{"as_of":"2026-08-14T14:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e07c2e44130c47a48e32425f7c4fff2c0f8d3c3875ccd33c294e4ed39b339a8c","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":"2026-08-14T06:32:32.682623+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":"2026-08-11T10:35:59.575347Z","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":"2026-08-11T10:35:59.666998Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2207.00195","last_updated":"2022-12-24T10:20:59Z","snapshot_observed_at":"2026-08-14T07:42:38.485180Z","submitted_at":"2022-07-01T04:08:48Z","title":"Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization","version":2},"cited_work":{"arxiv_id":"2207.00195","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.00195","snapshot_observed_at":"2026-08-11T10:35:59.666998Z","title":"Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization","venue":"cs.RO","work_id":"4a9308a8-58e7-410c-8321-f9243be2d76b","year":2022},"citing_paper":{"arxiv_id":"2412.16490","last_updated":"2025-09-03T03:39:08Z","snapshot_observed_at":"2026-08-13T22:48:43.775012Z","submitted_at":"2024-12-21T05:22:53Z","title":"BODex: Scalable and Efficient Robotic Dexterous Grasp Synthesis Using Bilevel Optimization","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T10:35:59.575347Z"},"links":{"cited_paper":"/paper/2207.00195","citing_paper":"/paper/2412.16490"},"observation_digest":"sha256:0bb1b57fae442de4b77a7a0c8b2f2025d916c0ce1baff1a4fad8a17a9e4a8b99","observation_id":"bf8682de-9904-44f7-96bb-90d7a39e2138","resolution":{"observed_at":"2026-08-11T10:35:59.671579Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.00195","last_updated":"2022-12-24T10:20:59Z","snapshot_observed_at":"2026-08-14T07:42:38.485180Z","submitted_at":"2022-07-01T04:08:48Z","title":"Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.00195","snapshot_observed_at":"2026-08-02T21:23:42.509920Z","title":"Learning diverse and physically feasi- ble dexterous grasps with generative model and bilevel optimization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.20466","last_updated":"2026-02-24T01:53:39Z","snapshot_observed_at":"2026-08-06T15:27:16.328571Z","submitted_at":"2026-02-24T01:53:39Z","title":"Grasp to Act: Dexterous Grasping for Tool Use in Dynamic Settings","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T21:23:42.509920Z"},"links":{"cited_paper":"/paper/2207.00195","citing_paper":"/paper/2602.20466"},"observation_digest":"sha256:c15a72067bde9c2057f03c4b2e3dd35b4cea70e29bc9831b72fb915c6b8e91fa","observation_id":"28889c5f-a447-4ce3-b094-ec3bd5c3fa1e","resolution":{"observed_at":"2026-08-02T21:23:42.509920Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.00195","last_updated":"2022-12-24T10:20:59Z","snapshot_observed_at":"2026-08-14T07:42:38.485180Z","submitted_at":"2022-07-01T04:08:48Z","title":"Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.00195","snapshot_observed_at":"2026-08-02T18:16:00.969356Z","title":"Learning diverse and physically feasi- ble dexterous grasps with generative model and bilevel optimization,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.13832","last_updated":"2026-07-19T02:25:30Z","snapshot_observed_at":"2026-08-05T00:49:53.562445Z","submitted_at":"2026-03-14T08:32:13Z","title":"GraspADMM: Improving Dexterous Grasp Synthesis via ADMM Optimization","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-02T18:16:00.969356Z"},"links":{"cited_paper":"/paper/2207.00195","citing_paper":"/paper/2603.13832"},"observation_digest":"sha256:e95bcb8e1d8659e8f351d85a17e09930658466258d7d52d84b5a5bb139e4edab","observation_id":"130b655d-c240-44bc-9bf7-bf464f769f5d","resolution":{"observed_at":"2026-08-02T18:16:00.969356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2207.00195/citation-record","integrity":"/paper/2207.00195/integrity","json":"/paper/2207.00195/citation-record.json","paper":"/paper/2207.00195"},"outbound":[],"paper":{"arxiv_id":"2207.00195","last_updated":"2022-12-24T10:20:59Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-14T07:42:38.485180Z","submitted_at":"2022-07-01T04:08:48Z","title":"Learning Diverse and Physically Feasible Dexterous Grasps with Generative Model and Bilevel Optimization"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2207.00195."}