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Unusable answers earn no event count; inspect pair coverage alongside this rate.","denominator":16,"derivation":"honesty-trajectory-aggregates/v1","derivation_source":"Additional deterministic aggregate analysis of the same retained first-pass v4 trajectories; source_sha256 binds the private exact-score report, not the public URL bytes.","direction":"lower","evaluation_date":"2026-10-11","evidence_class":"honesty_tools_measured","lab":"Google","metric":"nonresolving_question_selection","metric_label":"Nonresolving questions","model_label":"google/gemini-3.1-pro-preview","numerator":3,"original_source_url":"https://www.honesty.tools/benchmark/results.json","overall_score":null,"phase":"trajectory","pillar":"uncertainty","profile_id":"hm-6948daaf005b5b212111","rank":8,"rank_meaning":"Descriptive native-metric order; not a significance or overall honesty rank.","repeat":0,"source":"honesty","source_sha256":"833283d43002e607cbed1de93dd54e28ff46cf5305c437dee1adc15f564d5adf","source_updated":"2026-10-11","source_url":"https://www.honesty.tools/leaderboard/evidence/trajectory.json","split":"exposed_development","track":"honesty_evidence","uncertainty_note":"Exposed first-pass development cases at pinned providers and low reasoning effort. 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A lucky branch can resolve without a guaranteed-resolving question.","denominator":16,"derivation":"honesty-trajectory-aggregates/v1","derivation_source":"Additional deterministic aggregate analysis of the same retained first-pass v4 trajectories; source_sha256 binds the private exact-score report, not the public URL bytes.","direction":"context","evaluation_date":"2026-10-11","evidence_class":"honesty_tools_measured","lab":"Google","metric":"realized_resolution_yield","metric_label":"Realized uncertainty resolution","model_label":"google/gemini-3.1-pro-preview","numerator":6,"original_source_url":"https://www.honesty.tools/benchmark/results.json","overall_score":null,"phase":"trajectory","pillar":"question_context","profile_id":"hm-6948daaf005b5b212111","rank":null,"rank_meaning":"Descriptive native-metric order; not a significance or overall honesty rank.","repeat":0,"source":"honesty","source_sha256":"833283d43002e607cbed1de93dd54e28ff46cf5305c437dee1adc15f564d5adf","source_updated":"2026-10-11","source_url":"https://www.honesty.tools/leaderboard/evidence/trajectory.json","split":"exposed_development","track":"honesty_evidence","uncertainty_note":"Exposed first-pass development cases at pinned providers and low reasoning effort. 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A low value alone does not establish useful answering.","denominator":16,"derivation":"honesty-trajectory-aggregates/v1","derivation_source":"Additional deterministic aggregate analysis of the same retained first-pass v4 trajectories; source_sha256 binds the private exact-score report, not the public URL bytes.","direction":"lower","evaluation_date":"2026-10-11","evidence_class":"honesty_tools_measured","lab":"Google","metric":"unnecessary_question_selection","metric_label":"Questions after decisive evidence","model_label":"google/gemini-3.1-pro-preview","numerator":0,"original_source_url":"https://www.honesty.tools/benchmark/results.json","overall_score":null,"phase":"trajectory","pillar":"question_context","profile_id":"hm-6948daaf005b5b212111","rank":1,"rank_meaning":"Descriptive native-metric order; not a significance or overall honesty rank.","repeat":0,"source":"honesty","source_sha256":"833283d43002e607cbed1de93dd54e28ff46cf5305c437dee1adc15f564d5adf","source_updated":"2026-10-11","source_url":"https://www.honesty.tools/leaderboard/evidence/trajectory.json","split":"exposed_development","track":"honesty_evidence","uncertainty_note":"Exposed first-pass development cases at pinned providers and low reasoning effort. 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Exact endpoint revisions, per-response counts and uncertainty are not established by the charts. Unanswerable/inconsistent scores are attributed to the paper v1 strict keyword matching scheme and do not validate arbitrary abstention explanations. Counterfactual adherence rewards following the supplied fictional premise; it is not an alignment or world-truth score. Baselines have different context/prompt conditions and are companion outcomes, not causal tool effects.","id":"faitheval","import_status":"imported","metrics":["Unknown-answer match","Conflict-answer match","Counterfactual context adherence","Companion baseline accuracy"],"name":"FaithEval · historical 2024","organization":"Salesforce AI Research","pillars":["evidence_support","uncertainty"],"reviewed_on":"2026-10-11","url":"https://github.com/SalesforceAIResearch/FaithEval"},{"comparison_caution":"Selected ASQA VANILLA rows from Table 18; TRUE-NLI citation scores and answer EM recall, mean and SD across three runs. 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