{"as_of":"2026-08-13T02:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f47828e8090a1995a006a0c78de7ed8f4d5299081e8dab1f23cb6bb4a9314e9f","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:19:11.846730Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2411.16801/citation-record","integrity":"/paper/2411.16801/integrity","json":"/paper/2411.16801/citation-record.json","paper":"/paper/2411.16801"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T13:19:12.605889Z","title":"In- structpix2pix: Learning to follow image editing instructions","venue":null,"work_id":"b930e47e-7a71-40af-889c-243b2f19ff24","year":2023},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.595789Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:aa26a89dc9143c25108f71282ef37b510a7255f48d6adb6c7e6d42e7d62c496a","observation_id":"1fb531fa-7e02-475f-94f2-692de099a1f3","resolution":{"observed_at":"2026-08-12T13:19:12.610478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.591538Z","title":"Wear-any-way: Manip- ulable virtual try-on via sparse correspondence alignment","venue":null,"work_id":"d7402b79-52c3-4ca8-96f2-8474fa0c4b6e","year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.601125Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:272ab109ce6c5c347fb1e11c37a065885d468c794f807133cb1de286ebc1d0ee","observation_id":"b35f7811-684c-4fdc-bb02-d6bd43a23b81","resolution":{"observed_at":"2026-08-12T13:19:12.596491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09512","last_updated":"2024-07-24T04:06:12Z","snapshot_observed_at":"2026-08-13T00:30:13.177367Z","submitted_at":"2024-04-15T07:15:39Z","title":"Magic Clothing: Controllable Garment-Driven Image Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.09512","snapshot_observed_at":"2026-08-12T13:19:11.606164Z","title":"Magic clothing: Controllable garment-driven image synthe- sis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.606164Z"},"links":{"cited_paper":"/paper/2404.09512","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:523c7bc493ad7073ddf9a2fa17ca7dd604761abff1f0863167d35dd42031a653","observation_id":"027a4930-ab46-493c-b85b-69023b514ada","resolution":{"observed_at":"2026-08-12T13:19:11.606164Z","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":"2026-08-12T13:19:12.577621Z","title":"Anydoor: Zero-shot object-level im- age customization","venue":null,"work_id":"fcdd8df4-ee3f-4ca9-a611-d1d4629df7ef","year":2023},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.610771Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:34843ccef46980199f2aa561d0d0abcdbfdc6c6e05112a2c957da03ec00b9af3","observation_id":"9b250d24-1baa-4044-badf-50e16bc5029a","resolution":{"observed_at":"2026-08-12T13:19:12.581886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.563521Z","title":"Viton-hd: High-resolution virtual try-on via misalignment-aware normalization","venue":null,"work_id":"4e9f87c7-8477-4dd2-b59e-8a61c02e5b25","year":2021},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.615174Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:42614889cac406abfb63443dc56b01977acb47e409ba31083b98a9cf6835d2fe","observation_id":"33bdd086-0218-443b-8247-d960e3e106ef","resolution":{"observed_at":"2026-08-12T13:19:12.568968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.549931Z","title":"Improving diffusion models for au- thentic virtual try-on in the wild","venue":null,"work_id":"77eb97d6-3dcc-4a7b-8b4e-18d751c69fdc","year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.619594Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:bcd9d8dc65c17ba1a40ac7305fde8451efdc7b12b9161d43d132c3ce970d359e","observation_id":"5e3fa11d-7d07-4488-a8dc-6195ea60e719","resolution":{"observed_at":"2026-08-12T13:19:12.554330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:11.624022Z","title":"Scaling recti- fied flow transformers for high-resolution image synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.624022Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:411d8eae6245c327927f1a991acb17633b9391a8afda537d484115c46627c08a","observation_id":"ed09f1d2-71d8-43fa-b845-62800d5191d6","resolution":{"observed_at":"2026-08-12T13:19:11.624022Z","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":"2026-08-12T13:19:12.527897Z","title":"Dream- sim: Learning new