{"as_of":"2026-08-08T07:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:60f73c1ae97a3c9bcc031218fb3bbe51ff9531a08a74214dc8f175d78a66ebb2","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:34:36.936956Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-10T07:32:00.276184Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.14317","last_updated":"2024-01-22T17:06:50Z","snapshot_observed_at":"2026-08-05T03:51:04.575144Z","submitted_at":"2023-04-27T16:38:17Z","title":"ICE-Score: Instructing Large Language Models to Evaluate Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.14317","snapshot_observed_at":"2026-08-06T19:34:36.936956Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.05200","last_updated":"2025-07-07T17:01:17Z","snapshot_observed_at":"2026-08-07T03:53:01.367546Z","submitted_at":"2025-07-07T17:01:17Z","title":"In-Context Learning as an Effective Estimator of Functional Correctness of LLM-Generated Code","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T19:34:36.936956Z"},"links":{"cited_paper":"/paper/2304.14317","citing_paper":"/paper/2507.05200"},"observation_digest":"sha256:60a4c546de0ac6e1ec0d8a4a7bffe9898f25d83b79091d32ea5b171f81290a5b","observation_id":"bd8878b1-3bcb-4fb3-ba83-47ba142e2d6e","resolution":{"observed_at":"2026-08-06T19:34:36.936956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.14317","last_updated":"2024-01-22T17:06:50Z","snapshot_observed_at":"2026-08-05T03:51:04.575144Z","submitted_at":"2023-04-27T16:38:17Z","title":"ICE-Score: Instructing Large Language Models to Evaluate Code","version":2},"cited_work":{"arxiv_id":"2304.14317","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.14317","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"af2ff8d4-d2d9-49cb-a7c5-a4d8c8c51ef1","year":2024},"citing_paper":{"arxiv_id":"2604.16790","last_updated":"2026-04-18T02:35:05Z","snapshot_observed_at":"2026-07-06T23:04:01.558812Z","submitted_at":"2026-04-18T02:35:05Z","title":"Bias in the Loop: Auditing LLM-as-a-Judge for Software Engineering","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T07:29:03.994957Z"},"links":{"cited_paper":"/paper/2304.14317","citing_paper":"/paper/2604.16790"},"observation_digest":"sha256:95f6adb1c93b9ddacf222238310b1255d32175d3d0ca280dc1a2b2673b18c205","observation_id":"67c31f2d-c63d-425a-aa85-98d694b3845b","resolution":{"observed_at":"2026-05-10T07:32:00.277459Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2304.14317","last_updated":"2024-01-22T17:06:50Z","snapshot_observed_at":"2026-08-05T03:51:04.575144Z","submitted_at":"2023-04-27T16:38:17Z","title":"ICE-Score: Instructing Large Language Models to Evaluate Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.14317","snapshot_observed_at":"2026-07-13T02:24:25.366633Z","title":"arXiv preprint arXiv:2304.14317 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.09524","last_updated":"2026-07-10T15:33:47Z","snapshot_observed_at":"2026-08-06T23:37:38.871636Z","submitted_at":"2026-07-10T15:33:47Z","title":"Balancing Usefulness and Naturalness: An LLM-based Curation Pipeline for Code Review Comments","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-07-13T02:24:25.366633Z"},"links":{"cited_paper":"/paper/2304.14317","citing_paper":"/paper/2607.09524"},"observation_digest":"sha256:70513f3a5046a727986046893ee0988c9111146fad46b511df91a3e31db76894","observation_id":"11d3349f-b591-41f4-bd36-afda58905c82","resolution":{"observed_at":"2026-07-13T02:24:25.366633Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2304.14317/citation-record","integrity":"/paper/2304.14317/integrity","json":"/paper/2304.14317/citation-record.json","paper":"/paper/2304.14317"},"outbound":[],"paper":{"arxiv_id":"2304.14317","last_updated":"2024-01-22T17:06:50Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-05T03:51:04.575144Z","submitted_at":"2023-04-27T16:38:17Z","title":"ICE-Score: Instructing Large Language Models to Evaluate Code"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2304.14317."}