{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:IDB27Q7CGADYV4G6KK36WNFW3Z","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":"dc2d69b4241947f4cb4bab9f0eccdcb17c9dcf21123c197fc8620a9a44105112","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-25T12:13:43Z","title_canon_sha256":"5d402d568ea575e47498770d70cf553d23bd6b44d246bcd55fb5792dd293eb5b"},"schema_version":"1.0","source":{"id":"2203.13609","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.13609","created_at":"2026-07-05T04:08:34Z"},{"alias_kind":"arxiv_version","alias_value":"2203.13609v1","created_at":"2026-07-05T04:08:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.13609","created_at":"2026-07-05T04:08:34Z"},{"alias_kind":"pith_short_12","alias_value":"IDB27Q7CGADY","created_at":"2026-07-05T04:08:34Z"},{"alias_kind":"pith_short_16","alias_value":"IDB27Q7CGADYV4G6","created_at":"2026-07-05T04:08:34Z"},{"alias_kind":"pith_short_8","alias_value":"IDB27Q7C","created_at":"2026-07-05T04:08:34Z"}],"graph_snapshots":[{"event_id":"sha256:636d546702dc83302525c4a76252a0975e4b1d27ae49e7730b1e76723404b713","target":"graph","created_at":"2026-07-05T04:08:34Z","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/2203.13609/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unsupervised video representation learning has made remarkable achievements in recent years. However, most existing methods are designed and optimized for video classification. These pre-trained models can be sub-optimal for temporal localization tasks due to the inherent discrepancy between video-level classification and clip-level localization. To bridge this gap, we make the first attempt to propose a self-supervised pretext task, coined as Pseudo Action Localization (PAL) to Unsupervisedly Pre-train feature encoders for Temporal Action Localization tasks (UP-TAL). Specifically, we first ra","authors_text":"Can Zhang, Jue Wang, Junwu Weng, Meng Cao, Tianyu Yang, Yuexian Zou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-25T12:13:43Z","title":"Unsupervised Pre-training for Temporal Action Localization Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.13609","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":"sha256:1a7cf77f0df9109c7b2c3000e5bdf36e44aa753475384755ba76f6540f421e1f","target":"record","created_at":"2026-07-05T04:08:34Z","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":"dc2d69b4241947f4cb4bab9f0eccdcb17c9dcf21123c197fc8620a9a44105112","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-25T12:13:43Z","title_canon_sha256":"5d402d568ea575e47498770d70cf553d23bd6b44d246bcd55fb5792dd293eb5b"},"schema_version":"1.0","source":{"id":"2203.13609","kind":"arxiv","version":1}},"canonical_sha256":"40c3afc3e230078af0de52b7eb34b6de72a1bacc608ec4cc305c21c221fd0cef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"40c3afc3e230078af0de52b7eb34b6de72a1bacc608ec4cc305c21c221fd0cef","first_computed_at":"2026-07-05T04:08:34.565102Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:08:34.565102Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pC6lHLqFfoTiUB9xJC+zw4VlN9RyAwihifSiH75e+XR/9c/GMvEYZQTi90Bnyfci344wtI2ZlC6Zqoj5Q5XrCA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:08:34.565515Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.13609","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a7cf77f0df9109c7b2c3000e5bdf36e44aa753475384755ba76f6540f421e1f","sha256:636d546702dc83302525c4a76252a0975e4b1d27ae49e7730b1e76723404b713"],"state_sha256":"5f089ef7d1db7a2cce09017afe20ddd7a1526dbfce0dbc1193d257ed9b803696"}