{"as_of":"2026-08-08T00:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9952260eb40792572a5c52f6598cdecab6d47f19f595627cd167211509528252","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:25:31.398583Z","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":"2026-07-02T09:16:48.853265Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.15100","last_updated":"2024-02-23T05:17:28Z","snapshot_observed_at":"2026-07-06T17:34:24.337596Z","submitted_at":"2024-02-23T05:17:28Z","title":"Studying LLM Performance on Closed- and Open-source Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.15100","snapshot_observed_at":"2026-08-07T15:25:31.398583Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15179","last_updated":"2025-05-21T06:51:25Z","snapshot_observed_at":"2026-08-07T15:20:34.025566Z","submitted_at":"2025-05-21T06:51:25Z","title":"RAG or Fine-tuning? A Comparative Study on LCMs-based Code Completion in Industry","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T15:25:31.398583Z"},"links":{"cited_paper":"/paper/2402.15100","citing_paper":"/paper/2505.15179"},"observation_digest":"sha256:e3e050690e69661cd29ce4a846bfe9b9d29d439d5952ea1b74fb4ff3f7c97c36","observation_id":"9ecca2f2-f854-4ee6-ac7a-ef07f7e585a3","resolution":{"observed_at":"2026-08-07T15:25:31.398583Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.15100","last_updated":"2024-02-23T05:17:28Z","snapshot_observed_at":"2026-07-06T17:34:24.337596Z","submitted_at":"2024-02-23T05:17:28Z","title":"Studying LLM Performance on Closed- and Open-source Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.15100","snapshot_observed_at":"2026-08-06T15:46:35.536355Z","title":"Studying LLM Performance on Closed-and Open-source Data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15157","last_updated":"2025-07-20T23:37:43Z","snapshot_observed_at":"2026-08-06T15:37:03.980714Z","submitted_at":"2025-07-20T23:37:43Z","title":"Can LLMs Generate User Stories and Assess Their Quality?","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T15:46:35.536355Z"},"links":{"cited_paper":"/paper/2402.15100","citing_paper":"/paper/2507.15157"},"observation_digest":"sha256:743cebe498bed0107ac780592e971fc38224ae46d73abadad6f979d194190c8e","observation_id":"1f9714e3-0296-486c-b346-01af923d3944","resolution":{"observed_at":"2026-08-06T15:46:35.536355Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.15100","last_updated":"2024-02-23T05:17:28Z","snapshot_observed_at":"2026-07-06T17:34:24.337596Z","submitted_at":"2024-02-23T05:17:28Z","title":"Studying LLM Performance on Closed- and Open-source Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.15100","snapshot_observed_at":"2026-08-06T14:35:29.458093Z","title":"Studying LLM Performance on Closed-and Open-source Data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.18515","last_updated":"2025-07-24T15:36:31Z","snapshot_observed_at":"2026-08-06T15:52:14.540485Z","submitted_at":"2025-07-24T15:36:31Z","title":"A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:29.458093Z"},"links":{"cited_paper":"/paper/2402.15100","citing_paper":"/paper/2507.18515"},"observation_digest":"sha256:9121163dac156b14a93371ad75bc356333c3f4809661b5b01da480fe34d8a5c2","observation_id":"f7e353a7-f422-4f03-bfc9-5de6b5858eb9","resolution":{"observed_at":"2026-08-06T14:35:29.458093Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.15100","last_updated":"2024-02-23T05:17:28Z","snapshot_observed_at":"2026-07-06T17:34:24.337596Z","submitted_at":"2024-02-23T05:17:28Z","title":"Studying LLM Performance on Closed- and Open-source Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.15100","snapshot_observed_at":"2026-08-05T23:24:23.878719Z","title":"Studying llm performance on closed-and open-source data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.05427","last_updated":"2025-08-07T14:17:23Z","snapshot_observed_at":"2026-08-07T08:28:17.765813Z","submitted_at":"2025-08-07T14:17:23Z","title":"Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation","version":1},"reference_index":104,"source":"pdf_text","source_observed_at":"2026-08-05T23:24:23.878719Z"},"links":{"cited_paper":"/paper/2402.15100","citing_paper":"/paper/2508.05427"},"observation_digest":"sha256:0291969e199dc9a9a917f175525f5f5058dfb7b89f8eea3a1b6dfda118d2638e","observation_id":"aa09c197-404e-4d5f-a884-8eb608a39789","resolution":{"observed_at":"2026-08-05T23:24:23.878719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.15100","last_updated":"2024-02-23T05:17:28Z","snapshot_observed_at":"2026-07-06T17:34:24.337596Z","submitted_at":"2024-02-23T05:17:28Z","title":"Studying LLM Performance on Closed- and Open-source Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.15100","snapshot_observed_at":"2026-08-05T04:37:02.568833Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.06052","last_updated":"2025-09-07T13:31:43Z","snapshot_observed_at":"2026-08-07T19:32:36.643939Z","submitted_at":"2025-09-07T13:31:43Z","title":"Empirical Study of Code Large Language Models for Binary Security Patch Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T04:37:02.568833Z"},"links":{"cited_paper":"/paper/2402.15100","citing_paper":"/paper/2509.06052"},"observation_digest":"sha256:262dc35001de1b1378661bc6036c620841fbdb97bebc17ff2065c7b9821c099a","observation_id":"ce01d0c2-70ad-42b8-82e3-42765c014f1a","resolution":{"observed_at":"2026-08-05T04:37:02.568833Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.15100","last_updated":"2024-02-23T05:17:28Z","snapshot_observed_at":"2026-07-06T17:34:24.337596Z","submitted_at":"2024-02-23T05:17:28Z","title":"Studying LLM Performance on Closed- and Open-source Data","version":1},"cited_work":{"arxiv_id":"2402.15100","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.15100","snapshot_observed_at":"2026-07-02T09:16:48.853265Z","title":null,"venue":null,"work_id":"69bd8fa1-a2e1-4515-88d4-d453fbd227f4","year":2024},"citing_paper":{"arxiv_id":"2607.00511","last_updated":"2026-07-01T06:46:13Z","snapshot_observed_at":"2026-07-07T00:06:09.887791Z","submitted_at":"2026-07-01T06:46:13Z","title":"Large Language Models for Multi-Lingual Equivalent Mutant Detection: An Extended Empirical Study","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-02T09:07:01.783340Z"},"links":{"cited_paper":"/paper/2402.15100","citing_paper":"/paper/2607.00511"},"observation_digest":"sha256:3246851734da77962b9f08e36bfce12c92af0fa810164b8c9c0f762d1feac63a","observation_id":"33651842-d4b9-4515-8fe2-718ecbd9afe5","resolution":{"observed_at":"2026-07-02T09:16:48.854631Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.15100/citation-record","integrity":"/paper/2402.15100/integrity","json":"/paper/2402.15100/citation-record.json","paper":"/paper/2402.15100"},"outbound":[],"paper":{"arxiv_id":"2402.15100","last_updated":"2024-02-23T05:17:28Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-07-06T17:34:24.337596Z","submitted_at":"2024-02-23T05:17:28Z","title":"Studying LLM Performance on Closed- and Open-source Data"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.15100."}