{"as_of":"2026-08-07T13:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e09e51e309892bfdbcc55ae094a2706dbc573613dbba35481265f4ffd0f654c4","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:29:17.440179Z","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":"2026-05-15T02:33:32.407193Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.09420","last_updated":"2023-05-08T10:25:41Z","snapshot_observed_at":"2026-08-03T21:06:36.379863Z","submitted_at":"2022-12-19T12:55:32Z","title":"Large Language Models Meet NL2Code: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09420","snapshot_observed_at":"2026-08-07T12:29:17.440179Z","title":"Large Language Models Meet NL2Code: A Survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24324","last_updated":"2025-05-30T08:06:30Z","snapshot_observed_at":"2026-08-07T12:22:58.147433Z","submitted_at":"2025-05-30T08:06:30Z","title":"SwiftEval: Developing a Language-Specific Benchmark for LLM-generated Code Evaluation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:29:17.440179Z"},"links":{"cited_paper":"/paper/2212.09420","citing_paper":"/paper/2505.24324"},"observation_digest":"sha256:4661146b6453dc51846c7bf5b1a7804f8fb5a6ee463fa73925505298e0124f11","observation_id":"4e8e84b3-d10f-49f2-b574-4d8f8eaf4e04","resolution":{"observed_at":"2026-08-07T12:29:17.440179Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09420","last_updated":"2023-05-08T10:25:41Z","snapshot_observed_at":"2026-08-03T21:06:36.379863Z","submitted_at":"2022-12-19T12:55:32Z","title":"Large Language Models Meet NL2Code: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09420","snapshot_observed_at":"2026-08-06T19:19:00.630740Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.05962","last_updated":"2025-07-08T13:10:32Z","snapshot_observed_at":"2026-08-06T19:11:51.382282Z","submitted_at":"2025-07-08T13:10:32Z","title":"Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T19:19:00.630740Z"},"links":{"cited_paper":"/paper/2212.09420","citing_paper":"/paper/2507.05962"},"observation_digest":"sha256:e92f3426481cf4f37b100f825c584c2476de772c2da32827f67a25ea756d05dd","observation_id":"3e2ae659-4147-4feb-955e-2a0749e78e41","resolution":{"observed_at":"2026-08-06T19:19:00.630740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09420","last_updated":"2023-05-08T10:25:41Z","snapshot_observed_at":"2026-08-03T21:06:36.379863Z","submitted_at":"2022-12-19T12:55:32Z","title":"Large Language Models Meet NL2Code: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09420","snapshot_observed_at":"2026-08-05T04:48:39.496588Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.05980","last_updated":"2025-09-07T09:01:48Z","snapshot_observed_at":"2026-08-07T08:45:17.912487Z","submitted_at":"2025-09-07T09:01:48Z","title":"GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T04:48:39.496588Z"},"links":{"cited_paper":"/paper/2212.09420","citing_paper":"/paper/2509.05980"},"observation_digest":"sha256:01c2df208fcd5f02987d1ccfc3d10dc238b8ad60a76f9c512d9e19fd12de6217","observation_id":"c0146b42-b23a-41c2-abc6-c3764c6cb99e","resolution":{"observed_at":"2026-08-05T04:48:39.496588Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09420","last_updated":"2023-05-08T10:25:41Z","snapshot_observed_at":"2026-08-03T21:06:36.379863Z","submitted_at":"2022-12-19T12:55:32Z","title":"Large Language Models Meet NL2Code: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09420","snapshot_observed_at":"2026-08-04T21:20:45.948548Z","title":"Guibin Zhang, Yanwei Yue, Xiangguo Sun, Guancheng Wan, Miao Yu, Junfeng Fang, Kun Wang, Tianlong Chen, and Dawei Cheng","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08088","last_updated":"2025-09-09T18:51:36Z","snapshot_observed_at":"2026-08-04T21:20:45.517146Z","submitted_at":"2025-09-09T18:51:36Z","title":"EnvX: Agentize Everything with Agentic