{"as_of":"2026-08-20T02:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:676623154c938fa8c51d927b16e02ca6bc63bc5090b35a86bebde864a0567cb4","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:35:23.044278Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T05:48:44.086426Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-17T03:51:29.458587Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.12395","snapshot_observed_at":"2026-08-16T05:48:44.086426Z","title":"arXiv preprint arXiv:2504.12395 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.19724","last_updated":"2025-04-28T12:19:53Z","snapshot_observed_at":"2026-08-17T23:10:34.175088Z","submitted_at":"2025-04-28T12:19:53Z","title":"RepText: Rendering Visual Text via Replicating","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T05:48:44.086426Z"},"links":{"cited_paper":"/paper/2504.12395","citing_paper":"/paper/2504.19724"},"observation_digest":"sha256:0df51bb1edb1f230f7968e2994ac2f86f81e5112734a5263c078ec66c24e0917","observation_id":"4e020307-4300-4ade-baf9-2a66862b4b2a","resolution":{"observed_at":"2026-08-16T05:48:44.086426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.12395","snapshot_observed_at":"2026-08-07T15:43:34.737370Z","title":"Instantcharacter: Personalize any characters with a scalable diffusion transformer framework","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.14135","last_updated":"2025-05-28T13:11:02Z","snapshot_observed_at":"2026-08-14T08:02:29.963745Z","submitted_at":"2025-05-20T09:39:48Z","title":"Hunyuan-Game: Industrial-grade Intelligent Game Creation Model","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T15:43:34.737370Z"},"links":{"cited_paper":"/paper/2504.12395","citing_paper":"/paper/2505.14135"},"observation_digest":"sha256:e33e0dc4e91ec5120cc3146062145557e9ab8c0c0cbb7b4987bdc59f28118d2e","observation_id":"a8899e6e-bf72-4845-89a6-0ab9694ecf98","resolution":{"observed_at":"2026-08-07T15:43:34.737370Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"cited_work":{"arxiv_id":"2504.12395","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.12395","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Instantcharacter: Personalize any characters with a scalable diffusion transformer frame- work","venue":null,"work_id":"9c6af5be-237f-41b0-ba8a-0467a278d65a","year":2025},"citing_paper":{"arxiv_id":"2512.01236","last_updated":"2026-04-09T08:04:17Z","snapshot_observed_at":"2026-08-14T07:05:40.400161Z","submitted_at":"2025-12-01T03:25:49Z","title":"PSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-17T03:49:05.489626Z"},"links":{"cited_paper":"/paper/2504.12395","citing_paper":"/paper/2512.01236"},"observation_digest":"sha256:48cca81a07b97b48f54c74352aded0879fed7aac6462cfd137e0abadf4178ee0","observation_id":"611d81e7-fc38-4357-a04b-789ef2f9fd45","resolution":{"observed_at":"2026-05-17T03:51:29.460887Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"cited_work":{"arxiv_id":"2504.12395","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.12395","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Instantcharacter: Personalize any characters with a scalable diffusion transformer frame- work","venue":null,"work_id":"9c6af5be-237f-41b0-ba8a-0467a278d65a","year":2025},"citing_paper":{"arxiv_id":"2604.03225","last_updated":"2026-04-03T17:50:29Z","snapshot_observed_at":"2026-08-13T08:34:01.132339Z","submitted_at":"2026-04-03T17:50:29Z","title":"VOSR: A Vision-Only Generative Model for Image Super-Resolution","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-13T20:33:09.233852Z"},"links":{"cited_paper":"/paper/2504.12395","citing_paper":"/paper/2604.03225"},"observation_digest":"sha256:05e840dda0f40a55e6539a02ad94be2ed28e3431a2114e924eba419c0472b9d3","observation_id":"84c625a4-9051-4f34-b8bf-441123b38487","resolution":{"observed_at":"2026-05-13T20:33:14.605813Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"cited_work":{"arxiv_id":"2504.12395","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.12395","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Instantcharacter: Personalize any characters with a scalable diffusion transformer