{"as_of":"2026-08-23T04:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:78f163253bbfbd1b3bdcd02679f81cc9b8339ac97aafbf2af6160d51f20aa2b8","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:58:18.857456Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":37,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2012.09164","last_updated":"2021-09-26T15:33:47Z","snapshot_observed_at":"2026-08-21T23:33:41.382803Z","submitted_at":"2020-12-16T18:58:56Z","title":"Point Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.09164","snapshot_observed_at":"2026-08-11T13:10:42.232328Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.13461","last_updated":"2025-03-10T15:25:59Z","snapshot_observed_at":"2026-08-14T04:18:13.454745Z","submitted_at":"2024-12-18T03:14:11Z","title":"Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T13:10:42.232328Z"},"links":{"cited_paper":"/paper/2012.09164","citing_paper":"/paper/2412.13461"},"observation_digest":"sha256:aa4395e6a60427fc6627c60d41e86be1ee274f591a0e218abdf9f71cea07ba10","observation_id":"b562399c-171d-4f79-8fd2-cececc1de0ef","resolution":{"observed_at":"2026-08-11T13:10:42.232328Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.09164","last_updated":"2021-09-26T15:33:47Z","snapshot_observed_at":"2026-08-21T23:33:41.382803Z","submitted_at":"2020-12-16T18:58:56Z","title":"Point Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.09164","snapshot_observed_at":"2026-08-08T11:47:54.140836Z","title":"Point transformer, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.07746","last_updated":"2025-05-26T21:37:22Z","snapshot_observed_at":"2026-08-17T04:59:40.279970Z","submitted_at":"2025-02-11T18:13:29Z","title":"HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-08T11:47:54.140836Z"},"links":{"cited_paper":"/paper/2012.09164","citing_paper":"/paper/2502.07746"},"observation_digest":"sha256:718e7825ff145c949e00b1c8cd5487822cfd52a04f2b50534a16a47f17184f2e","observation_id":"bb56fce6-80de-4b92-ba45-828c9e172338","resolution":{"observed_at":"2026-08-08T11:47:54.140836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.09164","last_updated":"2021-09-26T15:33:47Z","snapshot_observed_at":"2026-08-21T23:33:41.382803Z","submitted_at":"2020-12-16T18:58:56Z","title":"Point Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.09164","snapshot_observed_at":"2026-08-15T22:58:18.857456Z","title":"Point transformer,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.05901","last_updated":"2025-05-15T15:46:43Z","snapshot_observed_at":"2026-08-18T07:27:34.280570Z","submitted_at":"2025-05-09T09:09:08Z","title":"Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T22:58:18.857456Z"},"links":{"cited_paper":"/paper/2012.09164","citing_paper":"/paper/2505.05901"},"observation_digest":"sha256:19583b1bce4c976a9942258293e962200092feff320a383ee6d109806d9fe8cf","observation_id":"2b3d8942-f52e-4eb8-ac46-9128c04ab20f","resolution":{"observed_at":"2026-08-15T22:58:18.857456Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.09164","last_updated":"2021-09-26T15:33:47Z","snapshot_observed_at":"2026-08-21T23:33:41.382803Z","submitted_at":"2020-12-16T18:58:56Z","title":"Point Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.09164","snapshot_observed_at":"2026-08-07T05:47:27.522397Z","title":"Available: https://arxiv.org/abs/2012.09164","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.06995","last_updated":"2025-06-08T04:55:44Z","snapshot_observed_at":"2026-08-19T03:55:04.159093Z","submitted_at":"2025-06-08T04:55:44Z","title":"Technical Report for ICRA 2025 GOOSE 3D Semantic Segmentation Challenge: Adaptive Point Cloud Understanding for Heterogeneous Robotic