection models (ZIP-401, ZIP-409), conservation agents (ZIP-405 SentinelAgent), and field ranger teams into a unified alert pipeline. Alerts propagate through a gossip protocol with priority-based routin","topic":"Wildlife","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0503-anti-poaching-alert-network/"},{"kind":"zip","id":"ZIP-504","title":"Marine Conservation Tracking","summary":"This proposal defines a standard for integrating IoT sensor networks with blockchain verification for marine species conservation. Marine environments present unique challenges: vast areas, limited connectivity, harsh conditions, and three-dimensional movement patterns. The standard specifies data schemas for underwater acoustic tags, satellite-linked buoys, autonomous underwater vehicles (AUVs), and shore-based moni","topic":"Wildlife","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0504-marine-conservation-tracking/"},{"kind":"zip","id":"ZIP-505","title":"Reforestation Verification","summary":"This proposal defines a protocol for satellite-verified, on-chain tracking of reforestation project progress. Reforestation is a cornerstone of habitat restoration, carbon sequestration, and wildlife corridor creation, but verification of claims is notoriously unreliable. This standard uses multi-temporal satellite imagery analysis (NDVI, canopy cover, biomass estimation) combined with ground-truth sampling and commu","topic":"Wildlife","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0505-reforestation-verification/"},{"kind":"zip","id":"ZIP-510","title":"Species Protection & Monitoring","summary":"This ZIP establishes the framework for Zoo Labs Foundation's species protection and monitoring initiatives. It defines priority-setting criteria, monitoring methodologies, technology deployment standards, and success metrics for species-focused conservation work.","topic":"Meta","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0510-species-protection-monitoring/"},{"kind":"zip","id":"ZIP-520","title":"Habitat Conservation","summary":"This ZIP establishes the framework for Zoo Labs Foundation's habitat conservation and restoration initiatives. It defines site selection criteria, monitoring approaches, technology applications, and success metrics for landscape-level conservation.","topic":"Meta","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0520-habitat-conservation/"},{"kind":"zip","id":"ZIP-530","title":"Community Partnerships & FPIC","summary":"This ZIP establishes the framework for ethical partnerships with local and Indigenous communities in Zoo Labs Foundation conservation initiatives. It defines requirements for Free, Prior, and Informed Consent (FPIC), benefit sharing, and respectful engagement aligned with CARE Principles and UN Declaration on the Rights of Indigenous Peoples.","topic":"Meta","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0530-community-partnerships-fpic/"},{"kind":"zip","id":"ZIP-540","title":"Research Ethics & Data Governance","summary":"This ZIP establishes the framework for ethical research practices and responsible data governance in Zoo Labs Foundation conservation initiatives. It defines ethical review processes, data management standards, publication ethics, and technology deployment principles.","topic":"Meta","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0540-research-ethics-data-governance/"},{"kind":"zip","id":"ZIP-550","title":"Conservation Standards Alignment Matrix","summary":"This ZIP provides a comprehensive mapping between Zoo Labs Foundation's conservation impact framework (ZIP-500) and global standards including conservation science metrics, impact measurement frameworks, non-profit governance standards, and responsible AI principles. This matrix enables funders, partners, and auditors to verify our alignment with established frameworks.","topic":"Meta","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0550-conservation-standards-alignment/"},{"kind":"zip","id":"ZIP-560","title":"Evidence Locker Index","summary":"This ZIP serves as the centralized index for all conservation