{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:3USNXXPPSHXWHS6KYVSZZCBTGF","short_pith_number":"pith:3USNXXPP","canonical_record":{"source":{"id":"2211.05299","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-10T02:27:30Z","cross_cats_sorted":[],"title_canon_sha256":"fc95f6015a1ff07ddfd82cf3719e4d65e266a0aae414b00aab5edcfd4a4cf141","abstract_canon_sha256":"2cc8735c1f88f6d0e86b44abb5009a1f62951ebb9dbcf22a9224cff6b75836c4"},"schema_version":"1.0"},"canonical_sha256":"dd24dbddef91ef63cbcac5659c88333178131391fe5b8c76b8cfc0a8bcea8a9d","source":{"kind":"arxiv","id":"2211.05299","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.05299","created_at":"2026-07-05T05:15:03Z"},{"alias_kind":"arxiv_version","alias_value":"2211.05299v1","created_at":"2026-07-05T05:15:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.05299","created_at":"2026-07-05T05:15:03Z"},{"alias_kind":"pith_short_12","alias_value":"3USNXXPPSHXW","created_at":"2026-07-05T05:15:03Z"},{"alias_kind":"pith_short_16","alias_value":"3USNXXPPSHXWHS6K","created_at":"2026-07-05T05:15:03Z"},{"alias_kind":"pith_short_8","alias_value":"3USNXXPP","created_at":"2026-07-05T05:15:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:3USNXXPPSHXWHS6KYVSZZCBTGF","target":"record","payload":{"canonical_record":{"source":{"id":"2211.05299","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-10T02:27:30Z","cross_cats_sorted":[],"title_canon_sha256":"fc95f6015a1ff07ddfd82cf3719e4d65e266a0aae414b00aab5edcfd4a4cf141","abstract_canon_sha256":"2cc8735c1f88f6d0e86b44abb5009a1f62951ebb9dbcf22a9224cff6b75836c4"},"schema_version":"1.0"},"canonical_sha256":"dd24dbddef91ef63cbcac5659c88333178131391fe5b8c76b8cfc0a8bcea8a9d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:15:03.109910Z","signature_b64":"ZMTXp2vF7sQ9qj/9BuYijTdihWhhccSBV/tIRy73NS61Dd8S5/bx4Q+UvNJCRSgAeWZJPrfCq9m7amaJC+KPCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd24dbddef91ef63cbcac5659c88333178131391fe5b8c76b8cfc0a8bcea8a9d","last_reissued_at":"2026-07-05T05:15:03.109572Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:15:03.109572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.05299","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":"2026-07-05T05:15:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zs7wXXa69HKqvjm52XTTbJEV+XhslasLeJsroUjnPoAxQxIGc7+dOYkyhxvIbfEY0SVI40IEB5G7ZhI55OuCBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:32:47.039385Z"},"content_sha256":"166fca485a38d27247e391bf991ce55c15b497ff4cbcb75f8feefbbcefa2618f","schema_version":"1.0","event_id":"sha256:166fca485a38d27247e391bf991ce55c15b497ff4cbcb75f8feefbbcefa2618f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:3USNXXPPSHXWHS6KYVSZZCBTGF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Prior-enhanced Temporal Action Localization using Subject-aware Spatial Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haoqian Wang, Ning Zhang, Ruei-Sung Lin, Yifan Liu, Youbao Tang","submitted_at":"2022-11-10T02:27:30Z","abstract_excerpt":"Temporal action localization (TAL) aims to detect the boundary and identify the class of each action instance in a long untrimmed video. Current approaches treat video frames homogeneously, and tend to give background and key objects excessive attention. This limits their sensitivity to localize action boundaries. To this end, we propose a prior-enhanced temporal action localization method (PETAL), which only takes in RGB input and incorporates action subjects as priors. This proposal leverages action subjects' information with a plug-and-play subject-aware spatial attention module (SA-SAM) to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.05299","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/2211.05299/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":"2026-07-05T05:15:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YtlimPsqrCXdJvfpOfXGWQcDGFiHGr7mmhkSWIdPl1MEsqAz92eu/W4UeH6wzEvRJ7ylALQlRsnddrKbF1NhCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T10:32:47.039906Z"},"content_sha256":"32a8913ac527879f4cc038aa06ef3f97757dfdea2823db7f5894a17aeaf7e2b9","schema_version":"1.0","event_id":"sha256:32a8913ac527879f4cc038aa06ef3f97757dfdea2823db7f5894a17aeaf7e2b9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3USNXXPPSHXWHS6KYVSZZCBTGF/bundle.json","state_url":"https://pith.science