{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:ZYZBTUNAIOKKC6VOY272MT24RA","short_pith_number":"pith:ZYZBTUNA","canonical_record":{"source":{"id":"2605.23744","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-22T15:18:53Z","cross_cats_sorted":[],"title_canon_sha256":"82f547d4de53bc860796239ad8884de2adfcbfc5147bbea107f4341afd99e329","abstract_canon_sha256":"fa04dbd8673751dd584f4d37c02882ecf6dcef2fac23cca6626194c8f644d5a9"},"schema_version":"1.0"},"canonical_sha256":"ce3219d1a04394a17aaec6bfa64f5c882f328ded9c2a9984fc5f6db040eb25ec","source":{"kind":"arxiv","id":"2605.23744","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23744","created_at":"2026-05-25T02:02:29Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23744v1","created_at":"2026-05-25T02:02:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23744","created_at":"2026-05-25T02:02:29Z"},{"alias_kind":"pith_short_12","alias_value":"ZYZBTUNAIOKK","created_at":"2026-05-25T02:02:29Z"},{"alias_kind":"pith_short_16","alias_value":"ZYZBTUNAIOKKC6VO","created_at":"2026-05-25T02:02:29Z"},{"alias_kind":"pith_short_8","alias_value":"ZYZBTUNA","created_at":"2026-05-25T02:02:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:ZYZBTUNAIOKKC6VOY272MT24RA","target":"record","payload":{"canonical_record":{"source":{"id":"2605.23744","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-22T15:18:53Z","cross_cats_sorted":[],"title_canon_sha256":"82f547d4de53bc860796239ad8884de2adfcbfc5147bbea107f4341afd99e329","abstract_canon_sha256":"fa04dbd8673751dd584f4d37c02882ecf6dcef2fac23cca6626194c8f644d5a9"},"schema_version":"1.0"},"canonical_sha256":"ce3219d1a04394a17aaec6bfa64f5c882f328ded9c2a9984fc5f6db040eb25ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-25T02:02:29.724270Z","signature_b64":"waFguZwv+jYV0C8BCcouaWMBownGRvq+yZWmpJEvYyXIfuojJhB24NniiM0QdeyB0+l2j3DAQtvqf8P/s4DEBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ce3219d1a04394a17aaec6bfa64f5c882f328ded9c2a9984fc5f6db040eb25ec","last_reissued_at":"2026-05-25T02:02:29.723553Z","signature_status":"signed_v1","first_computed_at":"2026-05-25T02:02:29.723553Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.23744","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-25T02:02:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DVhn2DXfRsVbSz5rZ4FRKUgoRvMHtDqHlvxD0uS6mdhTAtFyDbd546q1R4nJuzU0pvc9bt5dC/6hkswFnnXPCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T18:39:46.381721Z"},"content_sha256":"4777daec9b59cc5c32f1d3fa0fa04163bfebfd06c45b1f716782e64d78f7ffea","schema_version":"1.0","event_id":"sha256:4777daec9b59cc5c32f1d3fa0fa04163bfebfd06c45b1f716782e64d78f7ffea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:ZYZBTUNAIOKKC6VOY272MT24RA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Jin Zheng, John Cartlidge, Yunhua Pei, Zixing Song","submitted_at":"2026-05-22T15:18:53Z","abstract_excerpt":"Anomaly detection in multivariate time series (MTS) is hindered by dynamic inter-variable dependencies and feature entanglement under spectral noise, and in practice, is further complicated by the absence of anomaly labels. Existing reconstruction-based detectors tend to recover anomalies as faithfully as normal patterns, while prevailing graph contrastive methods enforce invariance across views and thus assume a stationary relational structure, an assumption that breaks under structural drift in real systems. We propose ContrastAD, an unsupervised framework that turns structural evolution its"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23744","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.23744/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-25T02:02:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xhPyqY10emZf72swt/gzdXC2AZcirH8PwQuajTQwE8RdRwO6Bvw1CtBGBVz8AyzCEbAvj6OqIqvNlhJ7Ua8fCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T18:39:46.382457Z"},"content_sha256":"f95472014a1ac350ac98fc72297bfec2f98d52e0bc715b02d48b4a94757e8058","schema_version":"1.0","event_id":"sha256:f95472014a1ac350ac98fc72297bfec2f98d52e0bc715b02d48b4a94757e8058"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZYZBTUNAIOKKC6VOY272MT24RA/bundle.json","state_url":"https://pith.science/pith/ZYZBTUNAIOKKC6VOY272MT24RA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZYZBTUNAIOKKC6VOY272MT24RA/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-26T18:39:46Z","links":{"resolver":"https://pith.science/pith/ZYZBTUNAIOKKC6VOY272MT24RA","bundle":"https://pith.science/pith/ZYZBTUNAIOKKC6VOY272MT24RA/bundle.json","state":"https://pith.science/pith/ZYZBTUNAIOKKC6VOY272MT24RA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZYZBTUNAIOKKC6VOY272MT24RA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZYZBTUNAIOKKC6VOY272MT24RA","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":"fa04dbd8673751dd584f4d37c02882ecf6dcef2fac23cca6626194c8f644d5a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-22T15:18:53Z","title_canon_sha256":"82f547d4de53bc860796239ad8884de2adfcbfc5147bbea107f4341afd99e329"},"schema_version":"1.0","source":{"id":"2605.23744","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23744","created_at":"2026-05-25T02:02:29Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23744v1","created_at":"2026-05-25T02:02:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23744","created_at":"2026-05-25T02:02:29Z"},{"alias_kind":"pith_short_12","alias_value":"ZYZBTUNAIOKK","created_at":"2026-05-25T02:02:29Z"},{"alias_kind":"pith_short_16","alias_value":"ZYZBTUNAIOKKC6VO","created_at":"2026-05-25T02:02:29Z"},{"alias_kind":"pith_short_8","alias_value":"ZYZBTUNA","created_at":"2026-05-25T02:02:29Z"}],"graph_snapshots":[{"event_id":"sha256:f95472014a1ac350ac98fc72297bfec2f98d52e0bc715b02d48b4a94757e8058","target":"graph","created_at":"2026-05-25T02:02:29Z","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/2605.23744/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Anomaly detection in multivariate time series (MTS) is hindered by dynamic inter-variable dependencies and feature entanglement under spectral noise, and in practice, is further complicated by the absence of anomaly labels. Existing reconstruction-based detectors tend to recover anomalies as faithfully as normal patterns, while prevailing graph contrastive methods enforce invariance across views and thus assume a stationary relational structure, an assumption that breaks under structural drift in real systems. We propose ContrastAD, an unsupervised framework that turns structural evolution its","authors_text":"Jin Zheng, John Cartlidge, Yunhua Pei, Zixing Song","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-22T15:18:53Z","title":"Contrast to Detect: Dynamic Graph Contrastive Regularization for Unsupervised Anomaly Detection in Multivariate Time Series"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23744","kind":"arxiv","version":1},"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":"sha256:4777daec9b59cc5c32f1d3fa0fa04163bfebfd06c45b1f716782e64d78f7ffea","target":"record","created_at":"2026-05-25T02:02:29Z","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":"fa04dbd8673751dd584f4d37c02882ecf6dcef2fac23cca6626194c8f644d5a9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-22T15:18:53Z","title_canon_sha256":"82f547d4de53bc860796239ad8884de2adfcbfc5147bbea107f4341afd99e329"},"schema_version":"1.0","source":{"id":"2605.23744","kind":"arxiv","version":1}},"canonical_sha256":"ce3219d1a04394a17aaec6bfa64f5c882f328ded9c2a9984fc5f6db040eb25ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ce3219d1a04394a17aaec6bfa64f5c882f328ded9c2a9984fc5f6db040eb25ec","first_computed_at":"2026-05-25T02:02:29.723553Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:02:29.723553Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"waFguZwv+jYV0C8BCcouaWMBownGRvq+yZWmpJEvYyXIfuojJhB24NniiM0QdeyB0+l2j3DAQtvqf8P/s4DEBQ==","signature_status":"signed_v1","signed_at":"2026-05-25T02:02:29.724270Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.23744","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4777daec9b59cc5c32f1d3fa0fa04163bfebfd06c45b1f716782e64d78f7ffea","sha256:f95472014a1ac350ac98fc72297bfec2f98d52e0bc715b02d48b4a94757e8058"],"state_sha256":"ab8eaaea23831f75298aec2514feefc2bcdde061238bfa672f0a85e068a45008"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"14d+MfKwfqRIx5TCONfOZ5y4GxSakivDh9uNGcW/l6ji4zy0O/ZBvNGlY4oqRpMJPdo/CTpxPXn+DYFLU5RTCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T18:39:46.386124Z","bundle_sha256":"1551cc6c52d5240795a1c0d1ed339a15854b023bad07dbfebd88ed88e9afec73"}}