{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EHLZSWAKVZKKY2GLBZIL5F53GY","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":"1f7817bf5632f7cde9f4cac24d774932bd8ce58e0ec2f9de8b747955ae680d09","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-10T11:33:34Z","title_canon_sha256":"c7aaeb595fed5ea07199651c0b754d3374b6d42167842bea60d18ec794ac9909"},"schema_version":"1.0","source":{"id":"2406.06187","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.06187","created_at":"2026-07-05T08:29:38Z"},{"alias_kind":"arxiv_version","alias_value":"2406.06187v1","created_at":"2026-07-05T08:29:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.06187","created_at":"2026-07-05T08:29:38Z"},{"alias_kind":"pith_short_12","alias_value":"EHLZSWAKVZKK","created_at":"2026-07-05T08:29:38Z"},{"alias_kind":"pith_short_16","alias_value":"EHLZSWAKVZKKY2GL","created_at":"2026-07-05T08:29:38Z"},{"alias_kind":"pith_short_8","alias_value":"EHLZSWAK","created_at":"2026-07-05T08:29:38Z"}],"graph_snapshots":[{"event_id":"sha256:51f523ec28284424f0f6ed614364e727703baf5bdc28aad57dcb60ccadeaa96b","target":"graph","created_at":"2026-07-05T08:29:38Z","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/2406.06187/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unlike the sparse label action detection task, where a single action occurs in each timestamp of a video, in a dense multi-label scenario, actions can overlap. To address this challenging task, it is necessary to simultaneously learn (i) temporal dependencies and (ii) co-occurrence action relationships. Recent approaches model temporal information by extracting multi-scale features through hierarchical transformer-based networks. However, the self-attention mechanism in transformers inherently loses temporal positional information. We argue that combining this with multiple sub-sampling proces","authors_text":"Adrian Hilton, Armin Mustafa, Faegheh Sardari, Philip J. B. Jackson","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-10T11:33:34Z","title":"An Effective-Efficient Approach for Dense Multi-Label Action Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.06187","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":"sha256:66226e68378ea580d6820940324fa88042a7d6eb3932e2f1b9a094f399954e44","target":"record","created_at":"2026-07-05T08:29:38Z","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":"1f7817bf5632f7cde9f4cac24d774932bd8ce58e0ec2f9de8b747955ae680d09","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-06-10T11:33:34Z","title_canon_sha256":"c7aaeb595fed5ea07199651c0b754d3374b6d42167842bea60d18ec794ac9909"},"schema_version":"1.0","source":{"id":"2406.06187","kind":"arxiv","version":1}},"canonical_sha256":"21d799580aae54ac68cb0e50be97bb3634900716fb2703214d7862a75b0dcb65","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"21d799580aae54ac68cb0e50be97bb3634900716fb2703214d7862a75b0dcb65","first_computed_at":"2026-07-05T08:29:38.952339Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:29:38.952339Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7mCDZCA9gMsp9xIcfxbNkahaBLadRNfLyWcYu4Kh4INOkU72kOANSNqtLTo2moUrBCRMUT90CNmJ3jiwXWU8Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:29:38.952707Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.06187","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66226e68378ea580d6820940324fa88042a7d6eb3932e2f1b9a094f399954e44","sha256:51f523ec28284424f0f6ed614364e727703baf5bdc28aad57dcb60ccadeaa96b"],"state_sha256":"be758058797b2e7df7e87773c562840639a4493d2598f7e6731d8cf7f5819287"}