{"as_of":"2026-08-09T08:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:74a1e1ec554883a12ee8a20fe3ae2fa7b026852e0a709391d53f5a172e77969b","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":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":29,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T20:37:30.783627Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":4,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2309.03409","last_updated":"2024-04-15T07:50:32Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-07T00:07:15Z","title":"Large Language Models as Optimizers","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-15T00:04:31.212102Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2309.03409"},"observation_digest":"sha256:f56ebaeb999127b3c33a81ea74d9e1d240d809a52819caf38f7c4b2d8c0e52a4","observation_id":"c81dc964-0bea-4a68-8014-ef55452fac80","resolution":{"observed_at":"2026-05-15T00:04:31.313411Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2310.01798","last_updated":"2024-03-14T04:27:52Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-03T04:56:12Z","title":"Large Language Models Cannot Self-Correct Reasoning Yet","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-12T05:48:24.133045Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2310.01798"},"observation_digest":"sha256:ebd08ab726007c3127cef223d62f322600cdce253092560fac5f4154c4ed6443","observation_id":"e0c69cff-af37-44d8-9596-a7e8199a9e83","resolution":{"observed_at":"2026-05-12T05:48:27.667509Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2403.07974","last_updated":"2024-06-06T17:41:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-03-12T17:58:04Z","title":"LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code","version":2},"reference_index":289,"source":"arxiv_source","source_observed_at":"2026-05-10T17:34:42.565806Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2403.07974"},"observation_digest":"sha256:e8c335ed3e51124ab98ee76762d6c01b3cea0bb69e47ada50ef7e5d94a0fd3af","observation_id":"a90eec72-ddc4-4fda-aeca-ed3429c57871","resolution":{"observed_at":"2026-05-10T17:34:42.971027Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-07T20:37:30.783627Z","title":"Demystifying gpt self-repair for code generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.09771","last_updated":"2025-02-13T21:00:21Z","snapshot_observed_at":"2026-08-09T02:06:33.821437Z","submitted_at":"2025-02-13T21:00:21Z","title":"Knowledge-Enhanced Program Repair for Data Science Code","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T20:37:30.783627Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2502.09771"},"observation_digest":"sha256:38f0a69257be4554cd4b5024d64522d9dedda00e9e963918e32e62377f4d36d8","observation_id":"c27f78eb-c71c-4820-9720-b0250dab330a","resolution":{"observed_at":"2026-08-07T20:37:30.783627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-07T13:23:04.926650Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22010","last_updated":"2025-05-28T06:17:56Z","snapshot_observed_at":"2026-08-07T13:15:05.194793Z","submitted_at":"2025-05-28T06:17:56Z","title":"VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T13:23:04.926650Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2505.22010"},"observation_digest":"sha256:c107996124eaedebd55252384ef9a74c8b9950560dedbfd966d45fb931132ee4","observation_id":"b39e101f-d620-4e72-bae3-00271d788742","resolution":{"observed_at":"2026-08-07T13:23:04.926650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-07T10:35:02.120455Z","title":"Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, and Armando Solar-Lezama","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04894","last_updated":"2025-06-05T11:20:37Z","snapshot_observed_at":"2026-08-09T04:58:40.515829Z","submitted_at":"2025-06-05T11:20:37Z","title":"ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:35:02.120455Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2506.04894"},"observation_digest":"sha256:5c16e01e5f65c8539d957dcf16e3029c3edbc447aa7285f619183666c90297d8","observation_id":"ac9e268a-8594-43a4-8285-48859606379a","resolution":{"observed_at":"2026-08-07T10:35:02.120455Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-06T16:45:49.628025Z","title":"Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, and Armando