{"as_of":"2026-08-05T00:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e86fce2561e4920e66673f27875897f28179a0b0ae4215da7004227942450ed2","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":"2026-08-04T06:34:03.388597+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":"2026-06-30T18:53:51.366047Z","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":"2026-07-10T06:15:00.866473Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1811.11187","last_updated":"2018-11-27T19:00:06Z","snapshot_observed_at":"2026-08-01T06:51:22.800994Z","submitted_at":"2018-11-27T19:00:06Z","title":"Scan2CAD: Learning CAD Model Alignment in RGB-D Scans","version":1},"cited_work":{"arxiv_id":"1811.11187","doi":"10.48550/arxiv.1811.11187","metadata_source":"pith","pith_arxiv_id":"1811.11187","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Scan2CAD: Learning CAD Model Alignment in RGB-D Scans","venue":"cs.CV","work_id":"067acd51-1337-415b-bc71-ef51c32ee38f","year":2018},"citing_paper":{"arxiv_id":"2605.17131","last_updated":"2026-06-16T20:51:38Z","snapshot_observed_at":"2026-07-06T23:28:12.114488Z","submitted_at":"2026-05-16T19:37:41Z","title":"A Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-20T15:14:18.105719Z"},"links":{"cited_paper":"/paper/1811.11187","citing_paper":"/paper/2605.17131"},"observation_digest":"sha256:cb01d0472b3ed3ecd4b473ec52856ff1780a1c90672ff486424e59911d3ad813","observation_id":"52ec5429-126e-4e8d-9f19-4a4f5ba17e6f","resolution":{"observed_at":"2026-05-20T15:18:25.098715Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-05-23T17:23:33.607808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T17:23:33.607808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.11187","last_updated":"2018-11-27T19:00:06Z","snapshot_observed_at":"2026-08-01T06:51:22.800994Z","submitted_at":"2018-11-27T19:00:06Z","title":"Scan2CAD: Learning CAD Model Alignment in RGB-D Scans","version":1},"cited_work":{"arxiv_id":"1811.11187","doi":"10.48550/arxiv.1811.11187","metadata_source":"pith","pith_arxiv_id":"1811.11187","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"Scan2CAD: Learning CAD Model Alignment in RGB-D Scans","venue":"cs.CV","work_id":"067acd51-1337-415b-bc71-ef51c32ee38f","year":2018},"citing_paper":{"arxiv_id":"2605.17131","last_updated":"2026-06-16T20:51:38Z","snapshot_observed_at":"2026-07-06T23:28:12.114488Z","submitted_at":"2026-05-16T19:37:41Z","title":"A Survey on Deep Learning Architectures for Point Cloud Classification and Segmentation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T18:53:51.366047Z"},"links":{"cited_paper":"/paper/1811.11187","citing_paper":"/paper/2605.17131"},"observation_digest":"sha256:0bda67c6b46aaee1965e744822391f64f8497b1e0909843162c0ba4917f67ecf","observation_id":"ff3c5cb7-9924-428c-825b-eee2c9f6b601","resolution":{"observed_at":"2026-06-30T18:54:59.745483Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-05-23T17:23:33.607808+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T17:23:33.607808+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1811.11187/citation-record","integrity":"/paper/1811.11187/integrity","json":"/paper/1811.11187/citation-record.json","paper":"/paper/1811.11187"},"outbound":[],"paper":{"arxiv_id":"1811.11187","last_updated":"2018-11-27T19:00:06Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-01T06:51:22.800994Z","submitted_at":"2018-11-27T19:00:06Z","title":"Scan2CAD: Learning CAD Model Alignment in RGB-D Scans"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.11187."}