{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:YV7YJM4QBALBRF5Q4TAQURZF5N","short_pith_number":"pith:YV7YJM4Q","canonical_record":{"source":{"id":"2106.06593","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-11T19:53:34Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"6bc34be71d5a12d8e906163ccec3ba2992af3b27567b6e0fffa5f9adee1d6970","abstract_canon_sha256":"375e3d17766db8fd00cd910ba0467c46347495ac4220b6c4a036b8c0e30072bb"},"schema_version":"1.0"},"canonical_sha256":"c57f84b39008161897b0e4c10a4725eb7818a5c0e8a935596d7d44dee7e6fab4","source":{"kind":"arxiv","id":"2106.06593","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.06593","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"arxiv_version","alias_value":"2106.06593v1","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.06593","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"pith_short_12","alias_value":"YV7YJM4QBALB","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"pith_short_16","alias_value":"YV7YJM4QBALBRF5Q","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"pith_short_8","alias_value":"YV7YJM4Q","created_at":"2026-07-05T02:48:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:YV7YJM4QBALBRF5Q4TAQURZF5N","target":"record","payload":{"canonical_record":{"source":{"id":"2106.06593","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-11T19:53:34Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"6bc34be71d5a12d8e906163ccec3ba2992af3b27567b6e0fffa5f9adee1d6970","abstract_canon_sha256":"375e3d17766db8fd00cd910ba0467c46347495ac4220b6c4a036b8c0e30072bb"},"schema_version":"1.0"},"canonical_sha256":"c57f84b39008161897b0e4c10a4725eb7818a5c0e8a935596d7d44dee7e6fab4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:48:39.390521Z","signature_b64":"aPQRuSghtQhQ54C45DryxF584lthAHptCTiEg/5kOz6Fo/T4If/Y8p61PotXmreVXN9WhgTQ3VwG9qy+v9maDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c57f84b39008161897b0e4c10a4725eb7818a5c0e8a935596d7d44dee7e6fab4","last_reissued_at":"2026-07-05T02:48:39.389890Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:48:39.389890Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.06593","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:48:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kr8FOvE4EIo6DnH7GsLrO/QZakSPuKQI3o1bqz19rVt0EQzVzvx35ncJzFWcCy94IIzDyN7HZk446dQUd1Z3CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T12:45:05.489644Z"},"content_sha256":"a6bdc0c40a1113377b8fe416157f1c6c0c1ecf84dbc062150eb6e84f75593328","schema_version":"1.0","event_id":"sha256:a6bdc0c40a1113377b8fe416157f1c6c0c1ecf84dbc062150eb6e84f75593328"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:YV7YJM4QBALBRF5Q4TAQURZF5N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Toward Accurate and Realistic Outfits Visualization with Attention to Details","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Jeffrey Zhang, Jingen Liu, Kedan Li, Min Jin Chong","submitted_at":"2021-06-11T19:53:34Z","abstract_excerpt":"Virtual try-on methods aim to generate images of fashion models wearing arbitrary combinations of garments. This is a challenging task because the generated image must appear realistic and accurately display the interaction between garments. Prior works produce images that are filled with artifacts and fail to capture important visual details necessary for commercial applications. We propose Outfit Visualization Net (OVNet) to capture these important details (e.g. buttons, shading, textures, realistic hemlines, and interactions between garments) and produce high quality multiple-garment virtua"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.06593","kind":"arxiv","version":1},"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/2106.06593/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":"2026-07-05T02:48:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BFblcEmG/u9OWCeOdhyr5/XeRQouowNw/U7opHP1cfDE6MVsS+o1oB5PRY24lvxhmgkCS0R2fM18J+DQ6LknCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T12:45:05.490140Z"},"content_sha256":"c247931d3cf50c119a3786316f42e7117a3db28b2ce0698ba5b124bbdd60892c","schema_version":"1.0","event_id":"sha256:c247931d3cf50c119a3786316f42e7117a3db28b2ce0698ba5b124bbdd60892c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YV7YJM4QBALBRF5Q4TAQURZF5N/bundle.json","state_url":"https://