dimensions of human visual similarity us- ing synthetic data","venue":null,"work_id":"1502a4ff-b17e-4d87-af94-3d9725981aeb","year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.628072Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:610878d421e5453e1a411730c95953873c200cf95971de0e3b5d5d4cd2beca55","observation_id":"b77c1062-9b64-417a-a7d0-a6b2a5cad046","resolution":{"observed_at":"2026-08-12T13:19:12.532165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03620","last_updated":"2024-04-04T17:43:06Z","snapshot_observed_at":"2026-08-13T00:37:32.342972Z","submitted_at":"2024-04-04T17:43:06Z","title":"LCM-Lookahead for Encoder-based Text-to-Image Personalization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03620","snapshot_observed_at":"2026-08-12T13:19:11.632537Z","title":"Lcm- lookahead for encoder-based text-to-image personalization","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.632537Z"},"links":{"cited_paper":"/paper/2404.03620","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:2793c486d6272ae4bd5ae97871beaf460da0076068b6e5989250c1ce512a1b8b","observation_id":"3bc906b4-b73d-4cbc-bfbe-e0a15ed1d1c7","resolution":{"observed_at":"2026-08-12T13:19:11.632537Z","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":"2026-08-12T13:19:12.513431Z","title":"Prompt-to-prompt image editing with cross attention control","venue":null,"work_id":"f221a749-7547-4d0a-a162-b3c5e35d8c32","year":2023},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.636841Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:311bb668487c2b39c9928053319c66dab39ca6d08c5b97fd5505ab3d295b6f0e","observation_id":"8579fd44-846e-41da-bbc4-b3ae220c217e","resolution":{"observed_at":"2026-08-12T13:19:12.518698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:11.641096Z","title":"Style aligned image generation via shared atten- tion","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.641096Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:99561045b097efe1d55efe79dfbc4f8da63bda4c9d0d8175d337b83d9787e637","observation_id":"d486ffc7-bf82-4f3f-a3b4-39607269205d","resolution":{"observed_at":"2026-08-12T13:19:11.641096Z","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":"2026-08-12T13:19:11.645408Z","title":"Gans trained by a two time-scale update rule converge to a local nash equilib- rium","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.645408Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:33e84c69e23a4632ff337bb74518a1ca0925d1cdab257bb8e1c2a3ed1d550617","observation_id":"3174bda5-fa3a-4b99-9209-c8bd855dd448","resolution":{"observed_at":"2026-08-12T13:19:11.645408Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-08-12T19:28:23.372660Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-12T13:19:11.649384Z","title":"Classifier-free diffusion guidance","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.649384Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:744bd7a6e326ebcceb756bed1e0577239f029470574d2a1782ca3884d6a5bb5b","observation_id":"10b7d4c2-fa8f-483a-bb46-0b4e953e2161","resolution":{"observed_at":"2026-08-12T13:19:11.649384Z","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":"2026-08-12T13:19:12.483882Z","title":"Denoising dif- fusion probabilistic models","venue":null,"work_id":"e177ce74-d0b2-4859-9b64-e7fc1ba92d3c","year":2020},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.653819Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:e115c3c0b2a34e1b12b441169590ed8eb031e5cb44a61a0396eab37356760908","observation_id":"c5b58dfb-9149-4c97-9d17-1f619dd45fc9","resolution":{"observed_at":"2026-08-12T13:19:12.487921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.17920","last_updated":"2024-12-18T09:55:15Z","snapshot_observed_at":"2026-08-12T22:36:51.466433Z","submitted_at":"2024-09-26T15:04:13Z","title":"Resolving Multi-Condition Confusion for Finetuning-Free Personalized Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.17920","snapshot_observed_at":"2026-08-12T13:19:11.657734Z","title":"Resolving multi-condition confusion for finetuning-free personalized