{"as_of":"2026-08-06T18:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ae697d0f87c86ef8181a6d54c29caa708cd3cf84dc6e97b85825b55bc96701e5","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":"2026-08-06T06:34:29.942622+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":"2026-08-06T15:10:23.715529Z","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":"2026-08-06T00:16:16.768632Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.04873","last_updated":"2024-11-22T01:13:13Z","snapshot_observed_at":"2026-08-04T14:06:13.532983Z","submitted_at":"2024-07-05T21:44:11Z","title":"Evaluating Language Models for Generating and Judging Programming Feedback","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04873","snapshot_observed_at":"2026-08-06T15:10:23.715529Z","title":"Evaluating Language Models for Generating and Judging Programming Feedback,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16587","last_updated":"2025-07-22T13:40:26Z","snapshot_observed_at":"2026-08-06T15:04:15.420149Z","submitted_at":"2025-07-22T13:40:26Z","title":"On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T15:10:23.715529Z"},"links":{"cited_paper":"/paper/2407.04873","citing_paper":"/paper/2507.16587"},"observation_digest":"sha256:0d0768567fda30780f2f2cc1a3162f1a6ec1f774f5c9544055b3a536f36b73e2","observation_id":"d9ccdde0-ae2c-48d6-859f-7bd278f7055b","resolution":{"observed_at":"2026-08-06T15:10:23.715529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04873","last_updated":"2024-11-22T01:13:13Z","snapshot_observed_at":"2026-08-04T14:06:13.532983Z","submitted_at":"2024-07-05T21:44:11Z","title":"Evaluating Language Models for Generating and Judging Programming Feedback","version":2},"cited_work":{"arxiv_id":"2407.04873","doi":"10.48550/arxiv.2407.04873","metadata_source":"pith","pith_arxiv_id":"2407.04873","snapshot_observed_at":"2026-08-06T00:16:16.768632Z","title":"Evaluating Language Models for Generating and Judging Programming Feedback","venue":"cs.AI","work_id":"4a6a1b64-8a3b-43f0-9050-d57ce8fef677","year":2024},"citing_paper":{"arxiv_id":"2508.09911","last_updated":"2025-08-13T16:07:45Z","snapshot_observed_at":"2026-08-05T20:48:20.146565Z","submitted_at":"2025-08-13T16:07:45Z","title":"Wisdom of the Crowd, Without the Crowd: A Socratic LLM for Asynchronous Deliberation on Perspectivist Data","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-05T20:48:28.615358Z"},"links":{"cited_paper":"/paper/2407.04873","citing_paper":"/paper/2508.09911"},"observation_digest":"sha256:a7f5d3b2ae0c8f443f949306c9bee6e74c62968eb51b4557cd6f86128c16aa14","observation_id":"7928f3cf-f799-45de-b4f7-186211f748b5","resolution":{"observed_at":"2026-08-05T20:48:35.462202Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.04873/citation-record","integrity":"/paper/2407.04873/integrity","json":"/paper/2407.04873/citation-record.json","paper":"/paper/2407.04873"},"outbound":[],"paper":{"arxiv_id":"2407.04873","last_updated":"2024-11-22T01:13:13Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-04T14:06:13.532983Z","submitted_at":"2024-07-05T21:44:11Z","title":"Evaluating Language Models for Generating and Judging Programming 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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.04873."}