frame- work","venue":null,"work_id":"9c6af5be-237f-41b0-ba8a-0467a278d65a","year":2025},"citing_paper":{"arxiv_id":"2604.28185","last_updated":"2026-04-30T17:59:02Z","snapshot_observed_at":"2026-08-10T07:23:48.304270Z","submitted_at":"2026-04-30T17:59:02Z","title":"Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-05-07T06:38:04.459129Z"},"links":{"cited_paper":"/paper/2504.12395","citing_paper":"/paper/2604.28185"},"observation_digest":"sha256:a63dbe71c96858ea96ea8d1f641ee7b8600ed01346a2fda97e9345fefb2d5444","observation_id":"7c6420ec-3284-4d02-98d6-12d4e56b3f0a","resolution":{"observed_at":"2026-05-12T10:16:28.874266Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.12395","snapshot_observed_at":"2026-08-01T01:55:51.546257Z","title":"Instantcharacter: Personalize any characters with a scalable diffusion transformer framework.arXiv preprint arXiv:2504.12395, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.25622","last_updated":"2026-07-28T12:02:13Z","snapshot_observed_at":"2026-08-16T19:12:56.983764Z","submitted_at":"2026-07-28T12:02:13Z","title":"Beyond Facial Consistency: Personalized Person Image Generation with Holistic Identity Preservation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T01:55:51.546257Z"},"links":{"cited_paper":"/paper/2504.12395","citing_paper":"/paper/2607.25622"},"observation_digest":"sha256:d7afae296153da274dbee718ecd3ac5802ec52574c7303032c390a21388dc6e1","observation_id":"bc0758ba-8b99-4226-84d4-d5f25d036341","resolution":{"observed_at":"2026-08-01T01:55:51.546257Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.12395/citation-record","integrity":"/paper/2504.12395/integrity","json":"/paper/2504.12395/citation-record.json","paper":"/paper/2504.12395"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:35:23.477343Z","title":"ACM transactions on Graphics (TOG) 42(4), 1–10 (2023)","venue":null,"work_id":"afaa99e7-bbbd-4c36-a053-3cc7ec5e658d","year":2023},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.938213Z"},"links":{"citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:620464bc0493c4db06bb0ec95e38ae858bb8e91165f938c786a496b3a9116401","observation_id":"39dbd01e-ba3c-4be3-8244-7d9c62884975","resolution":{"observed_at":"2026-08-16T12:35:23.481742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:35:22.943074Z","title":"In: Forty-first international conference on machine learning (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.943074Z"},"links":{"citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:548ac20e165d58e24a69373201c017efef7bf56f3610219951ab1f84261ed405","observation_id":"38405a51-d66a-4049-97d5-a1dbf9a1f1ea","resolution":{"observed_at":"2026-08-16T12:35:22.943074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.12590","last_updated":"2025-03-16T17:51:16Z","snapshot_observed_at":"2026-08-16T12:49:34.827685Z","submitted_at":"2025-03-16T17:51:16Z","title":"Personalize Anything for Free with Diffusion Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.12590","snapshot_observed_at":"2026-08-16T12:35:22.947117Z","title":"arXiv preprint arXiv:2503.12590 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.947117Z"},"links":{"cited_paper":"/paper/2503.12590","citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:fcedfc844880f9171a4239330202df4b82c39bec8d45269f9cbe99e4c7a2332a","observation_id":"4ead6ac9-6535-4f9e-932c-66dbca2417cd","resolution":{"observed_at":"2026-08-16T12:35:22.947117Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.01618","last_updated":"2022-08-02T17:50:36Z","snapshot_observed_at":"2026-08-02T23:40:32.342515Z","submitted_at":"2022-08-02T17:50:36Z","title":"An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.01618","snapshot_observed_at":"2026-08-16T12:35:22.952058Z","title":"arXiv preprint arXiv:2208.01618 