{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:I6UJZUAQ2BXKW7I6ORDXV4OAMS","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":"5556e75be0faf80436dcdeae531afdd173b680e183161fe33f3bcf3bcef72c66","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T15:29:45Z","title_canon_sha256":"7aae70fb912ddb74bae6c6c806530173b2199968e5bb885433958f5ee6ab4369"},"schema_version":"1.0","source":{"id":"2606.12215","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12215","created_at":"2026-06-11T01:10:54Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12215v1","created_at":"2026-06-11T01:10:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12215","created_at":"2026-06-11T01:10:54Z"},{"alias_kind":"pith_short_12","alias_value":"I6UJZUAQ2BXK","created_at":"2026-06-11T01:10:54Z"},{"alias_kind":"pith_short_16","alias_value":"I6UJZUAQ2BXKW7I6","created_at":"2026-06-11T01:10:54Z"},{"alias_kind":"pith_short_8","alias_value":"I6UJZUAQ","created_at":"2026-06-11T01:10:54Z"}],"graph_snapshots":[{"event_id":"sha256:4b8b0d1064bbcc090417734c83ec1d9aef52b9daf55fc3d69dd4a1d3ee455b6f","target":"graph","created_at":"2026-06-11T01:10:54Z","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/2606.12215/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The explosive growth of user-generated video content on online platforms is accompanied by the emergence of numerous near-duplicate videos--videos that are identical or highly similar but differ by partial edits. These duplicates degrade user experience and increase storage and bandwidth costs, making large-scale video deduplication a critical task. Existing video deduplication frameworks face a fundamental challenge in retrieving sufficient high-quality candidates under a limited index budget, as well as trade-offs between efficiency and precision. To address these issues, we propose MLT-Dedu","authors_text":"David Yuchen Wang, Hailun Xu, Hao Hei, Haoying Li, Kanchan Sarkar, Kun Xu, Sanjay Saha, Wei Chee Yew, Zirui Zhu","cross_cats":["cs.IR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T15:29:45Z","title":"MLT-Dedup: Efficient Large-Scale Online Video Deduplication via Multi-Level Representations and Spatial-Temporal Matching"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12215","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:c2a85917be93b822688d1098ce880542ba367d82c9748d071211af61bc2a191f","target":"record","created_at":"2026-06-11T01:10:54Z","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":"5556e75be0faf80436dcdeae531afdd173b680e183161fe33f3bcf3bcef72c66","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-10T15:29:45Z","title_canon_sha256":"7aae70fb912ddb74bae6c6c806530173b2199968e5bb885433958f5ee6ab4369"},"schema_version":"1.0","source":{"id":"2606.12215","kind":"arxiv","version":1}},"canonical_sha256":"47a89cd010d06eab7d1e74477af1c06492254fff72106dbd548edd85763ad4fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"47a89cd010d06eab7d1e74477af1c06492254fff72106dbd548edd85763ad4fd","first_computed_at":"2026-06-11T01:10:54.811472Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T01:10:54.811472Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"M5W/luKlOyfqH8uoNwweNoD9hqAaw5enFB0pB04eV/eEeRnLbi2lZ6DohUOQxeHQxJX82QBMAk9lf/zlDyyMAg==","signature_status":"signed_v1","signed_at":"2026-06-11T01:10:54.812412Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.12215","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c2a85917be93b822688d1098ce880542ba367d82c9748d071211af61bc2a191f","sha256:4b8b0d1064bbcc090417734c83ec1d9aef52b9daf55fc3d69dd4a1d3ee455b6f"],"state_sha256":"78096f757d7c68bed55a2d595e206d8aba0eab07b7e0d561eb76cd1abdb5f65c"}