impact and governance evidence artifacts maintained by Zoo Labs Foundation. It catalogs policies, impact reports, conservation data, community agreements, and attestations that support claims made in ZIP-500 and related proposals. This is the \"credibility engine\" that makes our conservation impact verifiable.","topic":"Meta","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0560-evidence-locker-index/"},{"kind":"zip","id":"ZIP-570","title":"Zoo Labs Impact Thesis","summary":"","topic":"Meta","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0570-zoo-labs-impact-thesis/"},{"kind":"zip","id":"ZIP-600","title":"DeSci Protocol Framework","summary":"This ZIP defines the foundational Decentralized Science (DeSci) protocol for the Zoo ecosystem. It establishes on-chain primitives for the full research lifecycle: proposal submission, peer review coordination, funding allocation, milestone tracking, data publication, and reproducibility verification. The protocol creates a permissionless, transparent, and incentive-aligned system for scientific research that preserv","topic":"Research","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0600-desci-protocol-framework/"},{"kind":"zip","id":"ZIP-601","title":"Open Biodiversity Database Standard","summary":"This ZIP specifies an open-access biodiversity database built on IPFS with on-chain indexing via the Zoo L2. The database stores species observations, genetic sequences, habitat survey data, and ecological metadata in standardized, machine-readable formats. It provides interoperability with the Global Biodiversity Information Facility (GBIF) through bidirectional data adapters and implements fine-grained access contr","topic":"Research","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0601-open-biodiversity-database-standard/"},{"kind":"zip","id":"ZIP-602","title":"Citizen Science Contribution Protocol","summary":"This ZIP defines a protocol for citizen scientists to contribute biodiversity observations and research data to the Zoo ecosystem. Contributions are cryptographically attested at the device level, validated through a multi-tier verification pipeline, and rewarded with ZOO tokens proportional to data quality and scientific value. The protocol implements sybil-resistant reputation using decentralized identifiers (DIDs)","topic":"Research","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0602-citizen-science-contribution-protocol/"},{"kind":"zip","id":"ZIP-603","title":"Research DAO Governance","summary":"This ZIP defines the governance framework for Zoo's Research DAO, a purpose-built decentralized autonomous organization for allocating research funding. The DAO uses quadratic voting to amplify the voice of individual community members over large token holders, milestone-based grant disbursement to ensure accountability, and an on-chain conflict of interest detection system to prevent self-dealing. The Research DAO o","topic":"Research","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0603-research-dao-governance/"},{"kind":"zip","id":"ZIP-604","title":"Decentralized Peer Review","summary":"This ZIP specifies a decentralized peer review protocol that preserves double-blind anonymity using zero-knowledge proofs while enabling on-chain reputation tracking, quality scoring, and economic incentives for reviewers. The protocol eliminates the conflicts inherent in journal-controlled peer review (where publishers profit from free reviewer labor) and replaces them with a transparent, incentive-aligned system. R","topic":"Research","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0604-decentralized-peer-review/"},{"kind":"zip","id":"ZIP-605","title":"Open Access Publication Protocol","summary":"This proposal defines a decentralized, open-access scientific publication protocol that eliminates publisher intermediaries. Authors submit manuscripts to a smart contract that manages the full publication lifecycle: submission, peer review (ZIP-604), revision, acceptance, and permanent archival. Published papers are stored on IPFS with on-chain provenance