{"as_of":"2026-08-09T00:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4a63907229a5278c01fdc611406ec892886355b589d2a910cf21d6d654d72726","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T20:05:16.220898Z","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":"2026-05-17T21:20:17.117035Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.10040","last_updated":"2023-08-19T14:56:44Z","snapshot_observed_at":"2026-07-06T16:08:00.845026Z","submitted_at":"2023-08-19T14:56:44Z","title":"ControlCom: Controllable Image Composition using Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.10040","snapshot_observed_at":"2026-08-08T20:05:16.220898Z","title":"Controlcom: Controllable image composition using diffusion model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.05165","last_updated":"2025-02-07T18:48:54Z","snapshot_observed_at":"2026-08-08T19:59:31.310861Z","submitted_at":"2025-02-07T18:48:54Z","title":"Multitwine: Multi-Object Compositing with Text and Layout Control","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-08T20:05:16.220898Z"},"links":{"cited_paper":"/paper/2308.10040","citing_paper":"/paper/2502.05165"},"observation_digest":"sha256:759b3f30ddebf80b25e9805c24b26a88e78fdbf04245abf6020b3fca8a90ef15","observation_id":"f381e241-b1f2-44ae-bfa9-92faa49e1e97","resolution":{"observed_at":"2026-08-08T20:05:16.220898Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.10040","last_updated":"2023-08-19T14:56:44Z","snapshot_observed_at":"2026-07-06T16:08:00.845026Z","submitted_at":"2023-08-19T14:56:44Z","title":"ControlCom: Controllable Image Composition using Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.10040","snapshot_observed_at":"2026-08-07T13:35:51.303747Z","title":"Control- com: Controllable image composition using diffusion model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21483","last_updated":"2025-05-27T17:53:02Z","snapshot_observed_at":"2026-08-07T13:24:38.461637Z","submitted_at":"2025-05-27T17:53:02Z","title":"MV-CoLight: Efficient Object Compositing with Consistent Lighting and Shadow Generation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T13:35:51.303747Z"},"links":{"cited_paper":"/paper/2308.10040","citing_paper":"/paper/2505.21483"},"observation_digest":"sha256:dc48e635f768360615b25ccbb16c222daa0413809079e545c814d6933f9fb94d","observation_id":"73bba545-791d-41e2-a69e-c2769b847a4f","resolution":{"observed_at":"2026-08-07T13:35:51.303747Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.10040","last_updated":"2023-08-19T14:56:44Z","snapshot_observed_at":"2026-07-06T16:08:00.845026Z","submitted_at":"2023-08-19T14:56:44Z","title":"ControlCom: Controllable Image Composition using Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.10040","snapshot_observed_at":"2026-08-07T05:01:56.998812Z","title":"Controlcom: Controllable image composition using diffusion model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08964","last_updated":"2025-06-10T16:36:54Z","snapshot_observed_at":"2026-08-07T16:45:10.670573Z","submitted_at":"2025-06-10T16:36:54Z","title":"ORIDa: Object-centric Real-world Image Composition Dataset","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:56.998812Z"},"links":{"cited_paper":"/paper/2308.10040","citing_paper":"/paper/2506.08964"},"observation_digest":"sha256:7e4567dcadc8e5747351e36feea96988555df020c5ef4e71c6c7d3408c25c312","observation_id":"dd6a038f-b888-4d4d-93d6-7dcb00ff4ce3","resolution":{"observed_at":"2026-08-07T05:01:56.998812Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.10040","last_updated":"2023-08-19T14:56:44Z","snapshot_observed_at":"2026-07-06T16:08:00.845026Z","submitted_at":"2023-08-19T14:56:44Z","title":"ControlCom: Controllable Image Composition using Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.10040","snapshot_observed_at":"2026-08-06T23:35:15.454745Z","title":"Zhang, Y","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.17450","last_updated":"2025-06-26T02:46:40Z","snapshot_observed_at":"2026-08-08T05:18:07.096875Z","submitted_at":"2025-06-20T19:38:34Z","title":"BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:15.454745Z"},"links":{"cited_paper":"/paper/2308.10040","citing_paper":"/paper/2506.17450"},"observation_digest":"sha256:7e436c1f1d5f0bb5e27bb7310e14113267a4779a325e1a43ff506b28b9ba5794","observation_id":"5729b725-ef16-4ac8-b1e9-350fc924bb4f","resolution":{"observed_at":"2026-08-06T23:35:15.454745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.10040","last_updated":"2023-08-19T14:56:44Z","snapshot_observed_at":"2026-07-06T16:08:00.845026Z","submitted_at":"2023-08-19T14:56:44Z","title":"ControlCom: Controllable Image Composition using Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.10040","snapshot_observed_at":"2026-08-06T15:09:52.134602Z","title":"Controlcom: Controllable image composition using diffusion model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.16813","last_updated":"2025-07-22T17:59:21Z","snapshot_observed_at":"2026-08-07T20:18:21.057983Z","submitted_at":"2025-07-22T17:59:21Z","title":"HOComp: Interaction-Aware Human-Object