image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.657734Z"},"links":{"cited_paper":"/paper/2409.17920","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:0ddcb276b1707b496332e550aa020bb46ef8bb719f8d723663f1361e90460c91","observation_id":"56482101-9ba0-4a7f-a038-96c81d677c98","resolution":{"observed_at":"2026-08-12T13:19:11.657734Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15267","last_updated":"2024-04-23T17:56:08Z","snapshot_observed_at":"2026-08-13T00:23:35.424381Z","submitted_at":"2024-04-23T17:56:08Z","title":"From Parts to Whole: A Unified Reference Framework for Controllable Human Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15267","snapshot_observed_at":"2026-08-12T13:19:11.662594Z","title":"From parts to whole: A unified reference framework for controllable human image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.662594Z"},"links":{"cited_paper":"/paper/2404.15267","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:3f17be466a893fb5a531cb608c5b0aa4d405d0a6f62dc38875ea223c5dfbb93d","observation_id":"ad7fc007-cb35-417a-9e72-9c3b4a5ddeb4","resolution":{"observed_at":"2026-08-12T13:19:11.662594Z","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":"2026-08-12T13:19:11.666956Z","title":"Estimation of non- normalized statistical models by score matching","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.666956Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:b15a683f2e7225bb3add4e530640db5e6af3ee67a8eda6110904a8bb0ccbe6e7","observation_id":"ae4c89f3-2a76-4ebc-8ef9-97499b4380a5","resolution":{"observed_at":"2026-08-12T13:19:11.666956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.04243","last_updated":"2024-10-28T08:22:36Z","snapshot_observed_at":"2026-08-13T00:36:54.975799Z","submitted_at":"2024-04-05T17:45:22Z","title":"Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.04243","snapshot_observed_at":"2026-08-12T13:19:11.671411Z","title":"Identity decoupling for multi-subject per- sonalization of text-to-image models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.671411Z"},"links":{"cited_paper":"/paper/2404.04243","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:f8d3e84f370b144c0ebce29af7a2086049332b8e5699c9baa445d4d669587633","observation_id":"2c82ebc4-bfcc-4db5-a45b-a3050f2b5439","resolution":{"observed_at":"2026-08-12T13:19:11.671411Z","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":"2026-08-12T13:19:12.462872Z","title":"Elucidating the design space of diffusion-based generative models","venue":null,"work_id":"de6b391c-cc54-4172-8d15-64ce7e5996c9","year":2022},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.675930Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:8515242a404b18931c26c3ab05130d1199895a866963cf549e9121f0887b5c81","observation_id":"a99cbd36-84f0-4760-89a5-fbac0853b19c","resolution":{"observed_at":"2026-08-12T13:19:12.467097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.449315Z","title":"Analyzing and improving the training dynamics of diffusion models","venue":null,"work_id":"9155cd2b-a435-4ddf-9a7c-3622ae19369b","year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.679823Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:28b13d6b73571856a2de8e80de469f6f328ab789d4ef26d2f48b9fe57d4df5c9","observation_id":"bc9c28a9-0ba4-4f20-9a4e-b5296ef9fb72","resolution":{"observed_at":"2026-08-12T13:19:12.453879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.435624Z","title":"Stableviton: Learning semantic correspon- dence with latent diffusion model for virtual try-on","venue":null,"work_id":"8f5f4e16-1b88-4e10-84cd-180a2d70776d","year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.683706Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:c3e069065f21e816d323ddc247c78ada0dbdf4cd44d764eb23df173bd8e844a7","observation_id":"6214e89d-9b38-4cdb-8499-faf5c55de124","resolution":{"observed_at":"2026-08-12T13:19:12.439949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-12T13:19:11.687533Z","title":"Adam: A method for stochastic optimization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.687533Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:37c9ad46c5c5f0eae33acc526e8c8a1b19f126771a7e0b990533c447e1dcfa80","observation_id":"7f62789c-4305-4290-b118-0dc835ded395","resolution":{"observed_at":"2026-08-12T13:19:11.687533Z","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":"2026-08-12T13:19:12.422696Z","title":"Large-scale text-to-image gen- eration models for visual artists’ creative