records, DOI-equivalent persistent identifiers, and citation ","topic":"Research","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0605-open-access-publication-protocol/"},{"kind":"zip","id":"ZIP-606","title":"Reproducibility Attestation","summary":"This proposal defines an on-chain attestation protocol for certifying that published scientific research results (ZIP-605) have been independently reproduced. Reproducing parties run the original analysis using the archived code and data, compare their outputs against the published results, and submit a reproducibility attestation recording the degree of agreement. Attestations are classified as \"fully reproduced,\" \"","topic":"Research","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0606-reproducibility-attestation/"},{"kind":"zip","id":"ZIP-700","title":"ZRC-20: Fungible Token Standard","summary":"This proposal defines ZRC-20, the canonical fungible token standard for the Zoo L2 chain (Chain ID: 200200). ZRC-20 is fully ERC-20 compatible and extends the Lux LRC-20 standard (LP-3020) with conservation-specific functionality: on-chain impact tracking, configurable auto-donation on transfers, and a burnable-for-conservation mechanism that retires tokens in exchange for verified conservation credits. ZRC-20 also i","topic":"ZRC","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0700-zrc-20-fungible-token-standard/"},{"kind":"zip","id":"ZIP-701","title":"ZRC-721: Non-Fungible Token Standard","summary":"This proposal defines ZRC-721, the non-fungible token standard for the Zoo L2 chain. ZRC-721 extends the Lux LRC-721 standard (LP-3721) and is fully ERC-721 compatible. It adds three conservation-specific features: structured species metadata following IUCN taxonomy, an immutable provenance chain recording the lifecycle of wildlife-related assets, and a royalty mechanism (EIP-2981) where secondary sale royalties are ","topic":"ZRC","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0701-zrc-721-nft-standard/"},{"kind":"zip","id":"ZIP-702","title":"ZRC-1155: Multi-Token Standard","summary":"This proposal defines ZRC-1155, the multi-token standard for the Zoo L2 chain. ZRC-1155 extends the Lux LRC-1155 standard (LP-2155) and is fully ERC-1155 compatible. It supports fungible, non-fungible, and semi-fungible tokens within a single contract, enabling gas-efficient batch operations for conservation badges, in-game wildlife items, research data bundles, and multi-asset conservation portfolios. The standard a","topic":"ZRC","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0702-zrc-1155-multi-token-standard/"},{"kind":"zip","id":"ZIP-703","title":"Token-Bound Accounts for Wildlife NFTs","summary":"This proposal defines the Zoo implementation of token-bound accounts (TBAs) for wildlife NFTs, based on the Lux LRC-6551 standard (LP-9551) and ERC-6551. Every ZRC-721 wildlife NFT receives a deterministic smart contract wallet that can hold ZRC-20 tokens, other NFTs, and ZRC-1155 badges. This enables wildlife NFTs to receive direct donations, accumulate conservation impact history, hold research data, and participat","topic":"ZRC","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0703-token-bound-accounts-for-wildlife/"},{"kind":"zip","id":"ZIP-800","title":"Zoo-Lux Bridge Protocol","summary":"This proposal defines the cross-chain bridge protocol between Zoo L2 (Chain ID: 200200) and Lux Network (C-Chain, X-Chain, B-Chain). The bridge is built on the Lux Teleport architecture (LP-6332) and secured by MPC (Multi-Party Computation) threshold signatures with a 2/3 supermajority requirement. It supports bridging of ZRC-20 fungible tokens, ZRC-721 wildlife NFTs (with metadata preservation), ZRC-1155 multi-token","topic":"ZRC","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0800-zoo-lux-bridge-protocol/"},{"kind":"zip","id":"ZIP-801","title":"Zoo-Hanzo Settlement Integration","summary":"This proposal defines the settlement integration between Zoo DeFi protocols and the Hanzo AI compute marketplace. It enables ZOO token holders to pay for AI inference, model training, and agent