{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:JK4CZJUKNVEIDM3VEUYVNJF4RG","short_pith_number":"pith:JK4CZJUK","canonical_record":{"source":{"id":"2404.05595","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T15:14:20Z","cross_cats_sorted":[],"title_canon_sha256":"8d79085f71aa7e92f648c80148bb204f5c8e7caeeb587767739257cf7b76bbf7","abstract_canon_sha256":"f3e39b4303506cdd1721af25db4fc7cce996c98c5a79fd8e3cbdd24bb3e4872b"},"schema_version":"1.0"},"canonical_sha256":"4ab82ca68a6d4881b375253156a4bc89a483770b644006ac9db6e82d9bf7beeb","source":{"kind":"arxiv","id":"2404.05595","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.05595","created_at":"2026-07-05T09:40:38Z"},{"alias_kind":"arxiv_version","alias_value":"2404.05595v3","created_at":"2026-07-05T09:40:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.05595","created_at":"2026-07-05T09:40:38Z"},{"alias_kind":"pith_short_12","alias_value":"JK4CZJUKNVEI","created_at":"2026-07-05T09:40:38Z"},{"alias_kind":"pith_short_16","alias_value":"JK4CZJUKNVEIDM3V","created_at":"2026-07-05T09:40:38Z"},{"alias_kind":"pith_short_8","alias_value":"JK4CZJUK","created_at":"2026-07-05T09:40:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:JK4CZJUKNVEIDM3VEUYVNJF4RG","target":"record","payload":{"canonical_record":{"source":{"id":"2404.05595","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T15:14:20Z","cross_cats_sorted":[],"title_canon_sha256":"8d79085f71aa7e92f648c80148bb204f5c8e7caeeb587767739257cf7b76bbf7","abstract_canon_sha256":"f3e39b4303506cdd1721af25db4fc7cce996c98c5a79fd8e3cbdd24bb3e4872b"},"schema_version":"1.0"},"canonical_sha256":"4ab82ca68a6d4881b375253156a4bc89a483770b644006ac9db6e82d9bf7beeb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:40:38.923929Z","signature_b64":"taixQcb9CHlLGg3LAsOwEE0tZM4JccDMXQ13yViS9IvQUJZCcpWO19boR0uVsPiB60tnxdAFRZJ8nrlhmxjMBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4ab82ca68a6d4881b375253156a4bc89a483770b644006ac9db6e82d9bf7beeb","last_reissued_at":"2026-07-05T09:40:38.923428Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:40:38.923428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.05595","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:40:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p3AZ1qg7MjI9836Br9/b4In5s/jqYsApachoMGe/9kXRSiHLwmuUztCfmQ0UAa54Q3evZA/E2EmivtxQerV8DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T11:48:46.798021Z"},"content_sha256":"04184a148d6466cd88ed86c87ba939e6b85776ee2bb4ad72e13ccc77d6da2419","schema_version":"1.0","event_id":"sha256:04184a148d6466cd88ed86c87ba939e6b85776ee2bb4ad72e13ccc77d6da2419"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:JK4CZJUKNVEIDM3VEUYVNJF4RG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"UniFL: Improve Latent Diffusion Model via Unified Feedback Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guanbin Li, Huafeng Kuang, Jiacheng Zhang, Jiashi Li, Jie Wu, Lean Fu, Pan Xie, Shilei Wen, Weilin Huang, Xin Xia, Xuefeng Xiao, Yuxi Ren","submitted_at":"2024-04-08T15:14:20Z","abstract_excerpt":"Latent diffusion models (LDM) have revolutionized text-to-image generation, leading to the proliferation of various advanced models and diverse downstream applications. However, despite these significant advancements, current diffusion models still suffer from several limitations, including inferior visual quality, inadequate aesthetic appeal, and inefficient inference, without a comprehensive solution in sight. To address these challenges, we present UniFL, a unified framework that leverages feedback learning to enhance diffusion models comprehensively. UniFL stands out as a universal, effect"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.05595","kind":"arxiv","version":3},"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/2404.05595/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":"2026-07-05T09:40:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5fr1nmfIYd9aWmdulV8P0cXkI8FWNxRD6pBL2ZVke+1VYbsAN1TzpAkPioJlISNb+zHVBUojBZFfPfCFmK8yDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T11:48:46.798563Z"},"content_sha256":"1497008a175246977c75516ac659247c865228920ac575760accb77fa7e874e7","schema_version":"1.0","event_id":"sha256:1497008a175246977c75516ac659247c865228920ac575760accb77fa7e874e7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JK4CZJUKNVEIDM3VEUYVNJF4RG/bundle.json","state_url":"https://pith.science