{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:4ZXCQWSEWZHA45R5S5LHXJFEBQ","short_pith_number":"pith:4ZXCQWSE","canonical_record":{"source":{"id":"2107.09609","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-20T16:42:58Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"460dda77544afea9af4161510dc25078d20ffcf91803885e0b98788dde6aaace","abstract_canon_sha256":"d14c65f8ff788f5d09878fd3e2ce43dfa3d9396d66feacd12c4da0bdb636df69"},"schema_version":"1.0"},"canonical_sha256":"e66e285a44b64e0e763d97567ba4a40c06c4a00fff76ccc4f6fb62804e0657a7","source":{"kind":"arxiv","id":"2107.09609","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.09609","created_at":"2026-07-05T03:35:50Z"},{"alias_kind":"arxiv_version","alias_value":"2107.09609v2","created_at":"2026-07-05T03:35:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.09609","created_at":"2026-07-05T03:35:50Z"},{"alias_kind":"pith_short_12","alias_value":"4ZXCQWSEWZHA","created_at":"2026-07-05T03:35:50Z"},{"alias_kind":"pith_short_16","alias_value":"4ZXCQWSEWZHA45R5","created_at":"2026-07-05T03:35:50Z"},{"alias_kind":"pith_short_8","alias_value":"4ZXCQWSE","created_at":"2026-07-05T03:35:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:4ZXCQWSEWZHA45R5S5LHXJFEBQ","target":"record","payload":{"canonical_record":{"source":{"id":"2107.09609","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-20T16:42:58Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"460dda77544afea9af4161510dc25078d20ffcf91803885e0b98788dde6aaace","abstract_canon_sha256":"d14c65f8ff788f5d09878fd3e2ce43dfa3d9396d66feacd12c4da0bdb636df69"},"schema_version":"1.0"},"canonical_sha256":"e66e285a44b64e0e763d97567ba4a40c06c4a00fff76ccc4f6fb62804e0657a7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:35:50.159703Z","signature_b64":"sdaLTzvqDBlaraae0IgauqjfG9krWdps1LijwYd/2EciMJbKmN3wpwirDTJS/qUfTokKGudI99obSeGUwnbNDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e66e285a44b64e0e763d97567ba4a40c06c4a00fff76ccc4f6fb62804e0657a7","last_reissued_at":"2026-07-05T03:35:50.159288Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:35:50.159288Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.09609","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:35:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GQMkcdZisduftteWuMov0U3wg46DeqaYjn/Du+he4lKkiimCq4/fn6FYHqjODSzLhlF/2L7Sxb6HZ0RMoJ2RAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T22:08:50.715062Z"},"content_sha256":"d6485a171c6c83b1857c80b3a655a48aa05e01dcad8dc31fc78aca7c018a3407","schema_version":"1.0","event_id":"sha256:d6485a171c6c83b1857c80b3a655a48aa05e01dcad8dc31fc78aca7c018a3407"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:4ZXCQWSEWZHA45R5S5LHXJFEBQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.CV","authors_text":"Jie Lei, Mohit Bansal, Tamara L. Berg","submitted_at":"2021-07-20T16:42:58Z","abstract_excerpt":"Detecting customized moments and highlights from videos given natural language (NL) user queries is an important but under-studied topic. One of the challenges in pursuing this direction is the lack of annotated data. To address this issue, we present the Query-based Video Highlights (QVHIGHLIGHTS) dataset. It consists of over 10,000 YouTube videos, covering a wide range of topics, from everyday activities and travel in lifestyle vlog videos to social and political activities in news videos. Each video in the dataset is annotated with: (1) a human-written free-form NL query, (2) relevant momen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.09609","kind":"arxiv","version":2},"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/2107.09609/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":"2026-07-05T03:35:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zBCeIPmA/NyJ+TVB1PYWnbmGjQDksxrmXR7rt6wRSqZ2lh1GSk4G441GXmpeh0YCDLcGo2yhzCQcrfaUovdDAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T22:08:50.715714Z"},"content_sha256":"5272ff9c6791b146f816e51ddec21e21d18a4be7daf4b856e2ba3a6e91fbc55f","schema_version":"1.0","event_id":"sha256:5272ff9c6791b146f816e51ddec21e21d18a4be7daf4b856e2ba3a6e91fbc55f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4ZXCQWSEWZHA45R5S5LHXJFEBQ/bundle.json","state_url":"https://pith.science/pith/4ZXCQWSEWZHA45R5S5LHXJFEBQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4ZXCQWSEWZHA45R5S5LHXJFEBQ/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":"2026-08-08T22:08:50Z","links":{"resolver":"https://pith.science/pith/4ZXCQWSEWZHA45R5S5LHXJFEBQ","bundle":"https://pith.science/pith/4ZXCQWSEWZHA45R5S5LHXJFEBQ/bundle.json","state":"https://pith.science/pith/4ZXCQWSEWZHA45R5S5LHXJFEBQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4ZXCQWSEWZHA45R5S5LHXJFEBQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:4ZXCQWSEWZHA45R5S5LHXJFEBQ","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":"d14c65f8ff788f5d09878fd3e2ce43dfa3d9396d66feacd12c4da0bdb636df69","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-20T16:42:58Z","title_canon_sha256":"460dda77544afea9af4161510dc25078d20ffcf91803885e0b98788dde6aaace"},"schema_version":"1.0","source":{"id":"2107.09609","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.09609","created_at":"2026-07-05T03:35:50Z"},{"alias_kind":"arxiv_version","alias_value":"2107.09609v2","created_at":"2026-07-05T03:35:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.09609","created_at":"2026-07-05T03:35:50Z"},{"alias_kind":"pith_short_12","alias_value":"4ZXCQWSEWZHA","created_at":"2026-07-05T03:35:50Z"},{"alias_kind":"pith_short_16","alias_value":"4ZXCQWSEWZHA45R5","created_at":"2026-07-05T03:35:50Z"},{"alias_kind":"pith_short_8","alias_value":"4ZXCQWSE","created_at":"2026-07-05T03:35:50Z"}],"graph_snapshots":[{"event_id":"sha256:5272ff9c6791b146f816e51ddec21e21d18a4be7daf4b856e2ba3a6e91fbc55f","target":"graph","created_at":"2026-07-05T03:35:50Z","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/2107.09609/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detecting customized moments and highlights from videos given natural language (NL) user queries is an important but under-studied topic. One of the challenges in pursuing this direction is the lack of annotated data. To address this issue, we present the Query-based Video Highlights (QVHIGHLIGHTS) dataset. It consists of over 10,000 YouTube videos, covering a wide range of topics, from everyday activities and travel in lifestyle vlog videos to social and political activities in news videos. Each video in the dataset is annotated with: (1) a human-written free-form NL query, (2) relevant momen","authors_text":"Jie Lei, Mohit Bansal, Tamara L. Berg","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-20T16:42:58Z","title":"QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.09609","kind":"arxiv","version":2},"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:d6485a171c6c83b1857c80b3a655a48aa05e01dcad8dc31fc78aca7c018a3407","target":"record","created_at":"2026-07-05T03:35:50Z","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":"d14c65f8ff788f5d09878fd3e2ce43dfa3d9396d66feacd12c4da0bdb636df69","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-20T16:42:58Z","title_canon_sha256":"460dda77544afea9af4161510dc25078d20ffcf91803885e0b98788dde6aaace"},"schema_version":"1.0","source":{"id":"2107.09609","kind":"arxiv","version":2}},"canonical_sha256":"e66e285a44b64e0e763d97567ba4a40c06c4a00fff76ccc4f6fb62804e0657a7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e66e285a44b64e0e763d97567ba4a40c06c4a00fff76ccc4f6fb62804e0657a7","first_computed_at":"2026-07-05T03:35:50.159288Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:35:50.159288Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sdaLTzvqDBlaraae0IgauqjfG9krWdps1LijwYd/2EciMJbKmN3wpwirDTJS/qUfTokKGudI99obSeGUwnbNDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:35:50.159703Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.09609","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6485a171c6c83b1857c80b3a655a48aa05e01dcad8dc31fc78aca7c018a3407","sha256:5272ff9c6791b146f816e51ddec21e21d18a4be7daf4b856e2ba3a6e91fbc55f"],"state_sha256":"ae7408692531c03d62748461551a15d4e9574c04e722d106152e5a755a7c1ab8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WzOCX81EtQLYR4m6gj1C6J34QqFy7NpKfCoPVrlqVhuSl0liSnZ9bLCDEXXASCBQt2Ugnh8ZS5F1QWWZJxcWDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T22:08:50.720068Z","bundle_sha256":"f20612f9c578ea32bc22007fe90db804064cc4617ff15c0891c05a376f26e19b"}}