{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JEYWRT6EU3NZEPBWPTVE7H2Q5O","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":"c27692c97bb913c9084fdcabd4120e956f4205b81c27ee9889f6ecdcebcaceb4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-24T21:36:49Z","title_canon_sha256":"0edcf40b619eeb8e4b331d3b0787a26b6a26a118f3f506cb40e2031690e560b2"},"schema_version":"1.0","source":{"id":"2505.18880","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.18880","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"arxiv_version","alias_value":"2505.18880v1","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.18880","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"pith_short_12","alias_value":"JEYWRT6EU3NZ","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"pith_short_16","alias_value":"JEYWRT6EU3NZEPBW","created_at":"2026-07-05T11:09:21Z"},{"alias_kind":"pith_short_8","alias_value":"JEYWRT6E","created_at":"2026-07-05T11:09:21Z"}],"graph_snapshots":[{"event_id":"sha256:09caa082d4302b20ce3267de0a6492c553a14ded1be1613212c4638784912bde","target":"graph","created_at":"2026-07-05T11:09:21Z","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/2505.18880/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Short videos are an effective tool for promoting contents and improving knowledge accessibility. While existing extractive video summarization methods struggle to produce a coherent narrative, existing abstractive methods cannot `quote' from the input videos, i.e., inserting short video clips in their outputs. In this work, we explore novel video editing models for generating shorts that feature a coherent narrative with embedded video insertions extracted from a long input video. We propose a novel retrieval-embedded generation framework that allows a large language model to quote multimodal ","authors_text":"Hao-Wen Dong, Jingyue Huang, Julian McAuley, Paul Pu Liang, Taylor Berg-Kirkpatrick, Weihan Xu, Wenye Ma, Yang Li, Yimeng Ma","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-24T21:36:49Z","title":"REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.18880","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:b5321eee2a5bd537fd90f831d5e0733e4755ebc3a8373a61d90c712da13c902c","target":"record","created_at":"2026-07-05T11:09:21Z","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":"c27692c97bb913c9084fdcabd4120e956f4205b81c27ee9889f6ecdcebcaceb4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-24T21:36:49Z","title_canon_sha256":"0edcf40b619eeb8e4b331d3b0787a26b6a26a118f3f506cb40e2031690e560b2"},"schema_version":"1.0","source":{"id":"2505.18880","kind":"arxiv","version":1}},"canonical_sha256":"493168cfc4a6db923c367cea4f9f50eb8d2c7d751acd17139fab737510485868","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"493168cfc4a6db923c367cea4f9f50eb8d2c7d751acd17139fab737510485868","first_computed_at":"2026-07-05T11:09:21.178277Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:09:21.178277Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BonN7j7MSwVZhCDOQjV2tCdpwLDiSNvulOe6NLHnFQrkL9W58bL6xQw8+d1RP0jml7BfM+f1KWZDjOb5TuxpBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:09:21.178764Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.18880","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b5321eee2a5bd537fd90f831d5e0733e4755ebc3a8373a61d90c712da13c902c","sha256:09caa082d4302b20ce3267de0a6492c553a14ded1be1613212c4638784912bde"],"state_sha256":"d52b4e213615c850aaaa6309878eafae6a6abdd48d60892e0d422eb064de2d12"}