{
  "date": "2026-10-26",
  "scope": "Revised publication copies only; frozen originals and scores unchanged.",
  "source_review": "Fresh three-way targeted review dated 25 October UTC, with pricing/usage corrections checked 26 October. This log does not imply exhaustive verification or publication approval.",
  "articles": [
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      "source": "contamination-leakage-and-holdouts.md",
      "title": "Contamination, Leakage and Holdouts: Why Your Benchmark Score May Be Inflated",
      "url": "/benchmarks/ai-editorial-deepseek-2026-10-25/deepseek/contamination-leakage-and-holdouts/",
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      "changes": [
        "Reuse shared Insights layout, add model/version disclosure and archive metadata; remove duplicate H1 and map local article links to public archive routes.",
        "Correct LiveCodeBench version/date distinction.",
        "Link exact paper versions.",
        "Remove unsupported upper-bound inference.",
        "Reconcile retirement rule across cluster.",
        "Define one decision cycle rather than conflicting per-model reuse.",
        "Render reference URLs as descriptive source links for mobile wrapping; retain source attribution and destination.",
        "Clarify that 73.82 is the eleven-article submission aggregate, not an individual article score, following independent editorial review.",
        "Qualify the diagnosis of a performance drop on fresh tasks.",
        "Apply the same conditional post-cutoff-window clarification in the contamination guide."
      ],
      "review_status": "Candidate review and release evidence are maintained separately; this edit log is not approval."
    },
    {
      "source": "designing-evaluation-tasks-and-datasets.md",
      "title": "Designing Evaluation Tasks and Datasets That Reflect Your Workload",
      "url": "/benchmarks/ai-editorial-deepseek-2026-10-25/deepseek/designing-evaluation-tasks-and-datasets/",
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        "Reuse shared Insights layout, add model/version disclosure and archive metadata; remove duplicate H1 and map local article links to public archive routes.",
        "Allow validated synthetic evidence and qualify categorical dismissal.",
        "Replace categorical sample-size tiers with conditional precision/power planning.",
        "Permit independently validated synthetic cases while retaining generator-risk disclosure.",
        "Render reference URLs as descriptive source links for mobile wrapping; retain source attribution and destination.",
        "Clarify that 73.82 is the eleven-article submission aggregate, not an individual article score, following independent editorial review.",
        "Add authorisation, minimisation and storage boundaries to production-data collection guidance.",
        "Clarify repository boundaries for restricted data and sealed holdouts."
      ],
      "review_status": "Candidate review and release evidence are maintained separately; this edit log is not approval."
    },
    {
      "source": "evaluating-agents-and-tool-use.md",
      "title": "Evaluating Agents and Tool Use: Model Benchmarks Are Not System Benchmarks",
      "url": "/benchmarks/ai-editorial-deepseek-2026-10-25/deepseek/evaluating-agents-and-tool-use/",
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      "changes": [
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        "Render reference URLs as descriptive source links for mobile wrapping; retain source attribution and destination.",
        "Clarify that 73.82 is the eleven-article submission aggregate, not an individual article score, following independent editorial review.",
        "Tie repeated-run reliability to actual operational and retry requirements.",
        "Qualify the evidential scope of a single successful attempt.",
        "Add concrete secret/data minimisation, access and retention boundaries to trace guidance.",
        "Qualify LiveCodeBench temporal protection by selected window and known model cutoff; no automatic contamination guarantee."
      ],
      "review_status": "Candidate review and release evidence are maintained separately; this edit log is not approval."
    },
    {
      "source": "evaluating-ai-models-and-agent-systems.md",
      "title": "Evaluating AI Models and Agent Systems: A Practical Guide for Technical Teams",
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      "changes": [
        "Reuse shared Insights layout, add model/version disclosure and archive metadata; remove duplicate H1 and map local article links to public archive routes.",
        "Label opening scenario as illustrative.",
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        "Render reference URLs as descriptive source links for mobile wrapping; retain source attribution and destination.",
        "Clarify that 73.82 is the eleven-article submission aggregate, not an individual article score, following independent editorial review.",
        "Distinguish single-attempt success from repeated-success reliability without dismissing a valid metric."
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      "review_status": "Candidate review and release evidence are maintained separately; this edit log is not approval."
    },
    {
      "source": "human-evaluation-and-model-judges.md",
      "title": "Human Evaluation and Model Judges: Getting Reliable Judgements at Scale",
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        "Reuse shared Insights layout, add model/version disclosure and archive metadata; remove duplicate H1 and map local article links to public archive routes.",
        "Specify vote encoding, disagreement handling and limits of order swaps.",
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        "Render reference URLs as descriptive source links for mobile wrapping; retain source attribution and destination.",
        "Clarify that 73.82 is the eleven-article submission aggregate, not an individual article score, following independent editorial review.",
        "Make evidence-first judging a calibration technique to test, rather than a guaranteed consistency improvement."
