{"as_of":"2026-08-09T15:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b8524453a1c816caf30b72c4efb30db2eba0ffcfe85e3bd81502240e0807a5df","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:06:17.899632Z","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":"2026-07-04T08:49:42.391190Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.03374","last_updated":"2024-02-27T02:45:34Z","snapshot_observed_at":"2026-08-05T15:36:02.045738Z","submitted_at":"2023-05-05T09:08:25Z","title":"DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation","version":4},"cited_work":{"arxiv_id":"2305.03374","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.03374","snapshot_observed_at":"2026-07-04T08:49:42.391190Z","title":"Disenbooth: Disentangled parameter-efficient tuning for subject-driven text-to-image generation","venue":null,"work_id":"53a63122-dc79-4ad7-819c-ee610fa522d3","year":2023},"citing_paper":{"arxiv_id":"2411.19182","last_updated":"2026-05-07T04:53:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-11-28T14:35:25Z","title":"SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-23T08:37:13.529654Z"},"links":{"cited_paper":"/paper/2305.03374","citing_paper":"/paper/2411.19182"},"observation_digest":"sha256:7d9f1fe16ee138b512a26436c153d96496a9166dfba8d322b9b342e2ba0275f0","observation_id":"93c57122-30b7-487f-8fa0-4a5063e3401a","resolution":{"observed_at":"2026-05-23T08:37:44.708892Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03374","last_updated":"2024-02-27T02:45:34Z","snapshot_observed_at":"2026-08-05T15:36:02.045738Z","submitted_at":"2023-05-05T09:08:25Z","title":"DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation","version":4},"cited_work":{"arxiv_id":"2305.03374","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.03374","snapshot_observed_at":"2026-07-04T08:49:42.391190Z","title":"Disenbooth: Disentangled parameter-efficient tuning for subject-driven text-to-image generation","venue":null,"work_id":"53a63122-dc79-4ad7-819c-ee610fa522d3","year":2023},"citing_paper":{"arxiv_id":"2412.12242","last_updated":"2026-04-10T10:12:32Z","snapshot_observed_at":"2026-07-06T20:08:02.963967Z","submitted_at":"2024-12-16T18:59:52Z","title":"OmniPrism: Learning Disentangled Visual Concept for Image Generation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-23T06:42:59.835198Z"},"links":{"cited_paper":"/paper/2305.03374","citing_paper":"/paper/2412.12242"},"observation_digest":"sha256:1f2da77b1cfad3fc6a0137d26a7e822e1b3915b7eb1d4370b8869cb14d766f65","observation_id":"a5e1d0c3-b1af-4478-94d4-8d333b1d4c06","resolution":{"observed_at":"2026-05-23T06:45:28.404997Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03374","last_updated":"2024-02-27T02:45:34Z","snapshot_observed_at":"2026-08-05T15:36:02.045738Z","submitted_at":"2023-05-05T09:08:25Z","title":"DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.03374","snapshot_observed_at":"2026-08-07T13:06:17.899632Z","title":"Dis- enbooth: Disentangled parameter-efficient tuning for subject-driven text-to-image generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22663","last_updated":"2025-07-01T17:38:27Z","snapshot_observed_at":"2026-08-09T07:19:28.132692Z","submitted_at":"2025-05-28T17:59:57Z","title":"Training Free Stylized Abstraction","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:06:17.899632Z"},"links":{"cited_paper":"/paper/2305.03374","citing_paper":"/paper/2505.22663"},"observation_digest":"sha256:75b25fb921a62395c67b43773aada6585c4a6f54d9653ec559682ccc7440c069","observation_id":"9298d372-8895-4aab-83bc-ec5847226afd","resolution":{"observed_at":"2026-08-07T13:06:17.899632Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03374","last_updated":"2024-02-27T02:45:34Z","snapshot_observed_at":"2026-08-05T15:36:02.045738Z","submitted_at":"2023-05-05T09:08:25Z","title":"DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation","version":4},"cited_work":{"arxiv_id":"2305.03374","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.03374","snapshot_observed_at":"2026-07-04T08:49:42.391190Z","title":"Disenbooth: