{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:LEOXLPGLSBLEIWWUNXLH7JRAHF","short_pith_number":"pith:LEOXLPGL","schema_version":"1.0","canonical_sha256":"591d75bccb9056445ad46dd67fa620394885517d0218f5e2023450f3d7b1b4cd","source":{"kind":"arxiv","id":"2505.17555","version":1},"attestation_state":"computed","paper":{"title":"ProTAL: A Drag-and-Link Video Programming Framework for Temporal Action Localization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.HC","authors_text":"Dazhen Deng, Jianbing Lv, Lingyu Meng, Liqi Cheng, Yingcai Wu, Yuchen He","submitted_at":"2025-05-23T07:00:59Z","abstract_excerpt":"Temporal Action Localization (TAL) aims to detect the start and end timestamps of actions in a video. However, the training of TAL models requires a substantial amount of manually annotated data. Data programming is an efficient method to create training labels with a series of human-defined labeling functions. However, its application in TAL faces difficulties of defining complex actions in the context of temporal video frames. In this paper, we propose ProTAL, a drag-and-link video programming framework for TAL. ProTAL enables users to define \\textbf{key events} by dragging nodes representin"},"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":"2505.17555","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2025-05-23T07:00:59Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"173d853d3b239882f457d316f5b9f17b387827e0953d3fdb765301db4574bc1a","abstract_canon_sha256":"19934c8e68c46712cc7083c67f346bb49ef14e9547e6fde2db4b0ed836b1f6c2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:08:28.133230Z","signature_b64":"KUHFoMjYfvMBQ++MQRUim2xL4eCTcySJhkYqfw3nKBhG7ZFVPrgeJFgtDXI7aNRAf2QX3NV3IFCMt0WpQkTcBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"591d75bccb9056445ad46dd67fa620394885517d0218f5e2023450f3d7b1b4cd","last_reissued_at":"2026-07-05T11:08:28.132731Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:08:28.132731Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ProTAL: A Drag-and-Link Video Programming Framework for Temporal Action Localization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.HC","authors_text":"Dazhen Deng, Jianbing Lv, Lingyu Meng, Liqi Cheng, Yingcai Wu, Yuchen He","submitted_at":"2025-05-23T07:00:59Z","abstract_excerpt":"Temporal Action Localization (TAL) aims to detect the start and end timestamps of actions in a video. However, the training of TAL models requires a substantial amount of manually annotated data. Data programming is an efficient method to create training labels with a series of human-defined labeling functions. However, its application in TAL faces difficulties of defining complex actions in the context of temporal video frames. In this paper, we propose ProTAL, a drag-and-link video programming framework for TAL. ProTAL enables users to define \\textbf{key events} by dragging nodes representin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17555","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/2505.17555/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":"2505.17555","created_at":"2026-07-05T11:08:28.132790+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.17555v1","created_at":"2026-07-05T11:08:28.132790+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17555","created_at":"2026-07-05T11:08:28.132790+00:00"},{"alias_kind":"pith_short_12","alias_value":"LEOXLPGLSBLE","created_at":"2026-07-05T11:08:28.132790+00:00"},{"alias_kind":"pith_short_16","alias_value":"LEOXLPGLSBLEIWWU","created_at":"2026-07-05T11:08:28.132790+00:00"},{"alias_kind":"pith_short_8","alias_value":"LEOXLPGL","created_at":"2026-07-05T11:08:28.132790+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/LEOXLPGLSBLEIWWUNXLH7JRAHF","json":"https://pith.science/pith/LEOXLPGLSBLEIWWUNXLH7JRAHF.json","graph_json":"https://pith.science/api/pith-number/LEOXLPGLSBLEIWWUNXLH7JRAHF/graph.json","events_json":"https://pith.science/api/pith-number/LEOXLPGLSBLEIWWUNXLH7JRAHF/events.json","paper":"https://pith.science/paper/LEOXLPGL"},"agent_actions":{"view_html":"https://pith.science/pith/LEOXLPGLSBLEIWWUNXLH7JRAHF","download_json":"https://pith.science/pith/LEOXLPGLSBLEIWWUNXLH7JRAHF.json","view_paper":"https://pith.science/paper/LEOXLPGL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.17555&json=true","fetch_graph":"https://pith.science/api/pith-number/LEOXLPGLSBLEIWWUNXLH7JRAHF/graph.json","fetch_events":"https://pith.science/api/pith-number/LEOXLPGLSBLEIWWUNXLH7JRAHF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LEOXLPGLSBLEIWWUNXLH7JRAHF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LEOXLPGLSBLEIWWUNXLH7JRAHF/action/storage_attestation","attest_author":"https://pith.science/pith/LEOXLPGLSBLEIWWUNXLH7JRAHF/action/author_attestation","sign_citation":"https://pith.science/pith/LEOXLPGLSBLEIWWUNXLH7JRAHF/action/citation_signature","submit_replication":"https://pith.science/pith/LEOXLPGLSBLEIWWUNXLH7JRAHF/action/replication_record"}},"created_at":"2026-07-05T11:08:28.132790+00:00","updated_at":"2026-07-05T11:08:28.132790+00:00"}