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.952058Z"},"links":{"cited_paper":"/paper/2208.01618","citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:fb4b7bf9790e78866476bbe51b9936d6b723320c81348779412777f808b220d7","observation_id":"4750cf2c-9891-43b6-bddd-eea59b006e53","resolution":{"observed_at":"2026-08-16T12:35:22.952058Z","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":"2026-08-16T12:35:23.453321Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"5a0aa2f3-b47c-4fcf-9e1f-050853d1510f","year":2024},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.956643Z"},"links":{"citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:660e74baa0005011505a9805e2489d60c964de3f8f58e834dc48e517ab2a1095","observation_id":"3a5b53b9-64d7-42e8-9d0f-ec00af1af80a","resolution":{"observed_at":"2026-08-16T12:35:23.457638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-08-15T14:02:47.366139Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-16T12:35:22.960863Z","title":"arXiv preprint arXiv:2410.21276 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.960863Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:f707b28828125b4615b488ba4f45a2e9bcbef12889ad8e663b1ca55c67debfce","observation_id":"60f72950-ed2a-4eef-9954-f35d961c1449","resolution":{"observed_at":"2026-08-16T12:35:22.960863Z","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":"2026-08-16T12:35:23.439485Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"38cd8269-f278-4082-8008-98496b8e67ba","year":2023},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.965662Z"},"links":{"citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:c9123f65c19a3a870e39b752a648d343a62da338b8f17fe1abe15f36dd26ead7","observation_id":"994c2614-d066-4bbf-8853-d3ca7be765d7","resolution":{"observed_at":"2026-08-16T12:35:23.444037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:35:23.425147Z","title":null,"venue":null,"work_id":"1bf87feb-3a02-42b2-a8f9-8dc2bd20ea74","year":2024},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.969734Z"},"links":{"citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:7f4f4e4af06bb120613ce6bbcbdf9657cbc18fa99e6aadd366247a00d92cc86a","observation_id":"2dd8bdc4-ab07-49ec-a5bb-1271584634bd","resolution":{"observed_at":"2026-08-16T12:35:23.429422Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:35:23.410778Z","title":"Advances in Neural Information Processing Systems 36, 30146–30166 (2023)","venue":null,"work_id":"bf9cb457-ad10-4d66-9fed-c7f87274e55d","year":2023},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.973731Z"},"links":{"citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:7eae3574ea0fcceb640d0357c542277fb1dc89f82ad4886536348317cbe952c8","observation_id":"bd27bdb2-5da3-4c55-8e53-6643515a840d","resolution":{"observed_at":"2026-08-16T12:35:23.415769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T12:35:23.396684Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":"06fcf72e-211d-4971-a356-3fa229030220","year":2024},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.977678Z"},"links":{"citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:39eba1e33cd31e9fb5538a7f5ae1352c8604a32a498ae728a85cfe0e3c0da9e0","observation_id":"eac6e038-d6a9-4853-b7aa-efe8689b1931","resolution":{"observed_at":"2026-08-16T12:35:23.401058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.02487","last_updated":"2025-01-15T13:07:56Z","snapshot_observed_at":"2026-08-16T12:59:41.777279Z","submitted_at":"2025-01-05T09:40:58Z","title":"ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.02487","snapshot_observed_at":"2026-08-16T12:35:22.981677Z","title":"arXiv preprint arXiv:2501.02487 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.981677Z"},"links":{"cited_paper":"/paper/2501.02487","citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:7e9c540be698127b54f4d27385c0f74dc166c37cd200693e99d42c7e9c50a975","observation_id":"228d1020-e708-4b8f-99b6-34e25361630a","resolution":{"observed_at":"2026-08-16T12:35:22.981677Z","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":"2026-08-16T12:35:22.985834Z","title":"arXiv preprint arXiv:2408.09744 (2024) 8","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.985834Z"},"links":{"citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:1d424fc3e4a53a582a3618d4766d960a7b490b6e43284844f123f3b1da7b8565","observation_id":"e4259ab3-93ee-43d2-b34a-464cded263c4","resolution":{"observed_at":"2026-08-16T12:35:22.985834Z","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":"2026-08-16T12:35:22.990230Z","title":"In: Proceedings of the AAAI conference on artificial