{"as_of":"2026-08-14T22:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:84dbe1d1d9e03d8226626a37a188c7568b644351eec39e659059250c4f292e11","coverage":[{"denominator":63,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":63,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T15:44:00.433960Z","state":"measured"},{"denominator":63,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":63,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.13692/citation-record","integrity":"/paper/2501.13692/integrity","json":"/paper/2501.13692/citation-record.json","paper":"/paper/2501.13692"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.638069Z","title":"Gimp 2.8 for photographers: Image editing with open source software","venue":null,"work_id":"c8e65d2e-1a3a-491c-8204-742a84c1a15f","year":2014},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.138562Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:09223f03f9c2c33eb6575382488fcc1c9ff36bcf34f323c0a5498719904a1030","observation_id":"a6fa17fe-a96d-4244-ab84-475e93448401","resolution":{"observed_at":"2026-08-10T15:44:01.643699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.14409","last_updated":"2025-01-28T12:59:17Z","snapshot_observed_at":"2026-08-13T10:25:57.144502Z","submitted_at":"2023-08-28T08:47:06Z","title":"Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction","version":3},"cited_work":{"arxiv_id":"2308.14409","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.14409","snapshot_observed_at":"2026-08-10T15:44:00.624062Z","title":"Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction","venue":"cs.CV","work_id":"ee5ec802-a723-4847-b49b-64265283524f","year":2023},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.144246Z"},"links":{"cited_paper":"/paper/2308.14409","citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:b03e4fb8f7ae15eb5fe7c9147af3ae902d278ff14a03d838c985a7cea3a9a89f","observation_id":"02c58eec-6286-4313-9708-86edf266a117","resolution":{"observed_at":"2026-08-10T15:44:00.629614Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.622437Z","title":"Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing","venue":null,"work_id":"293295bc-92fd-472a-a56c-782da6bd996b","year":2023},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.150163Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:f0cd26c7975de7877338de8767fa388cea04c5378744418a479c3af7bdf90a2b","observation_id":"06e8df3a-a16a-4949-bce9-b56673fcdf84","resolution":{"observed_at":"2026-08-10T15:44:01.627667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.607281Z","title":"Image editing with adobe photoshop 6.0","venue":null,"work_id":"4376001e-47fd-4f24-b8b9-4e36b48e52a0","year":null},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.154727Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:48062159ac10357a61ac6c985aedf01f3ecd4d22ff3ef0d399d9c9a103dcb003","observation_id":"bdc3a109-48da-404b-bfd9-39255825d4e6","resolution":{"observed_at":"2026-08-10T15:44:01.612069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.592208Z","title":"Reproducible scal- ing laws for contrastive language-image learning","venue":null,"work_id":"354bfee1-6ca4-4f59-ab88-d238412570ea","year":2023},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.159673Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:6dd441504969ea0e8ba8744db23fe97a8a7448aae6cd1d0bcc2d57337827757b","observation_id":"5a2b43c4-b27d-4c88-82f7-079021665d24","resolution":{"observed_at":"2026-08-10T15:44:01.597148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.577635Z","title":"Viton-hd: High-resolution virtual try-on via misalignment-aware normalization","venue":null,"work_id":"f994f361-bc11-4d22-9b7c-1489005bcf20","year":2021},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.164608Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:46cba14aed06f900adc594e709da7adfa2d89f5409073aa48980dc30e04d6af4","observation_id":"ad9fd417-ec5d-4801-8f0d-6f86a706065f","resolution":{"observed_at":"2026-08-10T15:44:01.582238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.561701Z","title":"Diffu- sion models beat gans on image