6 Commits
Author SHA1 Message Date
zeekayandHanzo Dev 5ef836794b The product papers, held to what was measured
All ninety-six papers from 86d8915 were audited for numbers presented as
results. Three hundred and fifty-three turn out to be presented as measurements
with nothing behind them, and not one paper in the batch cites a harness, a run,
a checkpoint, a seed or a date. The thirteen product papers at the root are the
part of that this commit fixes.

Each carried a production-operations figure in its abstract — 200+ models across
48 GPUs at 99.9% availability, 2M authentications daily over 1,200 tenants,
$240M processed at 99.97%, 15TB across 400 tenants, three years of ledger
operation without a discrepancy, a 65% cut in mean-time-to-diagnosis, per-request
overhead against nginx and Caddy, an iPhone 15 Pro latency table. None of the
repositories behind them holds a benchmark that produces those numbers; no
deployment in this estate records those volumes; the hardware two of them name
does not exist here; and several papers are dated years before their own code was
first committed.

A design target can be relabelled. These could not, because a target is a claim
about the future and these were claims about a past that did not happen. So they
are removed, and every paper now carries a short section naming what it said,
why it is gone, and what run would put a number back. Nothing was replaced with a
number that was not measured either.

Two papers are different. pubsub and ledger ship harnesses that measure exactly
the quantities their tables report — the NATS benchmark suite in one, a
parallelism-flagged TPS harness in the other. Those tables stay, with their
provenance stated: not traceable to a recorded run, and here is what would make
them so. The gap is a run, not a mechanism.

The eighty-one zen/ papers hold the other 321 and are left alone. zenlm/papers
already had a sweeping withdrawal pass reverted for asserting more than it
verified, the models are largely real, and several of these are template-
generated with one pretraining sentence filled in for different models — that
needs a decision about the family, not an edit per paper. LLM.md records the
finding, the shapes it takes, and the two zen papers that already do it right.

Co-authored-by: Hanzo Dev <[email protected]>
2026-09-10 23:28:03 -07:00
zeekay 63f9d32764 papers: rebuild root-level PDFs (timestamp refresh from bulk-build pass) 2026-05-13 12:46:19 -07:00
zeekay dbf6fc9a79 papers: reorganize into per-paper directories, recompile defense PDFs, trim README 2026-04-17 17:21:13 -07:00
zeekay a4540849a3 fix: placeholder arxiv numbers in zen-reranker 2026-03-01 23:37:11 -07:00
zeekay 4a64fd2eff fix: Snow→Quasar in hanzo-consensus-ai + zen-coder 2026-03-01 21:48:58 -07:00
zeekay 86d8915c08 feat: 15 product papers (base, iam, gateway, kms, commerce, etc.) + sync 58 zen papers from zen/papers 2026-03-02 14:41:53 -07:00