{"as_of":"2026-08-22T07:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:94e4c82a4e8504570364d9c0c625982a11b9f060ebcbd5a0ab5290a8a5ed4e37","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":"2026-08-22T06:32:14.747728+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":"2026-08-15T19:49:14.725464Z","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":"2026-05-11T03:55:56.306792Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2301.06869","last_updated":"2023-01-17T13:25:11Z","snapshot_observed_at":"2026-08-18T01:22:45.501848Z","submitted_at":"2023-01-17T13:25:11Z","title":"SAT: Size-Aware Transformer for 3D Point Cloud Semantic Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.06869","snapshot_observed_at":"2026-08-15T19:49:14.725464Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.15160","last_updated":"2025-06-18T06:08:17Z","snapshot_observed_at":"2026-08-17T01:40:21.859071Z","submitted_at":"2025-06-18T06:08:17Z","title":"Enhancing point cloud analysis via neighbor aggregation correction based on cross-stage structure correlation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-15T19:49:14.725464Z"},"links":{"cited_paper":"/paper/2301.06869","citing_paper":"/paper/2506.15160"},"observation_digest":"sha256:8f1ce45d89f350f6f947dba8037dd67a798dea0f8ed2b65831ffee6d6e672103","observation_id":"a9e159c4-1481-4945-9272-eecf0c086880","resolution":{"observed_at":"2026-08-15T19:49:14.725464Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.06869","last_updated":"2023-01-17T13:25:11Z","snapshot_observed_at":"2026-08-18T01:22:45.501848Z","submitted_at":"2023-01-17T13:25:11Z","title":"SAT: Size-Aware Transformer for 3D Point Cloud Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"2301.06869","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2301.06869","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sat: size-aware transformer for 3d point cloud semantic segmentation","venue":null,"work_id":"bf431053-36fe-4f5c-a320-34639487c8b4","year":2023},"citing_paper":{"arxiv_id":"2605.02357","last_updated":"2026-05-08T11:29:26Z","snapshot_observed_at":"2026-08-10T21:48:11.510493Z","submitted_at":"2026-05-04T08:59:36Z","title":"Channel-Level Relation to Attentive Aggregation with Neighborhood-Homogeneity Constraint for Point Cloud Analysis","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-08T19:30:07.964226Z"},"links":{"cited_paper":"/paper/2301.06869","citing_paper":"/paper/2605.02357"},"observation_digest":"sha256:05867e90122b7ac165b3ee9fe1edcf499aa6f68e7fe76aa0f33587fb422021a3","observation_id":"09cb7529-af8d-40ad-a161-8e93570abf3b","resolution":{"observed_at":"2026-05-09T05:50:26.451925Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.06869","last_updated":"2023-01-17T13:25:11Z","snapshot_observed_at":"2026-08-18T01:22:45.501848Z","submitted_at":"2023-01-17T13:25:11Z","title":"SAT: Size-Aware Transformer for 3D Point Cloud Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"2301.06869","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2301.06869","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sat: size-aware transformer for 3d point cloud semantic segmentation","venue":null,"work_id":"bf431053-36fe-4f5c-a320-34639487c8b4","year":2023},"citing_paper":{"arxiv_id":"2605.02357","last_updated":"2026-05-08T11:29:26Z","snapshot_observed_at":"2026-08-10T21:48:11.510493Z","submitted_at":"2026-05-04T08:59:36Z","title":"Channel-Level Relation to Attentive Aggregation with Neighborhood-Homogeneity Constraint for Point Cloud Analysis","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-11T02:07:43.703104Z"},"links":{"cited_paper":"/paper/2301.06869","citing_paper":"/paper/2605.02357"},"observation_digest":"sha256:29d5c04761fdfcae37c1fed3d05e11427af21fa3d2219e17f674468510953608","observation_id":"38111d54-4abe-4ef2-8441-c4d9d321e5b3","resolution":{"observed_at":"2026-05-11T03:55:56.309384Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2301.06869/citation-record","integrity":"/paper/2301.06869/integrity","json":"/paper/2301.06869/citation-record.json","paper":"/paper/2301.06869"},"outbound":[],"paper":{"arxiv_id":"2301.06869","last_updated":"2023-01-17T13:25:11Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T01:22:45.501848Z","submitted_at":"2023-01-17T13:25:11Z","title":"SAT: Size-Aware Transformer for 3D Point Cloud Semantic Segmentation"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2301.06869."}