synthesis","venue":null,"work_id":"0bb5a536-1056-4a58-8816-09b1511fdb59","year":2021},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.169067Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:f860ac0baa59800a58048505d380c20f8263bcd2924c955f1733dbf2d2d0e37a","observation_id":"f5ffee48-15c2-40f3-9dba-0b872a6c2f37","resolution":{"observed_at":"2026-08-10T15:44:01.566989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.541633Z","title":"Tuning-free inversion-enhanced control for consistent image editing","venue":null,"work_id":"2eb8012f-b4cb-44c9-8603-620ad6aaa473","year":2024},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.173990Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:d45d8162651d5dddd520b060df19e79cbb1616a347bd9d0b6ae7bb61afd6df6c","observation_id":"06b0a29f-da1d-4a08-9d26-c7e704f2084a","resolution":{"observed_at":"2026-08-10T15:44:01.546941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-10T15:44:00.178254Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.178254Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:8df2d75ac29071ccc573ec2c0c9aef4c73b55d10900b87351a4f9b437d0bcc4b","observation_id":"9d0f3810-0647-493f-9fe9-983b09ae80b0","resolution":{"observed_at":"2026-08-10T15:44:00.178254Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.524835Z","title":"Scaling rec- tified flow transformers for high-resolution image synthesis","venue":null,"work_id":"48064ea9-ccd9-41ac-92b6-a0bdaa1dfea2","year":2024},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.182791Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:f130e6c0dc4ee8899a3a24013f1f6212fbca410d6a6998f243155936c171218e","observation_id":"db6e28c9-bc20-40cc-8707-2f330976208e","resolution":{"observed_at":"2026-08-10T15:44:01.530702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.508424Z","title":"C-vton: Context-driven image-based virtual try-on network","venue":null,"work_id":"3b50f82d-44e1-468d-be55-05c5aea0c1ba","year":null},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.186897Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:87ba5f89045e5fd4f567a8045ada6d180bb021fda0de41e2020f667045a319f3","observation_id":"9e0f6479-063d-4d88-a35f-3bccad191d31","resolution":{"observed_at":"2026-08-10T15:44:01.513702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.491718Z","title":"Disentangled cycle consistency for highly- realistic virtual try-on","venue":null,"work_id":"7636af3c-6cc2-4929-8978-1b459bc6b6cd","year":2021},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.191186Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:77c547359922ff56fac8174d931f45d1124510d61a3aaf5f5418abb3aec9a7b2","observation_id":"39faaf57-ddca-4577-8cd6-37a4c2a6538a","resolution":{"observed_at":"2026-08-10T15:44:01.497220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.474210Z","title":"Parser-free virtual try-on via distilling ap- pearance flows","venue":null,"work_id":"572dd3db-1633-4fe7-a42a-d175c7693fe5","year":null},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.195930Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:0a4a82cd65893a03c770f2cf7699cbbabaac476012a13a56160ca8875c0a3d7b","observation_id":"c4d2efbb-c580-4c49-98f6-01d693401ee9","resolution":{"observed_at":"2026-08-10T15:44:01.479779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1406.2661","last_updated":"2014-06-10T18:58:17Z","snapshot_observed_at":"2026-07-06T03:46:00.791740Z","submitted_at":"2014-06-10T18:58:17Z","title":"Generative Adversarial Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1406.2661","snapshot_observed_at":"2026-08-10T15:44:00.200715Z","title":"Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.200715Z"},"links":{"cited_paper":"/paper/1406.2661","citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:11c71d152d0d46f2897cbfcdda7623bf0586fdd63cde903b88c1e0957bf0da01","observation_id":"fb272e4f-f71f-45d3-be22-3784d3bc2077","resolution":{"observed_at":"2026-08-10T15:44:00.200715Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.457473Z","title":"Ai assisted fashion design: A re- view","venue":null,"work_id":"5b4a7c29-aeaf-48e5-9d22-95d5b0051469","year":2023},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.205839Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:97dcd257a17f7bf445cc57d29a092c304328c6f04ab53f9ed5cae81be8347cc6","observation_id":"4d5663a5-fb49-419e-b0eb-94cbe1cbc84e","resolution":{"observed_at":"2026-08-10T15:44:01.462558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.441568Z","title":null,"venue":null,"work_id":"2c26f78e-6870-4484-8119-70b8084bf49f","year":2018},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.210514Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:e5f139c110fa622cb56e9ce50327396e6c2742f41e0665907551663395ffbf20","observation_id":"1bf9b6c9-a324-467f-9933-b62856f7d209","resolution":{"observed_at":"2026-08-10T15:44:01.446329Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.425175Z","title":"Dresscode: Autoregressively sewing and gener- ating garments from text guidance","venue":null,"work_id":"48eb3520-5811-4aa9-a57b-26484d12d2ff","year":2024},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.215244Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:29db8af4c00c6319578980a03a360dd92c7c1d3d9bbedaad85e90e5f32687716","observation_id":"4dfba25c-2421-4502-b865-3ea98d797d1c","resolution":{"observed_at":"2026-08-10T15:44:01.430142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.409093Z","title":"Imagine yourself: Tuning-Free Personal- ized Image Generation, 2024","venue":null,"work_id":"d2240793-e370-4b50-be61-6e57106557e9","year":2024},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.219902Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:e792babb8d00249771eb40bea379cdd689c9e71fd61be37a4edff3aef4e8a4b7","observation_id":"11a5202e-0e15-4241-9b0a-893166469318","resolution":{"observed_at":"2026-08-10T15:44:01.414123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.224641Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.224641Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:1d920c959c34ab0ae1c09cc01c36817b7353204620505748f54bb0d1c28cf906","observation_id":"d5616db6-be5e-4c48-bf47-b36cc95c36ef","resolution":{"observed_at":"2026-08-10T15:44:00.224641Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.18387","last_updated":"2023-11-30T09:30:15Z","snapshot_observed_at":"2026-08-13T05:13:38.208669Z","submitted_at":"2023-11-30T09:30:15Z","title":"On Exact Inversion of DPM-Solvers","version":1},"cited_work":{"arxiv_id":"2311.18387","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.18387","snapshot_observed_at":"2026-08-10T15:44:00.567478Z","title":"On Exact Inversion of DPM-Solvers","venue":"cs.CV","work_id":"e7ac3212-01de-4d9b-937e-57afe32c9995","year":2023},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.229516Z"},"links":{"cited_paper":"/paper/2311.18387","citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:174930cd1f21866a033e77312984d7e63caa8592edc257ed5f9983b90848e2c7","observation_id":"8322b5ba-6ca7-4144-a093-174df7c82518","resolution":{"observed_at":"2026-08-10T15:44:00.572912Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.382817Z","title":"Image quality metrics: Psnr vs","venue":null,"work_id":"4513e1dd-ccff-4ffa-8059-596f6cc13fc0","year":2010},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.234562Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:4f16d6f1e66a034b7a68780830a05e7a4e2aa8a0d782a5daad331f336f29713c","observation_id":"ec7bd0fa-5b2a-4147-82cd-82bc0ff4a487","resolution":{"observed_at":"2026-08-10T15:44:01.388222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.366143Z","title":"Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen","venue":null,"work_id":"2cf30b48-17c2-4c19-9fb2-01a4e03e01ea","year":2022},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.239206Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:1f8ce71fecd64b1e19814110709a2e8c6d5e53b735f9a46ca94aa81744e14ac1","observation_id":"e24b52b0-c315-424d-af32-bcf05b0f8c64","resolution":{"observed_at":"2026-08-10T15:44:01.371102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.347057Z","title":"Fashion and textile design with Photoshop and Illustrator : professional creative practice","venue":null,"work_id":"849bca62-fe88-4a34-ad7d-86bbff69598a","year":null},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.244010Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:86fa19e771e7e8e747bbac68ac95bfb6c45e5e0e4d1df0848e4f4ba224fa7c2b","observation_id":"135dc75c-a9d7-4f9c-9f41-0fc88ae602d8","resolution":{"observed_at":"2026-08-10T15:44:01.354100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.248782Z","title":"Open- clip, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.248782Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:987c9d646db9b6ad61864c3bda8083d7f798c69086f606d93c675315edb11bf0","observation_id":"98a0471b-c37d-4c71-a370-e95bdf9c5b5c","resolution":{"observed_at":"2026-08-10T15:44:00.248782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.320475Z","title":"EGAIN: extended gan inversion","venue":null,"work_id":"fb7ac0e5-c0ea-49f1-9e3a-4df0f7312f2c","year":2022},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.253812Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:706a2bf8365a824c2249251d16636303310cb8dddf92c313434b306ff6f213e1","observation_id":"7861c3b0-b2eb-4fc0-be74-9d76ff1422f8","resolution":{"observed_at":"2026-08-10T15:44:01.325093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.304892Z","title":"Elucidating the design space of diffusion-based generative models","venue":null,"work_id":"bb91a6c6-864e-4f83-90c7-82aa97bbaa34","year":2022},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.258487Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:69986aeab21fa552e67d4ed7e1117595bf61a38bce08e04f9dbe420a7eb5efe5","observation_id":"2c6006a5-06ee-493a-8897-2df8e55d2b74","resolution":{"observed_at":"2026-08-10T15:44:01.310509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.287642Z","title":"Towards understanding cross and self-attention in stable diffusion for text-guided image editing","venue":null,"work_id":"18f20d77-b5d4-45d3-8c07-09f762dd1cc1","year":2024},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.262892Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:c9472fb0916a4029ee5cdcdd5b827786702e1e320f0a1a189f2d068d841e2dda","observation_id":"54988c7c-3402-4fb7-9b73-379576e4ebd6","resolution":{"observed_at":"2026-08-10T15:44:01.293734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.01095","last_updated":"2025-05-19T07:56:56Z","snapshot_observed_at":"2026-08-13T05:49:42.133862Z","submitted_at":"2022-11-02T13:14:30Z","title":"DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.01095","snapshot_observed_at":"2026-08-10T15:44:00.267611Z","title":"Dpm-solver++: Fast solver for guided sampling of diffusion probabilistic models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.267611Z"},"links":{"cited_paper":"/paper/2211.01095","citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:fbfb2c3f5dc1fc6600db8a2d00c7692120f9c8c790b4e5fff9e13fd020f587b2","observation_id":"d4fa3304-2a27-444f-882e-1ae65a4ea2af","resolution":{"observed_at":"2026-08-10T15:44:00.267611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.268249Z","title":"Smart Fash- ion: A review of AI applications in the fashion & apparel industry, 2021","venue":null,"work_id":"49e027f4-f5b8-4749-9994-ae03dbd289c0","year":2021},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.273244Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:aa2ee018c2fc7c398da2338da977d4126aeac3f7b5790f2e964872cb3e2510db","observation_id":"50248a1f-4da9-454b-acf7-0a3910c31fbb","resolution":{"observed_at":"2026-08-10T15:44:01.274303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.251642Z","title":"Null-text inversion for editing real images using guided diffusion models","venue":null,"work_id":"92ce75a4-7de3-4153-b62f-a412a90cc3a3","year":2023},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.278341Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:1d33ba62abb75839ce0146a3dc12203a7227a8f865403d902f9f9920e40f3b2a","observation_id":"de5699bf-aa4f-4626-957c-42aaa1f250a3","resolution":{"observed_at":"2026-08-10T15:44:01.256760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.234731Z","title":"Drag your GAN: interactive point-based manipulation on the generative image manifold","venue":null,"work_id":"33f3ef55-ad0e-4e58-b8a4-61afff6deee6","year":2023},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.283003Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:90229242d21682e762e4383f43fbfef159470a7cfefc74bf55522ff32d92aef7","observation_id":"6ca8634e-0ca7-4f2a-80ca-c93fc01e61c8","resolution":{"observed_at":"2026-08-10T15:44:01.239825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.217194Z","title":"Richter, Christo- pher Pal, and Marc