{"as_of":"2026-08-14T17:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dd244250e02b897ef731aa1fe953e109d31ad07a92cd08a6f05d5b2d2b610676","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":"2026-08-14T06:32:32.682623+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":"2026-08-05T14:43:36.668353Z","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":"2026-08-05T14:43:40.206081Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.20459","last_updated":"2025-04-29T06:39:20Z","snapshot_observed_at":"2026-08-07T15:58:21.204752Z","submitted_at":"2025-04-29T06:39:20Z","title":"SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement","version":1},"cited_work":{"arxiv_id":"2504.20459","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.20459","snapshot_observed_at":"2026-08-05T14:43:40.206081Z","title":"SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement","venue":"cs.RO","work_id":"e6af90ce-57b1-451d-bb84-18ee9e1e345c","year":2025},"citing_paper":{"arxiv_id":"2508.21043","last_updated":"2025-09-04T13:32:15Z","snapshot_observed_at":"2026-08-06T05:37:57.983283Z","submitted_at":"2025-08-28T17:49:12Z","title":"HITTER: A HumanoId Table TEnnis Robot via Hierarchical Planning and Learning","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T14:43:36.668353Z"},"links":{"cited_paper":"/paper/2504.20459","citing_paper":"/paper/2508.21043"},"observation_digest":"sha256:655932a0963a266c79a6c9da465899ce959f9eafeb465bd11e43260507bb9b22","observation_id":"be4a0ae4-f381-47ac-91fc-3aaf41eceecd","resolution":{"observed_at":"2026-08-05T14:43:40.298447Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2504.20459/citation-record","integrity":"/paper/2504.20459/integrity","json":"/paper/2504.20459/citation-record.json","paper":"/paper/2504.20459"},"outbound":[],"paper":{"arxiv_id":"2504.20459","last_updated":"2025-04-29T06:39:20Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-07T15:58:21.204752Z","submitted_at":"2025-04-29T06:39:20Z","title":"SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement"},"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 1 inbound Pith citation observation for arXiv:2504.20459."}