{"as_of":"2026-08-19T06:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:837cf96b9de9d297fea8f42e85078678e89d38f4ac36bd0d3c9903e2201bd1c7","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:14:02.492685Z","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":"2026-05-13T20:18:06.834460Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.15747","last_updated":"2024-03-23T07:29:41Z","snapshot_observed_at":"2026-08-16T14:07:09.241503Z","submitted_at":"2024-03-23T07:29:41Z","title":"CodeShell Technical Report","version":1},"cited_work":{"arxiv_id":"2403.15747","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.15747","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d6e65416-8c87-4794-9835-c55cc3f52f3f","year":2024},"citing_paper":{"arxiv_id":"2406.00515","last_updated":"2024-11-10T22:02:27Z","snapshot_observed_at":"2026-08-14T16:40:35.729198Z","submitted_at":"2024-06-01T17:48:15Z","title":"A Survey on Large Language Models for Code Generation","version":2},"reference_index":292,"source":"pdf_text","source_observed_at":"2026-05-13T20:18:06.304134Z"},"links":{"cited_paper":"/paper/2403.15747","citing_paper":"/paper/2406.00515"},"observation_digest":"sha256:4f243772ec344ec8f9a488d88fb97cba733adabf3b1fbd49745f8044e1da3475","observation_id":"88e376a2-022e-4d2b-ab7f-9bef2a879edc","resolution":{"observed_at":"2026-05-13T20:18:06.836576Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15747","last_updated":"2024-03-23T07:29:41Z","snapshot_observed_at":"2026-08-16T14:07:09.241503Z","submitted_at":"2024-03-23T07:29:41Z","title":"CodeShell Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15747","snapshot_observed_at":"2026-08-11T11:40:13.876078Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15118","last_updated":"2025-06-06T12:13:42Z","snapshot_observed_at":"2026-08-17T11:16:52.279469Z","submitted_at":"2024-12-19T17:59:42Z","title":"Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation","version":2},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-11T11:40:13.876078Z"},"links":{"cited_paper":"/paper/2403.15747","citing_paper":"/paper/2412.15118"},"observation_digest":"sha256:061ff1e7130ab97ac8f3cad1362f4dd0ecad3f35d8a364dd8865fe2f6285ac3c","observation_id":"1c7dc39a-38f4-4129-8af0-d0d2aaecc3e3","resolution":{"observed_at":"2026-08-11T11:40:13.876078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15747","last_updated":"2024-03-23T07:29:41Z","snapshot_observed_at":"2026-08-16T14:07:09.241503Z","submitted_at":"2024-03-23T07:29:41Z","title":"CodeShell Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15747","snapshot_observed_at":"2026-08-08T16:26:32.469074Z","title":"Codeshell technical report","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06215","last_updated":"2025-02-10T07:33:49Z","snapshot_observed_at":"2026-08-13T19:59:18.728800Z","submitted_at":"2025-02-10T07:33:49Z","title":"LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-08T16:26:32.469074Z"},"links":{"cited_paper":"/paper/2403.15747","citing_paper":"/paper/2502.06215"},"observation_digest":"sha256:3831b1e74e3b586976a7bf71f94b4e2fc742264adc32cd86b34a31b08fec7aee","observation_id":"2d99bdb1-1c7b-4e95-861c-6dcc04757144","resolution":{"observed_at":"2026-08-08T16:26:32.469074Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15747","last_updated":"2024-03-23T07:29:41Z","snapshot_observed_at":"2026-08-16T14:07:09.241503Z","submitted_at":"2024-03-23T07:29:41Z","title":"CodeShell Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15747","snapshot_observed_at":"2026-08-15T21:14:02.492685Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.10494","last_updated":"2025-05-15T16:53:41Z","snapshot_observed_at":"2026-08-15T21:05:50.109992Z","submitted_at":"2025-05-15T16:53:41Z","title":"Can You Really Trust Code Copilots? Evaluating Large Language Models from a Code Security Perspective","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-15T21:14:02.492685Z"},"links":{"cited_paper":"/paper/2403.15747","citing_paper":"/paper/2505.10494"},"observation_digest":"sha256:01d222020a52827ba8a0e542eac2d649fb08b4a86e991670a35277abe5771adf","observation_id":"5c85ef4d-3134-41f8-a9ab-486f3f29e35b","resolution":{"observed_at":"2026-08-15T21:14:02.492685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.15747","last_updated":"2024-03-23T07:29:41Z","snapshot_observed_at":"2026-08-16T14:07:09.241503Z","submitted_at":"2024-03-23T07:29:41Z","title":"CodeShell Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.15747","snapshot_observed_at":"2026-08-07T04:57:01.114958Z","title":"John Yang, Carlos E","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.09289","last_updated":"2025-06-10T22:56:49Z","snapshot_observed_at":"2026-08-15T16:17:39.330894Z","submitted_at":"2025-06-10T22:56:49Z","title":"UTBoost: Rigorous Evaluation of Coding Agents on SWE-Bench","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T04:57:01.114958Z"},"links":{"cited_paper":"/paper/2403.15747","citing_paper":"/paper/2506.09289"},"observation_digest":"sha256:9c9b768b314410e5ee5b5c51d477f99bb99e946ae36cae1f1dd917f2cb49d18c","observation_id":"9fef7d60-b049-453c-bd61-71626341bf48","resolution":{"observed_at":"2026-08-07T04:57:01.114958Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2403.15747/citation-record","integrity":"/paper/2403.15747/integrity","json":"/paper/2403.15747/citation-record.json","paper":"/paper/2403.15747"},"outbound":[],"paper":{"arxiv_id":"2403.15747","last_updated":"2024-03-23T07:29:41Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-16T14:07:09.241503Z","submitted_at":"2024-03-23T07:29:41Z","title":"CodeShell Technical Report"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.15747."}