{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:JFXNRFCPVTLDJLKAXJ7ULBAGGZ","short_pith_number":"pith:JFXNRFCP","canonical_record":{"source":{"id":"2406.10484","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-15T03:28:52Z","cross_cats_sorted":[],"title_canon_sha256":"018f68801de48ba4599c6429c070217a44cd0aee6f3b303cfd4b2cd337b8d361","abstract_canon_sha256":"b2053b245155fb118c7ac7e89d69aca2927dda7b0ffba69e6d5251d3e3d4fdbf"},"schema_version":"1.0"},"canonical_sha256":"496ed8944facd634ad40ba7f4584063663e38fd6abe6aa329ab133b876766342","source":{"kind":"arxiv","id":"2406.10484","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.10484","created_at":"2026-07-05T09:12:28Z"},{"alias_kind":"arxiv_version","alias_value":"2406.10484v2","created_at":"2026-07-05T09:12:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.10484","created_at":"2026-07-05T09:12:28Z"},{"alias_kind":"pith_short_12","alias_value":"JFXNRFCPVTLD","created_at":"2026-07-05T09:12:28Z"},{"alias_kind":"pith_short_16","alias_value":"JFXNRFCPVTLDJLKA","created_at":"2026-07-05T09:12:28Z"},{"alias_kind":"pith_short_8","alias_value":"JFXNRFCP","created_at":"2026-07-05T09:12:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:JFXNRFCPVTLDJLKAXJ7ULBAGGZ","target":"record","payload":{"canonical_record":{"source":{"id":"2406.10484","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-15T03:28:52Z","cross_cats_sorted":[],"title_canon_sha256":"018f68801de48ba4599c6429c070217a44cd0aee6f3b303cfd4b2cd337b8d361","abstract_canon_sha256":"b2053b245155fb118c7ac7e89d69aca2927dda7b0ffba69e6d5251d3e3d4fdbf"},"schema_version":"1.0"},"canonical_sha256":"496ed8944facd634ad40ba7f4584063663e38fd6abe6aa329ab133b876766342","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:12:28.987875Z","signature_b64":"a8PmWz1bWJ2xfOKEIjAEzZG0mmFnnqRaOR8FwhWCSsRYj311vHfjQHH+a7m/O229ycsllw/raEK8HrQ7Pc2bBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"496ed8944facd634ad40ba7f4584063663e38fd6abe6aa329ab133b876766342","last_reissued_at":"2026-07-05T09:12:28.987293Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:12:28.987293Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.10484","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":"2026-07-05T09:12:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ffuLCffRtytkh+7+C8XmnEdkwVHwz3xPBADsG7aGa/mghiK6f5zKrYrzNbBwLhsZMhyvmQwwKjnmMd0+FMCsBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:47:00.354353Z"},"content_sha256":"12100aa17afb428a5ce2222c9f137634cfcb64bd00f71e5f964ab05db2581ff6","schema_version":"1.0","event_id":"sha256:12100aa17afb428a5ce2222c9f137634cfcb64bd00f71e5f964ab05db2581ff6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:JFXNRFCPVTLDJLKAXJ7ULBAGGZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chia-Wen Kuo, Chunyuan Li, Dawei Du, Fan Chen, Guang Chen, Longyin Wen, Lu Xu, Sijie Zhu, Xinyao Wang, Ye Yuan","submitted_at":"2024-06-15T03:28:52Z","abstract_excerpt":"The emerging video LMMs (Large Multimodal Models) have achieved significant improvements on generic video understanding in the form of VQA (Visual Question Answering), where the raw videos are captured by cameras. However, a large portion of videos in real-world applications are edited videos, \\textit{e.g.}, users usually cut and add effects/modifications to the raw video before publishing it on social media platforms. The edited videos usually have high view counts but they are not covered in existing benchmarks of video LMMs, \\textit{i.e.}, ActivityNet-QA, or VideoChatGPT benchmark. In this "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.10484","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/2406.10484/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":"2026-07-05T09:12:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pzsr38z9Z9rssnW33qbnYkC5xjOVxZOJv8PcWOVEkyJWKRhlQK49qIn1mp/IdE1+knKZFVpWWSLaJgBp2sJ8Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:47:00.354996Z"},"content_sha256":"5fe0e8d18d32db8696e25ad434fd47b2e277b464c435b87f969a5d504b24b236","schema_version":"1.0","event_id":"sha256:5fe0e8d18d32db8696e25ad434fd47b2e277b464c435b87f969a5d504b24b236"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JFXNRFCPVTLDJLKAXJ7ULBAGGZ/bundle.json","state_url":"https://pith.science/pith/JFXNRFCPVTLDJLKAXJ7ULBAGGZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JFXNRFCPVTLDJLKAXJ7ULBAGGZ/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":"2026-07-09T05:47:00Z","links":{"resolver":"https://pith.science/pith/JFXNRFCPVTLDJLKAXJ7ULBAGGZ","bundle":"https://pith.science/pith/JFXNRFCPVTLDJLKAXJ7ULBAGGZ/bundle.json","state":"https://pith.science/pith/JFXNRFCPVTLDJLKAXJ7ULBAGGZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JFXNRFCPVTLDJLKAXJ7ULBAGGZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JFXNRFCPVTLDJLKAXJ7ULBAGGZ","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":"b2053b245155fb118c7ac7e89d69aca2927dda7b0ffba69e6d5251d3e3d4fdbf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-15T03:28:52Z","title_canon_sha256":"018f68801de48ba4599c6429c070217a44cd0aee6f3b303cfd4b2cd337b8d361"},"schema_version":"1.0","source":{"id":"2406.10484","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.10484","created_at":"2026-07-05T09:12:28Z"},{"alias_kind":"arxiv_version","alias_value":"2406.10484v2","created_at":"2026-07-05T09:12:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.10484","created_at":"2026-07-05T09:12:28Z"},{"alias_kind":"pith_short_12","alias_value":"JFXNRFCPVTLD","created_at":"2026-07-05T09:12:28Z"},{"alias_kind":"pith_short_16","alias_value":"JFXNRFCPVTLDJLKA","created_at":"2026-07-05T09:12:28Z"},{"alias_kind":"pith_short_8","alias_value":"JFXNRFCP","created_at":"2026-07-05T09:12:28Z"}],"graph_snapshots":[{"event_id":"sha256:5fe0e8d18d32db8696e25ad434fd47b2e277b464c435b87f969a5d504b24b236","target":"graph","created_at":"2026-07-05T09:12:28Z","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/2406.10484/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The emerging video LMMs (Large Multimodal Models) have achieved significant improvements on generic video understanding in the form of VQA (Visual Question Answering), where the raw videos are captured by cameras. However, a large portion of videos in real-world applications are edited videos, \\textit{e.g.}, users usually cut and add effects/modifications to the raw video before publishing it on social media platforms. The edited videos usually have high view counts but they are not covered in existing benchmarks of video LMMs, \\textit{i.e.}, ActivityNet-QA, or VideoChatGPT benchmark. In this ","authors_text":"Chia-Wen Kuo, Chunyuan Li, Dawei Du, Fan Chen, Guang Chen, Longyin Wen, Lu Xu, Sijie Zhu, Xinyao Wang, Ye Yuan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-15T03:28:52Z","title":"Beyond Raw Videos: Understanding Edited Videos with Large Multimodal Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.10484","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":"sha256:12100aa17afb428a5ce2222c9f137634cfcb64bd00f71e5f964ab05db2581ff6","target":"record","created_at":"2026-07-05T09:12:28Z","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":"b2053b245155fb118c7ac7e89d69aca2927dda7b0ffba69e6d5251d3e3d4fdbf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-15T03:28:52Z","title_canon_sha256":"018f68801de48ba4599c6429c070217a44cd0aee6f3b303cfd4b2cd337b8d361"},"schema_version":"1.0","source":{"id":"2406.10484","kind":"arxiv","version":2}},"canonical_sha256":"496ed8944facd634ad40ba7f4584063663e38fd6abe6aa329ab133b876766342","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"496ed8944facd634ad40ba7f4584063663e38fd6abe6aa329ab133b876766342","first_computed_at":"2026-07-05T09:12:28.987293Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:12:28.987293Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a8PmWz1bWJ2xfOKEIjAEzZG0mmFnnqRaOR8FwhWCSsRYj311vHfjQHH+a7m/O229ycsllw/raEK8HrQ7Pc2bBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:12:28.987875Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.10484","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:12100aa17afb428a5ce2222c9f137634cfcb64bd00f71e5f964ab05db2581ff6","sha256:5fe0e8d18d32db8696e25ad434fd47b2e277b464c435b87f969a5d504b24b236"],"state_sha256":"4b306cae47c8c6da3ffe5b60c5b76e8e9f40b629fa8fa81915f6196de9b7fbee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1stzGrstNoPyhWdFuKfGk40IhfsnC0OnM8EJJTVmICKPDavA37Ou3b7VxWcbzA1cgD2H2lDE0qEWXGcDt/GFDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T05:47:00.358796Z","bundle_sha256":"e5d5faf4627633e1b1b1781eca7e24daf2450ecbe4e8bbe8468f3388552cce18"}}