intelligence","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.990230Z"},"links":{"citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:4a8e4c0bc6fc90c086aaaff2f652078d77e6c2a25531a32f34e0feda5f508570","observation_id":"29ab4a5b-2c0c-43ef-87a9-621a8d9bcf39","resolution":{"observed_at":"2026-08-16T12:35:22.990230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-17T13:03:40.359628Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-16T12:35:22.994159Z","title":"arXiv preprint arXiv:2304.07193 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.994159Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:a2cd0238af97538c8fb82847e6c84e8a2821b04dd4d630edb3aadd98c06feca3","observation_id":"4df09472-b3bb-432b-9814-8b97bbeb5278","resolution":{"observed_at":"2026-08-16T12:35:22.994159Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01952","last_updated":"2023-07-04T23:04:57Z","snapshot_observed_at":"2026-08-14T22:54:08.184266Z","submitted_at":"2023-07-04T23:04:57Z","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01952","snapshot_observed_at":"2026-08-16T12:35:22.998437Z","title":"arXiv preprint arXiv:2307.01952 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:22.998437Z"},"links":{"cited_paper":"/paper/2307.01952","citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:7b7ca337e09995746bf8ee0e2eae668df7198529a6d13d7d41dcc344873fe8c4","observation_id":"798f2f9b-91e5-4b09-ad4c-19eef76ccdd3","resolution":{"observed_at":"2026-08-16T12:35:22.998437Z","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":"2026-08-16T12:35:23.002645Z","title":"In: International conference on machine learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:23.002645Z"},"links":{"citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:b2bac5a38bc0aaedcb988c7f8588e9a79597e19c9fc165ffe6c24692bf5ff1a5","observation_id":"5c287332-d526-4e44-bda4-acb6650f0458","resolution":{"observed_at":"2026-08-16T12:35:23.002645Z","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":"2026-08-16T12:35:23.006682Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:23.006682Z"},"links":{"citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:4006e0fe74d6ee49d582e8860aaaeafe2b69e53a71723cc0d96d0e19da2bcdc8","observation_id":"0a0e7c80-32f6-4814-8083-790b0038a531","resolution":{"observed_at":"2026-08-16T12:35:23.006682Z","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":"2026-08-16T12:35:23.010741Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:23.010741Z"},"links":{"citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:c9bdc3a7014404421344b3819c70024fe6fb0ae71e04ca44902807afa7aea4a2","observation_id":"5c3f15bf-a397-47d8-9ac4-941e304ebaa1","resolution":{"observed_at":"2026-08-16T12:35:23.010741Z","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":"2026-08-16T12:35:23.348179Z","title":"In: European Conference on Computer Vision","venue":null,"work_id":"028ee86a-69ad-40b6-b0a2-6b1407779150","year":2024},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:23.014695Z"},"links":{"citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:1fe9af835140d775f74bab750aec22f44e52ab47047a293abea282f6b285f999","observation_id":"dd829872-2aa1-4205-8873-b256f88af542","resolution":{"observed_at":"2026-08-16T12:35:23.353534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.15098","last_updated":"2025-07-07T17:33:23Z","snapshot_observed_at":"2026-08-12T17:19:10.028618Z","submitted_at":"2024-11-22T17:55:15Z","title":"OminiControl: Minimal and Universal Control for Diffusion Transformer","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.15098","snapshot_observed_at":"2026-08-16T12:35:23.018704Z","title":"arXiv preprint arXiv:2411.15098 3 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:23.018704Z"},"links":{"cited_paper":"/paper/2411.15098","citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:a81cdb42e972dc83e3ed7ebf07f99e7e58582668334af1fae9e65c9694dd4d87","observation_id":"ebe09026-1380-4078-9e33-7fd3150a51f7","resolution":{"observed_at":"2026-08-16T12:35:23.018704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15677","last_updated":"2024-04-27T14:24:15Z","snapshot_observed_at":"2026-08-18T22:48:21.434266Z","submitted_at":"2024-04-24T06:15:31Z","title":"CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15677","snapshot_observed_at":"2026-08-16T12:35:23.023282Z","title":"arXiv