{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:645KGOA3SC7SZFVB3H4ZJCFTX5","short_pith_number":"pith:645KGOA3","canonical_record":{"source":{"id":"2303.17688","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-30T20:02:29Z","cross_cats_sorted":[],"title_canon_sha256":"087b0eafcaeb2c56ad859cb37b1c4701b7a0dd1a2e56f97f1c29eb5109a96a3d","abstract_canon_sha256":"5594cdf0c683c14f9a8455b317116ed40c0b90f1a74675f2a18525624ec9b8cd"},"schema_version":"1.0"},"canonical_sha256":"f73aa3381b90bf2c96a1d9f99488b3bf787bcc928a5b73945ee8086dca8079f7","source":{"kind":"arxiv","id":"2303.17688","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.17688","created_at":"2026-07-05T05:56:44Z"},{"alias_kind":"arxiv_version","alias_value":"2303.17688v1","created_at":"2026-07-05T05:56:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.17688","created_at":"2026-07-05T05:56:44Z"},{"alias_kind":"pith_short_12","alias_value":"645KGOA3SC7S","created_at":"2026-07-05T05:56:44Z"},{"alias_kind":"pith_short_16","alias_value":"645KGOA3SC7SZFVB","created_at":"2026-07-05T05:56:44Z"},{"alias_kind":"pith_short_8","alias_value":"645KGOA3","created_at":"2026-07-05T05:56:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:645KGOA3SC7SZFVB3H4ZJCFTX5","target":"record","payload":{"canonical_record":{"source":{"id":"2303.17688","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-30T20:02:29Z","cross_cats_sorted":[],"title_canon_sha256":"087b0eafcaeb2c56ad859cb37b1c4701b7a0dd1a2e56f97f1c29eb5109a96a3d","abstract_canon_sha256":"5594cdf0c683c14f9a8455b317116ed40c0b90f1a74675f2a18525624ec9b8cd"},"schema_version":"1.0"},"canonical_sha256":"f73aa3381b90bf2c96a1d9f99488b3bf787bcc928a5b73945ee8086dca8079f7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:56:44.080697Z","signature_b64":"QyxZB8Xxo22LgUtG2cDSrcnKwPVa0+GrWWj3r6draNEDsEl4cizzwFUUtmnBPmRkD1xqEIeoiBOljqW4duMvAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f73aa3381b90bf2c96a1d9f99488b3bf787bcc928a5b73945ee8086dca8079f7","last_reissued_at":"2026-07-05T05:56:44.080227Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:56:44.080227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.17688","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":"2026-07-05T05:56:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qbJdITGTdLbGV/CKgBJzPQq/Ydd4wpIksHNW/gp+OrQxjjwni26TbEi7C6RQQdjlL52J5vf9elBRW9nrPGETAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:12:55.005213Z"},"content_sha256":"6e8278fbba71da3abd4e8917152ad1ee1358bbde3834cd56291913d9fb4d7a66","schema_version":"1.0","event_id":"sha256:6e8278fbba71da3abd4e8917152ad1ee1358bbde3834cd56291913d9fb4d7a66"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:645KGOA3SC7SZFVB3H4ZJCFTX5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Garment DensePose for Robust Warping in Virtual Try-On","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aiyu Cui, Antoine Toisoul, Sen He, Tao Xiang","submitted_at":"2023-03-30T20:02:29Z","abstract_excerpt":"Virtual try-on, i.e making people virtually try new garments, is an active research area in computer vision with great commercial applications. Current virtual try-on methods usually work in a two-stage pipeline. First, the garment image is warped on the person's pose using a flow estimation network. Then in the second stage, the warped garment is fused with the person image to render a new try-on image. Unfortunately, such methods are heavily dependent on the quality of the garment warping which often fails when dealing with hard poses (e.g., a person lifting or crossing arms). In this work, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.17688","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/2303.17688/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":"2026-07-05T05:56:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OMwwYfRMaO89Kl66i1VHPMb3hhbUiSHQKLuckrmiXg9G0nVSo6HWADMRB47M5kOMiYqRv9YmVEJOE29CW8M5Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T09:12:55.005716Z"},"content_sha256":"510dc6cf9589d3772be3d806737d39cc4947a99d7e1879962cd7bbd79d8499b0","schema_version":"1.0","event_id":"sha256:510dc6cf9589d3772be3d806737d39cc4947a99d7e1879962cd7bbd79d8499b0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/645KGOA3SC7SZFVB3H4ZJCFTX5/bundle.json","state_url":"https://pith.science