{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HDBZFPER5IZ7PZW4PUE7HNN5HT","short_pith_number":"pith:HDBZFPER","canonical_record":{"source":{"id":"2505.13123","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T13:51:57Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"239a09eaa181dc1d63f8ebce7a04a48653b216d1b59138419061ca2689707307","abstract_canon_sha256":"d3c0d75dcec104207c7b0c36da9bf643bd22c92c7f208e8231c88d3a1e56e51c"},"schema_version":"1.0"},"canonical_sha256":"38c392bc91ea33f7e6dc7d09f3b5bd3ccb9d42027a4b51ed347fff17cfba4b57","source":{"kind":"arxiv","id":"2505.13123","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.13123","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"arxiv_version","alias_value":"2505.13123v1","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13123","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"pith_short_12","alias_value":"HDBZFPER5IZ7","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"pith_short_16","alias_value":"HDBZFPER5IZ7PZW4","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"pith_short_8","alias_value":"HDBZFPER","created_at":"2026-07-05T11:05:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HDBZFPER5IZ7PZW4PUE7HNN5HT","target":"record","payload":{"canonical_record":{"source":{"id":"2505.13123","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T13:51:57Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"239a09eaa181dc1d63f8ebce7a04a48653b216d1b59138419061ca2689707307","abstract_canon_sha256":"d3c0d75dcec104207c7b0c36da9bf643bd22c92c7f208e8231c88d3a1e56e51c"},"schema_version":"1.0"},"canonical_sha256":"38c392bc91ea33f7e6dc7d09f3b5bd3ccb9d42027a4b51ed347fff17cfba4b57","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:05:25.514836Z","signature_b64":"C+fqgGRuoN2oClRwfhgzKNRe/8IvnTUtMEGEJ1b/S5rTzv4RL9jVKH0Z3PAXX/eMhLEDBNRCVBTY4aaC50fXCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"38c392bc91ea33f7e6dc7d09f3b5bd3ccb9d42027a4b51ed347fff17cfba4b57","last_reissued_at":"2026-07-05T11:05:25.514398Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:05:25.514398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.13123","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":"2026-07-05T11:05:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TdGdztrJk6hAryZRtxJtFOIhi+Lwh+08DdiEiKov9/775TRs57cGOCG8DFTtPxD8gEbNjIgcRuiMaWrIms8ACQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T05:09:58.336295Z"},"content_sha256":"2107b402bbf182d03033d15bfe11f6ea0a9639d2b9aca34eb1eec258d722271c","schema_version":"1.0","event_id":"sha256:2107b402bbf182d03033d15bfe11f6ea0a9639d2b9aca34eb1eec258d722271c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HDBZFPER5IZ7PZW4PUE7HNN5HT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Just Dance with $\\pi$! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Antitza Dantcheva, Egor Bondarev, Francois Bremond, Giacomo D'Amicantonio, Gianpiero Francesca, Lorenzo Garattoni, Quan Kong, Snehashis Majhi","submitted_at":"2025-05-19T13:51:57Z","abstract_excerpt":"Weakly-supervised methods for video anomaly detection (VAD) are conventionally based merely on RGB spatio-temporal features, which continues to limit their reliability in real-world scenarios. This is due to the fact that RGB-features are not sufficiently distinctive in setting apart categories such as shoplifting from visually similar events. Therefore, towards robust complex real-world VAD, it is essential to augment RGB spatio-temporal features by additional modalities. Motivated by this, we introduce the Poly-modal Induced framework for VAD: \"PI-VAD\", a novel approach that augments RGB rep"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13123","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/2505.13123/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":"2026-07-05T11:05:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ml50bQlGfDtZsuDOczRW8uIusJ0wymnQgtsrojC4izZdxsEa01BNHYl16jBanxzfsS3F/UOWTQdwQKDCpIqsBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T05:09:58.336834Z"},"content_sha256":"3c213e0aca1fe28730734fc35c0ed6620ca7d3e72159f129ed3a827fbadd0f98","schema_version":"1.0","event_id":"sha256:3c213e0aca1fe28730734fc35c0ed6620ca7d3e72159f129ed3a827fbadd0f98"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HDBZFPER5IZ7PZW4PUE7HNN5HT/bundle.json","state_url":"https://