{"as_of":"2026-08-06T13:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a484f96313e104dfcf59a2f77a4d9b6e02e79ef051b7648715745e35a455c515","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-24T16:05:44.121550Z","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":"2026-05-24T16:06:15.435055Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1811.12463","last_updated":"2018-11-29T20:03:28Z","snapshot_observed_at":"2026-07-31T21:30:25.739143Z","submitted_at":"2018-11-29T20:03:28Z","title":"Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models","version":1},"cited_work":{"arxiv_id":"1811.12463","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.12463","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models","venue":"cs.CV","work_id":"3eab06e0-3b45-409a-8942-e321f249e4ce","year":2018},"citing_paper":{"arxiv_id":"1907.11308","last_updated":"2019-07-25T21:03:15Z","snapshot_observed_at":"2026-07-06T08:10:19.491584Z","submitted_at":"2019-07-25T21:03:15Z","title":"SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-24T16:05:44.121550Z"},"links":{"cited_paper":"/paper/1811.12463","citing_paper":"/paper/1907.11308"},"observation_digest":"sha256:567794283159519c1da295853c9a1d58e7eb599577c4125dcb6df1a6aff7e37d","observation_id":"92489a43-2af3-44fa-a793-16d6a8f108ae","resolution":{"observed_at":"2026-05-24T16:06:15.437678Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.12463","last_updated":"2018-11-29T20:03:28Z","snapshot_observed_at":"2026-07-31T21:30:25.739143Z","submitted_at":"2018-11-29T20:03:28Z","title":"Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models","version":1},"cited_work":{"arxiv_id":"1811.12463","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.12463","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models","venue":"cs.CV","work_id":"3eab06e0-3b45-409a-8942-e321f249e4ce","year":2018},"citing_paper":{"arxiv_id":"2503.04496","last_updated":"2026-05-04T05:00:32Z","snapshot_observed_at":"2026-08-05T16:55:52.983288Z","submitted_at":"2025-03-06T14:44:25Z","title":"Learning to Place Objects with Programs and Iterative Self Training","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-23T01:17:51.623280Z"},"links":{"cited_paper":"/paper/1811.12463","citing_paper":"/paper/2503.04496"},"observation_digest":"sha256:35a602d5fb9e136f02c68f477bfdde933f2c8a8c4f6b3e68745f59004fd6a639","observation_id":"e6ee81f7-8283-472e-bd82-a4d48d5b0ddf","resolution":{"observed_at":"2026-05-23T01:22:21.530367Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1811.12463/citation-record","integrity":"/paper/1811.12463/integrity","json":"/paper/1811.12463/citation-record.json","paper":"/paper/1811.12463"},"outbound":[],"paper":{"arxiv_id":"1811.12463","last_updated":"2018-11-29T20:03:28Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-31T21:30:25.739143Z","submitted_at":"2018-11-29T20:03:28Z","title":"Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative 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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.12463."}