Aubreville","venue":null,"work_id":"dfbe2cce-88d4-413e-901e-fb87cfb3cd29","year":2024},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.287833Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:f9e7e1b0dde7ae9cb2edfe2fcb8e31cc4cb5000d23044dcd4b6072f8ca7339a6","observation_id":"333644fe-298d-4dee-989b-bceb4cc77253","resolution":{"observed_at":"2026-08-10T15:44:01.222624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.02110","last_updated":"2023-01-05T15:33:23Z","snapshot_observed_at":"2026-08-13T13:09:17.668559Z","submitted_at":"2023-01-05T15:33:23Z","title":"FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion","version":1},"cited_work":{"arxiv_id":"2301.02110","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.02110","snapshot_observed_at":"2026-08-10T15:44:00.522806Z","title":"FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion","venue":"cs.CV","work_id":"3728e77e-bc58-4745-9afe-ab32fdc1e6f2","year":2023},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.292708Z"},"links":{"cited_paper":"/paper/2301.02110","citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:b920def1648f395632437280c65a1719d31e77e15c830306e1e354b2697eede4","observation_id":"ddbfe54f-1a40-488d-a9aa-5766f3445a38","resolution":{"observed_at":"2026-08-10T15:44:00.530350Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.199729Z","title":"Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever","venue":null,"work_id":"d153a8c6-ac36-4d0d-a617-439d02106b40","year":2021},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.297791Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:1d3c0085ffcd9030b80d937b9bcef4efcdf5c51d3394fef87500770ef32f44fb","observation_id":"cd185504-05bc-4b73-8ee0-a39b83372dc4","resolution":{"observed_at":"2026-08-10T15:44:01.204845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.183021Z","title":"Artificial intelligence and sus- tainability in the fashion industry: a review from 2010 to","venue":null,"work_id":"bebaf05b-9239-4e21-986c-7ff042831b25","year":2010},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.302518Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:9f7e8d6cda4fc7ba8ff8ca97ed81b2b6cf4d93d5399edffac6a226c72109299b","observation_id":"e40002d3-476d-4586-a9ea-914d3d6a83a4","resolution":{"observed_at":"2026-08-10T15:44:01.188561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00714","last_updated":"2024-10-28T16:37:57Z","snapshot_observed_at":"2026-07-06T18:55:41.459417Z","submitted_at":"2024-08-01T17:00:08Z","title":"SAM 2: Segment Anything in Images and Videos","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00714","snapshot_observed_at":"2026-08-10T15:44:00.312128Z","title":"Girshick, Piotr Doll ´ar, and Christoph Feichtenhofer","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.312128Z"},"links":{"cited_paper":"/paper/2408.00714","citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:ef61a6f2678b4e16df334636f6257d778ba8495167af1cf3ab22b16e341ef85a","observation_id":"a6706791-156d-425a-9538-803fb1b3904c","resolution":{"observed_at":"2026-08-10T15:44:00.312128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.016832Z","title":"High-resolution image syn- thesis with latent diffusion models","venue":null,"work_id":"cc72a440-bc47-4ebf-bb03-64b6e550b580","year":2022},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.316790Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:3cd34365a1c9a3febfeb992fac7aef989dcc7d749f2ad75b515706fdee41cc56","observation_id":"d9f4b722-96e6-4f7f-8900-5341c0ede21b","resolution":{"observed_at":"2026-08-10T15:44:01.022153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.999147Z","title":"U-net: Convolutional networks for biomedical image segmentation","venue":null,"work_id":"63211b44-46ab-409d-9b7f-2d136fa2b408","year":2015},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.320791Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:cc8c36fb600f6abfd0415a7c6197e2963a3b27769faf3e5a3d659c46f008f9ff","observation_id":"afc4051f-bef2-475d-b1e0-db50b2f83919","resolution":{"observed_at":"2026-08-10T15:44:01.004693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.324778Z","title":"LAION-5b: An open large-scale dataset for train- ing next generation image-text