execution on Hanzo infrastructure, with settlement occurring on Lux Network as the shared finality layer. The protocol introduces a three-phase settlement flow: pre-authorization on Zoo L2, compute execution on Hanzo, and fina","topic":"ZRC","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0801-zoo-hanzo-settlement-integration/"},{"kind":"zip","id":"ZIP-802","title":"Zoo Omnichain Teleport Extension","summary":"This proposal extends the Zoo-Lux Bridge Protocol (ZIP-0800) to support omnichain conservation DeFi via the Lux Teleport architecture. The extension enables bridging from Zoo EVM (chain ID 200200) to any of 270+ supported destination chains, including native bridge programs on Solana, TON, and Cosmos. It introduces yield-bearing bridge tokens (yZETH, yZBTC) that generate conservation yield while in transit or held on","topic":"ZRC","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0802-omnichain-teleport/"},{"kind":"zip","id":"ZIP-803","title":"Encrypted Streaming Replication for Zoo Services","summary":"This proposal specifies end-to-end post-quantum encrypted streaming replication for two storage engines used across the Zoo ecosystem: 1. SQLite (WAL-based) — used by Base-powered services (IAM, KMS, marketplace, governance) 2. ZapDB (incremental backup) — used by high-throughput KV workloads (DEX state, bridge relay cache, AI model registry metadata) Both engines replicate continuously to S3-compatible object storag","topic":"ZRC","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0803-encrypted-streaming-replication/"},{"kind":"zip","id":"ZIP-804","title":"Zoo L1 Graduation","summary":"This proposal graduates the Zoo chain from a Lux L2 application (Chain ID 200200, settling state commitments to Lux C-Chain) to a sovereign Lux L1 with its own validator set, Quasar 3.0 triple-consensus finality (BLS + Ringtail + ML-DSA per LP-020), and independent economic security backed by $ZOO and $AI staking. The graduation follows the Quasar-Native App Stack pattern (LP-133) and embeds Zoo L1 in the Lux chain t","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0804-zoo-l1-graduation/"},{"kind":"zip","id":"ZIP-805","title":"Zoo DEX (V2/V3 Native, V4 Lux DEX Precompile)","summary":"Zoo L1 ships a native AMM DEX in three versions: - V2 — constant product (xy=k) AMM, Uniswap V2 surface. - V3 — concentrated liquidity, Uniswap V3 surface, multi-fee-tier pools (5 / 30 / 100 bps). - V4 — not a separate AMM: a precompile interface that routes swaps to the Lux DEX (~/work/lx/dex) via B-Chain messaging. All curve evaluation, tick-crossing math, and order matching execute as GPU kernels on the Zoo L1 val","topic":"ZRC","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0805-zoo-dex/"},{"kind":"zip","id":"ZIP-806","title":"Zoo AI Desktop","summary":"Zoo AI Desktop is the user-facing desktop application that runs the Zen model family locally with no cloud egress by default. It is the consumer endpoint of the Zoo 3.0 GPU-native posture: the same GPU substrate that runs validator-side consensus runs user-side inference. Users with consumer GPUs run zen4-nano through zen4-small for free; users with larger workloads opt into Zoo Cloud or the Hanzo AI Chain marketplac","topic":"ZRC","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0806-zoo-ai-desktop/"},{"kind":"zip","id":"ZIP-807","title":"zoo-bot — Pure-Go Agentic Bot Framework","summary":"zoo-bot is a pure-Go re-write of Hanzo's OpenClaw agentic bot framework (~/work/hanzo/bot). It preserves the OpenClaw skill manifest format and MCP wire protocol so skills written for OpenClaw run on zoo-bot via a compatibility shim, while replacing the TypeScript/Node runtime with a single static Go binary. Goals: smaller binary (< 50 MB), lower idle memory (< 80 MB), faster cold start (< 100 ms), narrower attack su","topic":"ZRC","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0807-zoo-bot/"},{"kind":"zip","id":"ZIP-808","title":"Zoo Bridge — Cross-Ecosystem Bridge for Zoo L1","summary":"Zoo Bridge is the cross-ecosystem bridge for Zoo L1 assets. It supports ZRC-20 fungibles, ZRC-721 