{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:7X57MKO5DPLUKYDFWKW7KTHXMT","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":"123541557746fc210d37e481e6be46c2797b1bd51cbb667eaf8db343b8f42141","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-04T17:31:50Z","title_canon_sha256":"f21516f32725668cc6822ee82e135e488270bb15f9470d4ff4b06a4db0c5b78f"},"schema_version":"1.0","source":{"id":"2307.04787","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.04787","created_at":"2026-07-05T06:29:22Z"},{"alias_kind":"arxiv_version","alias_value":"2307.04787v1","created_at":"2026-07-05T06:29:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.04787","created_at":"2026-07-05T06:29:22Z"},{"alias_kind":"pith_short_12","alias_value":"7X57MKO5DPLU","created_at":"2026-07-05T06:29:22Z"},{"alias_kind":"pith_short_16","alias_value":"7X57MKO5DPLUKYDF","created_at":"2026-07-05T06:29:22Z"},{"alias_kind":"pith_short_8","alias_value":"7X57MKO5","created_at":"2026-07-05T06:29:22Z"}],"graph_snapshots":[{"event_id":"sha256:9307497678698ba629c5701882ae02ee77642141ca7ca293bc5bbf0000d5b9f5","target":"graph","created_at":"2026-07-05T06:29:22Z","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/2307.04787/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative priors of large-scale text-to-image diffusion models enable a wide range of new generation and editing applications on diverse visual modalities. However, when adapting these priors to complex visual modalities, often represented as multiple images (e.g., video), achieving consistency across a set of images is challenging. In this paper, we address this challenge with a novel method, Collaborative Score Distillation (CSD). CSD is based on the Stein Variational Gradient Descent (SVGD). Specifically, we propose to consider multiple samples as \"particles\" in the SVGD update and combine","authors_text":"Jinwoo Shin, Jongheon Jeong, June Suk Choi, Kihyuk Sohn, Kyungmin Lee, Subin Kim","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-04T17:31:50Z","title":"Collaborative Score Distillation for Consistent Visual Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.04787","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":"sha256:2f7e59876c80f56eee050b5dd8914118d06295dc2575fd6c9d3bd506125b8c83","target":"record","created_at":"2026-07-05T06:29:22Z","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":"123541557746fc210d37e481e6be46c2797b1bd51cbb667eaf8db343b8f42141","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-07-04T17:31:50Z","title_canon_sha256":"f21516f32725668cc6822ee82e135e488270bb15f9470d4ff4b06a4db0c5b78f"},"schema_version":"1.0","source":{"id":"2307.04787","kind":"arxiv","version":1}},"canonical_sha256":"fdfbf629dd1bd7456065b2adf54cf764fa7f5bdc479c1c8b00df28864033c63e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fdfbf629dd1bd7456065b2adf54cf764fa7f5bdc479c1c8b00df28864033c63e","first_computed_at":"2026-07-05T06:29:22.175444Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:29:22.175444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+dHhKfoxTTQUH7rLwBZeZS/F8KwoPF7KAPXSUWID1DuCt5caib4BsfbvNJjCovYdGnTfx3InqCwZJNMzY+2yDw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:29:22.175931Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.04787","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2f7e59876c80f56eee050b5dd8914118d06295dc2575fd6c9d3bd506125b8c83","sha256:9307497678698ba629c5701882ae02ee77642141ca7ca293bc5bbf0000d5b9f5"],"state_sha256":"dc42280d963e00890eac9bee2c464739fd64e271e2b874919cc911df26bf494e"}