{"as_of":"2026-08-07T22:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ae77dcb728f6793f86f5d028da4962f6a89a995ff699eccd60d1abf2b2ece598","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T00:14:09.758244Z","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":"2026-08-07T00:14:19.138512Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.02465","last_updated":"2022-02-05T02:01:19Z","snapshot_observed_at":"2026-08-07T18:31:48.606966Z","submitted_at":"2022-02-05T02:01:19Z","title":"ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2202.02465","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.02465","snapshot_observed_at":"2026-08-07T00:14:19.138512Z","title":"ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning","venue":"cs.RO","work_id":"e89e06a7-ae76-4ba8-b769-ed27875b2116","year":2022},"citing_paper":{"arxiv_id":"2506.14727","last_updated":"2025-07-04T20:27:52Z","snapshot_observed_at":"2026-08-07T00:07:50.493263Z","submitted_at":"2025-06-17T17:06:43Z","title":"Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T00:14:09.758244Z"},"links":{"cited_paper":"/paper/2202.02465","citing_paper":"/paper/2506.14727"},"observation_digest":"sha256:258a6b335ac8d6abc6e62c014a6f48613d96391f6406a7e6c7e93b599b342755","observation_id":"db9678f8-6e80-4fbb-b4cf-6c7d111327b7","resolution":{"observed_at":"2026-08-07T00:14:19.211207Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2202.02465/citation-record","integrity":"/paper/2202.02465/integrity","json":"/paper/2202.02465/citation-record.json","paper":"/paper/2202.02465"},"outbound":[],"paper":{"arxiv_id":"2202.02465","last_updated":"2022-02-05T02:01:19Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-07T18:31:48.606966Z","submitted_at":"2022-02-05T02:01:19Z","title":"ASHA: Assistive Teleoperation via Human-in-the-Loop 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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2202.02465."}