/pith/JK4CZJUKNVEIDM3VEUYVNJF4RG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JK4CZJUKNVEIDM3VEUYVNJF4RG/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":"2026-08-06T11:48:46Z","links":{"resolver":"https://pith.science/pith/JK4CZJUKNVEIDM3VEUYVNJF4RG","bundle":"https://pith.science/pith/JK4CZJUKNVEIDM3VEUYVNJF4RG/bundle.json","state":"https://pith.science/pith/JK4CZJUKNVEIDM3VEUYVNJF4RG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JK4CZJUKNVEIDM3VEUYVNJF4RG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JK4CZJUKNVEIDM3VEUYVNJF4RG","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":"f3e39b4303506cdd1721af25db4fc7cce996c98c5a79fd8e3cbdd24bb3e4872b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T15:14:20Z","title_canon_sha256":"8d79085f71aa7e92f648c80148bb204f5c8e7caeeb587767739257cf7b76bbf7"},"schema_version":"1.0","source":{"id":"2404.05595","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.05595","created_at":"2026-07-05T09:40:38Z"},{"alias_kind":"arxiv_version","alias_value":"2404.05595v3","created_at":"2026-07-05T09:40:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.05595","created_at":"2026-07-05T09:40:38Z"},{"alias_kind":"pith_short_12","alias_value":"JK4CZJUKNVEI","created_at":"2026-07-05T09:40:38Z"},{"alias_kind":"pith_short_16","alias_value":"JK4CZJUKNVEIDM3V","created_at":"2026-07-05T09:40:38Z"},{"alias_kind":"pith_short_8","alias_value":"JK4CZJUK","created_at":"2026-07-05T09:40:38Z"}],"graph_snapshots":[{"event_id":"sha256:1497008a175246977c75516ac659247c865228920ac575760accb77fa7e874e7","target":"graph","created_at":"2026-07-05T09:40:38Z","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/2404.05595/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Latent diffusion models (LDM) have revolutionized text-to-image generation, leading to the proliferation of various advanced models and diverse downstream applications. However, despite these significant advancements, current diffusion models still suffer from several limitations, including inferior visual quality, inadequate aesthetic appeal, and inefficient inference, without a comprehensive solution in sight. To address these challenges, we present UniFL, a unified framework that leverages feedback learning to enhance diffusion models comprehensively. UniFL stands out as a universal, effect","authors_text":"Guanbin Li, Huafeng Kuang, Jiacheng Zhang, Jiashi Li, Jie Wu, Lean Fu, Pan Xie, Shilei Wen, Weilin Huang, Xin Xia, Xuefeng Xiao, Yuxi Ren","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T15:14:20Z","title":"UniFL: Improve Latent Diffusion Model via Unified Feedback Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.05595","kind":"arxiv","version":3},"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":"sha256:04184a148d6466cd88ed86c87ba939e6b85776ee2bb4ad72e13ccc77d6da2419","target":"record","created_at":"2026-07-05T09:40:38Z","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":"f3e39b4303506cdd1721af25db4fc7cce996c98c5a79fd8e3cbdd24bb3e4872b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-08T15:14:20Z","title_canon_sha256":"8d79085f71aa7e92f648c80148bb204f5c8e7caeeb587767739257cf7b76bbf7"},"schema_version":"1.0","source":{"id":"2404.05595","kind":"arxiv","version":3}},"canonical_sha256":"4ab82ca68a6d4881b375253156a4bc89a483770b644006ac9db6e82d9bf7beeb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4ab82ca68a6d4881b375253156a4bc89a483770b644006ac9db6e82d9bf7beeb","first_computed_at":"2026-07-05T09:40:38.923428Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:40:38.923428Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"taixQcb9CHlLGg3LAsOwEE0tZM4JccDMXQ13yViS9IvQUJZCcpWO19boR0uVsPiB60tnxdAFRZJ8nrlhmxjMBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:40:38.923929Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.05595","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:04184a148d6466cd88ed86c87ba939e6b85776ee2bb4ad72e13ccc77d6da2419","sha256:1497008a175246977c75516ac659247c865228920ac575760accb77fa7e874e7"],"state_sha256":"78340ac606bf8710e43f5890b5722e71c1c845e1a768388d81cc352febe2b0c0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rs6yJe4MwWTJAb4+8RSwRV5OeTHH1eyDlQXrRVNknfXcoZZprU+v7jGKQAPjRyosRJ3y+7Hxp3aNFWVhF7MzDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T11:48:46.803053Z","bundle_sha256":"a48c96749cacf1d035a1d540ac38e5d8d1b305f5314a7b142eccedb62ae3bd3a"}}