models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.324778Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:fd27e18cb5913b21b52f0766c0053ea4e3591f5fb4aec119cbbbcf3c32c1fdfa","observation_id":"9c4ac385-4cae-4ed6-9ea3-bdb98b5114dc","resolution":{"observed_at":"2026-08-10T15:44:00.324778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.964097Z","title":"GAN inversion with semantic segmentation map for image editing","venue":null,"work_id":"94228e81-3376-4c02-b0c3-85fe2d19d37a","year":2022},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.328761Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:3f84a22cf55463dcbfa97a4f53f4a104ef2127d5521803a23766cf256bc83c7a","observation_id":"b40da77b-ce25-435e-a554-486501ecac2f","resolution":{"observed_at":"2026-08-10T15:44:00.970265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.947237Z","title":"Very deep con- volutional networks for large-scale image recognition","venue":null,"work_id":"ca0a6c96-60d2-4653-90bb-a40eac8c1c19","year":2015},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.333501Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:45618364e88dcbbcd5953325b596b97f68cfa948e7ca10f82ae295f9587e5be9","observation_id":"cbb67a8e-eb5a-4285-b42a-17f94b2d83f3","resolution":{"observed_at":"2026-08-10T15:44:00.952660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.931340Z","title":"Editing out-of-domain GAN inversion via differential activations","venue":null,"work_id":"800a1584-3d4f-47f1-b5a3-0c45685e40d6","year":2022},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.337734Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:236d2c46773d1307b974e097dc14caca2abd2d470840b6504f0b3381c9f741a6","observation_id":"2270366e-961c-433e-9434-b6184c11a7ce","resolution":{"observed_at":"2026-08-10T15:44:00.935874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.916549Z","title":"Denois- ing diffusion implicit models","venue":null,"work_id":"4448046d-4358-4a11-a33d-a3db72e38f4e","year":2021},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.341999Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:158296b9571b6eb21fe57497cb1151aa086e230515a3c024ff7d81b342879f25","observation_id":"69cd7099-144c-4b99-aff0-e993dd4d55c1","resolution":{"observed_at":"2026-08-10T15:44:00.920962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.898367Z","title":"Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole","venue":null,"work_id":"0f47c8a4-fd78-4071-9668-7aea85a000ab","year":2021},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.346312Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:3aee3a711b359e14430ec5dc3175daa4df82841788ed3e71027bc4bd6749ea68","observation_id":"fb73fb15-5704-4afd-824e-471be02d9a4b","resolution":{"observed_at":"2026-08-10T15:44:00.904722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.863989Z","title":"ESRGAN: enhanced super-resolution generative adversarial networks","venue":null,"work_id":"30c8f8f7-2b36-439a-934e-4e954ecc5f57","year":2018},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.354832Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:1cd841623b4caf46dcdfccb691d4090be28f209836423ad82b89cacc28b7639a","observation_id":"c1fa0572-bb33-41f3-9ee8-98a8d26091b3","resolution":{"observed_at":"2026-08-10T15:44:00.869362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.829330Z","title":"Bovik, H.R","venue":null,"work_id":"4bf343b6-2037-495a-8eaf-f1b0b897da62","year":2004},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.363632Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:473816cfac8c6f08e3b11a08eb2dfaa7e54545f4994abcde23dacd2f886a8e69","observation_id":"8fc753ce-8a64-4333-80c9-f031e029dee9","resolution":{"observed_at":"2026-08-10T15:44:00.834277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.813074Z","title":"Tolerantgan: Text-guided image ma- nipulation tolerant to real-world image","venue":null,"work_id":"91aa1c31-d309-4730-9971-5acfa238b502","year":2024},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.368672Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:6ebb43b5c70819b1ed1045843839aef4f2ecfb7610934a4d5679f2e7829a5493","observation_id":"def208d8-b4f9-4d60-bef0-eb414f80fa49","resolution":{"observed_at":"2026-08-10T15:44:00.818307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.797673Z","title":"GAN inversion: A