{"as_of":"2026-08-11T16:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c72ad9270f8728052ea48dc77eaed295e81685b8941c701ad8ec4f27e3b939b8","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":"2026-08-11T06:34:44.6726+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":"2026-08-10T15:52:56.133671Z","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":"2026-07-01T09:55:41.224478Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.00164","last_updated":"2022-02-01T00:45:57Z","snapshot_observed_at":"2026-08-10T05:46:42.696311Z","submitted_at":"2022-02-01T00:45:57Z","title":"DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video","version":1},"cited_work":{"arxiv_id":"2202.00164","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2202.00164","snapshot_observed_at":"2026-07-01T09:55:41.224478Z","title":"DexVIP: Learning dexterous grasp- ing with human hand pose priors from video,","venue":null,"work_id":"e5daf907-67a7-4c98-aa14-180b381ee050","year":2022},"citing_paper":{"arxiv_id":"2606.31200","last_updated":"2026-06-30T06:30:22Z","snapshot_observed_at":"2026-08-07T12:04:48.584226Z","submitted_at":"2026-06-30T06:30:22Z","title":"Agentic RAG-VLM: Affordance-Aware Retrieval-Augmented Generation with Self-Reflective Planning for Robotic Grasping","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-01T06:01:37.880943Z"},"links":{"cited_paper":"/paper/2202.00164","citing_paper":"/paper/2606.31200"},"observation_digest":"sha256:b5db8192640e206dcaeec94e7d85ba21baa5fa7c7f89e6ddc1c310e5e08f16fc","observation_id":"65fa9843-ccf7-422f-9a00-dc7c6c4d20d7","resolution":{"observed_at":"2026-07-01T09:55:41.226528Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.00164","last_updated":"2022-02-01T00:45:57Z","snapshot_observed_at":"2026-08-10T05:46:42.696311Z","submitted_at":"2022-02-01T00:45:57Z","title":"DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.00164","snapshot_observed_at":"2026-08-10T15:52:56.133671Z","title":"Dexvip: Learning dexterous grasping with human hand pose priors from video,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.07045","last_updated":"2026-08-07T09:54:00Z","snapshot_observed_at":"2026-08-11T15:12:16.844632Z","submitted_at":"2026-08-07T09:54:00Z","title":"C2Dex: Contact-Consistent Reconstruction and Retargeting for Dexterous Manipulation from Monocular Video","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T15:52:56.133671Z"},"links":{"cited_paper":"/paper/2202.00164","citing_paper":"/paper/2608.07045"},"observation_digest":"sha256:b2721d384fc0ee514562e1cd5b3e9704082b485ad8e11f7e4d147d4414ce89dc","observation_id":"e040b7d2-6671-43d3-ad48-73940a32180a","resolution":{"observed_at":"2026-08-10T15:52:56.133671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2202.00164/citation-record","integrity":"/paper/2202.00164/integrity","json":"/paper/2202.00164/citation-record.json","paper":"/paper/2202.00164"},"outbound":[],"paper":{"arxiv_id":"2202.00164","last_updated":"2022-02-01T00:45:57Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-10T05:46:42.696311Z","submitted_at":"2022-02-01T00:45:57Z","title":"DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.00164."}