{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RCRPA4VYZVLIAK4SNOO42HPE6O","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":"caef55f3b475850861831b1b2d90daa29419303731038c76ad8b667de8543231","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-07T17:53:47Z","title_canon_sha256":"2e75bec3877ca6b05461297d2af8e9f5d5821f4d1e412f34f29b257bf924fcea"},"schema_version":"1.0","source":{"id":"2505.04608","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.04608","created_at":"2026-07-05T11:58:28Z"},{"alias_kind":"arxiv_version","alias_value":"2505.04608v4","created_at":"2026-07-05T11:58:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.04608","created_at":"2026-07-05T11:58:28Z"},{"alias_kind":"pith_short_12","alias_value":"RCRPA4VYZVLI","created_at":"2026-07-05T11:58:28Z"},{"alias_kind":"pith_short_16","alias_value":"RCRPA4VYZVLIAK4S","created_at":"2026-07-05T11:58:28Z"},{"alias_kind":"pith_short_8","alias_value":"RCRPA4VY","created_at":"2026-07-05T11:58:28Z"}],"graph_snapshots":[{"event_id":"sha256:20d9ceeb15d1b3d5d954fb47fc3b5f5ca9237fcf82cb3742099ce282463119ee","target":"graph","created_at":"2026-07-05T11:58:28Z","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":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2505.04608/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Responsibly deploying artificial intelligence (AI) / machine learning (ML) systems in high-stakes settings arguably requires not only proof of system reliability, but also continual, post-deployment monitoring to quickly detect and address any unsafe behavior. Methods for nonparametric sequential testing -- especially conformal test martingales (CTMs) and anytime-valid inference -- offer promising tools for this monitoring task. However, existing approaches are restricted to monitoring limited hypothesis classes or ``alarm criteria'' (e.g., detecting data shifts that violate certain exchangeab","authors_text":"Anqi Liu, Drew Prinster, Suchi Saria, Xing Han","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-07T17:53:47Z","title":"WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.04608","kind":"arxiv","version":4},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:90264562470199057d9b725130b0a6096bcaf0ccb96ba971c7e42f980db8b5a8","target":"record","created_at":"2026-07-05T11:58:28Z","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":"caef55f3b475850861831b1b2d90daa29419303731038c76ad8b667de8543231","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-07T17:53:47Z","title_canon_sha256":"2e75bec3877ca6b05461297d2af8e9f5d5821f4d1e412f34f29b257bf924fcea"},"schema_version":"1.0","source":{"id":"2505.04608","kind":"arxiv","version":4}},"canonical_sha256":"88a2f072b8cd56802b926b9dcd1de4f3b825b157b751e1acbd6d4241395a7995","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"88a2f072b8cd56802b926b9dcd1de4f3b825b157b751e1acbd6d4241395a7995","first_computed_at":"2026-07-05T11:58:28.564294Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:58:28.564294Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LBe7eY8Q/swfKiSWPIhHWPVUXXPUVkwkjzyCGl+goLstr2Mu4lk7CC3pbZA9yQOwHA2wBSlul2hAkQEOjfk/Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:58:28.565027Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.04608","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:90264562470199057d9b725130b0a6096bcaf0ccb96ba971c7e42f980db8b5a8","sha256:20d9ceeb15d1b3d5d954fb47fc3b5f5ca9237fcf82cb3742099ce282463119ee"],"state_sha256":"8205d009371bae86a036ae6eda7d4ea7024e1dd16d1f6c5b779a9db9eb9c67b1"}