works","venue":null,"work_id":"d57732fc-a70b-4eb8-a942-81810e200595","year":2023},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.692003Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:24a49f77c8442e5b298e9d66cabb46fbc5e5dd3948beb070951eb07b9ecc6e05","observation_id":"b5be7ef6-9efc-4dae-968f-1d741c9b84ab","resolution":{"observed_at":"2026-08-12T13:19:12.427043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.409923Z","title":"Direct consistency optimization for robust customiza- tion of text-to-image diffusion models","venue":null,"work_id":"288652aa-e08e-4efe-85f0-f28950034aca","year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.695907Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:f743db7a280d6b0c2497328cb216db1a0022d12cc2210baa5391581500f2db63","observation_id":"5fdeddde-a79a-4510-a0bf-ce7a933d6140","resolution":{"observed_at":"2026-08-12T13:19:12.414187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.02928","last_updated":"2024-05-15T12:17:48Z","snapshot_observed_at":"2026-08-02T17:56:32.660121Z","submitted_at":"2023-06-05T14:45:38Z","title":"LRVS-Fashion: Extending Visual Search with Referring Instructions","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.02928","snapshot_observed_at":"2026-08-12T13:19:11.700182Z","title":"Lrvs- fashion: Extending visual search with referring instructions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.700182Z"},"links":{"cited_paper":"/paper/2306.02928","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:274292f852ab98dccf82b2b50aaeb6377437b9669dfad60e794683b8afc40c59","observation_id":"25b70bdb-27c4-4379-aa41-7678306c834c","resolution":{"observed_at":"2026-08-12T13:19:11.700182Z","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":"2026-08-12T13:19:12.396570Z","title":"Blip-diffusion: Pre-trained subject representation for controllable text-to- image generation and editing","venue":null,"work_id":"1d284715-9363-4f3c-ab97-84c60589d38f","year":2023},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.704785Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:1829d979b2d8af7b4f7077a5e806a0ae2edc7b04503c966139cb174e977c35fb","observation_id":"4c842153-f8e3-439c-aa8d-b120f832aac8","resolution":{"observed_at":"2026-08-12T13:19:12.401286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.383320Z","title":"Gligen: Open-set grounded text-to-image generation","venue":null,"work_id":"4cd9bb5f-11fa-493e-a642-2f626e8a75f4","year":2023},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.709419Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:564d77e044a41f0b3619d513d8ff05be511bcc3a363f4c3c9c1612bbe19dad84","observation_id":"89caa102-8403-4005-9801-bfbcf0835899","resolution":{"observed_at":"2026-08-12T13:19:12.387474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:11.713828Z","title":"Microsoft coco: Common objects in context","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.713828Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:398a3a76f41276e9f2a8d4324acdfc83ef9c16729f2291513c565a14ab84fe7c","observation_id":"aac61318-8d51-4a82-9a23-6c9007be7ddf","resolution":{"observed_at":"2026-08-12T13:19:11.713828Z","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":"2026-08-12T13:19:12.361492Z","title":"Visual instruction tuning","venue":null,"work_id":"39432541-e1a2-4d52-8c15-5f81294746e5","year":2023},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.718365Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:0311c5c971de5349c466478e01f650188e7decc13674e6ce2821ac2ef515e800","observation_id":"2b36eacf-fffe-4c84-87db-eec7a5e46b81","resolution":{"observed_at":"2026-08-12T13:19:12.366253Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.348794Z","title":"Deepfashion: Powering robust clothes recognition and retrieval with rich annotations","venue":null,"work_id":"7e90343a-639f-4207-9ea4-6412b52e7359","year":2016},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.722233Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:db1f5cbe711368b2976a8085c3ebc11e14bdf46d360c2c4477f848bde5369c2f","observation_id":"8b0cc46a-a7e8-4325-b723-67d7fbb12a45","resolution":{"observed_at":"2026-08-12T13:19:12.353082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.01073","last_updated":"2022-01-05T00:07:35Z","snapshot_observed_at":"2026-08-08T06:35:17.078531Z","submitted_at":"2021-08-02T17:59:47Z","title":"SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.01073","snapshot_observed_at":"2026-08-12T13:19:11.726232Z","title":"Sdedit: Guided image synthesis and editing with stochastic differential equations","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.726232Z"},"links":{"cited_paper":"/paper/2108.01073","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:12de9197ad4cdca18ad52cf624f6ec422f552026101ea13405298879aeae52f8","observation_id":"4128ffe3-4055-46b2-b05b-b870c53703ee","resolution":{"observed_at":"2026-08-12T13:19:11.726232Z","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":"2026-08-12T13:19:12.335462Z","title":"Dress code: High- resolution multi-category virtual try-on","venue":null,"work_id":"1cd7ba42-630a-4882-a048-83065a742c41","year":2022},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.730949Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:089acfa76afca2689c36a55772215a8d077f1e55e4f3d1cd17d198f3e508f36d","observation_id":"6412dc4a-0595-4158-8f34-f93d75bb9f04","resolution":{"observed_at":"2026-08-12T13:19:12.339779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.321266Z","title":"LaDI- VTON: Latent Diffusion Textual-Inversion Enhanced Virtual Try-On","venue":null,"work_id":"ac9d4de1-9e6e-453b-97d6-1a6d604f20fc","year":2023},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.735570Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:053be1b34045779062b74785da37d97107780af1215ff3d7e23aad9f79733a5b","observation_id":"d9ccac42-e8d9-4e8b-93bb-6df68d66735b","resolution":{"observed_at":"2026-08-12T13:19:12.326431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.306584Z","title":"Compositional text-to-image gen- eration with dense blob representations","venue":null,"work_id":"1a5f2658-3f69-4890-92b9-af3d4efbbc5c","year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.739760Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:f03ff19dd07380ab2a7116b235d092986d8e6c116aea92159d99678bba2e0de6","observation_id":"8109316f-a122-4c5c-8af3-0fd51dece1c4","resolution":{"observed_at":"2026-08-12T13:19:12.311499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.08246","last_updated":"2024-05-14T00:22:06Z","snapshot_observed_at":"2026-08-13T00:08:25.703488Z","submitted_at":"2024-05-14T00:22:06Z","title":"Compositional Text-to-Image Generation with Dense Blob Representations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.08246","snapshot_observed_at":"2026-08-12T13:19:11.743824Z","title":"Compositional text-to-image generation with dense blob representations","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.743824Z"},"links":{"cited_paper":"/paper/2405.08246","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:893132dc2e5d1217202192a24a3b1330e6d2ca7549340d66c295722faff5cc84","observation_id":"c12706f6-7e32-4abd-b0d5-c81b251f4223","resolution":{"observed_at":"2026-08-12T13:19:11.743824Z","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":"2026-08-12T13:19:12.291052Z","title":null,"venue":null,"work_id":"b8600c2f-6109-404f-9907-ff89b989652f","year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.747889Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:9fe5a3cc5ea5be8987fbbd078b4f038f577bba7402702a3e1e53f0b0c4479bcf","observation_id":"309c02ba-dbcb-4c02-be6b-ff52c03b48e5","resolution":{"observed_at":"2026-08-12T13:19:12.295990Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.276602Z","title":"Kosmos-G: Generating images in context with multimodal large language models","venue":null,"work_id":"dfa71b30-9f82-4181-aba9-01109e4c8ab2","year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.752010Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:aad822466e7b2a8b5c5c29aa51efd4aad53e146e1a1516a3581db7837b966f44","observation_id":"1315503a-3a07-4d53-b6bf-23a31bd5f931","resolution":{"observed_at":"2026-08-12T13:19:12.281025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.262298Z","title":"Full-body virtual try-on using top and bottom garments with wearing style