{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:JNEJZASVY67GJY7AOVNYMHQSEN","short_pith_number":"pith:JNEJZASV","canonical_record":{"source":{"id":"2403.12510","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-19T07:24:54Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"c29285e6f3c09056b57af676d8b7669147054cf528b8df72cc2978d3c6e39266","abstract_canon_sha256":"2208c03cb6a987d4cbaf59323b0673a64a48a5f67d34c9657c75df509e2a3aad"},"schema_version":"1.0"},"canonical_sha256":"4b489c8255c7be64e3e0755b861e1223506c8e6560aadbcc069fc8be3fd5d201","source":{"kind":"arxiv","id":"2403.12510","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.12510","created_at":"2026-07-05T11:40:29Z"},{"alias_kind":"arxiv_version","alias_value":"2403.12510v4","created_at":"2026-07-05T11:40:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.12510","created_at":"2026-07-05T11:40:29Z"},{"alias_kind":"pith_short_12","alias_value":"JNEJZASVY67G","created_at":"2026-07-05T11:40:29Z"},{"alias_kind":"pith_short_16","alias_value":"JNEJZASVY67GJY7A","created_at":"2026-07-05T11:40:29Z"},{"alias_kind":"pith_short_8","alias_value":"JNEJZASV","created_at":"2026-07-05T11:40:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:JNEJZASVY67GJY7AOVNYMHQSEN","target":"record","payload":{"canonical_record":{"source":{"id":"2403.12510","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-19T07:24:54Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"c29285e6f3c09056b57af676d8b7669147054cf528b8df72cc2978d3c6e39266","abstract_canon_sha256":"2208c03cb6a987d4cbaf59323b0673a64a48a5f67d34c9657c75df509e2a3aad"},"schema_version":"1.0"},"canonical_sha256":"4b489c8255c7be64e3e0755b861e1223506c8e6560aadbcc069fc8be3fd5d201","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:40:29.967197Z","signature_b64":"kvfQ0DGzpV7D7v4PXErhlE7bj5KMYDQ7DQZlTYNHZ61GeZ3WJqkerhbEb7v8dI3FQpKTAoAhEv9Gg+ClsRchDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4b489c8255c7be64e3e0755b861e1223506c8e6560aadbcc069fc8be3fd5d201","last_reissued_at":"2026-07-05T11:40:29.966584Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:40:29.966584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.12510","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:40:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oHJh+74rHubV5bQv3YstifuNsEcEEpRc/jfgJ+vetv1yxY0ZEwCCKMOVN4nnuju13kS7UaJ/9fIdXtARlLT9Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:23:49.528878Z"},"content_sha256":"08eecf9c3e3ea4d33d6fdb79655333b624c85593147f7dfda3164a9b6bc6313e","schema_version":"1.0","event_id":"sha256:08eecf9c3e3ea4d33d6fdb79655333b624c85593147f7dfda3164a9b6bc6313e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:JNEJZASVY67GJY7AOVNYMHQSEN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generalized Consistency Trajectory Models for Image Manipulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul Ye","submitted_at":"2024-03-19T07:24:54Z","abstract_excerpt":"Diffusion models (DMs) excel in unconditional generation, as well as on applications such as image editing and restoration. The success of DMs lies in the iterative nature of diffusion: diffusion breaks down the complex process of mapping noise to data into a sequence of simple denoising tasks. Moreover, we are able to exert fine-grained control over the generation process by injecting guidance terms into each denoising step. However, the iterative process is also computationally intensive, often taking from tens up to thousands of function evaluations. Although consistency trajectory models ("},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.12510","kind":"arxiv","version":4},"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/2403.12510/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":"2026-07-05T11:40:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c6baPGeY08forVu2TDm/OLndSz3voUTwfMDVsuSKeQsFOgii37Q0pOX/L38mGZ+X9u4sGU+NeDV/HQ/JUAk8Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:23:49.529387Z"},"content_sha256":"e9f93ed57c2215d774ed073b899cef1e1f8dda8337cd62e8734ace5790622c67","schema_version":"1.0","event_id":"sha256:e9f93ed57c2215d774ed073b899cef1e1f8dda8337cd62e8734ace5790622c67"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JNEJZASVY67GJY7AOVNYMHQSEN/bundle.json","state_url":"https://pith.science/pith/JNEJZASVY67GJY7AOVNYMHQSEN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JNEJZASVY67GJY7AOVNYMHQSEN/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":"2026-08-09T17:23:49Z","links":{"resolver":"https://pith.science/pith/JNEJZASVY67GJY7AOVNYMHQSEN","bundle":"https://pith.science/pith/JNEJZASVY67GJY7AOVNYMHQSEN/bundle.json","state":"https://pith.science/pith/JNEJZASVY67GJY7AOVNYMHQSEN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JNEJZASVY67GJY7AOVNYMHQSEN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JNEJZASVY67GJY7AOVNYMHQSEN","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":"2208c03cb6a987d4cbaf59323b0673a64a48a5f67d34c9657c75df509e2a3aad","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-19T07:24:54Z","title_canon_sha256":"c29285e6f3c09056b57af676d8b7669147054cf528b8df72cc2978d3c6e39266"},"schema_version":"1.0","source":{"id":"2403.12510","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.12510","created_at":"2026-07-05T11:40:29Z"},{"alias_kind":"arxiv_version","alias_value":"2403.12510v4","created_at":"2026-07-05T11:40:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.12510","created_at":"2026-07-05T11:40:29Z"},{"alias_kind":"pith_short_12","alias_value":"JNEJZASVY67G","created_at":"2026-07-05T11:40:29Z"},{"alias_kind":"pith_short_16","alias_value":"JNEJZASVY67GJY7A","created_at":"2026-07-05T11:40:29Z"},{"alias_kind":"pith_short_8","alias_value":"JNEJZASV","created_at":"2026-07-05T11:40:29Z"}],"graph_snapshots":[{"event_id":"sha256:e9f93ed57c2215d774ed073b899cef1e1f8dda8337cd62e8734ace5790622c67","target":"graph","created_at":"2026-07-05T11:40:29Z","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/2403.12510/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models (DMs) excel in unconditional generation, as well as on applications such as image editing and restoration. The success of DMs lies in the iterative nature of diffusion: diffusion breaks down the complex process of mapping noise to data into a sequence of simple denoising tasks. Moreover, we are able to exert fine-grained control over the generation process by injecting guidance terms into each denoising step. However, the iterative process is also computationally intensive, often taking from tens up to thousands of function evaluations. Although consistency trajectory models (","authors_text":"Beomsu Kim, Jaemin Kim, Jeongsol Kim, Jong Chul Ye","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-19T07:24:54Z","title":"Generalized Consistency Trajectory Models for Image Manipulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.12510","kind":"arxiv","version":4},"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":"sha256:08eecf9c3e3ea4d33d6fdb79655333b624c85593147f7dfda3164a9b6bc6313e","target":"record","created_at":"2026-07-05T11:40:29Z","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":"2208c03cb6a987d4cbaf59323b0673a64a48a5f67d34c9657c75df509e2a3aad","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-03-19T07:24:54Z","title_canon_sha256":"c29285e6f3c09056b57af676d8b7669147054cf528b8df72cc2978d3c6e39266"},"schema_version":"1.0","source":{"id":"2403.12510","kind":"arxiv","version":4}},"canonical_sha256":"4b489c8255c7be64e3e0755b861e1223506c8e6560aadbcc069fc8be3fd5d201","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b489c8255c7be64e3e0755b861e1223506c8e6560aadbcc069fc8be3fd5d201","first_computed_at":"2026-07-05T11:40:29.966584Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:40:29.966584Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kvfQ0DGzpV7D7v4PXErhlE7bj5KMYDQ7DQZlTYNHZ61GeZ3WJqkerhbEb7v8dI3FQpKTAoAhEv9Gg+ClsRchDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:40:29.967197Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.12510","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:08eecf9c3e3ea4d33d6fdb79655333b624c85593147f7dfda3164a9b6bc6313e","sha256:e9f93ed57c2215d774ed073b899cef1e1f8dda8337cd62e8734ace5790622c67"],"state_sha256":"1ed34ef2bf40701e711166bae257e10d5b90a83b7f08f8f8cc8091f64cade92e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lJnrjfgPlCNvU1UNwzUi6A+MhD6aJB3OX/teoRBXy4oqQAEwX4MKCvo/3ksHslwTUNrAuIAiGAPy6j2u2C8eCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T17:23:49.534316Z","bundle_sha256":"ff1e71986587621870929608ffd57cce10f22bed2321e8e08a96c1debeb9a6ba"}}