{"as_of":"2026-08-17T21:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:45d944f99c74f8c4941e385ee1d76c170c47c63109f89148b2db01e3b0f11353","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T20:57:23.318743Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T13:26:23.589848Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.14201","last_updated":"2024-05-27T03:14:02Z","snapshot_observed_at":"2026-08-16T13:50:22.408161Z","submitted_at":"2024-05-23T06:01:13Z","title":"FreeTuner: Any Subject in Any Style with Training-free Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14201","snapshot_observed_at":"2026-08-11T20:57:23.318743Z","title":"Freetuner: Any subject in any style with training-free diffu- sion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05148","last_updated":"2025-08-10T17:09:36Z","snapshot_observed_at":"2026-08-17T19:31:44.140050Z","submitted_at":"2024-12-06T16:04:56Z","title":"LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T20:57:23.318743Z"},"links":{"cited_paper":"/paper/2405.14201","citing_paper":"/paper/2412.05148"},"observation_digest":"sha256:de76cda5524540bb35ec878622d9ce1309d5a93456d3b7f9504089cd5bd5e0d2","observation_id":"f3399006-d3c3-402d-b699-719c804dec77","resolution":{"observed_at":"2026-08-11T20:57:23.318743Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14201","last_updated":"2024-05-27T03:14:02Z","snapshot_observed_at":"2026-08-16T13:50:22.408161Z","submitted_at":"2024-05-23T06:01:13Z","title":"FreeTuner: Any Subject in Any Style with Training-free Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14201","snapshot_observed_at":"2026-08-08T12:49:57.593072Z","title":"Freetuner: Any subject in any style with training-free diffusion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07466","last_updated":"2025-02-11T11:17:39Z","snapshot_observed_at":"2026-08-16T19:34:58.426859Z","submitted_at":"2025-02-11T11:17:39Z","title":"Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-08T12:49:57.593072Z"},"links":{"cited_paper":"/paper/2405.14201","citing_paper":"/paper/2502.07466"},"observation_digest":"sha256:95a983799da12c2cae3789af4e490de5e70a0013bfebf839128e51b6ff9bd2d1","observation_id":"a48e072f-23df-4f0f-850b-c059f615a796","resolution":{"observed_at":"2026-08-08T12:49:57.593072Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14201","last_updated":"2024-05-27T03:14:02Z","snapshot_observed_at":"2026-08-16T13:50:22.408161Z","submitted_at":"2024-05-23T06:01:13Z","title":"FreeTuner: Any Subject in Any Style with Training-free Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14201","snapshot_observed_at":"2026-08-07T15:43:16.001744Z","title":"Freetuner: Any subject in any style with training-free diffu- sion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14028","last_updated":"2025-05-20T07:29:21Z","snapshot_observed_at":"2026-08-08T14:58:50.166431Z","submitted_at":"2025-05-20T07:29:21Z","title":"OmniStyle: Filtering High Quality Style Transfer Data at Scale","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T15:43:16.001744Z"},"links":{"cited_paper":"/paper/2405.14201","citing_paper":"/paper/2505.14028"},"observation_digest":"sha256:297534fa9a3cd752ccb69971e3910a412b2e780169d4788a69b284a738a23bb0","observation_id":"0cbd304d-7758-43a9-b9ec-c6fd9b681c1f","resolution":{"observed_at":"2026-08-07T15:43:16.001744Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14201","last_updated":"2024-05-27T03:14:02Z","snapshot_observed_at":"2026-08-16T13:50:22.408161Z","submitted_at":"2024-05-23T06:01:13Z","title":"FreeTuner: Any Subject in Any Style with Training-free Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14201","snapshot_observed_at":"2026-08-07T12:57:02.582930Z","title":"Freetuner: Any subject in any style with training-free diffusion.arXiv preprint arXiv:2405.14201, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23134","last_updated":"2025-05-29T06:10:16Z","snapshot_observed_at":"2026-08-14T15:32:44.551913Z","submitted_at":"2025-05-29T06:10:16Z","title":"Zero-to-Hero: Zero-Shot Initialization Empowering Reference-Based Video Appearance