survey","venue":null,"work_id":"731b3dbc-c6c3-4273-92d7-e334db1990d0","year":null},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.373545Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:aee1104cf001e4aea680b5676dbeccb1250a4b916d3b18b48f68bf6e7c3e52ba","observation_id":"50d763a3-6a4b-4b48-8886-112242934ad3","resolution":{"observed_at":"2026-08-10T15:44:00.802369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.06242","last_updated":"2023-11-10T18:59:08Z","snapshot_observed_at":"2026-08-13T05:28:13.368841Z","submitted_at":"2023-11-10T18:59:08Z","title":"Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.06242","snapshot_observed_at":"2026-08-10T15:44:00.378656Z","title":"Florence-2: Advancing a unified representation for a variety of vision tasks","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.378656Z"},"links":{"cited_paper":"/paper/2311.06242","citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:df57f2d27ce053ee5f26e020e52fe6e7f998318772628a1f88e78c18cff662ec","observation_id":"34a77ab0-3622-4d93-8f63-c0fa8591a4b0","resolution":{"observed_at":"2026-08-10T15:44:00.378656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.06721","last_updated":"2023-08-13T08:34:51Z","snapshot_observed_at":"2026-07-06T16:05:39.158819Z","submitted_at":"2023-08-13T08:34:51Z","title":"IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.06721","snapshot_observed_at":"2026-08-10T15:44:00.384497Z","title":"Ip- adapter: Text compatible image prompt adapter for text-to- image diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.384497Z"},"links":{"cited_paper":"/paper/2308.06721","citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:01d3a8967d4e9294cdff51e8982635a52cd803d038dd5204fffcecf7d999838d","observation_id":"dd492384-680f-434b-9b37-ed6d43032fe0","resolution":{"observed_at":"2026-08-10T15:44:00.384497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.781830Z","title":"High-fidelity image inpainting with GAN inversion","venue":null,"work_id":"0a666dd6-7661-462e-abed-dd5fbeb5e9ec","year":2022},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.389786Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:8b0afecd10eba96d57a42d00291ffd7a6263998c06a4a0532ae72b7c1fc4b96f","observation_id":"2b995f0b-bc93-47fd-b236-a3ad9ba419a0","resolution":{"observed_at":"2026-08-10T15:44:00.786850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.394586Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.394586Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:f33e49e6061007e0fd83f01bbd5935f9a8f8337a280d5b2d36dcb21550c8677c","observation_id":"141bd1a2-f14d-4de2-90bf-b69178ebff36","resolution":{"observed_at":"2026-08-10T15:44:00.394586Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.404211Z","title":"The unreasonable effectiveness of deep features as a perceptual metric","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.404211Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:e463bb7833c6479ab07a9536f38943080b5530dce68852bab00e6cea64559906","observation_id":"98c9a023-47bd-4d53-af2c-178468abdfa9","resolution":{"observed_at":"2026-08-10T15:44:00.404211Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.728965Z","title":"In-domain GAN inversion for faith- ful reconstruction and editability","venue":null,"work_id":"9145c5f6-2e4c-4a4c-ac1b-6ac3a623b186","year":2024},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.408920Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:43e6ff7f44680598376e2fe39ba79e29255206812976b1a569047f7652d72aba","observation_id":"5780e175-fe5c-4354-b9f3-3c3ac85ee212","resolution":{"observed_at":"2026-08-10T15:44:00.733775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.711436Z","title":"Loopnet for fine-grained fashion attributes editing","venue":null,"work_id":"a34d473b-3085-4892-9787-3fca30ce3c0f","year":2025},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.413633Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:03f23f782aba16e47d8b793f2ba775b97d3ca8aefb8e17e7a9596c09c28cc28e","observation_id":"6af7323a-45ad-4d81-8869-3a6ea495379e","resolution":{"observed_at":"2026-08-10T15:44:00.716496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.694588Z","title":"Specifi- cally, we include further implementation details and more examples to validate our