Disentangled parameter-efficient tuning for subject-driven text-to-image generation","venue":null,"work_id":"53a63122-dc79-4ad7-819c-ee610fa522d3","year":2023},"citing_paper":{"arxiv_id":"2506.23690","last_updated":"2026-04-28T09:27:09Z","snapshot_observed_at":"2026-07-06T21:49:38.384518Z","submitted_at":"2025-06-30T10:09:32Z","title":"SynMotion: Semantic-Visual Adaptation for Motion Customized Video Generation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-19T07:59:49.398271Z"},"links":{"cited_paper":"/paper/2305.03374","citing_paper":"/paper/2506.23690"},"observation_digest":"sha256:acd69588754f6c20e5f2cdb6db6dff888cd0c927426c309900483320e4a677b4","observation_id":"c220ff5a-f357-4427-9873-d3378da0e767","resolution":{"observed_at":"2026-05-19T08:02:10.472948Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03374","last_updated":"2024-02-27T02:45:34Z","snapshot_observed_at":"2026-08-05T15:36:02.045738Z","submitted_at":"2023-05-05T09:08:25Z","title":"DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.03374","snapshot_observed_at":"2026-08-05T21:57:28.404841Z","title":"Disenbooth: Identity- preserving disentangled tuning for subject-driven text-to- image generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.07755","last_updated":"2025-08-11T08:36:29Z","snapshot_observed_at":"2026-08-09T08:12:32.690857Z","submitted_at":"2025-08-11T08:36:29Z","title":"Comparison Reveals Commonality: Customized Image Generation through Contrastive Inversion","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T21:57:28.404841Z"},"links":{"cited_paper":"/paper/2305.03374","citing_paper":"/paper/2508.07755"},"observation_digest":"sha256:86ee467df6ee51f52398278fee4f4ce13627debda5f48157bb5d6a526fe1efef","observation_id":"64548b44-3476-43fe-812d-5d003adf9506","resolution":{"observed_at":"2026-08-05T21:57:28.404841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03374","last_updated":"2024-02-27T02:45:34Z","snapshot_observed_at":"2026-08-05T15:36:02.045738Z","submitted_at":"2023-05-05T09:08:25Z","title":"DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.03374","snapshot_observed_at":"2026-08-05T15:44:47.645478Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.19575","last_updated":"2025-08-28T01:28:08Z","snapshot_observed_at":"2026-08-07T22:08:57.434420Z","submitted_at":"2025-08-27T05:15:16Z","title":"Interact-Custom: Customized Human Object Interaction Image Generation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T15:44:47.645478Z"},"links":{"cited_paper":"/paper/2305.03374","citing_paper":"/paper/2508.19575"},"observation_digest":"sha256:d79b3f9599c1effd62bc4645a316c9bdc48a63904f36821a81fc3e0dd56f001c","observation_id":"f527bea8-d208-4f4f-bcf8-f8afab1086d0","resolution":{"observed_at":"2026-08-05T15:44:47.645478Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03374","last_updated":"2024-02-27T02:45:34Z","snapshot_observed_at":"2026-08-05T15:36:02.045738Z","submitted_at":"2023-05-05T09:08:25Z","title":"DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation","version":4},"cited_work":{"arxiv_id":"2305.03374","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.03374","snapshot_observed_at":"2026-07-04T08:49:42.391190Z","title":"Disenbooth: Disentangled parameter-efficient tuning for subject-driven text-to-image generation","venue":null,"work_id":"53a63122-dc79-4ad7-819c-ee610fa522d3","year":2023},"citing_paper":{"arxiv_id":"2605.07257","last_updated":"2026-05-08T05:24:52Z","snapshot_observed_at":"2026-07-06T23:19:41.053744Z","submitted_at":"2026-05-08T05:24:52Z","title":"Adaptive Subspace Projection for Generative