Systems","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T05:47:27.522397Z"},"links":{"cited_paper":"/paper/2012.09164","citing_paper":"/paper/2506.06995"},"observation_digest":"sha256:0a188dd6173f5ef3a6f507a0cbe55106710d2a262ac28a63ee5ef8b43b8ab97e","observation_id":"ea7b7341-c8c6-4641-879b-afa3b8485096","resolution":{"observed_at":"2026-08-07T05:47:27.522397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.09164","last_updated":"2021-09-26T15:33:47Z","snapshot_observed_at":"2026-08-21T23:33:41.382803Z","submitted_at":"2020-12-16T18:58:56Z","title":"Point Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.09164","snapshot_observed_at":"2026-08-05T15:27:12.694691Z","title":"Point Transformer,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.19909","last_updated":"2025-08-27T14:13:01Z","snapshot_observed_at":"2026-08-19T18:44:23.105065Z","submitted_at":"2025-08-27T14:13:01Z","title":"Integrating SAM Supervision for 3D Weakly Supervised Point Cloud Segmentation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T15:27:12.694691Z"},"links":{"cited_paper":"/paper/2012.09164","citing_paper":"/paper/2508.19909"},"observation_digest":"sha256:6f296dd720d284221e4cef99bd74995db5de374b3c86af76963a516473d00ec0","observation_id":"00a2e2b6-5de8-4a65-8b9d-54a2cf42a3cf","resolution":{"observed_at":"2026-08-05T15:27:12.694691Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.09164","last_updated":"2021-09-26T15:33:47Z","snapshot_observed_at":"2026-08-21T23:33:41.382803Z","submitted_at":"2020-12-16T18:58:56Z","title":"Point Transformer","version":2},"cited_work":{"arxiv_id":"2012.09164","doi":"10.48550/arxiv.2012.09164","metadata_source":"arxiv_reference","pith_arxiv_id":"2012.09164","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Available: https://arxiv.org/abs/2012.09164","venue":"arXiv (Cornell University)","work_id":"5ccadf03-9965-44c5-a8d3-715da9dcefa1","year":2012},"citing_paper":{"arxiv_id":"2606.22182","last_updated":"2026-06-20T18:25:16Z","snapshot_observed_at":"2026-08-05T04:09:37.344744Z","submitted_at":"2026-06-20T18:25:16Z","title":"Dual-Stream EEG Decoding for 3D Visual Perception","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-06-26T12:09:03.946197Z"},"links":{"cited_paper":"/paper/2012.09164","citing_paper":"/paper/2606.22182"},"observation_digest":"sha256:99eb490e4bf843fb67ec4dea97b9f5c91997d98734e4f84ea0c49e58a42532d2","observation_id":"53898c9a-e0c0-41d5-9221-9c0ca40e412f","resolution":{"observed_at":"2026-06-26T12:09:27.381545Z","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":"2012.09164","last_updated":"2021-09-26T15:33:47Z","snapshot_observed_at":"2026-08-21T23:33:41.382803Z","submitted_at":"2020-12-16T18:58:56Z","title":"Point Transformer","version":2},"cited_work":{"arxiv_id":"2012.09164","doi":"10.48550/arxiv.2012.09164","metadata_source":"arxiv_reference","pith_arxiv_id":"2012.09164","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Available: https://arxiv.org/abs/2012.09164","venue":"arXiv (Cornell University)","work_id":"5ccadf03-9965-44c5-a8d3-715da9dcefa1","year":2012},"citing_paper":{"arxiv_id":"2606.30318","last_updated":"2026-06-29T14:00:17Z","snapshot_observed_at":"2026-08-12T00:45:02.557173Z","submitted_at":"2026-06-29T14:00:17Z","title":"Chronos: A Physics-Informed Full-History Framework for Non-Markovian Long-Horizon Manipulation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-30T05:12:47.183078Z"},"links":{"cited_paper":"/paper/2012.09164","citing_paper":"/paper/2606.30318"},"observation_digest":"sha256:3f915461137dbe22d06a76fffb5aa1863b12368dd1be752554a5985f62cc8450","observation_id":"8313322a-6904-410c-80ea-e6c4dd80324f","resolution":{"observed_at":"2026-06-30T15:04:46.823484Z","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/2012.09164/citation-record","integrity":"/paper/2012.09164/integrity","json":"/paper/2012.09164/citation-record.json","paper":"/paper/2012.09164"},"outbound":[],"paper":{"arxiv_id":"2012.09164","last_updated":"2021-09-26T15:33:47Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-21T23:33:41.382803Z","submitted_at":"2020-12-16T18:58:56Z","title":"Point Transformer"},"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 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2012.09164."}