{"as_of":"2026-08-10T17:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3940ebec5d0db43bfc1392022480f53011629b9094dce1caf4fa7023fe0c55e0","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":"2026-08-10T06:31:04.303077+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":"2026-08-10T15:19:35.920369Z","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":"2026-08-09T15:10:39.152141Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2203.05132","last_updated":"2022-03-10T03:15:17Z","snapshot_observed_at":"2026-08-06T05:39:12.203368Z","submitted_at":"2022-03-10T03:15:17Z","title":"Compilable Neural Code Generation with Compiler Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.05132","snapshot_observed_at":"2026-08-10T15:19:35.920369Z","title":"arXiv preprint arXiv:2203.05132 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.14326","last_updated":"2025-09-04T17:49:22Z","snapshot_observed_at":"2026-08-10T15:12:43.125684Z","submitted_at":"2025-01-24T08:39:50Z","title":"Assessing Large Language Models in Comprehending and Verifying Concurrent Programs across Memory Models","version":2},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-10T15:19:35.920369Z"},"links":{"cited_paper":"/paper/2203.05132","citing_paper":"/paper/2501.14326"},"observation_digest":"sha256:dd607857a5d8de6600001310e6ac4d8306d1665f446b88936ef2fc830c78fea1","observation_id":"d4357598-66a9-4091-9817-c5519bd1d4db","resolution":{"observed_at":"2026-08-10T15:19:35.920369Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.05132","last_updated":"2022-03-10T03:15:17Z","snapshot_observed_at":"2026-08-06T05:39:12.203368Z","submitted_at":"2022-03-10T03:15:17Z","title":"Compilable Neural Code Generation with Compiler Feedback","version":1},"cited_work":{"arxiv_id":"2203.05132","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.05132","snapshot_observed_at":"2026-08-09T15:10:39.152141Z","title":"Compilable Neural Code Generation with Compiler Feedback","venue":"cs.CL","work_id":"49b15079-beee-4712-8ba1-dfa93d4670ff","year":2022},"citing_paper":{"arxiv_id":"2502.01715","last_updated":"2025-02-03T16:22:06Z","snapshot_observed_at":"2026-08-10T14:38:26.032050Z","submitted_at":"2025-02-03T16:22:06Z","title":"Process-Supervised Reinforcement Learning for Code Generation","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-09T15:10:38.949102Z"},"links":{"cited_paper":"/paper/2203.05132","citing_paper":"/paper/2502.01715"},"observation_digest":"sha256:5782a25eaf87df22a22a455b9682b3a636c6619e954c0309e928611c521f0418","observation_id":"247ed4be-1511-457e-b6a0-261ed9b59708","resolution":{"observed_at":"2026-08-09T15:10:39.157183Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2203.05132/citation-record","integrity":"/paper/2203.05132/integrity","json":"/paper/2203.05132/citation-record.json","paper":"/paper/2203.05132"},"outbound":[],"paper":{"arxiv_id":"2203.05132","last_updated":"2022-03-10T03:15:17Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T05:39:12.203368Z","submitted_at":"2022-03-10T03:15:17Z","title":"Compilable Neural Code Generation with Compiler Feedback"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.05132."}