{"schemaVersion":"nuwa-record-evidence-1","batchId":"research-2026-10-28","baseSnapshotId":"2026-10-27.3","publication":"published","dossier":{"id":"aisi-trends","en":{"takeaway":"Cross-domain trends require methodology-specific interpretation and negative-evidence limits.","question":"How should frontier trends be read across distinct evaluation methods?","design":"The official report juxtaposes question answering, long tasks, agent evaluation, expert red teaming and human studies, discussing their methodological blind spots. Included studies retain their original experimental identity.","findings":["The report describes no observable spontaneous sandbagging in more than 2,700 monitored transcripts, while acknowledging black-box limitations. This is a bounded negative observation rather than evidence that sandbagging is absent."],"interpretation":"A cross-domain report can organise questions and evidence chains, but methods and detection sensitivity must remain explicit. Non-detection does not establish absence.","limits":"The report is not an independent replication of its component studies. Black-box and trace-based observations may miss unobservable strategies.","connections":[],"decisionRelevance":"NUWA recommendation: Use its method taxonomy to connect records and identify missing evidence without pooling heterogeneous scores."},"zh":{"takeaway":"汇总 QA、长任务、智能体、专家红队和人类研究；对 2,700 余条轨迹未发现可观测的自发藏拙，同时承认黑箱盲点。","question":"多领域趋势如何与评测方法对应？","design":"官方报告将问答、长任务、智能体评测、专家红队与人类研究并置，并讨论方法盲点。汇总结果保留原实验身份，本次不将被引用研究再计为独立复现。","findings":["报告在 2,700 余条受监测轨迹中未观察到自发藏拙，同时承认黑箱局限。这是有范围的未检出观察，不能证明藏拙不存在。"],"interpretation":"跨领域报告适合组织研究问题与证据链；各章节的测量工具和检出能力必须保留，未检出不能直接等同于不存在。","limits":"系列汇总不能当作独立复现；未检出链式思维证据不证明无藏拙。","connections":[],"decisionRelevance":"NUWA 建议：为既有 RepliBench、网络场景和说服条目补充跨域上下文及反证。"},"assertionPolicy":{"findings":"source-finding","interpretation":"nuwa-interpretation","decisionRelevance":"recommendation"},"observations":[],"relatedWorkIds":[],"supplementSourceId":"aisi-trends","batchId":"research-2026-10-28","sourceRefs":[{"sourceId":"dr-20261028-aisi-trends","url":"https://www.aisi.gov.uk/frontier-ai-trends-report","title":"Frontier AI Trends Report","locator":"Evaluation methods; sandbagging; scientific capabilities; text lines 00200","version":"Original resource captured 2026-10-28T07:24:44.869574+00:00; sha256:b824d2f8d82a6649fb2b1f1eb1420edfecb1e6cc6ebd663210de4d7aab33a012","artifactSha256":"b824d2f8d82a6649fb2b1f1eb1420edfecb1e6cc6ebd663210de4d7aab33a012","textSha256":"b40cf5ba6fae44f78c85de802e356b5e90d2c48e478aebbde255fe833ba12df5","capturedAt":"2026-10-28T07:24:44.869574+00:00","resourceEdition":"Frontier AI Trends Report by The AI Security Institute (AISI)"}],"publication":{"state":"published","publishedOn":"2026-10-29","authorizationReference":"user-authorized-global-index-publication-2026-10-29","reviewedCandidateId":"local-6efe31bc4a0c0f37"},"review":{"state":"published-note","sourceScope":"full-text","availableScope":null,"readingCoverage":"selected-original-sections","completePaperAudit":false,"independentEvidenceReview":"pending-human-review","bilingualEditorialReview":"pending-human-review","authorship":"model-assisted-research-note","preparedFingerprint":"d5a3a563bfeb3f43475b7c95a964f2b37d64fc0b44bd6b47fb788abae3dc4b88"}},"update":null}