preprint arXiv:2404.15677 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:23.023282Z"},"links":{"cited_paper":"/paper/2404.15677","citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:caae9bdbe3ae8d86323f6f582ef82def6f9f7cdd341679abc9a87c544fbaf430","observation_id":"358df40a-a657-4c17-9306-7677ab85f47f","resolution":{"observed_at":"2026-08-16T12:35:23.023282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.07519","last_updated":"2024-02-02T16:15:22Z","snapshot_observed_at":"2026-08-16T06:18:35.139211Z","submitted_at":"2024-01-15T07:50:18Z","title":"InstantID: Zero-shot Identity-Preserving Generation in Seconds","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.07519","snapshot_observed_at":"2026-08-16T12:35:23.027664Z","title":"arXiv preprint arXiv:2401.07519 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:23.027664Z"},"links":{"cited_paper":"/paper/2401.07519","citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:52848c15db9d5303af8266c3b6334df733cbdae92566325077a93b1ac5922f17","observation_id":"1d656fa4-2786-4dd4-b87e-4ea689fb8f22","resolution":{"observed_at":"2026-08-16T12:35:23.027664Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.02160","last_updated":"2025-04-02T22:20:21Z","snapshot_observed_at":"2026-08-19T15:53:04.710976Z","submitted_at":"2025-04-02T22:20:21Z","title":"Less-to-More Generalization: Unlocking More Controllability by In-Context Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.02160","snapshot_observed_at":"2026-08-16T12:35:23.031855Z","title":"arXiv preprint arXiv:2504.02160 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:23.031855Z"},"links":{"cited_paper":"/paper/2504.02160","citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:fbae3c42323470192b18860c91736cccf6ccf212ad7da59f1906566c340a334b","observation_id":"be8c8d76-661d-4503-acfa-de7ea0b70cb9","resolution":{"observed_at":"2026-08-16T12:35:23.031855Z","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":"2026-08-16T12:35:23.036035Z","title":"arXiv preprint arXiv:2308.06721 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:23.036035Z"},"links":{"cited_paper":"/paper/2308.06721","citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:263d0d2e51a5bfd5914f06ca3acafebe683d12c97291790980da0584f73d653e","observation_id":"a0c79a0e-1cb7-43c4-9b17-3cbbafa2ca64","resolution":{"observed_at":"2026-08-16T12:35:23.036035Z","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":"2026-08-16T12:35:23.040189Z","title":"In: Proceedings of the IEEE/CVF international conference on computer vision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:23.040189Z"},"links":{"citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:dab71797fcaa433f021e18d321b85dccdb01b9b95650aff830493fbb1d959e25","observation_id":"19c0af8e-d238-4553-bc48-26183a7a82ee","resolution":{"observed_at":"2026-08-16T12:35:23.040189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07027","last_updated":"2025-03-10T08:07:17Z","snapshot_observed_at":"2026-08-16T19:12:37.996751Z","submitted_at":"2025-03-10T08:07:17Z","title":"EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07027","snapshot_observed_at":"2026-08-16T12:35:23.044278Z","title":"arXiv preprint arXiv:2503.07027 (2025) 9","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T12:35:23.044278Z"},"links":{"cited_paper":"/paper/2503.07027","citing_paper":"/paper/2504.12395"},"observation_digest":"sha256:c8af2813dd5872d3d92e04083f9386a8b5842f177a7fbe8afb5f96504d694729","observation_id":"b6f24679-f250-43e1-8ea4-6b7e01767250","resolution":{"observed_at":"2026-08-16T12:35:23.044278Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2504.12395","last_updated":"2025-04-16T18:01:59Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T19:13:06.570964Z","submitted_at":"2025-04-16T18:01:59Z","title":"InstantCharacter: Personalize Any Characters with a Scalable Diffusion Transformer Framework"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":20,"verified_exact":0,"verified_fuzzy":6},"total_outbound_references":26},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 6 inbound Pith citation observations for arXiv:2504.12395."}