{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:RBOCU4QUZ3RUBI3GPFRFOQ22KZ","short_pith_number":"pith:RBOCU4QU","schema_version":"1.0","canonical_sha256":"885c2a7214cee340a366796257435a564f14e86e8eb65d3abf2954c052a8ada0","source":{"kind":"arxiv","id":"2607.00622","version":1},"attestation_state":"computed","paper":{"title":"Learning to Watch: Active Video Anomaly Understanding via Interleaved Policy Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiaxu Leng, Mengjingcheng Mo, Xinbo Gao","submitted_at":"2026-07-01T08:41:49Z","abstract_excerpt":"Video anomaly understanding (VAU) relies on sparse, context-dependent cues. However, existing passive paradigms suffer from observational aliasing, where static sampling fails to disambiguate semantically distinct events. To overcome this, we propose $Anom\\text{-}\\pi$, a closed-loop framework that reconceptualizes video understanding as an active sequential decision-making process within a dynamic environment. Inspired by human video-reviewing behavior, this framework unifies internal cognitive reasoning and strategic evidence acquisition into an interleaved policy, utilizing temporal atomic o"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.00622","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-01T08:41:49Z","cross_cats_sorted":[],"title_canon_sha256":"f2b6e06493f6b261b8743f74e6165e38ee1d724b881516a3f9aa437ffd0c6795","abstract_canon_sha256":"06683af9e297d6dd7726a9ea004b1b74f5f60c965cad24def245dad9506c1f87"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T01:17:49.488961Z","signature_b64":"R7U4vsw0cFRAaTLZXqIsTIjAOv24c+HaBBPU72o8zQKMLvrbwMk41xHGwJVrHf9grD0E/o55jyivR1SABzeCBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"885c2a7214cee340a366796257435a564f14e86e8eb65d3abf2954c052a8ada0","last_reissued_at":"2026-07-02T01:17:49.488486Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T01:17:49.488486Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Learning to Watch: Active Video Anomaly Understanding via Interleaved Policy Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiaxu Leng, Mengjingcheng Mo, Xinbo Gao","submitted_at":"2026-07-01T08:41:49Z","abstract_excerpt":"Video anomaly understanding (VAU) relies on sparse, context-dependent cues. However, existing passive paradigms suffer from observational aliasing, where static sampling fails to disambiguate semantically distinct events. To overcome this, we propose $Anom\\text{-}\\pi$, a closed-loop framework that reconceptualizes video understanding as an active sequential decision-making process within a dynamic environment. Inspired by human video-reviewing behavior, this framework unifies internal cognitive reasoning and strategic evidence acquisition into an interleaved policy, utilizing temporal atomic o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00622","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/2607.00622/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.00622","created_at":"2026-07-02T01:17:49.488542+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.00622v1","created_at":"2026-07-02T01:17:49.488542+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00622","created_at":"2026-07-02T01:17:49.488542+00:00"},{"alias_kind":"pith_short_12","alias_value":"RBOCU4QUZ3RU","created_at":"2026-07-02T01:17:49.488542+00:00"},{"alias_kind":"pith_short_16","alias_value":"RBOCU4QUZ3RUBI3G","created_at":"2026-07-02T01:17:49.488542+00:00"},{"alias_kind":"pith_short_8","alias_value":"RBOCU4QU","created_at":"2026-07-02T01:17:49.488542+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/RBOCU4QUZ3RUBI3GPFRFOQ22KZ","json":"https://pith.science/pith/RBOCU4QUZ3RUBI3GPFRFOQ22KZ.json","graph_json":"https://pith.science/api/pith-number/RBOCU4QUZ3RUBI3GPFRFOQ22KZ/graph.json","events_json":"https://pith.science/api/pith-number/RBOCU4QUZ3RUBI3GPFRFOQ22KZ/events.json","paper":"https://pith.science/paper/RBOCU4QU"},"agent_actions":{"view_html":"https://pith.science/pith/RBOCU4QUZ3RUBI3GPFRFOQ22KZ","download_json":"https://pith.science/pith/RBOCU4QUZ3RUBI3GPFRFOQ22KZ.json","view_paper":"https://pith.science/paper/RBOCU4QU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.00622&json=true","fetch_graph":"https://pith.science/api/pith-number/RBOCU4QUZ3RUBI3GPFRFOQ22KZ/graph.json","fetch_events":"https://pith.science/api/pith-number/RBOCU4QUZ3RUBI3GPFRFOQ22KZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RBOCU4QUZ3RUBI3GPFRFOQ22KZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RBOCU4QUZ3RUBI3GPFRFOQ22KZ/action/storage_attestation","attest_author":"https://pith.science/pith/RBOCU4QUZ3RUBI3GPFRFOQ22KZ/action/author_attestation","sign_citation":"https://pith.science/pith/RBOCU4QUZ3RUBI3GPFRFOQ22KZ/action/citation_signature","submit_replication":"https://pith.science/pith/RBOCU4QUZ3RUBI3GPFRFOQ22KZ/action/replication_record"}},"created_at":"2026-07-02T01:17:49.488542+00:00","updated_at":"2026-07-02T01:17:49.488542+00:00"}