/pith/3USNXXPPSHXWHS6KYVSZZCBTGF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3USNXXPPSHXWHS6KYVSZZCBTGF/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":"2026-07-07T10:32:47Z","links":{"resolver":"https://pith.science/pith/3USNXXPPSHXWHS6KYVSZZCBTGF","bundle":"https://pith.science/pith/3USNXXPPSHXWHS6KYVSZZCBTGF/bundle.json","state":"https://pith.science/pith/3USNXXPPSHXWHS6KYVSZZCBTGF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3USNXXPPSHXWHS6KYVSZZCBTGF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:3USNXXPPSHXWHS6KYVSZZCBTGF","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":"2cc8735c1f88f6d0e86b44abb5009a1f62951ebb9dbcf22a9224cff6b75836c4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-10T02:27:30Z","title_canon_sha256":"fc95f6015a1ff07ddfd82cf3719e4d65e266a0aae414b00aab5edcfd4a4cf141"},"schema_version":"1.0","source":{"id":"2211.05299","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.05299","created_at":"2026-07-05T05:15:03Z"},{"alias_kind":"arxiv_version","alias_value":"2211.05299v1","created_at":"2026-07-05T05:15:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.05299","created_at":"2026-07-05T05:15:03Z"},{"alias_kind":"pith_short_12","alias_value":"3USNXXPPSHXW","created_at":"2026-07-05T05:15:03Z"},{"alias_kind":"pith_short_16","alias_value":"3USNXXPPSHXWHS6K","created_at":"2026-07-05T05:15:03Z"},{"alias_kind":"pith_short_8","alias_value":"3USNXXPP","created_at":"2026-07-05T05:15:03Z"}],"graph_snapshots":[{"event_id":"sha256:32a8913ac527879f4cc038aa06ef3f97757dfdea2823db7f5894a17aeaf7e2b9","target":"graph","created_at":"2026-07-05T05:15:03Z","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/2211.05299/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Temporal action localization (TAL) aims to detect the boundary and identify the class of each action instance in a long untrimmed video. Current approaches treat video frames homogeneously, and tend to give background and key objects excessive attention. This limits their sensitivity to localize action boundaries. To this end, we propose a prior-enhanced temporal action localization method (PETAL), which only takes in RGB input and incorporates action subjects as priors. This proposal leverages action subjects' information with a plug-and-play subject-aware spatial attention module (SA-SAM) to","authors_text":"Haoqian Wang, Ning Zhang, Ruei-Sung Lin, Yifan Liu, Youbao Tang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-10T02:27:30Z","title":"Prior-enhanced Temporal Action Localization using Subject-aware Spatial Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.05299","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":"sha256:166fca485a38d27247e391bf991ce55c15b497ff4cbcb75f8feefbbcefa2618f","target":"record","created_at":"2026-07-05T05:15:03Z","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":"2cc8735c1f88f6d0e86b44abb5009a1f62951ebb9dbcf22a9224cff6b75836c4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-10T02:27:30Z","title_canon_sha256":"fc95f6015a1ff07ddfd82cf3719e4d65e266a0aae414b00aab5edcfd4a4cf141"},"schema_version":"1.0","source":{"id":"2211.05299","kind":"arxiv","version":1}},"canonical_sha256":"dd24dbddef91ef63cbcac5659c88333178131391fe5b8c76b8cfc0a8bcea8a9d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd24dbddef91ef63cbcac5659c88333178131391fe5b8c76b8cfc0a8bcea8a9d","first_computed_at":"2026-07-05T05:15:03.109572Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:15:03.109572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZMTXp2vF7sQ9qj/9BuYijTdihWhhccSBV/tIRy73NS61Dd8S5/bx4Q+UvNJCRSgAeWZJPrfCq9m7amaJC+KPCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:15:03.109910Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.05299","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:166fca485a38d27247e391bf991ce55c15b497ff4cbcb75f8feefbbcefa2618f","sha256:32a8913ac527879f4cc038aa06ef3f97757dfdea2823db7f5894a17aeaf7e2b9"],"state_sha256":"e8405f30e6eac21e5bae6d207979c6a5d5f7299c4eb2067f6fa76b7a3f9341da"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cCzqNms45GxZjhPKXGdR9vaSny5/krcReG1jo3aXO+okFN34zq2t+UgMUcML+1hlptvXrD5jw7frAgnzsoVwCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T10:32:47.042099Z","bundle_sha256":"bba118191dfae7909dd3460e79a67fb103dee1e847734b8878fec08afc78408f"}}