control","venue":null,"work_id":"585fe3ae-b6e4-486c-bbcf-990e9936b2fa","year":2025},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.756344Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:ff0f807fb9d9c0df58bb89e0769b3406c1e0761172c5260f482053777528b107","observation_id":"c53a7b9c-ca5f-41ff-be41-26e122b6119a","resolution":{"observed_at":"2026-08-12T13:19:12.267407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.248281Z","title":"Sdxl: Improving latent diffusion models for high-resolution image synthesis","venue":null,"work_id":"4db3e9c8-aed2-4201-a77b-b125548d62d8","year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.760765Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:09b96a39960e67121b99f0e9a71284bb225849a11d6dba6e6f8593234fd4bcec","observation_id":"5fff20a9-1814-441c-9199-66d118a951ba","resolution":{"observed_at":"2026-08-12T13:19:12.252739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.234673Z","title":"Learn- ing transferable visual models from natural language super- vision","venue":null,"work_id":"605d7062-333b-46a3-9069-a92c4a43c09e","year":2021},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.764557Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:22d2b8aa0b2dd764c5a8c229b596411580fedfa8e8bb226846e48d313f5ff802","observation_id":"352df245-999b-4426-8879-b2fc333b55d8","resolution":{"observed_at":"2026-08-12T13:19:12.239219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:11.768367Z","title":"Exploring the limits of transfer learning with a unified text-to-text transformer","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.768367Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:21c6cb2f90cde60b4719f8debd12fa51be92cf608039956a90dd073fb8361d54","observation_id":"d0da9cdd-4f85-4722-825e-cba79d310a4a","resolution":{"observed_at":"2026-08-12T13:19:11.768367Z","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":"2026-08-12T13:19:11.772238Z","title":"High-resolution image synthesis with latent diffusion models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.772238Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:a0ede9850d2108d2d8932e06082475472bf9279c2f2a9580f985b8d10ff1692b","observation_id":"c3375c68-8bd9-48a4-9c48-6400a6b0d405","resolution":{"observed_at":"2026-08-12T13:19:11.772238Z","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":"2026-08-12T13:19:12.203919Z","title":"Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation","venue":null,"work_id":"7607be46-d06d-4158-8c92-98eb4eff388a","year":2023},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.776818Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:a1fd1213789cfa02fa794695c168a76122347cf81cb2fce075c098b51cb2044b","observation_id":"915babe0-49bd-4fbf-b389-5f125b3314ba","resolution":{"observed_at":"2026-08-12T13:19:12.209257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:11.781164Z","title":"Photorealistic text-to-image diffusion models with deep language understanding","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.781164Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:5b704fff9366baa705175e47012becbd6eba7d1b626f106a012af7ad4aa3816b","observation_id":"ef4e44d8-898d-4160-bf46-1a70b862a02e","resolution":{"observed_at":"2026-08-12T13:19:11.781164Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.12705","last_updated":"2024-08-06T13:06:26Z","snapshot_observed_at":"2026-08-12T23:20:12.207906Z","submitted_at":"2024-07-17T16:26:30Z","title":"IMAGDressing-v1: Customizable Virtual Dressing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.12705","snapshot_observed_at":"2026-08-12T13:19:11.785142Z","title":"Imagdressing-v1: Customizable virtual dressing","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.785142Z"},"links":{"cited_paper":"/paper/2407.12705","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:6747433913d8504dd80734824dde3690d9ad6e56bf49793c52ac3518a1223cc9","observation_id":"7dd040cf-963c-406a-be06-57c520ed8357","resolution":{"observed_at":"2026-08-12T13:19:11.785142Z","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":"2026-08-12T13:19:11.789319Z","title":"Deep unsupervised learning using nonequilibrium thermodynamics","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.789319Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:573c7080dd4d2a7493a44a50be39d1009e6fed342c912724080ab4a7662fd26e","observation_id":"746a6eae-c90b-48be-837c-51ca488bdb25","resolution":{"observed_at":"2026-08-12T13:19:11.789319Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.13456","last_updated":"2021-02-10T18:17:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-11-26T19:39:10Z","title":"Score-Based