work","venue":null,"work_id":"cc786c9a-f85f-4d83-890e-afb04142b417","year":null},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.418533Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:be75cb5e9eb5f4a58fca7a5c9a0b87f9c3c729351500d8b498e7b39959a20cce","observation_id":"8cde7498-51a0-4449-8f5f-d7009ef946f9","resolution":{"observed_at":"2026-08-10T15:44:00.700140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.675699Z","title":"A photo of an opened sleeves clothing with 45-degree arm-torso an- gle","venue":null,"work_id":"069bd4e7-ab6c-48d9-bd75-2704bee1771f","year":null},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.424023Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:c3be14233e65f55846ea117dd8284b4bb2be807299b3fa7e00e8b09773f0c7a5","observation_id":"5aa22f3d-4653-47a5-86c1-e1bdb4c24c2a","resolution":{"observed_at":"2026-08-10T15:44:00.680862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.657630Z","title":null,"venue":null,"work_id":"ae566110-8116-477d-87de-350530a4c237","year":null},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.429086Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:9e42a418e8df1925ef9bf93deb8d750f914fae1c5db25e51ac1125b7611ce6af","observation_id":"a7bd090a-b630-4881-90d2-15004ed45039","resolution":{"observed_at":"2026-08-10T15:44:00.662621Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.640787Z","title":"The following figures highlight the impact of each stage on the quality of the final output","venue":null,"work_id":"30093500-67c2-435c-8a47-4bee4c8a5248","year":null},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.433960Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:9ca67b564723427e6156c65639de08569f9feeb7192fe1e20a675fff16325c97","observation_id":"e7632937-f738-4832-bf87-6f2d2f0b7a01","resolution":{"observed_at":"2026-08-10T15:44:00.646093Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.845694Z","title":null,"venue":null,"work_id":"d336ee67-19a5-46ff-80df-0e01d65bbee4","year":2018},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.359223Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:afcfdd6d69fd4ff64b6ec2c87f772259e21a28d9d2814c642d0f17589152fc40","observation_id":"e6bd0457-1306-41a3-9bf9-5ce3d526908f","resolution":{"observed_at":"2026-08-10T15:44:00.850510Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.880626Z","title":null,"venue":null,"work_id":"8e47dc04-3019-4a9a-bd92-df678bdade95","year":2021},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.350469Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:26e04dc0989825082bc89562b358e0b6eb291f777f0ba8b622a2dc316f562b34","observation_id":"e9cacfeb-6b5b-4acf-97cb-a1232c7185df","resolution":{"observed_at":"2026-08-10T15:44:00.887338Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:01.034298Z","title":null,"venue":null,"work_id":"203d5b68-c9b1-4523-8b74-d491d8e4b8e2","year":2023},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.307224Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:66918e2537feef1b048cc47644f8214c7b396e1e6d2ceef4bada444c9e4b77f1","observation_id":"925c79d4-73e0-4bd7-830d-acb7466ecfc7","resolution":{"observed_at":"2026-08-10T15:44:01.039548Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T15:44:00.756199Z","title":"2, 4, 5, 6, 7, 1, 3","venue":null,"work_id":"9dcbe576-82b4-4803-9467-c5a961bcaffd","year":2023},"citing_paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization","version":2},"reference_index":3824,"source":"pdf_text","source_observed_at":"2026-08-10T15:44:00.399261Z"},"links":{"citing_paper":"/paper/2501.13692"},"observation_digest":"sha256:732126d61a3e82d20c2a5d39f122b4441413d4caaaa83be2ed1dbde92075926d","observation_id":"6ed96da9-1436-4083-855b-0c8ab7ded87e","resolution":{"observed_at":"2026-08-10T15:44:00.760867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.13692","last_updated":"2026-07-12T12:26:40Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-11T09:30:09.567374Z","submitted_at":"2025-01-23T14:17:01Z","title":"Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and Normalization"},"reference_resolution":{"displayed":63,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":2,"unresolved":14,"verified_exact":3,"verified_fuzzy":44},"total_outbound_references":63},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2501.13692."}