{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3OBYXDW54ZVCCDCL5XK5YZRS2S","short_pith_number":"pith:3OBYXDW5","canonical_record":{"source":{"id":"2407.15886","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-21T11:58:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9e5ca119dc8d53040c1ab2cda2e1888b134ae90b8a6b816d02164853fbc55a92","abstract_canon_sha256":"bd3f8ef268ad707d2bc18ef43e266ed73112b1d6ef6bc16a2b0e29e5c9a9a9b8"},"schema_version":"1.0"},"canonical_sha256":"db838b8edde66a210c4bedd5dc6632d4b298a4c6d5632c3fe1540df53952e2de","source":{"kind":"arxiv","id":"2407.15886","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15886","created_at":"2026-07-05T10:14:43Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15886v2","created_at":"2026-07-05T10:14:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15886","created_at":"2026-07-05T10:14:43Z"},{"alias_kind":"pith_short_12","alias_value":"3OBYXDW54ZVC","created_at":"2026-07-05T10:14:43Z"},{"alias_kind":"pith_short_16","alias_value":"3OBYXDW54ZVCCDCL","created_at":"2026-07-05T10:14:43Z"},{"alias_kind":"pith_short_8","alias_value":"3OBYXDW5","created_at":"2026-07-05T10:14:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3OBYXDW54ZVCCDCL5XK5YZRS2S","target":"record","payload":{"canonical_record":{"source":{"id":"2407.15886","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-21T11:58:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9e5ca119dc8d53040c1ab2cda2e1888b134ae90b8a6b816d02164853fbc55a92","abstract_canon_sha256":"bd3f8ef268ad707d2bc18ef43e266ed73112b1d6ef6bc16a2b0e29e5c9a9a9b8"},"schema_version":"1.0"},"canonical_sha256":"db838b8edde66a210c4bedd5dc6632d4b298a4c6d5632c3fe1540df53952e2de","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:14:43.722822Z","signature_b64":"HmBtb6qafPtAZYaxP8Oxlj2UH1QmQP00SOmthSBIQhwMdhPjrHin6bx4pcr1hFGeGefIzmx37KVxamlJZqC7AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db838b8edde66a210c4bedd5dc6632d4b298a4c6d5632c3fe1540df53952e2de","last_reissued_at":"2026-07-05T10:14:43.722325Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:14:43.722325Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.15886","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":"2026-07-05T10:14:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EVI9HDG7Cdwvkb5UiF344Ua8uczKwzS8NIuy7yJ7yctLqan+zc6lRiwTwxijeb1/NEBQAlUTaRFzPzxQDqjqCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T00:41:36.215709Z"},"content_sha256":"07d51224c5dc8fd1412a3d801e83bb1156c19d5eff5d22bec46e712a60713e86","schema_version":"1.0","event_id":"sha256:07d51224c5dc8fd1412a3d801e83bb1156c19d5eff5d22bec46e712a60713e86"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3OBYXDW54ZVCCDCL5XK5YZRS2S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Dongmei Jiang, Hanqing Zhao, Haoxiang Li, Shiyue Zhang, Wenqing Zhang, Xiaodan Liang, Xiao Dong, Xujie Zhang, Zheng Chong","submitted_at":"2024-07-21T11:58:53Z","abstract_excerpt":"Virtual try-on methods based on diffusion models achieve realistic effects but often require additional encoding modules, a large number of training parameters, and complex preprocessing, which increases the burden on training and inference. In this work, we re-evaluate the necessity of additional modules and analyze how to improve training efficiency and reduce redundant steps in the inference process. Based on these insights, we propose CatVTON, a simple and efficient virtual try-on diffusion model that transfers in-shop or worn garments of arbitrary categories to target individuals by conca"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15886","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/2407.15886/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":"2026-07-05T10:14:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QZZ2XFYUYOEEQ88DxQ3yFDoTYQKhIYG5eD0188vMFLZrBxDMbm8LPpuxlABgxQB+9f820xG8OYWx2xfdhP+9Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T00:41:36.219202Z"},"content_sha256":"850556bac7ea9cb71f19e82f21347b02b7f23c5738bec9787b5798df1a06d65a","schema_version":"1.0","event_id":"sha256:850556bac7ea9cb71f19e82f21347b02b7f23c5738bec9787b5798df1a06d65a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3OBYXDW54ZVCCDCL5XK5YZRS2S/bundle.json","state_url":"https://pith.science/pith/3OBYXDW54ZVCCDCL5XK5YZRS2S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3OBYXDW54ZVCCDCL5XK5YZRS2S/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":"2026-08-16T00:41:36Z","links":{"resolver":"https://pith.science/pith/3OBYXDW54ZVCCDCL5XK5YZRS2S","bundle":"https://pith.science/pith/3OBYXDW54ZVCCDCL5XK5YZRS2S/bundle.json","state":"https://pith.science/pith/3OBYXDW54ZVCCDCL5XK5YZRS2S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3OBYXDW54ZVCCDCL5XK5YZRS2S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3OBYXDW54ZVCCDCL5XK5YZRS2S","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":"bd3f8ef268ad707d2bc18ef43e266ed73112b1d6ef6bc16a2b0e29e5c9a9a9b8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-21T11:58:53Z","title_canon_sha256":"9e5ca119dc8d53040c1ab2cda2e1888b134ae90b8a6b816d02164853fbc55a92"},"schema_version":"1.0","source":{"id":"2407.15886","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.15886","created_at":"2026-07-05T10:14:43Z"},{"alias_kind":"arxiv_version","alias_value":"2407.15886v2","created_at":"2026-07-05T10:14:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.15886","created_at":"2026-07-05T10:14:43Z"},{"alias_kind":"pith_short_12","alias_value":"3OBYXDW54ZVC","created_at":"2026-07-05T10:14:43Z"},{"alias_kind":"pith_short_16","alias_value":"3OBYXDW54ZVCCDCL","created_at":"2026-07-05T10:14:43Z"},{"alias_kind":"pith_short_8","alias_value":"3OBYXDW5","created_at":"2026-07-05T10:14:43Z"}],"graph_snapshots":[{"event_id":"sha256:850556bac7ea9cb71f19e82f21347b02b7f23c5738bec9787b5798df1a06d65a","target":"graph","created_at":"2026-07-05T10:14:43Z","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/2407.15886/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Virtual try-on methods based on diffusion models achieve realistic effects but often require additional encoding modules, a large number of training parameters, and complex preprocessing, which increases the burden on training and inference. In this work, we re-evaluate the necessity of additional modules and analyze how to improve training efficiency and reduce redundant steps in the inference process. Based on these insights, we propose CatVTON, a simple and efficient virtual try-on diffusion model that transfers in-shop or worn garments of arbitrary categories to target individuals by conca","authors_text":"Dongmei Jiang, Hanqing Zhao, Haoxiang Li, Shiyue Zhang, Wenqing Zhang, Xiaodan Liang, Xiao Dong, Xujie Zhang, Zheng Chong","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-21T11:58:53Z","title":"CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.15886","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":"sha256:07d51224c5dc8fd1412a3d801e83bb1156c19d5eff5d22bec46e712a60713e86","target":"record","created_at":"2026-07-05T10:14:43Z","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":"bd3f8ef268ad707d2bc18ef43e266ed73112b1d6ef6bc16a2b0e29e5c9a9a9b8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-21T11:58:53Z","title_canon_sha256":"9e5ca119dc8d53040c1ab2cda2e1888b134ae90b8a6b816d02164853fbc55a92"},"schema_version":"1.0","source":{"id":"2407.15886","kind":"arxiv","version":2}},"canonical_sha256":"db838b8edde66a210c4bedd5dc6632d4b298a4c6d5632c3fe1540df53952e2de","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"db838b8edde66a210c4bedd5dc6632d4b298a4c6d5632c3fe1540df53952e2de","first_computed_at":"2026-07-05T10:14:43.722325Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:14:43.722325Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HmBtb6qafPtAZYaxP8Oxlj2UH1QmQP00SOmthSBIQhwMdhPjrHin6bx4pcr1hFGeGefIzmx37KVxamlJZqC7AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:14:43.722822Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.15886","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:07d51224c5dc8fd1412a3d801e83bb1156c19d5eff5d22bec46e712a60713e86","sha256:850556bac7ea9cb71f19e82f21347b02b7f23c5738bec9787b5798df1a06d65a"],"state_sha256":"6fd9bec6f9d4e4d28897b4afeea753505ed52cf418ed030f0550c42fe4947985"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YbegXK68foEwEQJ6ovDVI8iW1TaXvMx1ZRZRhD6XEW/ozlZQWafFh37p0f1xPvBIW/2uNbkOIR3/6u9fWg3/Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T00:41:36.237222Z","bundle_sha256":"1fc2a8d0f078e3b4e1f9b4e4f525443d4284e1bcd956838c5112e66335845701"}}