Composition","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-06T15:09:52.134602Z"},"links":{"cited_paper":"/paper/2308.10040","citing_paper":"/paper/2507.16813"},"observation_digest":"sha256:c31f157bcf440bbebd2f6d2edb8e4da366661e84b74de865c7fc5699cc41955b","observation_id":"323b2a96-368a-458a-a254-e9d5062a32f7","resolution":{"observed_at":"2026-08-06T15:09:52.134602Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.10040","last_updated":"2023-08-19T14:56:44Z","snapshot_observed_at":"2026-07-06T16:08:00.845026Z","submitted_at":"2023-08-19T14:56:44Z","title":"ControlCom: Controllable Image Composition using Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.10040","snapshot_observed_at":"2026-08-05T15:44:48.057451Z","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":40,"source":"pdf_text","source_observed_at":"2026-08-05T15:44:48.057451Z"},"links":{"cited_paper":"/paper/2308.10040","citing_paper":"/paper/2508.19575"},"observation_digest":"sha256:5a593136f1cbf9bc1626d93e5a97d62fdab087edc82808cb1c3e166cffe65768","observation_id":"07b0aa21-6f3c-4380-a084-877f336b1497","resolution":{"observed_at":"2026-08-05T15:44:48.057451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.10040","last_updated":"2023-08-19T14:56:44Z","snapshot_observed_at":"2026-07-06T16:08:00.845026Z","submitted_at":"2023-08-19T14:56:44Z","title":"ControlCom: Controllable Image Composition using Diffusion Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.10040","snapshot_observed_at":"2026-08-05T14:06:18.317712Z","title":"Controlcom: Controllable image composition using diffusion model","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.21732","last_updated":"2025-08-29T15:57:43Z","snapshot_observed_at":"2026-08-08T06:18:53.863884Z","submitted_at":"2025-08-29T15:57:43Z","title":"CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T14:06:18.317712Z"},"links":{"cited_paper":"/paper/2308.10040","citing_paper":"/paper/2508.21732"},"observation_digest":"sha256:a44960acb578eae5174f61675bb08768bb146491634b91af282b100127f49a66","observation_id":"bd8f1e09-3609-438a-836d-c0d685bff88a","resolution":{"observed_at":"2026-08-05T14:06:18.317712Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.10040","last_updated":"2023-08-19T14:56:44Z","snapshot_observed_at":"2026-07-06T16:08:00.845026Z","submitted_at":"2023-08-19T14:56:44Z","title":"ControlCom: Controllable Image Composition using Diffusion Model","version":1},"cited_work":{"arxiv_id":"2308.10040","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.10040","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Controlcom: Control- lable image composition using diffusion model.CoRR, abs/2308.10040","venue":null,"work_id":"96ea362c-069b-4262-b75a-8e81f58e8d3c","year":2023},"citing_paper":{"arxiv_id":"2511.15197","last_updated":"2026-04-25T14:48:03Z","snapshot_observed_at":"2026-07-06T22:36:13.287872Z","submitted_at":"2025-11-19T07:33:00Z","title":"Insert In Style: A Zero-Shot Generative Framework for Harmonious Cross-Domain Object Composition","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-17T21:17:48.874546Z"},"links":{"cited_paper":"/paper/2308.10040","citing_paper":"/paper/2511.15197"},"observation_digest":"sha256:417ba2c7884635404011ede4dfad1d9427a98d86e1c4dfe86a3601d8320cc83e","observation_id":"03322d70-940a-4d64-bff5-d937b9f5eccf","resolution":{"observed_at":"2026-05-17T21:20:17.119664Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.10040","last_updated":"2023-08-19T14:56:44Z","snapshot_observed_at":"2026-07-06T16:08:00.845026Z","submitted_at":"2023-08-19T14:56:44Z","title":"ControlCom: Controllable Image Composition using Diffusion Model","version":1},"cited_work":{"arxiv_id":"2308.10040","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.10040","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Controlcom: Control- lable image composition using diffusion model.CoRR, abs/2308.10040","venue":null,"work_id":"96ea362c-069b-4262-b75a-8e81f58e8d3c","year":2023},"citing_paper":{"arxiv_id":"2604.08836","last_updated":"2026-04-10T00:25:41Z","snapshot_observed_at":"2026-07-06T22:57:50.266735Z","submitted_at":"2026-04-10T00:25:41Z","title":"CatalogStitch: Dimension-Aware and Occlusion-Preserving Object Compositing for Catalog Image Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T16:45:41.162472Z"},"links":{"cited_paper":"/paper/2308.10040","citing_paper":"/paper/2604.08836"},"observation_digest":"sha256:63f5f64265fcece67af86c72942d0111cf7342e671ccfc354de0faad9b083a17","observation_id":"385bff56-fea7-454a-bd19-f0110c24afa0","resolution":{"observed_at":"2026-05-11T08:15:58.650186Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2308.10040/citation-record","integrity":"/paper/2308.10040/integrity","json":"/paper/2308.10040/citation-record.json","paper":"/paper/2308.10040"},"outbound":[],"paper":{"arxiv_id":"2308.10040","last_updated":"2023-08-19T14:56:44Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T16:08:00.845026Z","submitted_at":"2023-08-19T14:56:44Z","title":"ControlCom: Controllable Image Composition using Diffusion Model"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2308.10040."}