Personalization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-11T01:28:54.996340Z"},"links":{"cited_paper":"/paper/2305.03374","citing_paper":"/paper/2605.07257"},"observation_digest":"sha256:53687fe751b724baff89ec4fac279ca35797b7624415a3f5c659cf6ba0fcdff1","observation_id":"b955b331-7c9f-4a5e-ae61-be9ae5fd88e1","resolution":{"observed_at":"2026-05-11T01:45:52.223797Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03374","last_updated":"2024-02-27T02:45:34Z","snapshot_observed_at":"2026-08-05T15:36:02.045738Z","submitted_at":"2023-05-05T09:08:25Z","title":"DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation","version":4},"cited_work":{"arxiv_id":"2305.03374","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.03374","snapshot_observed_at":"2026-07-04T08:49:42.391190Z","title":"Disenbooth: Disentangled parameter-efficient tuning for subject-driven text-to-image generation","venue":null,"work_id":"53a63122-dc79-4ad7-819c-ee610fa522d3","year":2023},"citing_paper":{"arxiv_id":"2606.19629","last_updated":"2026-06-17T22:16:13Z","snapshot_observed_at":"2026-08-04T16:33:45.509966Z","submitted_at":"2026-06-17T22:16:13Z","title":"RIVET: Robust Idempotent Voice Attribute Editing","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-26T18:50:54.353334Z"},"links":{"cited_paper":"/paper/2305.03374","citing_paper":"/paper/2606.19629"},"observation_digest":"sha256:65ec0ce69b643671b4cbe0e3fa61ffb5aad46d8a589c1261609faf3713605b42","observation_id":"e89dd0f4-8b8d-42e8-b380-017f2f874d09","resolution":{"observed_at":"2026-07-04T02:49:25.474582Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03374","last_updated":"2024-02-27T02:45:34Z","snapshot_observed_at":"2026-08-05T15:36:02.045738Z","submitted_at":"2023-05-05T09:08:25Z","title":"DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation","version":4},"cited_work":{"arxiv_id":"2305.03374","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.03374","snapshot_observed_at":"2026-07-04T08:49:42.391190Z","title":"Disenbooth: Disentangled parameter-efficient tuning for subject-driven text-to-image generation","venue":null,"work_id":"53a63122-dc79-4ad7-819c-ee610fa522d3","year":2023},"citing_paper":{"arxiv_id":"2606.22304","last_updated":"2026-06-21T02:14:37Z","snapshot_observed_at":"2026-08-06T16:35:35.585035Z","submitted_at":"2026-06-21T02:14:37Z","title":"Encoder-Decoder Manifold Alignment for Idempotent Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-26T11:19:21.734052Z"},"links":{"cited_paper":"/paper/2305.03374","citing_paper":"/paper/2606.22304"},"observation_digest":"sha256:338633abe004de9e950d2662c5685aa66783ef93f517217362b7909a2012730f","observation_id":"18920cd2-6e4f-4e2a-a887-3ac46dee8eba","resolution":{"observed_at":"2026-07-04T08:39:41.907985Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03374","last_updated":"2024-02-27T02:45:34Z","snapshot_observed_at":"2026-08-05T15:36:02.045738Z","submitted_at":"2023-05-05T09:08:25Z","title":"DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation","version":4},"cited_work":{"arxiv_id":"2305.03374","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.03374","snapshot_observed_at":"2026-07-04T08:49:42.391190Z","title":"Disenbooth: Disentangled parameter-efficient tuning for subject-driven text-to-image generation","venue":null,"work_id":"53a63122-dc79-4ad7-819c-ee610fa522d3","year":2023},"citing_paper":{"arxiv_id":"2606.22347","last_updated":"2026-06-21T05:56:28Z","snapshot_observed_at":"2026-07-06T23:57:14.069903Z","submitted_at":"2026-06-21T05:56:28Z","title":"Customizing Video Portraits via Identity-ActionDecoupling","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-06-26T10:56:11.553110Z"},"links":{"cited_paper":"/paper/2305.03374","citing_paper":"/paper/2606.22347"},"observation_digest":"sha256:178ba3b3f04634e54bae2aa875f69cdb4103d5f0b13241209b62d97253c582e2","observation_id":"648d868b-3148-4bb1-8d73-ad8a46a78eff","resolution":{"observed_at":"2026-07-04T08:49:42.392781Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.03374/citation-record","integrity":"/paper/2305.03374/integrity","json":"/paper/2305.03374/citation-record.json","paper":"/paper/2305.03374"},"outbound":[],"paper":{"arxiv_id":"2305.03374","last_updated":"2024-02-27T02:45:34Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T15:36:02.045738Z","submitted_at":"2023-05-05T09:08:25Z","title":"DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2305.03374."}