{"as_of":"2026-08-18T11:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:526e8d8810bf085e398bf0a6f7e86b561161d6845bd70fd32e472fe1b90f8677","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:36:01.241101Z","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":"2026-08-06T16:42:13.472776Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.06926","last_updated":"2024-08-13T14:26:30Z","snapshot_observed_at":"2026-08-16T13:26:42.795110Z","submitted_at":"2024-08-13T14:26:30Z","title":"SceneGPT: A Language Model for 3D Scene Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.06926","snapshot_observed_at":"2026-08-06T18:36:01.241101Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.10442","last_updated":"2025-07-10T15:26:41Z","snapshot_observed_at":"2026-08-14T17:00:14.442606Z","submitted_at":"2025-07-10T15:26:41Z","title":"Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T18:36:01.241101Z"},"links":{"cited_paper":"/paper/2408.06926","citing_paper":"/paper/2507.10442"},"observation_digest":"sha256:5a6aae5232c57aa6bbd75f2b56d5c45188ec789673a40c7aad9d7f3d0cf3ce4d","observation_id":"0e1d43db-b3a0-4254-91e7-d49cd08b5135","resolution":{"observed_at":"2026-08-06T18:36:01.241101Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.06926","last_updated":"2024-08-13T14:26:30Z","snapshot_observed_at":"2026-08-16T13:26:42.795110Z","submitted_at":"2024-08-13T14:26:30Z","title":"SceneGPT: A Language Model for 3D Scene Understanding","version":1},"cited_work":{"arxiv_id":"2408.06926","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.06926","snapshot_observed_at":"2026-08-06T16:42:13.472776Z","title":"SceneGPT: A Language Model for 3D Scene Understanding","venue":"cs.CV","work_id":"75ae95a4-0231-4ec3-bf02-e8d1425dea51","year":2024},"citing_paper":{"arxiv_id":"2507.12916","last_updated":"2025-07-17T09:02:04Z","snapshot_observed_at":"2026-08-17T09:54:48.802796Z","submitted_at":"2025-07-17T09:02:04Z","title":"Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T16:42:13.272864Z"},"links":{"cited_paper":"/paper/2408.06926","citing_paper":"/paper/2507.12916"},"observation_digest":"sha256:4c58951a6ca26a623795e900f3009cfc1bb6ed40ba918f9a7681b820cc7fdacd","observation_id":"4fb99e5c-41ed-4ca3-95cf-1ec1eca11687","resolution":{"observed_at":"2026-08-06T16:42:13.478064Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.06926","last_updated":"2024-08-13T14:26:30Z","snapshot_observed_at":"2026-08-16T13:26:42.795110Z","submitted_at":"2024-08-13T14:26:30Z","title":"SceneGPT: A Language Model for 3D Scene Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.06926","snapshot_observed_at":"2026-08-01T20:31:57.366001Z","title":"Chandhok","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18325","last_updated":"2026-07-18T02:24:06Z","snapshot_observed_at":"2026-08-15T21:41:09.845196Z","submitted_at":"2026-07-18T02:24:06Z","title":"Hazard or Anomaly? Evaluating VLMs for Understanding Dangers and Discrepancies","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T20:31:57.366001Z"},"links":{"cited_paper":"/paper/2408.06926","citing_paper":"/paper/2607.18325"},"observation_digest":"sha256:e18f603d1bf5a1148c452459d47780605d06168d2fbe9a6ff7fa5c685053f386","observation_id":"6d922bbd-8dd1-46e3-96d5-74894107f015","resolution":{"observed_at":"2026-08-01T20:31:57.366001Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2408.06926/citation-record","integrity":"/paper/2408.06926/integrity","json":"/paper/2408.06926/citation-record.json","paper":"/paper/2408.06926"},"outbound":[],"paper":{"arxiv_id":"2408.06926","last_updated":"2024-08-13T14:26:30Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T13:26:42.795110Z","submitted_at":"2024-08-13T14:26:30Z","title":"SceneGPT: A Language Model for 3D Scene Understanding"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.06926."}