/pith/645KGOA3SC7SZFVB3H4ZJCFTX5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/645KGOA3SC7SZFVB3H4ZJCFTX5/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":"2026-08-08T09:12:55Z","links":{"resolver":"https://pith.science/pith/645KGOA3SC7SZFVB3H4ZJCFTX5","bundle":"https://pith.science/pith/645KGOA3SC7SZFVB3H4ZJCFTX5/bundle.json","state":"https://pith.science/pith/645KGOA3SC7SZFVB3H4ZJCFTX5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/645KGOA3SC7SZFVB3H4ZJCFTX5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:645KGOA3SC7SZFVB3H4ZJCFTX5","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":"5594cdf0c683c14f9a8455b317116ed40c0b90f1a74675f2a18525624ec9b8cd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-30T20:02:29Z","title_canon_sha256":"087b0eafcaeb2c56ad859cb37b1c4701b7a0dd1a2e56f97f1c29eb5109a96a3d"},"schema_version":"1.0","source":{"id":"2303.17688","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.17688","created_at":"2026-07-05T05:56:44Z"},{"alias_kind":"arxiv_version","alias_value":"2303.17688v1","created_at":"2026-07-05T05:56:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.17688","created_at":"2026-07-05T05:56:44Z"},{"alias_kind":"pith_short_12","alias_value":"645KGOA3SC7S","created_at":"2026-07-05T05:56:44Z"},{"alias_kind":"pith_short_16","alias_value":"645KGOA3SC7SZFVB","created_at":"2026-07-05T05:56:44Z"},{"alias_kind":"pith_short_8","alias_value":"645KGOA3","created_at":"2026-07-05T05:56:44Z"}],"graph_snapshots":[{"event_id":"sha256:510dc6cf9589d3772be3d806737d39cc4947a99d7e1879962cd7bbd79d8499b0","target":"graph","created_at":"2026-07-05T05:56:44Z","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/2303.17688/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Virtual try-on, i.e making people virtually try new garments, is an active research area in computer vision with great commercial applications. Current virtual try-on methods usually work in a two-stage pipeline. First, the garment image is warped on the person's pose using a flow estimation network. Then in the second stage, the warped garment is fused with the person image to render a new try-on image. Unfortunately, such methods are heavily dependent on the quality of the garment warping which often fails when dealing with hard poses (e.g., a person lifting or crossing arms). In this work, ","authors_text":"Aiyu Cui, Antoine Toisoul, Sen He, Tao Xiang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-30T20:02:29Z","title":"Learning Garment DensePose for Robust Warping in Virtual Try-On"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.17688","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":"sha256:6e8278fbba71da3abd4e8917152ad1ee1358bbde3834cd56291913d9fb4d7a66","target":"record","created_at":"2026-07-05T05:56:44Z","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":"5594cdf0c683c14f9a8455b317116ed40c0b90f1a74675f2a18525624ec9b8cd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-30T20:02:29Z","title_canon_sha256":"087b0eafcaeb2c56ad859cb37b1c4701b7a0dd1a2e56f97f1c29eb5109a96a3d"},"schema_version":"1.0","source":{"id":"2303.17688","kind":"arxiv","version":1}},"canonical_sha256":"f73aa3381b90bf2c96a1d9f99488b3bf787bcc928a5b73945ee8086dca8079f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f73aa3381b90bf2c96a1d9f99488b3bf787bcc928a5b73945ee8086dca8079f7","first_computed_at":"2026-07-05T05:56:44.080227Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:56:44.080227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QyxZB8Xxo22LgUtG2cDSrcnKwPVa0+GrWWj3r6draNEDsEl4cizzwFUUtmnBPmRkD1xqEIeoiBOljqW4duMvAw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:56:44.080697Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.17688","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6e8278fbba71da3abd4e8917152ad1ee1358bbde3834cd56291913d9fb4d7a66","sha256:510dc6cf9589d3772be3d806737d39cc4947a99d7e1879962cd7bbd79d8499b0"],"state_sha256":"9a31ac0e2dcfe02868919096939421578e62307e5037aa61bb82b96a687ae743"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YBN6LL7se/aEhhwVof0RuSf+UEF8+iZ1w626hloUacjMDtbspB/MMCtSZkk6ou+5FK3WHaKii0CdtE4AvPKiAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T09:12:55.010860Z","bundle_sha256":"a4b4e8b1cbb5ba0f0cae6cd10353eb009efa933e494ae19969b659c4cb8912c6"}}