NFTs (with conservation metadata and token-bound account state preserved), ZRC-1155 multi-tokens, and native $ZOO. Lock-and-mint operations require a 2-of-3 threshold supermajority across the Zoo bridge committee, signed via M-Chain (MVM) MPC ceremonies (CGGMP21 / FROST) with Ringtail (LP-073) post-quantum threshold proo","topic":"ZRC","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0808-zoo-bridge/"},{"kind":"zip","id":"ZIP-809","title":"Mesh Identity, Gossip & Payments (PQ) — Zoo mirror of HIP-0077","summary":"ZIP-0809 mirrors Hanzo HIP-0077 into Zoo Network. Every Zoo-attached device, MCP endpoint, validator, conservation oracle, indexer, and ZRC-721 token-bound account runtime derives its keypair from one HD mnemonic; the signing key is ML-DSA-65 (FIPS 204), reused from the existing luxfi/crypto/mldsa primitive (one implementation in the tree, per ZIP-0014). mDNS TXT carries the 20-byte ML-DSA address; the ZAP handshake ","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0809-mesh-identity-gossip-and-payments/"},{"kind":"zip","id":"ZIP-810","title":"Z-Chain — Post-Quantum Identity & Attestation Rollup (Zoo mirror of HIP-0078)","summary":"ZIP-0810 mirrors Hanzo HIP-0078 into Zoo Network. Z-Chain is the identity rollup for Zoo Network: validator registry, ML-DSA-65 pubkey commitments, revocation set, stake weights, DKG transcripts, and committee selection state, all proven by STARK / FRI over a SHA-3 (cSHAKE256) Merkle commitment. Pairing-based proof systems (Groth16 / BN254, KZG) are forbidden on the Zoo wire — the strict-PQ verifier refuses any cert ","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0810-z-chain-pq-identity-rollup/"},{"kind":"zip","id":"ZIP-811","title":"Q-Chain — Quasar Finality Block Standard (Zoo mirror of HIP-0079)","summary":"ZIP-0811 mirrors Hanzo HIP-0079 into Zoo Network. Q-Chain is the compact finality-block log for the Quasar consensus engine on Zoo Network. Each Q-Block carries a few hundred bytes of header + roots (anchored to Z-Chain per ZIP-0810) plus a single ~3.3 KB Pulsar-M-65 threshold signature (ZIP-0812). Per-block bandwidth is O(1) in committee size; adding validators makes Z-Chain heavier, not Q-Chain. The full Q-Block wi","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0811-q-chain-finality-blocks/"},{"kind":"zip","id":"ZIP-812","title":"Pulsar-M — Threshold ML-DSA DKG & Signing (Zoo mirror of HIP-0084)","summary":"ZIP-0812 mirrors Hanzo HIP-0084 into Zoo Network. Pulsar-M is the threshold ML-DSA primitive consumed by Q-Chain finality (ZIP-0811) on Zoo Network. It produces signatures byte-equal to single-party FIPS 204 ML-DSA — the threshold-aggregated output verifies under the unmodified FIPS 204 ML-DSA.Verify routine, with no Zoo-specific verifier extension and no BLS fallback path. Pulsar-M targets NIST MPTC Class N1 (signin","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0812-pulsar-m-dkg/"},{"kind":"zip","id":"ZIP-813","title":"Wallet PQ Account Type — Zoo mirror of HIP-0085","summary":"ZIP-0813 mirrors Hanzo HIP-0085 into Zoo Network. The native PQ wallet account on Zoo Network is identified by a 48-byte AccountID derived as SHA3-384(\"LUX-ACCOUNT-V1\" || mldsapubkey) (the cust string is shared across the strict-PQ family for byte equality). HD derivation follows the canonical Lux path m/44'/9000'/nid'/0/n, where nid' is the Zoo Network id. EVM-compat 20-byte addresses are emitted only as read-side p","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0813-wallet-pq-account-type/"},{"kind":"zip","id":"ZIP-814","title":"TxAuthEnvelope — Zoo mirror of HIP-0086","summary":"ZIP-0814 mirrors HIP-0086 into Zoo Network. Every Zoo strict-PQ transaction is signed via a TxAuthEnvelope whose transcript is built using TupleHash256 (SP 800-185) with cust string TX-AUTH-V1 over (profileid, chainid, accountid, nonce, payloadhash, identityschemeid, hashsuiteid). Signature is ML-DSA-65; the verifier is unmodified FIPS 204 ML-DSA.Verify.