pith.science/pith/YV7YJM4QBALBRF5Q4TAQURZF5N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YV7YJM4QBALBRF5Q4TAQURZF5N/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":"2026-08-01T12:45:05Z","links":{"resolver":"https://pith.science/pith/YV7YJM4QBALBRF5Q4TAQURZF5N","bundle":"https://pith.science/pith/YV7YJM4QBALBRF5Q4TAQURZF5N/bundle.json","state":"https://pith.science/pith/YV7YJM4QBALBRF5Q4TAQURZF5N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YV7YJM4QBALBRF5Q4TAQURZF5N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:YV7YJM4QBALBRF5Q4TAQURZF5N","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":"375e3d17766db8fd00cd910ba0467c46347495ac4220b6c4a036b8c0e30072bb","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-11T19:53:34Z","title_canon_sha256":"6bc34be71d5a12d8e906163ccec3ba2992af3b27567b6e0fffa5f9adee1d6970"},"schema_version":"1.0","source":{"id":"2106.06593","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.06593","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"arxiv_version","alias_value":"2106.06593v1","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.06593","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"pith_short_12","alias_value":"YV7YJM4QBALB","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"pith_short_16","alias_value":"YV7YJM4QBALBRF5Q","created_at":"2026-07-05T02:48:39Z"},{"alias_kind":"pith_short_8","alias_value":"YV7YJM4Q","created_at":"2026-07-05T02:48:39Z"}],"graph_snapshots":[{"event_id":"sha256:c247931d3cf50c119a3786316f42e7117a3db28b2ce0698ba5b124bbdd60892c","target":"graph","created_at":"2026-07-05T02:48:39Z","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/2106.06593/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Virtual try-on methods aim to generate images of fashion models wearing arbitrary combinations of garments. This is a challenging task because the generated image must appear realistic and accurately display the interaction between garments. Prior works produce images that are filled with artifacts and fail to capture important visual details necessary for commercial applications. We propose Outfit Visualization Net (OVNet) to capture these important details (e.g. buttons, shading, textures, realistic hemlines, and interactions between garments) and produce high quality multiple-garment virtua","authors_text":"Jeffrey Zhang, Jingen Liu, Kedan Li, Min Jin Chong","cross_cats":["cs.GR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-11T19:53:34Z","title":"Toward Accurate and Realistic Outfits Visualization with Attention to Details"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.06593","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:a6bdc0c40a1113377b8fe416157f1c6c0c1ecf84dbc062150eb6e84f75593328","target":"record","created_at":"2026-07-05T02:48:39Z","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":"375e3d17766db8fd00cd910ba0467c46347495ac4220b6c4a036b8c0e30072bb","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-11T19:53:34Z","title_canon_sha256":"6bc34be71d5a12d8e906163ccec3ba2992af3b27567b6e0fffa5f9adee1d6970"},"schema_version":"1.0","source":{"id":"2106.06593","kind":"arxiv","version":1}},"canonical_sha256":"c57f84b39008161897b0e4c10a4725eb7818a5c0e8a935596d7d44dee7e6fab4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c57f84b39008161897b0e4c10a4725eb7818a5c0e8a935596d7d44dee7e6fab4","first_computed_at":"2026-07-05T02:48:39.389890Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:48:39.389890Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aPQRuSghtQhQ54C45DryxF584lthAHptCTiEg/5kOz6Fo/T4If/Y8p61PotXmreVXN9WhgTQ3VwG9qy+v9maDw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:48:39.390521Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.06593","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a6bdc0c40a1113377b8fe416157f1c6c0c1ecf84dbc062150eb6e84f75593328","sha256:c247931d3cf50c119a3786316f42e7117a3db28b2ce0698ba5b124bbdd60892c"],"state_sha256":"e19b88327cb119de4c1b46014eb16e1fcff28be41362fe2c2135765c40d47f08"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dl7t56cM/RMwiOJdPxwvNhAI+6llLgnyNlY4ibv8RdUaiCYyaUQQ5apIgcMJAUtiWRrHz2DP+YT4T5V77zYFBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T12:45:05.495337Z","bundle_sha256":"6a40b03a7fc709c917d4341c20819d2658ef6ca823d8f665f18670c1d546e8b0"}}