C is the preferred submission in this blinded review. It combines accurate, appropriately scoped source use with the most consistently worked methods: a confusion matrix, a calculated Wilson interval, paired resampling, category-aware cost accounting and recovery from an ambiguous write acknowledgement. It still needs copy-editing, a few reusable tables and final publication checks.

| Submission | Frozen score /100 | Editorial judgement |
|---|---:|---|
| C | 93.82 | Preferred complete cluster |
| A | 81.00 | Strong, coherent; narrow numerical runner-up |
| D | 80.64 | Editorial near-tie with A |
| B | 78.18 | Useful depth, with substantive repairs required |

The unchanged weights were applied exactly: article dimensions averaged equally across eleven drafts; cluster dimensions scored once. Every article has four dimension scores and evidence in `article-scores.json`. Those scores and the cluster totals were hashed in `independent-score-freeze.json` **before** pairwise comparison. They were not adjusted afterwards.

A is clear and dependable. Its policy-assistant example sustains the series, its source claims are carefully bounded, and the agent article provides concrete read-error and partial-write cases. Its principal limitation is practical presentation: several useful procedures remain prose descriptions rather than completed records, and the uncertainty article explains paired analysis without calculating an interval. Repeated closing cautions and uneven direct pillar navigation need light editing.

D is similarly usable and deserves serious consideration alongside A. Its ticket-sampling example, ordinal-scale caution, selective-coverage discussion and human-review cost worksheet add value. Its uncertainty article needs a worked calculation. Two inline citations wrongly attach “Zheng et al.” to [Judging the Judges, whose lead author is Lin Shi](https://arxiv.org/abs/2406.07791). The paper is real and supports position bias; the error is bibliographic, not fabricated evidence. Its two recent preprints are also real and are described with appropriate scope limits. The 0.36-point gap from A is too small to treat as a robust editorial separation.

B has substantial strengths: broad primary-source research, copyable task/configuration schemas, standard-error and power calculations, and a useful decision memo. Most historical numerical results checked correctly. Its confident prose sometimes turns conditional methods into universal rules. Matching nominal effort labels does not establish matched computation, and the claim that higher effort always raises tokens and latency exceeds what the [model-dependent, adaptive effort documentation](https://developers.openai.com/api/docs/guides/reasoning) establishes. Lack of decontamination disclosure does not make a benchmark score a guaranteed upper bound.

B’s cost article has a publication blocker because its budgeting guidance can undercount costs. Its Haiku price row omits the prompt-length condition: the [official table](https://claude.com/pricing) has a fivefold input/output rate increase above 100K prompt tokens. Its formula also uses “output” after defining output as the visible answer, although [reasoning tokens are billed as output](https://developers.openai.com/api/docs/guides/reasoning). Define total billed output explicitly and count each category once. These are incomplete/ambiguous guidance issues; the checked prices are real, and the labelled hypothetical calculations are not presented as measured experiments.

Other B corrections are narrower. “Initial release” incorrectly labels LiveCodeBench’s May 2023–May 2024 window: [v1 ends in February 2024](https://arxiv.org/abs/2403.07974v1), while the later window appears in v2. BIG-bench’s 2022 preprint year is valid, but its TMLR venue-year should be 2023, as shown in the [journal paper’s header](https://joshrule.com/files/srivastava2023beyond.pdf). These errors do not establish fabricated citations.

All 44 full drafts and all 74 packet supporting files were read. The common body-word convention excludes metadata, headings, code listings, navigation and reference lists; it retains visible prose/link labels. All drafts fall within the brief’s ranges. All 206 relative article links resolve, metadata matches the cluster maps, and the link maps match actual targets/anchors. Disclosed differences in counting conventions do not establish dishonesty. Packet hashes matched initially; the final validation records the completion check.

The ledger contains **193 substantive claim checks**, plus two bibliographic claim records and 127 citation associations. It includes every discovered material changing price/result/schedule claim and independently recalculated teaching examples. This is targeted verification, not exhaustive fact checking. No fabricated evidence was identified in these checks. Live sources retrieved on 28 October corroborate current text but cannot prove what a page showed on a candidate’s earlier research date. No benchmark experiment, hidden training-data audit or invoice verification was performed.

The twelve directed comparisons reconsidered all six pairs in reversed presentation order. No judgement changed; this is one judge’s internal check, with retained memory, and does not establish freedom from bias. C remained preferred; A and D remained close. Estimated editing effort is C 6–10 hours, A 8–12, D 10–16 and B 18–28, as explained in `editing-plan.md`; no editing time was measured.

This compares four submitted clusters from one run each. Eleven articles are not eleven independent model runs, and the review establishes neither general model superiority nor statistical significance. Blinding is an attempt: content can contain clues, but no identities were sought or inferred. Identity release, producer efficiency, publication and independent acceptance remain outside this phase.