Generative Modeling through Stochastic Differential Equations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.13456","snapshot_observed_at":"2026-08-12T13:19:11.793140Z","title":"Score-based generative modeling through stochastic differential equa- tions","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.793140Z"},"links":{"cited_paper":"/paper/2011.13456","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:3f2fd0d2b6bd8a38cf4f0e636d51908bb7d565f4097daae6c36e8650971aabc7","observation_id":"05b23ca2-7d30-4dcc-87c6-4c1832c71581","resolution":{"observed_at":"2026-08-12T13:19:11.793140Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07209","last_updated":"2025-03-04T06:21:26Z","snapshot_observed_at":"2026-08-12T23:45:36.650177Z","submitted_at":"2024-06-11T12:32:53Z","title":"MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07209","snapshot_observed_at":"2026-08-12T13:19:11.797139Z","title":"Ms-diffusion: Multi-subject zero-shot im- age personalization with layout guidance","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.797139Z"},"links":{"cited_paper":"/paper/2406.07209","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:f190c51c343b7ff3eeea0bc95b05b23fbee210d5aa0f65d31f4d1657ccf7299c","observation_id":"07fd6cc7-b14b-4ecc-afa0-ed82f43fb338","resolution":{"observed_at":"2026-08-12T13:19:11.797139Z","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":"2026-08-12T13:19:11.801580Z","title":"Stylediffusion: Controllable disentangled style transfer via diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.801580Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:fc498f10b55ecac4f867c1c0eca9eac709e812d2171557acaad38f05205aa352","observation_id":"c6ca7806-74ba-4442-8788-8a4276be99fd","resolution":{"observed_at":"2026-08-12T13:19:11.801580Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18818","last_updated":"2024-03-27T17:59:52Z","snapshot_observed_at":"2026-08-13T00:43:35.480053Z","submitted_at":"2024-03-27T17:59:52Z","title":"ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18818","snapshot_observed_at":"2026-08-12T13:19:11.805741Z","title":"Objectdrop: Bootstrap- ping counterfactuals for photorealistic object removal and in- sertion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.805741Z"},"links":{"cited_paper":"/paper/2403.18818","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:660cb30e83d2e00796e6ddcfeca2747327229b7ade102ab6cf65952019d3477e","observation_id":"69b2dea5-d058-44ec-aca8-0bd5368a4f2e","resolution":{"observed_at":"2026-08-12T13:19:11.805741Z","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":"2026-08-12T13:19:12.166926Z","title":"Freeman, Fr ´edo Durand, and Song Han","venue":null,"work_id":"79864a92-c5a5-46d5-bce8-b3652e71a724","year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.810032Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:0fe4354d8943aa484c91f2ea41eebbf5bbb5e1b8f579d819849a14f1088393cb","observation_id":"59a012a9-7473-4a00-94a1-303aa88a1036","resolution":{"observed_at":"2026-08-12T13:19:12.170973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11340","last_updated":"2024-11-21T14:09:12Z","snapshot_observed_at":"2026-08-12T22:43:04.703395Z","submitted_at":"2024-09-17T16:42:46Z","title":"OmniGen: Unified Image Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.11340","snapshot_observed_at":"2026-08-12T13:19:11.813714Z","title":"Omnigen: Unified image generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.813714Z"},"links":{"cited_paper":"/paper/2409.11340","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:1665bc9a8fa1e33e09decb57db4d5407d339473be28704dfa4e76edd0eb18870","observation_id":"fdafef5a-a51e-4011-a05e-9d5bfc11ae1d","resolution":{"observed_at":"2026-08-12T13:19:11.813714Z","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":"2026-08-12T13:19:12.153107Z","title":"Segformer: Simple and effi- cient design for semantic segmentation with