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    },
    {
      "source": "interpreting-results-and-maintaining-evals.md",
      "title": "Interpreting Results and Keeping Evaluations Useful Over Time",
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        "Render reference URLs as descriptive source links for mobile wrapping; retain source attribution and destination.",
        "Clarify that 73.82 is the eleven-article submission aggregate, not an individual article score, following independent editorial review.",
        "Qualify the remaining categorical sample-count shortcut.",
        "Clarify the interpretation of significance tests.",
        "Distinguish configurations from statistical comparisons."
      ],
      "review_status": "Candidate review and release evidence are maintained separately; this edit log is not approval."
    },
    {
      "source": "latency-token-usage-and-cost.md",
      "title": "Latency, Token Usage and Cost: The Other Half of the Scorecard",
      "url": "/benchmarks/ai-editorial-deepseek-2026-10-25/deepseek/latency-token-usage-and-cost/",
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        "Reuse shared Insights layout, add model/version disclosure and archive metadata; remove duplicate H1 and map local article links to public archive routes.",
        "Correct output definition to include billed reasoning.",
        "Replace ambiguous rate/success formula and double-retry risk with all-attempt totals and explicit units/denominator.",
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        "Qualify small-sample tail recommendations.",
        "Render reference URLs as descriptive source links for mobile wrapping; retain source attribution and destination.",
        "Distinguish provider TTFT event from time to first visible answer content.",
        "Clarify that 73.82 is the eleven-article submission aggregate, not an individual article score, following independent editorial review.",
        "Remove an unused moving-price reference from the narrowed current reference table.",
        "Scope reasoning-token billing and visibility guidance to the cited OpenAI models.",
        "Scope long-context pricing to the verified model designations."
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    },
    {
      "source": "objective-metrics-and-rubrics.md",
      "title": "Objective Metrics and Rubrics That Measure What Matters",
      "url": "/benchmarks/ai-editorial-deepseek-2026-10-25/deepseek/objective-metrics-and-rubrics/",
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        "Reuse shared Insights layout, add model/version disclosure and archive metadata; remove duplicate H1 and map local article links to public archive routes.",
        "Do not erase meaningful distinctions in normalisation.",
        "State pass@k domain and task aggregation.",
        "Distinguish token F1 from judge verbosity bias.",
        "Correct verbosity attribution.",
        "Render reference URLs as descriptive source links for mobile wrapping; retain source attribution and destination.",
        "Clarify that 73.82 is the eleven-article submission aggregate, not an individual article score, following independent editorial review.",
        "Distinguish pooled sample results from traffic estimates under stratified/oversampled designs."
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      "review_status": "Candidate review and release evidence are maintained separately; this edit log is not approval."
    },
    {
      "source": "prompt-tool-and-configuration-fairness.md",
      "title": "Comparing Models Fairly: Prompts, Tools and Configuration",
      "url": "/benchmarks/ai-editorial-deepseek-2026-10-25/deepseek/prompt-tool-and-configuration-fairness/",
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        "Reuse shared Insights layout, add model/version disclosure and archive metadata; remove duplicate H1 and map local article links to public archive routes.",
        "Qualify deterministic tool-schema superiority.",
        "Remove always-increases assertion; refresh reasoning interpretation.",
        "Distinguish equal labels from matched computation.",
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        "Correct effort audit wording.",
        "Do not imply an interval corrects confounding.",
        "Render reference URLs as descriptive source links for mobile wrapping; retain source attribution and destination.",
        "Clarify that 73.82 is the eleven-article submission aggregate, not an individual article score, following independent editorial review."
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    {
      "source": "public-benchmarks-vs-workload-evaluation.md",
      "title": "Public Benchmarks Are a Screening Tool, Not a Decision",
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        "Render reference URLs as descriptive source links for mobile wrapping; retain source attribution and destination.",
        "Clarify that 73.82 is the eleven-article submission aggregate, not an individual article score, following independent editorial review."
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    {
      "source": "repeatability-variance-and-uncertainty.md",
      "title": "Repeatability, Variance and Uncertainty in Model Evaluations",
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        "State normal-approximation limits.",
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        "Remove universal sample-size recommendation.",
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        "Render reference URLs as descriptive source links for mobile wrapping; retain source attribution and destination.",
        "Clarify that 73.82 is the eleven-article submission aggregate, not an individual article score, following independent editorial review.",
        "Remove metric-substitution rhetoric and describe the operational meaning of each measure.",
        "Replace universal variance-redistribution claim with configuration-specific uncertainty guidance."
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  "historical_log_note": "The original round’s edit log remains an immutable record of its 22 October publication revision. This extension log separately binds later updates to those existing pages.",
  "independent_editorial_revisions": "R3 responds to the complete source/diff review of R2: cluster-score unit, reliability metrics, traffic weighting, trace/data handling, contamination diagnosis, calibration language and reader navigation. These are publication-copy corrections, not a rescore.",
  "independent_claims_revisions": "R3 qualifies conditional LiveCodeBench temporal protection, provider/model-specific billing, temperature/configuration uncertainty, significance interpretation, comparison counts and restricted-data storage. Added the official general OpenAI pricing reference; frozen measurements, scores and originals are unchanged."
}