AI","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T21:20:45.948548Z"},"links":{"cited_paper":"/paper/2212.09420","citing_paper":"/paper/2509.08088"},"observation_digest":"sha256:b70c7bea3762f83ee5e6d746304ad5b2da09cb53391c3d39ba819059d2f89988","observation_id":"10d1cfa8-c264-4667-8835-78ea5d5d083c","resolution":{"observed_at":"2026-08-04T21:20:45.948548Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09420","last_updated":"2023-05-08T10:25:41Z","snapshot_observed_at":"2026-08-03T21:06:36.379863Z","submitted_at":"2022-12-19T12:55:32Z","title":"Large Language Models Meet NL2Code: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09420","snapshot_observed_at":"2026-08-03T16:11:47.699317Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.14792","last_updated":"2025-12-16T14:58:00Z","snapshot_observed_at":"2026-08-03T16:11:38.858814Z","submitted_at":"2025-12-16T14:58:00Z","title":"IaC Generation with LLMs: An Error Taxonomy and A Study on Configuration Knowledge Injection","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-03T16:11:47.699317Z"},"links":{"cited_paper":"/paper/2212.09420","citing_paper":"/paper/2512.14792"},"observation_digest":"sha256:e8ce92f0454aaf865fbbaca641df8d0fc0d38f83dc8e3044b2a0dc6bcac9cbff","observation_id":"205e44a2-43bd-4e3e-98bc-63558af5715e","resolution":{"observed_at":"2026-08-03T16:11:47.699317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09420","last_updated":"2023-05-08T10:25:41Z","snapshot_observed_at":"2026-08-03T21:06:36.379863Z","submitted_at":"2022-12-19T12:55:32Z","title":"Large Language Models Meet NL2Code: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.09420","snapshot_observed_at":"2026-08-03T06:14:30.111039Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.23254","last_updated":"2026-07-29T07:40:43Z","snapshot_observed_at":"2026-08-03T06:14:23.946322Z","submitted_at":"2026-01-30T18:22:15Z","title":"Better Call Grep: Evaluating and Improving Grep-Like Lexical Retrieval for Repository-Level Code Completion","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-03T06:14:30.111039Z"},"links":{"cited_paper":"/paper/2212.09420","citing_paper":"/paper/2601.23254"},"observation_digest":"sha256:ec2718bb7f150637d5d66dd0aec47bb4d8190d2a5f26388a1ce7dcbcd202313b","observation_id":"c8f0897d-b28e-493a-9dce-06171832dec6","resolution":{"observed_at":"2026-08-03T06:14:30.111039Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.09420","last_updated":"2023-05-08T10:25:41Z","snapshot_observed_at":"2026-08-03T21:06:36.379863Z","submitted_at":"2022-12-19T12:55:32Z","title":"Large Language Models Meet NL2Code: A Survey","version":2},"cited_work":{"arxiv_id":"2212.09420","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.09420","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2212.09420 , year=","venue":null,"work_id":"2d656264-8099-4dd0-8212-930d561524d9","year":null},"citing_paper":{"arxiv_id":"2605.14415","last_updated":"2026-05-14T06:04:40Z","snapshot_observed_at":"2026-07-06T23:25:49.545418Z","submitted_at":"2026-05-14T06:04:40Z","title":"SWE-Chain: Benchmarking Coding Agents on Chained Release-Level Package Upgrades","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-15T02:31:18.183715Z"},"links":{"cited_paper":"/paper/2212.09420","citing_paper":"/paper/2605.14415"},"observation_digest":"sha256:4329034ec1513e808345551cbdd3912b6c393978f3527455409118232e45468e","observation_id":"43f002bb-98c7-4473-8e54-7fbbba4738cd","resolution":{"observed_at":"2026-05-15T02:33:32.408745Z","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/2212.09420/citation-record","integrity":"/paper/2212.09420/integrity","json":"/paper/2212.09420/citation-record.json","paper":"/paper/2212.09420"},"outbound":[],"paper":{"arxiv_id":"2212.09420","last_updated":"2023-05-08T10:25:41Z","latest_version":2,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-03T21:06:36.379863Z","submitted_at":"2022-12-19T12:55:32Z","title":"Large Language Models Meet NL2Code: A Survey"},"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 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2212.09420."}