pith.science/pith/HDBZFPER5IZ7PZW4PUE7HNN5HT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HDBZFPER5IZ7PZW4PUE7HNN5HT/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":"2026-08-18T05:09:58Z","links":{"resolver":"https://pith.science/pith/HDBZFPER5IZ7PZW4PUE7HNN5HT","bundle":"https://pith.science/pith/HDBZFPER5IZ7PZW4PUE7HNN5HT/bundle.json","state":"https://pith.science/pith/HDBZFPER5IZ7PZW4PUE7HNN5HT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HDBZFPER5IZ7PZW4PUE7HNN5HT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HDBZFPER5IZ7PZW4PUE7HNN5HT","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":"d3c0d75dcec104207c7b0c36da9bf643bd22c92c7f208e8231c88d3a1e56e51c","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T13:51:57Z","title_canon_sha256":"239a09eaa181dc1d63f8ebce7a04a48653b216d1b59138419061ca2689707307"},"schema_version":"1.0","source":{"id":"2505.13123","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.13123","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"arxiv_version","alias_value":"2505.13123v1","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13123","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"pith_short_12","alias_value":"HDBZFPER5IZ7","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"pith_short_16","alias_value":"HDBZFPER5IZ7PZW4","created_at":"2026-07-05T11:05:25Z"},{"alias_kind":"pith_short_8","alias_value":"HDBZFPER","created_at":"2026-07-05T11:05:25Z"}],"graph_snapshots":[{"event_id":"sha256:3c213e0aca1fe28730734fc35c0ed6620ca7d3e72159f129ed3a827fbadd0f98","target":"graph","created_at":"2026-07-05T11:05:25Z","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/2505.13123/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Weakly-supervised methods for video anomaly detection (VAD) are conventionally based merely on RGB spatio-temporal features, which continues to limit their reliability in real-world scenarios. This is due to the fact that RGB-features are not sufficiently distinctive in setting apart categories such as shoplifting from visually similar events. Therefore, towards robust complex real-world VAD, it is essential to augment RGB spatio-temporal features by additional modalities. Motivated by this, we introduce the Poly-modal Induced framework for VAD: \"PI-VAD\", a novel approach that augments RGB rep","authors_text":"Antitza Dantcheva, Egor Bondarev, Francois Bremond, Giacomo D'Amicantonio, Gianpiero Francesca, Lorenzo Garattoni, Quan Kong, Snehashis Majhi","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T13:51:57Z","title":"Just Dance with $\\pi$! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13123","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":"sha256:2107b402bbf182d03033d15bfe11f6ea0a9639d2b9aca34eb1eec258d722271c","target":"record","created_at":"2026-07-05T11:05:25Z","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":"d3c0d75dcec104207c7b0c36da9bf643bd22c92c7f208e8231c88d3a1e56e51c","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-19T13:51:57Z","title_canon_sha256":"239a09eaa181dc1d63f8ebce7a04a48653b216d1b59138419061ca2689707307"},"schema_version":"1.0","source":{"id":"2505.13123","kind":"arxiv","version":1}},"canonical_sha256":"38c392bc91ea33f7e6dc7d09f3b5bd3ccb9d42027a4b51ed347fff17cfba4b57","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"38c392bc91ea33f7e6dc7d09f3b5bd3ccb9d42027a4b51ed347fff17cfba4b57","first_computed_at":"2026-07-05T11:05:25.514398Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:05:25.514398Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C+fqgGRuoN2oClRwfhgzKNRe/8IvnTUtMEGEJ1b/S5rTzv4RL9jVKH0Z3PAXX/eMhLEDBNRCVBTY4aaC50fXCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:05:25.514836Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.13123","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2107b402bbf182d03033d15bfe11f6ea0a9639d2b9aca34eb1eec258d722271c","sha256:3c213e0aca1fe28730734fc35c0ed6620ca7d3e72159f129ed3a827fbadd0f98"],"state_sha256":"a1d41e7065177b78ee800d4f40b557c6d11cc258c1f54e68c4b7868863eb1bf4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cgTBmjGzkR9KvAB84ahILCthjQvXi0DbZ+673HVFpKLc6AvvNG2frRO5yYqoFGTaEUu0LwD9DaIYpUpNEWw6DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T05:09:58.341774Z","bundle_sha256":"12b20a3294366ec642a90a5c978d565ebc17cf7c97c246052310861aaa60fda8"}}