{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:GG3VMBVJCG5SRWWARSUAFPFURA","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":"da6d4c6c55a570e73100ea0e2adbe67ca02be4392128d29a815b179a8e730606","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-04T07:36:48Z","title_canon_sha256":"d155b25edca3d7e0898cb48332e8aa875061113090f48a6b5d4a278979d6efdf"},"schema_version":"1.0","source":{"id":"2307.01533","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.01533","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"arxiv_version","alias_value":"2307.01533v2","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.01533","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"pith_short_12","alias_value":"GG3VMBVJCG5S","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"GG3VMBVJCG5SRWWA","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"GG3VMBVJ","created_at":"2026-07-05T06:32:40Z"}],"graph_snapshots":[{"event_id":"sha256:d56bc1de6e40d0fe44b7d0784af60fcba45c2f57ae1726b16b79752656e4c44a","target":"graph","created_at":"2026-07-05T06:32:40Z","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/2307.01533/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper aims to address the unsupervised video anomaly detection (VAD) problem, which involves classifying each frame in a video as normal or abnormal, without any access to labels. To accomplish this, the proposed method employs conditional diffusion models, where the input data is the spatiotemporal features extracted from a pre-trained network, and the condition is the features extracted from compact motion representations that summarize a given video segment in terms of its motion and appearance. Our method utilizes a data-driven threshold and considers a high reconstruction error as an","authors_text":"Anil Osman Tur, Cigdem Beyan, Elisa Ricci, Nicola Dall'Asen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-04T07:36:48Z","title":"Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.01533","kind":"arxiv","version":2},"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:c4f8696a4788010f8750562cecf9f3d28192db052366040ee158ac7621787781","target":"record","created_at":"2026-07-05T06:32:40Z","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":"da6d4c6c55a570e73100ea0e2adbe67ca02be4392128d29a815b179a8e730606","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-07-04T07:36:48Z","title_canon_sha256":"d155b25edca3d7e0898cb48332e8aa875061113090f48a6b5d4a278979d6efdf"},"schema_version":"1.0","source":{"id":"2307.01533","kind":"arxiv","version":2}},"canonical_sha256":"31b75606a911bb28dac08ca802bcb48826f2dae1d0669431fcfcf1a09262cdc7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"31b75606a911bb28dac08ca802bcb48826f2dae1d0669431fcfcf1a09262cdc7","first_computed_at":"2026-07-05T06:32:40.117948Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:32:40.117948Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3Htq7eMY2+HkYGVLvFMZFnleLmaIXq2IZSEpFk1Crs4PWPBz5IPKpimzgTFWQkSxCtzMH2Zo3o8A834nDPWDAg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:32:40.118492Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.01533","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c4f8696a4788010f8750562cecf9f3d28192db052366040ee158ac7621787781","sha256:d56bc1de6e40d0fe44b7d0784af60fcba45c2f57ae1726b16b79752656e4c44a"],"state_sha256":"d199fe2ea2afdcf87290929f4a2a35bda8a7351bc8f614cd8cd5d34d3b8353da"}