{"as_of":"2026-08-10T04:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c3f026adcb412f00fac888eafc3349cf1cec7fb7d558d854f1b646564daabaad","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T14:47:11.187114Z","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":"2026-05-14T20:42:58.352519Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.10455","last_updated":"2024-11-01T00:24:59Z","snapshot_observed_at":"2026-08-06T09:14:33.515284Z","submitted_at":"2024-11-01T00:24:59Z","title":"LLM-itation is the Sincerest Form of Data: Generating Synthetic Buggy Code Submissions for Computing Education","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.10455","snapshot_observed_at":"2026-08-07T14:47:11.187114Z","title":"(2024).Llm- itation is the sincerest form of data: Generating synthetic buggy code submissions for computing education.Retrieved from https://arxiv.org/abs/2411.10455","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18220","last_updated":"2025-05-23T08:39:58Z","snapshot_observed_at":"2026-08-09T05:10:05.073560Z","submitted_at":"2025-05-23T08:39:58Z","title":"Navigating Pitfalls: Evaluating LLMs in Machine Learning Programming Education","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:47:11.187114Z"},"links":{"cited_paper":"/paper/2411.10455","citing_paper":"/paper/2505.18220"},"observation_digest":"sha256:33d01eda82e124b4c0f0fb9c77c469f9592f5f7fd0560e2da825d195cf7d86cf","observation_id":"8a8523d4-8838-455f-a214-563360c8d8fe","resolution":{"observed_at":"2026-08-07T14:47:11.187114Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.10455","last_updated":"2024-11-01T00:24:59Z","snapshot_observed_at":"2026-08-06T09:14:33.515284Z","submitted_at":"2024-11-01T00:24:59Z","title":"LLM-itation is the Sincerest Form of Data: Generating Synthetic Buggy Code Submissions for Computing Education","version":1},"cited_work":{"arxiv_id":"2411.10455","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.10455","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e5099bc1-abc1-4a31-9be8-4d45846cd7b1","year":2024},"citing_paper":{"arxiv_id":"2605.12610","last_updated":"2026-05-12T18:02:04Z","snapshot_observed_at":"2026-07-06T23:24:18.302402Z","submitted_at":"2026-05-12T18:02:04Z","title":"Fine-Tuning Models for Automated Code Review Feedback","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-14T20:39:36.114056Z"},"links":{"cited_paper":"/paper/2411.10455","citing_paper":"/paper/2605.12610"},"observation_digest":"sha256:a1609e6a613cdbd6a925dc71706d353dd5444d4d34367bedf3295419469459a2","observation_id":"f1cfb13e-7979-45ce-8c1d-b19302ea8d0f","resolution":{"observed_at":"2026-05-14T20:42:58.355595Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.10455/citation-record","integrity":"/paper/2411.10455/integrity","json":"/paper/2411.10455/citation-record.json","paper":"/paper/2411.10455"},"outbound":[],"paper":{"arxiv_id":"2411.10455","last_updated":"2024-11-01T00:24:59Z","latest_version":1,"primary_category":"cs.CY","snapshot_observed_at":"2026-08-06T09:14:33.515284Z","submitted_at":"2024-11-01T00:24:59Z","title":"LLM-itation is the Sincerest Form of Data: Generating Synthetic Buggy Code Submissions for Computing Education"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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:2411.10455."}