{"as_of":"2026-08-17T14:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:80cad3145e0a058e9feaf34c00da6676a4da003482ad8b04b622bd7e02be8a82","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":"2026-08-17T06:30:58.91139+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":"2026-08-07T10:27:51.045568Z","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":"2026-08-06T22:03:32.423120Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.05437","last_updated":"2024-07-07T16:41:07Z","snapshot_observed_at":"2026-08-16T13:36:24.144830Z","submitted_at":"2024-07-07T16:41:07Z","title":"Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.05437","snapshot_observed_at":"2026-08-07T10:27:51.045568Z","title":"38975– 38987)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06390","last_updated":"2025-06-05T15:16:30Z","snapshot_observed_at":"2026-08-16T07:39:12.902263Z","submitted_at":"2025-06-05T15:16:30Z","title":"Benchmarking Large Language Models on Homework Assessment in Circuit Analysis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:27:51.045568Z"},"links":{"cited_paper":"/paper/2407.05437","citing_paper":"/paper/2506.06390"},"observation_digest":"sha256:4546226c4b95b7a9b502e902c4e3e70f4b452085fecb81312c8c84d581aa98d2","observation_id":"5bad4ea6-fa40-46aa-b1b6-406f91c2d51a","resolution":{"observed_at":"2026-08-07T10:27:51.045568Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.05437","last_updated":"2024-07-07T16:41:07Z","snapshot_observed_at":"2026-08-16T13:36:24.144830Z","submitted_at":"2024-07-07T16:41:07Z","title":"Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.05437","snapshot_observed_at":"2026-08-06T23:10:12.892063Z","title":"Enhancing computer programming education with LLMs: A study on effective Prompt engineering for Python code generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.19897","last_updated":"2025-06-24T13:02:35Z","snapshot_observed_at":"2026-08-08T11:24:18.587635Z","submitted_at":"2025-06-24T13:02:35Z","title":"Can LLMs Replace Humans During Code Chunking?","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:10:12.892063Z"},"links":{"cited_paper":"/paper/2407.05437","citing_paper":"/paper/2506.19897"},"observation_digest":"sha256:88654bf5428ee3cf699f5ee82e4d7ef94fd55cb6505ddec3e5ff4753cd26d87e","observation_id":"e6c0281a-ae17-4012-accd-e6cbeaa49312","resolution":{"observed_at":"2026-08-06T23:10:12.892063Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.05437","last_updated":"2024-07-07T16:41:07Z","snapshot_observed_at":"2026-08-16T13:36:24.144830Z","submitted_at":"2024-07-07T16:41:07Z","title":"Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation","version":1},"cited_work":{"arxiv_id":"2407.05437","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.05437","snapshot_observed_at":"2026-08-06T22:03:32.423120Z","title":"Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation","venue":"cs.AI","work_id":"23993424-5f4b-4ab5-b050-a8876725816e","year":2024},"citing_paper":{"arxiv_id":"2506.22954","last_updated":"2025-06-28T17:18:23Z","snapshot_observed_at":"2026-08-14T21:16:48.464326Z","submitted_at":"2025-06-28T17:18:23Z","title":"Evaluating and Improving Large Language Models for Competitive Program Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:03:28.048952Z"},"links":{"cited_paper":"/paper/2407.05437","citing_paper":"/paper/2506.22954"},"observation_digest":"sha256:18b65d3a1bd5a8507506f29538989427a3e269aa18ec5b141d21245c1de1d13a","observation_id":"8cf030b4-3b19-465c-8308-7032314ca97c","resolution":{"observed_at":"2026-08-06T22:03:32.550494Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.05437/citation-record","integrity":"/paper/2407.05437/integrity","json":"/paper/2407.05437/citation-record.json","paper":"/paper/2407.05437"},"outbound":[],"paper":{"arxiv_id":"2407.05437","last_updated":"2024-07-07T16:41:07Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-16T13:36:24.144830Z","submitted_at":"2024-07-07T16:41:07Z","title":"Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.05437."}