{"schemaVersion":"nuwa-record-evidence-1","batchId":"research-2026-10-28","baseSnapshotId":"2026-10-27.3","publication":"published","dossier":null,"update":{"id":"deep-ignorance","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":"e7dc6c1b997e14c54350fae0acea2470584eb6392c4a943ea40dae9348236a72"},"text":{"en":"Check initial effect, selectivity and durability under later adaptation separately. Protein-model filtering and tool reconstruction address different assumptions in a safety argument; neither is a same-model replication of Deep Ignorance, and proxy scores are not observed biological harm.","zh":"防护初始效果、选择性和后续适应下的持久性需要分别核查。蛋白模型过滤与工具重建补充安全论证中的不同前提，不是 Deep Ignorance 的同模型复现；代理分数不等于实际生物危害。"},"sourceRefs":[{"sourceId":"dr-20261028-reprobait","url":"https://arxiv.org/html/2610.19810","title":"ReproBAIT: Can coding agents build their own biological AI tools?","locator":"Abstract; Table2 caption; §3; limitations; text lines 00207","version":"Original resource captured 2026-10-28T07:25:52.920583+00:00; sha256:cdc5d63c54b48afc059393a7b154a5670ae73b72361536695ada5890520234f1","artifactSha256":"cdc5d63c54b48afc059393a7b154a5670ae73b72361536695ada5890520234f1","textSha256":"2011ce04644811678df376ca56c266fc53901266551409c68506adfd26ae414d","capturedAt":"2026-10-28T07:25:52.920583+00:00","resourceEdition":"arXiv:2610.19810v1 [cs.AI] 14 Oct 2026"},{"sourceId":"dr-20261028-protein-filtering","url":"https://arxiv.org/html/2610.26651","title":"The Effectiveness and Durability of Pretraining Data Filtering in Protein Language Models","locator":"Abstract; §4.4 limitations; conclusion; text lines 00271","version":"Original resource captured 2026-10-28T07:25:52.921030+00:00; sha256:83a3c96f121b7de5bcb6ba87f388d6ac39e33416fd00b70cbcf68d3235ac7670","artifactSha256":"83a3c96f121b7de5bcb6ba87f388d6ac39e33416fd00b70cbcf68d3235ac7670","textSha256":"5e4f05b3088329b3d6ea82417774119d3c1102e72bcc082ec6e2a5536d461ccb","capturedAt":"2026-10-28T07:25:52.921030+00:00","resourceEdition":"arXiv:2610.26651v1 [cs.LG] 19 Oct 2026"}],"relatedWorkIds":["protein-filtering","reprobait"],"publication":{"state":"published","publishedOn":"2026-10-29","authorizationReference":"user-authorized-global-index-publication-2026-10-29","reviewedCandidateId":"local-6efe31bc4a0c0f37"}}}