{"as_of":"2026-08-10T05:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e1e7f2ef5783cdc6137dd017304fa0b3d6d84bdf2666f7b4da835dbaf47a641c","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:49:43.132312Z","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":"2026-07-02T11:36:55.562989Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.15393","last_updated":"2023-10-28T06:56:32Z","snapshot_observed_at":"2026-08-05T22:24:58.767708Z","submitted_at":"2023-05-24T17:56:16Z","title":"LayoutGPT: Compositional Visual Planning and Generation with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15393","snapshot_observed_at":"2026-08-06T21:49:43.132312Z","title":"Layoutgpt: Compositional visual plan- ning and generation with large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.23352","last_updated":"2025-06-29T18:03:03Z","snapshot_observed_at":"2026-08-09T05:37:38.871712Z","submitted_at":"2025-06-29T18:03:03Z","title":"GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:49:43.132312Z"},"links":{"cited_paper":"/paper/2305.15393","citing_paper":"/paper/2506.23352"},"observation_digest":"sha256:a278abc46cd96fe2b31a5d08f5a53a8b20426e3b7ee1259c4eef473f3d0fee73","observation_id":"da1aa099-20a3-46e0-a396-41eb294e5e9e","resolution":{"observed_at":"2026-08-06T21:49:43.132312Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15393","last_updated":"2023-10-28T06:56:32Z","snapshot_observed_at":"2026-08-05T22:24:58.767708Z","submitted_at":"2023-05-24T17:56:16Z","title":"LayoutGPT: Compositional Visual Planning and Generation with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15393","snapshot_observed_at":"2026-08-05T13:38:20.875111Z","title":"LayoutGPT: Compositional visual planning and generation with large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.00465","last_updated":"2025-08-30T11:42:26Z","snapshot_observed_at":"2026-08-06T18:22:49.738663Z","submitted_at":"2025-08-30T11:42:26Z","title":"Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning","version":1},"reference_index":266,"source":"pdf_text","source_observed_at":"2026-08-05T13:38:20.875111Z"},"links":{"cited_paper":"/paper/2305.15393","citing_paper":"/paper/2509.00465"},"observation_digest":"sha256:2ef7a8cba86e54dfdba32d495870bc2e4198a6be34b0faaa8fc64f73da710d60","observation_id":"1dd7edcc-20d2-41b8-ab01-99bbde2eca25","resolution":{"observed_at":"2026-08-05T13:38:20.875111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15393","last_updated":"2023-10-28T06:56:32Z","snapshot_observed_at":"2026-08-05T22:24:58.767708Z","submitted_at":"2023-05-24T17:56:16Z","title":"LayoutGPT: Compositional Visual Planning and Generation with Large Language Models","version":2},"cited_work":{"arxiv_id":"2305.15393","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.15393","snapshot_observed_at":"2026-07-02T11:36:55.562989Z","title":"arXiv preprint arXiv:2305.15393 , year=","venue":null,"work_id":"ddff7afc-f65d-4554-9bc6-92035de53327","year":null},"citing_paper":{"arxiv_id":"2606.05268","last_updated":"2026-06-03T16:50:49Z","snapshot_observed_at":"2026-08-06T15:59:52.458614Z","submitted_at":"2026-06-03T16:50:49Z","title":"Aggregating LLM-Based Weak Verifiers for Spatial Layout Generation","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-06-28T03:11:18.416545Z"},"links":{"cited_paper":"/paper/2305.15393","citing_paper":"/paper/2606.05268"},"observation_digest":"sha256:6584f99bd85788682d53f6e41fcb461d2630d485fab5fb3cb2553994ce4fbadd","observation_id":"dda0a291-74e0-4055-87af-39cdf28ea324","resolution":{"observed_at":"2026-07-02T11:36:55.564288Z","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":"2305.15393","last_updated":"2023-10-28T06:56:32Z","snapshot_observed_at":"2026-08-05T22:24:58.767708Z","submitted_at":"2023-05-24T17:56:16Z","title":"LayoutGPT: Compositional Visual Planning and Generation with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15393","snapshot_observed_at":"2026-08-01T21:07:57.741701Z","title":"Layoutgpt: Compositional visual planning and generation with large language models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.16409","last_updated":"2026-07-17T18:02:44Z","snapshot_observed_at":"2026-08-08T00:27:24.450465Z","submitted_at":"2026-07-17T18:02:44Z","title":"Think, Plan, Paint: Layout-Aware Reasoning for Controllable Image Generation in Unified Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T21:07:57.741701Z"},"links":{"cited_paper":"/paper/2305.15393","citing_paper":"/paper/2607.16409"},"observation_digest":"sha256:a79fd31863b7c45a668f4791eb7e9719e78ed024b048f5098a0db7a563c67fc3","observation_id":"08b4b17e-d836-40a1-b6ff-038dadcdbdd3","resolution":{"observed_at":"2026-08-01T21:07:57.741701Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.15393/citation-record","integrity":"/paper/2305.15393/integrity","json":"/paper/2305.15393/citation-record.json","paper":"/paper/2305.15393"},"outbound":[],"paper":{"arxiv_id":"2305.15393","last_updated":"2023-10-28T06:56:32Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T22:24:58.767708Z","submitted_at":"2023-05-24T17:56:16Z","title":"LayoutGPT: Compositional Visual Planning and Generation with Large Language Models"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.15393."}