Solar-Lezama","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.12674","last_updated":"2025-07-18T01:02:16Z","snapshot_observed_at":"2026-08-08T08:32:42.554755Z","submitted_at":"2025-07-16T23:12:14Z","title":"ParaStudent: Generating and Evaluating Realistic Student Code by Teaching LLMs to Struggle","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T16:45:49.628025Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2507.12674"},"observation_digest":"sha256:7e54dc10bb9f272120fd65b3341d75db71a69c09f8c59fa14fa7b626fd28bf1a","observation_id":"77a46828-bd5a-4c21-8a8d-a3e0a884139f","resolution":{"observed_at":"2026-08-06T16:45:49.628025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-06T15:52:20.416719Z","title":"Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, and Armando Solar-Lezama","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.15889","last_updated":"2025-07-20T02:10:46Z","snapshot_observed_at":"2026-08-08T19:59:26.147092Z","submitted_at":"2025-07-20T02:10:46Z","title":"Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T15:52:20.416719Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2507.15889"},"observation_digest":"sha256:37ef1c1378876e92e65635c75da1a14d22153df69c707edc9d31d50e82212e96","observation_id":"eda57aa0-43b2-4b46-8065-f2ffae79cd84","resolution":{"observed_at":"2026-08-06T15:52:20.416719Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T22:09:46.390474Z","title":"Is self-repair a silver bullet for code generation? arXiv preprint arXiv:2306.09896, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.07434","last_updated":"2025-08-10T17:11:56Z","snapshot_observed_at":"2026-08-07T02:35:17.826871Z","submitted_at":"2025-08-10T17:11:56Z","title":"Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T22:09:46.390474Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2508.07434"},"observation_digest":"sha256:eb68f4f1c3539c531dd459eafcb0ef89726ef50c26ae9967f970eddb5aa0ae4b","observation_id":"70354d8b-f5e8-4b42-97b8-6ff12d4096fc","resolution":{"observed_at":"2026-08-05T22:09:46.390474Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T11:39:12.054021Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.02330","last_updated":"2025-09-02T13:58:48Z","snapshot_observed_at":"2026-08-05T11:39:05.819788Z","submitted_at":"2025-09-02T13:58:48Z","title":"ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:12.054021Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2509.02330"},"observation_digest":"sha256:1084e945d11d6ac6f78d8355bb0139d28549f84939fd697cdff249c2d23fb027","observation_id":"e8bafda7-6ef8-4f28-8e39-0a04a1f81f91","resolution":{"observed_at":"2026-08-05T11:39:12.054021Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2601.08517","last_updated":"2026-05-04T13:22:35Z","snapshot_observed_at":"2026-08-02T18:38:11.484527Z","submitted_at":"2026-01-13T13:00:30Z","title":"Closed-Loop LLM Discovery of Non-Standard Channel Priors in Vision Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-16T14:34:24.849584Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2601.08517"},"observation_digest":"sha256:5acfe83fbacc8e63d5058bec0f7569a26e7947fcab412ce33e35f12cca683a1c","observation_id":"2f27346f-0723-456a-a953-31633a02eeb8","resolution":{"observed_at":"2026-05-16T14:38:00.539014Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2604.04580","last_updated":"2026-04-06T10:26:46Z","snapshot_observed_at":"2026-07-06T22:53:33.177713Z","submitted_at":"2026-04-06T10:26:46Z","title":"Beyond Fixed Tests: Repository-Level Issue Resolution as Coevolution of Code and Behavioral Constraints","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-10T20:12:53.062214Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2604.04580"},"observation_digest":"sha256:0b6cd2d9ecf7d6f70f1a27b9639d8294af4d8ed51a4e31e62828662936748323","observation_id":"a52148f0-f608-451c-b4c8-cd5ca7379190","resolution":{"observed_at":"2026-05-10T22:10:47.968969Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2604.10508","last_updated":"2026-04-12T07:51:41Z","snapshot_observed_at":"2026-07-06T22:59:09.778842Z","submitted_at":"2026-04-12T07:51:41Z","title":"How Many Tries Does It Take? Iterative Self-Repair in LLM Code Generation Across Model Scales and