{"as_of":"2026-08-20T09:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c38188e152b4974e247094b2afc2b711ebf8b3154d5d3660ea84c0c33b405845","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:30:26.681573Z","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":"2026-08-07T05:30:27.163120Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2003.02637","last_updated":"2020-02-25T21:21:57Z","snapshot_observed_at":"2026-08-19T19:03:01.289121Z","submitted_at":"2020-02-25T21:21:57Z","title":"Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2003.02637","doi":null,"metadata_source":"pith","pith_arxiv_id":"2003.02637","snapshot_observed_at":"2026-08-07T05:30:27.163120Z","title":"Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning","venue":"cs.RO","work_id":"f43d9ca7-703c-4504-a9a0-31ca0830b502","year":2020},"citing_paper":{"arxiv_id":"2506.07876","last_updated":"2025-06-11T01:27:55Z","snapshot_observed_at":"2026-08-18T01:14:49.498000Z","submitted_at":"2025-06-09T15:49:29Z","title":"Versatile Loco-Manipulation through Flexible Interlimb Coordination","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:30:26.681573Z"},"links":{"cited_paper":"/paper/2003.02637","citing_paper":"/paper/2506.07876"},"observation_digest":"sha256:66720ee88fe244c24dba4990da05cc75dd7079c649097e751953aee1422cec8d","observation_id":"08cd5c91-141c-456b-9b79-f22643ed8c83","resolution":{"observed_at":"2026-08-07T05:30:27.170283Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2003.02637/citation-record","integrity":"/paper/2003.02637/integrity","json":"/paper/2003.02637/citation-record.json","paper":"/paper/2003.02637"},"outbound":[],"paper":{"arxiv_id":"2003.02637","last_updated":"2020-02-25T21:21:57Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-19T19:03:01.289121Z","submitted_at":"2020-02-25T21:21:57Z","title":"Whole-Body Control of a Mobile Manipulator using End-to-End Reinforcement Learning"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2003.02637."}