Editing","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T12:57:02.582930Z"},"links":{"cited_paper":"/paper/2405.14201","citing_paper":"/paper/2505.23134"},"observation_digest":"sha256:ab3ce0c81d0a973aa1694e119f03b8164ee0bc09bace5f342d1cb20d669fff7d","observation_id":"52df8723-1e36-42d8-b5fe-8e9c63dad5a7","resolution":{"observed_at":"2026-08-07T12:57:02.582930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14201","last_updated":"2024-05-27T03:14:02Z","snapshot_observed_at":"2026-08-16T13:50:22.408161Z","submitted_at":"2024-05-23T06:01:13Z","title":"FreeTuner: Any Subject in Any Style with Training-free Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14201","snapshot_observed_at":"2026-08-06T19:59:28.911258Z","title":"Freetuner: Any subject in any style with training-free diffusion","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.04218","last_updated":"2025-07-06T03:06:45Z","snapshot_observed_at":"2026-08-14T00:47:18.914829Z","submitted_at":"2025-07-06T03:06:45Z","title":"DreamPoster: A Unified Framework for Image-Conditioned Generative Poster Design","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T19:59:28.911258Z"},"links":{"cited_paper":"/paper/2405.14201","citing_paper":"/paper/2507.04218"},"observation_digest":"sha256:7cc8f0c53a8582a589690050b111740507507df6cd04164b27233b355b5a49bd","observation_id":"a74e2cd2-67c1-4e0e-bb57-6579f09bb301","resolution":{"observed_at":"2026-08-06T19:59:28.911258Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14201","last_updated":"2024-05-27T03:14:02Z","snapshot_observed_at":"2026-08-16T13:50:22.408161Z","submitted_at":"2024-05-23T06:01:13Z","title":"FreeTuner: Any Subject in Any Style with Training-free Diffusion","version":2},"cited_work":{"arxiv_id":"2405.14201","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.14201","snapshot_observed_at":"2026-08-06T13:26:23.589848Z","title":"FreeTuner: Any Subject in Any Style with Training-free Diffusion","venue":"cs.CV","work_id":"0d7fc967-ca34-45c9-a0ff-80f7a65e4df5","year":2024},"citing_paper":{"arxiv_id":"2507.20721","last_updated":"2025-07-28T11:19:14Z","snapshot_observed_at":"2026-08-13T07:55:48.180994Z","submitted_at":"2025-07-28T11:19:14Z","title":"AIComposer: Any Style and Content Image Composition via Feature Integration","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T13:26:22.664953Z"},"links":{"cited_paper":"/paper/2405.14201","citing_paper":"/paper/2507.20721"},"observation_digest":"sha256:1c89aa9e2c9b73598bdc88faaff77bafc82b2bbd8a74e788488383270933ed08","observation_id":"e49ed2e7-c719-41bc-a464-05ef16065472","resolution":{"observed_at":"2026-08-06T13:26:23.678210Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14201","last_updated":"2024-05-27T03:14:02Z","snapshot_observed_at":"2026-08-16T13:50:22.408161Z","submitted_at":"2024-05-23T06:01:13Z","title":"FreeTuner: Any Subject in Any Style with Training-free Diffusion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14201","snapshot_observed_at":"2026-07-11T15:20:36.988419Z","title":"arXiv preprint arXiv:2405.14201 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.04677","last_updated":"2026-07-06T05:06:38Z","snapshot_observed_at":"2026-08-16T15:50:55.933391Z","submitted_at":"2026-07-06T05:06:38Z","title":"AnyStyle: A Single LoRA is Sufficient for Image-Guided Style Transfer","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-07-11T15:20:36.988419Z"},"links":{"cited_paper":"/paper/2405.14201","citing_paper":"/paper/2607.04677"},"observation_digest":"sha256:1729e1cfd29654e16b352ceffcd37d104d1cf5fc502a40d5c4687e8d8836dd74","observation_id":"743f5ad5-e7e9-4229-894a-556ba26a3822","resolution":{"observed_at":"2026-07-11T15:20:36.988419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2405.14201/citation-record","integrity":"/paper/2405.14201/integrity","json":"/paper/2405.14201/citation-record.json","paper":"/paper/2405.14201"},"outbound":[],"paper":{"arxiv_id":"2405.14201","last_updated":"2024-05-27T03:14:02Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T13:50:22.408161Z","submitted_at":"2024-05-23T06:01:13Z","title":"FreeTuner: Any Subject in Any Style with Training-free Diffusion"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.14201."}