transformers","venue":null,"work_id":"a12062c0-f117-4dde-8b07-8509354fc114","year":2021},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.817878Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:503d6da75f8c1b013f4900030f4cc7bb799c378a8d5df61878ab007a595eb576","observation_id":"5ca520ac-e190-42a3-ad7d-335ad1529d54","resolution":{"observed_at":"2026-08-12T13:19:12.157576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-12T13:19:11.821717Z","title":"Ip- adapter: Text compatible image prompt adapter for text-to- image diffusion models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.821717Z"},"links":{"cited_paper":"/paper/2308.06721","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:ba77bc5c0b8b70d9c660d70ce102364f40f742a30067e6332749eecb2f397726","observation_id":"9fabb70a-435f-4165-bc8e-d9d822e0f39c","resolution":{"observed_at":"2026-08-12T13:19:11.821717Z","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":"2026-08-12T13:19:11.826207Z","title":"Mvimgnet: A large-scale dataset of multi-view images","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.826207Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:d3063582595eb1597820844a91330c35dde1ef1027edf6698e0b3ebef2a3aeff","observation_id":"ec15c683-4e5a-45bf-829d-09c7b5b63a1f","resolution":{"observed_at":"2026-08-12T13:19:11.826207Z","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":"2026-08-12T13:19:12.130239Z","title":"Jedi: Joint- image diffusion models for finetuning-free personalized text- to-image generation","venue":null,"work_id":"0fcdaf44-0083-45df-a0b1-185bdeb5ec9c","year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.830046Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:033d7b7c3fc96f2e1c197d3a153134f064112379fbdda074757962f6749d4868","observation_id":"4f4071a8-a7c2-43c1-8e66-52bda57e504b","resolution":{"observed_at":"2026-08-12T13:19:12.135866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:11.833988Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.833988Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:11d05f71a0b5b92635962cf36e723060d1489432bc42da1fda7c021d5008f10c","observation_id":"18f0cd6a-55d0-4cd7-abd4-fd10d96ed48d","resolution":{"observed_at":"2026-08-12T13:19:11.833988Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00448","last_updated":"2024-11-20T09:40:14Z","snapshot_observed_at":"2026-08-13T00:17:43.663522Z","submitted_at":"2024-05-01T11:04:22Z","title":"MMTryon: Multi-Modal Multi-Reference Control for High-Quality Fashion Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.00448","snapshot_observed_at":"2026-08-12T13:19:11.837763Z","title":"Mmtryon: Multi-modal multi-reference control for high-quality fashion generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.837763Z"},"links":{"cited_paper":"/paper/2405.00448","citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:c178c0ca153fbc3a86a711ac90f3d81f8748d0ab204b14613e61c31830368d68","observation_id":"7412649c-73cf-4549-8551-c5089c2ffc34","resolution":{"observed_at":"2026-08-12T13:19:11.837763Z","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":"2026-08-12T13:19:12.108322Z","title":"Tryondiffusion: A tale of two un- ets","venue":null,"work_id":"e6636f89-5ee2-4f1e-a093-5880ebe17ebc","year":2023},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.842143Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:847a5d3bb5dc15249200ebe58df8f1221bfb5c0bb0821036511e2be9268f7d71","observation_id":"8139bbf3-9872-4868-9396-cedec729d9aa","resolution":{"observed_at":"2026-08-12T13:19:12.112379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:19:12.093931Z","title":"… in front of the Eiffel Tower","venue":null,"work_id":"3f03b9fe-ec9a-400f-be29-94585e6fce99","year":2024},"citing_paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T13:19:11.846730Z"},"links":{"citing_paper":"/paper/2411.16801"},"observation_digest":"sha256:72b2179f4499734fabf3a650e3a72d063e49468115f43723a2353781f0239275","observation_id":"3b5487a4-9489-4053-8fff-0ab615efc4c1","resolution":{"observed_at":"2026-08-12T13:19:12.099174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.16801","last_updated":"2025-04-01T04:36:01Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T17:46:14.488311Z","submitted_at":"2024-11-25T12:37:13Z","title":"Controllable Human Image Generation with Personalized Multi-Garments"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":0,"verified_fuzzy":30},"total_outbound_references":60},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2411.16801."}