{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JPIGIFYLDHPLUM7JI4R2QRHTQL","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":"ab3e2247a8b0f6563ea08259a5c5eab96ac0853909a13655d9b5efc48d4bf35f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-17T16:59:04Z","title_canon_sha256":"93e2c5fc06c7204c6777bfa5d920dcb012641b964f4b8b0321b19d7a0c373041"},"schema_version":"1.0","source":{"id":"2504.13092","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.13092","created_at":"2026-07-05T11:44:04Z"},{"alias_kind":"arxiv_version","alias_value":"2504.13092v3","created_at":"2026-07-05T11:44:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.13092","created_at":"2026-07-05T11:44:04Z"},{"alias_kind":"pith_short_12","alias_value":"JPIGIFYLDHPL","created_at":"2026-07-05T11:44:04Z"},{"alias_kind":"pith_short_16","alias_value":"JPIGIFYLDHPLUM7J","created_at":"2026-07-05T11:44:04Z"},{"alias_kind":"pith_short_8","alias_value":"JPIGIFYL","created_at":"2026-07-05T11:44:04Z"}],"graph_snapshots":[{"event_id":"sha256:4a341a6be7352176b023ed4ba58bd7e0403ccaca58cb4e277e8fe50486537127","target":"graph","created_at":"2026-07-05T11:44:04Z","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/2504.13092/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Video Anomaly Detection~(VAD) focuses on identifying anomalies within videos. Supervised methods require an amount of in-domain training data and often struggle to generalize to unseen anomalies. In contrast, training-free methods leverage the intrinsic world knowledge of large language models (LLMs) to detect anomalies but face challenges in localizing fine-grained visual transitions and diverse events. Therefore, we propose EventVAD, an event-aware video anomaly detection framework that combines tailored dynamic graph architectures and multimodal LLMs through temporal-event reasoning. Specif","authors_text":"Ao Ma, Fanhu Zeng, Haojin He, Hao Tang, Muyang Zhang, Shuyan Li, Sijie Li, Siyu Chen, Xiaochen Wang, Xinwei Long, Yan Wang, Yihua Shao, Yuxuan Fan, Ziyang Yan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-17T16:59:04Z","title":"EventVAD: Training-Free Event-Aware Video Anomaly Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.13092","kind":"arxiv","version":3},"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":"sha256:9d4f28e101942c4a3834855667b8322858011cb55e059b3086fcaf9cdc2b1b1f","target":"record","created_at":"2026-07-05T11:44:04Z","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":"ab3e2247a8b0f6563ea08259a5c5eab96ac0853909a13655d9b5efc48d4bf35f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-17T16:59:04Z","title_canon_sha256":"93e2c5fc06c7204c6777bfa5d920dcb012641b964f4b8b0321b19d7a0c373041"},"schema_version":"1.0","source":{"id":"2504.13092","kind":"arxiv","version":3}},"canonical_sha256":"4bd064170b19deba33e94723a844f382eec9b5e7633ab85f15fa84750a881ce3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4bd064170b19deba33e94723a844f382eec9b5e7633ab85f15fa84750a881ce3","first_computed_at":"2026-07-05T11:44:04.306975Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:04.306975Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ec/IPmz4sYx25i4968eDcDaRIY5j7d34srkWWR1M30a9rfAvIxpZ9bwY2sS27bMIFn0NOaFF6E3ZLBriKzQCDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:04.307511Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.13092","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9d4f28e101942c4a3834855667b8322858011cb55e059b3086fcaf9cdc2b1b1f","sha256:4a341a6be7352176b023ed4ba58bd7e0403ccaca58cb4e277e8fe50486537127"],"state_sha256":"4a513d14acfdd43c5d29d8f883412106b067f7c25f1ce5f53125364df9d32a63"}