{"as_of":"2026-08-09T20:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5947782ef5d3d66b300d876a2586c41ed6bc19a481d640a0266a24a874edd677","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T00:03:16.625626Z","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":12,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.09423","last_updated":"2022-11-18T05:28:17Z","snapshot_observed_at":"2026-07-06T14:19:43.043908Z","submitted_at":"2022-11-17T09:17:42Z","title":"DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.09423","snapshot_observed_at":"2026-08-08T00:03:16.625626Z","title":"Dexpoint: Generalizable point cloud reinforcement learning for sim-to- real dexterous manipulation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08643","last_updated":"2025-02-18T16:45:59Z","snapshot_observed_at":"2026-08-09T11:31:44.840528Z","submitted_at":"2025-02-12T18:57:22Z","title":"A Real-to-Sim-to-Real Approach to Robotic Manipulation with VLM-Generated Iterative Keypoint Rewards","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-08T00:03:16.625626Z"},"links":{"cited_paper":"/paper/2211.09423","citing_paper":"/paper/2502.08643"},"observation_digest":"sha256:4574f3ef3f913f5cb3988a272747b0e3cb67ac31dddf508c23398c0512244b98","observation_id":"470fc6e2-cae2-4a70-9afc-2fbe1116d420","resolution":{"observed_at":"2026-08-08T00:03:16.625626Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09423","last_updated":"2022-11-18T05:28:17Z","snapshot_observed_at":"2026-07-06T14:19:43.043908Z","submitted_at":"2022-11-17T09:17:42Z","title":"DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation","version":2},"cited_work":{"arxiv_id":"2211.09423","doi":"10.48550/arxiv.2211.09423","metadata_source":"arxiv_reference","pith_arxiv_id":"2211.09423","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"b2ea395f-e82b-4424-b74a-e89f514270e5","year":2022},"citing_paper":{"arxiv_id":"2605.09989","last_updated":"2026-06-03T20:48:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-11T05:06:12Z","title":"StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-12T03:59:25.546955Z"},"links":{"cited_paper":"/paper/2211.09423","citing_paper":"/paper/2605.09989"},"observation_digest":"sha256:1598b29d2e98dc3be2b4b5903fd3c7bc30b5d3ad9027276a8795583fa4ab8a81","observation_id":"2bbe090e-a737-4d7e-a4be-8dfafac9185b","resolution":{"observed_at":"2026-05-12T04:01:20.251741Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09423","last_updated":"2022-11-18T05:28:17Z","snapshot_observed_at":"2026-07-06T14:19:43.043908Z","submitted_at":"2022-11-17T09:17:42Z","title":"DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation","version":2},"cited_work":{"arxiv_id":"2211.09423","doi":"10.48550/arxiv.2211.09423","metadata_source":"arxiv_reference","pith_arxiv_id":"2211.09423","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"b2ea395f-e82b-4424-b74a-e89f514270e5","year":2022},"citing_paper":{"arxiv_id":"2605.09989","last_updated":"2026-06-03T20:48:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-11T05:06:12Z","title":"StereoPolicy: Improving Robotic Manipulation Policies via Stereo Perception","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-30T22:53:19.163233Z"},"links":{"cited_paper":"/paper/2211.09423","citing_paper":"/paper/2605.09989"},"observation_digest":"sha256:de54ab9b01c41e8ec625f1e38f288b98188b1c8f54ee18b78840a0f22f88458a","observation_id":"a00bb43f-a510-4d66-bc7c-ed94d0cf758c","resolution":{"observed_at":"2026-06-30T22:55:06.356552Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09423","last_updated":"2022-11-18T05:28:17Z","snapshot_observed_at":"2026-07-06T14:19:43.043908Z","submitted_at":"2022-11-17T09:17:42Z","title":"DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation","version":2},"cited_work":{"arxiv_id":"2211.09423","doi":"10.48550/arxiv.2211.09423","metadata_source":"arxiv_reference","pith_arxiv_id":"2211.09423","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"arXiv (Cornell University)","work_id":"b2ea395f-e82b-4424-b74a-e89f514270e5","year":2022},"citing_paper":{"arxiv_id":"2606.27475","last_updated":"2026-06-25T18:52:27Z","snapshot_observed_at":"2026-08-02T12:36:42.748876Z","submitted_at":"2026-06-25T18:52:27Z","title":"Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-29T01:57:04.293058Z"},"links":{"cited_paper":"/paper/2211.09423","citing_paper":"/paper/2606.27475"},"observation_digest":"sha256:b0f8432e0c49c21357fe2e0e0c0dcc33cb9d1da65631683ece5bc5b7ba0bb194","observation_id":"6cf09918-71b0-482b-a58c-e46c107d139c","resolution":{"observed_at":"2026-07-01T18:25:58.766966Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2211.09423/citation-record","integrity":"/paper/2211.09423/integrity","json":"/paper/2211.09423/citation-record.json","paper":"/paper/2211.09423"},"outbound":[],"paper":{"arxiv_id":"2211.09423","last_updated":"2022-11-18T05:28:17Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-06T14:19:43.043908Z","submitted_at":"2022-11-17T09:17:42Z","title":"DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2211.09423."}