{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:7PM2BGWCSFMDPXLAYQR2B775YU","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"092510612e284079b36665f3fe019d4ed6b9b09c3373c6524387541ff799183e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-13T19:38:08Z","title_canon_sha256":"201e6dceaad416954a613e3aa88498817e443ba8b72820cebadef7e25c61b251"},"schema_version":"1.0","source":{"id":"2605.14063","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.14063","created_at":"2026-05-17T23:39:12Z"},{"alias_kind":"arxiv_version","alias_value":"2605.14063v1","created_at":"2026-05-17T23:39:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.14063","created_at":"2026-05-17T23:39:12Z"},{"alias_kind":"pith_short_12","alias_value":"7PM2BGWCSFMD","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"7PM2BGWCSFMDPXLA","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"7PM2BGWC","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:274eeb68681e8386fa62eef83179cbf0a98d820a4d478d23afd8e44c42a2936c","target":"graph","created_at":"2026-05-17T23:39:12Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"Combined with ASR, RMemSafe achieves the lowest error on 8 of 9 matched-split continual-corruption cells and is the best reset-based method on all 9, improving ROID+ASR by 1.05 pp on ResNet-50 and 0.48 pp on ViT-B/16. A controlled source-degradation sweep shows a 1.13× shallower harm slope than ROID+ASR."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"That normalized predictive entropy from the frozen source reliably signals when anchoring should be attenuated, without missing cases of confidently wrong low-entropy predictions or introducing instability in the fallback objective."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"RMemSafe gates source anchoring via entropy in CTTA, reducing error by 1.05pp on ResNet-50 when source accuracy collapses and showing shallower degradation slope than prior methods."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"RMemSafe uses normalized predictive entropy to gate source anchoring in continual test-time adaptation, disabling unreliable anchors when the source posterior flattens."}],"snapshot_sha256":"7bfe6a0ea90eff13df743ed61c7cd14cd4fc05b0359a2c7241d23d526456777b"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Continual test-time adaptation (CTTA) updates a pretrained model online on an unlabeled, non-stationary stream while anchoring it to a frozen source checkpoint. This anchor is useful only when the source remains reliable. On CCC-Hard, however, a ResNet-50 source falls to approximately $1.3\\%$ top-$1$ accuracy, while existing source-anchored CTTA methods continue applying the same anchor strength. We call this failure mode blind anchoring and propose RMemSafe, a reliability-gated extension of ROID that uses the frozen source's normalized predictive entropy to attenuate all explicit source-coupl","authors_text":"Biyao Zhang, Christian Gagn\\'e, Debargha Ganguly, Mohsen Harir, Osama Zafar, Sabyasachi Sahoo, Shouren Wang, Sreehari Sankar, Vikash Singh, Vipin Chaudhary, Weicong Chen","cross_cats":[],"headline":"RMemSafe uses normalized predictive entropy to gate source anchoring in continual test-time adaptation, disabling unreliable anchors when the source posterior flattens.","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-13T19:38:08Z","title":"Reliability-Gated Source Anchoring for Continual Test-Time Adaptation"},"references":{"count":43,"internal_anchors":2,"resolved_work":43,"sample":[{"cited_arxiv_id":"2507.20051","doi":"","is_internal_anchor":true,"ref_index":1,"title":"$K^4$: Online Log Anomaly Detection Via Unsupervised Typicality Learning","work_id":"ce79fed9-a586-4766-abdf-44b96f8005d3","year":2025},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":2,"title":"A., and Yang, B","work_id":"9ab28abd-8337-4025-bf6f-2ec176bfb46f","year":2023},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":3,"title":"Ganguly, D., Iyengar, S., Chaudhary, V ., and Kalyanaraman, S. (2024). PROOF OF THOUGHT : Neurosymbolic program synthesis allows robust and interpretable reasoning. InThe First Workshop on System-2 Re","work_id":"4643340a-5f09-48a6-8908-1c447c784271","year":2024},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":4,"title":"Ganguly, D., Morningstar, W. R., Yu, A. S., and Chaudhary, V . (2025a). Forte : Finding outliers with representation typicality estimation. InThe Thirteenth International Conference on Learning Repres","work_id":"b309b410-1a4f-480b-bdd0-df95bf17886d","year":null},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":5,"title":"Ganguly, D., Sankar, S., Zhang, B., Singh, V ., Gupta, K., Kavuru, H., Luo, A., et al. (2026). Trust the typical: An out-of-distribution safety detection framework.arXiv preprint arXiv:2602.04581. ICL","work_id":"f9953d8e-eb2a-4e8e-9610-1df1dda10d04","year":2026}],"snapshot_sha256":"2c4ab01fd3621093e8fdd8d189b8e199094cd81d989d81ed7d7d504665be2b86"},"source":{"id":"2605.14063","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-15T05:25:43.615263Z","id":"25b292d8-15ed-4dac-a078-a29a9e2c532b","model_set":{"reader":"grok-4.3"},"one_line_summary":"RMemSafe gates source anchoring via entropy in CTTA, reducing error by 1.05pp on ResNet-50 when source accuracy collapses and showing shallower degradation slope than prior methods.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"RMemSafe uses normalized predictive entropy to gate source anchoring in continual test-time adaptation, disabling unreliable anchors when the source posterior flattens.","strongest_claim":"Combined with ASR, RMemSafe achieves the lowest error on 8 of 9 matched-split continual-corruption cells and is the best reset-based method on all 9, improving ROID+ASR by 1.05 pp on ResNet-50 and 0.48 pp on ViT-B/16. A controlled source-degradation sweep shows a 1.13× shallower harm slope than ROID+ASR.","weakest_assumption":"That normalized predictive entropy from the frozen source reliably signals when anchoring should be attenuated, without missing cases of confidently wrong low-entropy predictions or introducing instability in the fallback objective."}},"verdict_id":"25b292d8-15ed-4dac-a078-a29a9e2c532b"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:6f500fd28f8464324ddcc83d27884d1732c3ef3aa32a9cd0f22e7fa8e00a52ab","target":"record","created_at":"2026-05-17T23:39:12Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"092510612e284079b36665f3fe019d4ed6b9b09c3373c6524387541ff799183e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-13T19:38:08Z","title_canon_sha256":"201e6dceaad416954a613e3aa88498817e443ba8b72820cebadef7e25c61b251"},"schema_version":"1.0","source":{"id":"2605.14063","kind":"arxiv","version":1}},"canonical_sha256":"fbd9a09ac2915837dd60c423a0fffdc504060b99dde629e7bf591899659d21c1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fbd9a09ac2915837dd60c423a0fffdc504060b99dde629e7bf591899659d21c1","first_computed_at":"2026-05-17T23:39:12.504463Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:12.504463Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z/DUvDSPLjGD1lbWhb+tXQQmsMQ1nB1b2ttJCp1v9CQYeFjTwfgmgoN8et7sF2w4moBsOFArba5Tnw3XtPMQAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:12.505097Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.14063","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f500fd28f8464324ddcc83d27884d1732c3ef3aa32a9cd0f22e7fa8e00a52ab","sha256:274eeb68681e8386fa62eef83179cbf0a98d820a4d478d23afd8e44c42a2936c"],"state_sha256":"3d80b28ab0b2c930794b05218fefdb444ac23b275de3f8a87ceb07660ae1b141"}