{"as_of":"2026-08-09T04:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:783390e12e8e42c90c95b6ccecc75951ec4c01039546080bcbe0513921509039","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T11:31:54.067709Z","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":"2026-08-07T11:31:54.540885Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.09643","last_updated":"2025-04-13T16:34:17Z","snapshot_observed_at":"2026-08-07T16:06:07.784754Z","submitted_at":"2025-04-13T16:34:17Z","title":"Iterative Self-Training for Code Generation via Reinforced Re-Ranking","version":1},"cited_work":{"arxiv_id":"2504.09643","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.09643","snapshot_observed_at":"2026-08-07T11:31:54.540885Z","title":"Iterative Self-Training for Code Generation via Reinforced Re-Ranking","venue":"cs.CL","work_id":"cc1c5d56-b6bb-4a40-8ca5-8809616bcf66","year":2025},"citing_paper":{"arxiv_id":"2506.02211","last_updated":"2025-06-02T19:50:16Z","snapshot_observed_at":"2026-08-07T11:26:06.598387Z","submitted_at":"2025-06-02T19:50:16Z","title":"Improving LLM-Generated Code Quality with GRPO","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T11:31:54.067709Z"},"links":{"cited_paper":"/paper/2504.09643","citing_paper":"/paper/2506.02211"},"observation_digest":"sha256:a8e2f8896294e926b1c048dadd0f905011b02d7599e21ba55aa23d469def1304","observation_id":"7aa5ae01-ac28-44cb-aa26-bbf9606695d6","resolution":{"observed_at":"2026-08-07T11:31:54.623757Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.09643/citation-record","integrity":"/paper/2504.09643/integrity","json":"/paper/2504.09643/citation-record.json","paper":"/paper/2504.09643"},"outbound":[],"paper":{"arxiv_id":"2504.09643","last_updated":"2025-04-13T16:34:17Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T16:06:07.784754Z","submitted_at":"2025-04-13T16:34:17Z","title":"Iterative Self-Training for Code Generation via Reinforced Re-Ranking"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2504.09643."}