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0814-tx-auth-envelope/"},{"kind":"zip","id":"ZIP-815","title":"PQ Permit — Zoo mirror of HIP-0087","summary":"ZIP-0815 mirrors HIP-0087 into Zoo Network. The PQ Permit replaces EIP-2612 for ZRC-20-style off-chain approval flows on Zoo Network under ZOOSTRICTPQ. A permit is an ML-DSA-65 (FIPS 204) signature over a TupleHash256 (SP 800-185) transcript bound by the cust string PERMIT-V1 and committing to (profileid, chainid, verifyingcontract, owneraccountid, spenderaccountid, value, nonce, deadline). Contracts verify via the p","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0815-pq-permit/"},{"kind":"zip","id":"ZIP-816","title":"Session KEM — Zoo mirror of HIP-0088","summary":"ZIP-0816 mirrors HIP-0088 into Zoo Network. The Zoo ZAP handshake under ZOOSTRICTPQ performs an ML-KEM-768 (FIPS 203 NIST PQ Cat 3, default) or ML-KEM-1024 (Cat 5, high-value) encapsulation, with mutual ML-DSA-65 signatures over the handshake transcript. The derived shared secret is run through KMAC256 (SP 800-185) to produce a 256-bit AEAD key.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0816-session-kem/"},{"kind":"zip","id":"ZIP-817","title":"DRBG / Randomness Beacon — Zoo mirror of HIP-0089","summary":"ZIP-0817 mirrors HIP-0089 into Zoo Network. Under ZOOSTRICTPQ the randomness beacon is a Hash-DRBG over SHA3-384 per NIST SP 800-90A Rev. 1 §10.1.1, reseeded each epoch from a HIP-0073 QRNG entropy source XORed with a Pulsar-M (ZIP-0812) aggregated contribution. The per-block beacon output is bound into the Q-Block transcript (ZIP-0811) and signed by the Pulsar-M-65 finality cert.","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0817-drbg-randomness-beacon/"},{"kind":"zip","id":"ZIP-818","title":"Bridge PQ-Only Profile — Zoo mirror of HIP-0103","summary":"ZIP-0818 mirrors HIP-0103 into Zoo Network. Zoo bridge contracts (ZIP-0042 cross-chain mint, ZIP-0800 omnichain router, ZIP-0808 Zoo bridge) running under ZOOSTRICTPQ refuse any inbound state root that does not carry a strict-PQ profile byte (0x01, 0x04, 0x05) and pass a field-byte-equality check on the counterparty's canonical profile fields. Counterparty finality is verified by checking a Pulsar-M-65 threshold ML-D","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0818-bridge-pq-only-profile/"},{"kind":"zip","id":"ZIP-819","title":"Governance / Upgrade Keys — Zoo mirror of HIP-0098","summary":"ZIP-0819 mirrors HIP-0098 into Zoo Network. Routine Zoo DAO governance authorisations (ZIP-0017 proposals, ZIP-0018 treasury moves, ZIP-0019 validator-reward conservation splits) are issued via Pulsar-M-87 threshold ML-DSA-87 (FIPS 204, NIST PQ Cat 5). Cold-root upgrade authorisations (network upgrades, ZIP-0027 emergency governance, slashing-pause) are issued via SLH-DSA-256s (FIPS 205) under a k-of-n multi-signatur","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0819-governance-upgrade-keys/"},{"kind":"zip","id":"ZIP-820","title":"Contract Auth via Z-Chain Proof — Zoo mirror of HIP-0104","summary":"ZIP-0820 mirrors HIP-0104 into Zoo Network. Four precompiles expose the strict-PQ contract-auth surface to EVM-compatible contracts on Zoo Network: - 0x0301 — pqverifymldsa65, FIPS 204 ML-DSA-65 verify. - 0x0302 — pqverifymldsa87, FIPS 204 ML-DSA-87 verify (high-value). - 0x0303 — pqverifyslhdsa, FIPS 205 SLH-DSA verify (hash-based backstop). - 0x0304 — pqverifyzauthproof, STARKFRISHA3PQ proof verifier from ZIP-0810 ","topic":"Core","status":"Draft","url":"https://zips.zoo.ngo/docs/zip-0820-contract-auth-via-zchain-proof/"},{"kind":"zip","id":"ZIP-900","title":"Zoo Version History — 1.0 / 2.0 / 3.0 / 4.0 / DEX Launch Canonical Chronology","summary":"This ZIP is the canonical chronology of the Zoo platform: the five locked version milestones, their dates, the papers that document them, and the cross-references to the relevant Lux Improvement Proposals (LPs) and to subsequent adoption records. It exists so that any future contributor or partner can answer the question \"what was Zoo and what did Zoo ship at version N?\" with a single authoritative source.","topic":"Meta","status":"Final","url":"https://zips.zoo.ngo/docs/zip-0900-zoo-version-history/"}]}