Benchmarks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T16:14:52.614444Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2604.10508"},"observation_digest":"sha256:dde45ffc1bea2b76e2eaf020fe577a9187596c3177d5f3d1cc12030def4494c0","observation_id":"e7e9436c-f4db-45d7-a90b-fae0ecf36e49","resolution":{"observed_at":"2026-05-11T09:06:00.438602Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2604.16198","last_updated":"2026-04-17T16:08:05Z","snapshot_observed_at":"2026-07-06T23:03:34.795570Z","submitted_at":"2026-04-17T16:08:05Z","title":"Bridging the Gap between User Intent and LLM: A Requirement Alignment Approach for Code Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T08:13:43.804756Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2604.16198"},"observation_digest":"sha256:0dd71f3e5637f9da0300d69d9e7c03edf084187ea7783ac1d6ba8e0f1ffd1f8c","observation_id":"276c460d-89c1-4c66-9402-14a8a8d0d8cf","resolution":{"observed_at":"2026-05-10T08:17:37.625463Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2604.17351","last_updated":"2026-04-19T09:57:56Z","snapshot_observed_at":"2026-07-31T14:57:16.542695Z","submitted_at":"2026-04-19T09:57:56Z","title":"SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-05-10T06:37:23.635987Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2604.17351"},"observation_digest":"sha256:83e80fdeaceac59cb4a0dea28edad4a5db8daaac82a7e9ed4e3d431a486f0acc","observation_id":"5d113fc9-7550-4395-bb75-b4ed534a4022","resolution":{"observed_at":"2026-05-10T06:41:36.829448Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2604.21715","last_updated":"2026-04-21T01:20:33Z","snapshot_observed_at":"2026-08-02T07:19:14.414743Z","submitted_at":"2026-04-21T01:20:33Z","title":"Automated LTL Specification Generation from Industrial Aerospace Requirements","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T03:13:11.928039Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2604.21715"},"observation_digest":"sha256:778d14c00c3312f6921e0357f2ec9824804b1c251d608df503138eb0a628bfa8","observation_id":"ab7305ac-535b-4218-aa58-e005d17e421f","resolution":{"observed_at":"2026-05-10T03:14:07.850971Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2604.23940","last_updated":"2026-05-01T21:28:31Z","snapshot_observed_at":"2026-08-02T04:55:02.592639Z","submitted_at":"2026-04-27T01:28:11Z","title":"Constraint-Guided Multi-Agent Decompilation for Executable Binary Recovery","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-08T03:38:20.915757Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2604.23940"},"observation_digest":"sha256:ae5a90e32b3fbd4c9ba1d362d55bb813c4cb1d256a8bc5aa512d3902eb282af5","observation_id":"990dea94-b53d-4b1d-b40f-355872e53471","resolution":{"observed_at":"2026-05-11T22:01:11.715782Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2605.08455","last_updated":"2026-05-26T07:39:54Z","snapshot_observed_at":"2026-08-02T13:58:00.430912Z","submitted_at":"2026-05-08T20:24:32Z","title":"CUDABeaver: Benchmarking LLM-Based Automated CUDA Debugging","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-12T01:43:06.644640Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2605.08455"},"observation_digest":"sha256:a0325a2b0c9a48c9748be6d9f81baaead50bf535ee6ba79d8659a29f3b5aa530","observation_id":"60754144-503f-4c1c-9a7d-bb40086f27e2","resolution":{"observed_at":"2026-05-12T01:46:14.170112Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2605.08455","last_updated":"2026-05-26T07:39:54Z","snapshot_observed_at":"2026-08-02T13:58:00.430912Z","submitted_at":"2026-05-08T20:24:32Z","title":"CUDABeaver: Benchmarking LLM-Based Automated CUDA Debugging","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-30T22:54:20.299335Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2605.08455"},"observation_digest":"sha256:63f1d147e598fc8230ad74d5464463ceae513c51013208ae815f15e79f01c008","observation_id":"a75bc7c7-325e-4909-9394-e57c48dbcbbc","resolution":{"observed_at":"2026-07-01T13:35:46.945704Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2605.08717","last_updated":"2026-06-05T02:50:49Z","snapshot_observed_at":"2026-08-03T00:35:36.506305Z","submitted_at":"2026-05-09T06:02:08Z","title":"Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-12T01:04:00.001074Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2605.08717"},"observation_digest":"sha256:c7f18ca05b5ec4f4041132b8165d774cb660e10017659741d60b4a2ac346538d","observation_id":"c29a25c8-900d-4707-8646-32bdc99c9789","resolution":{"observed_at":"2026-05-12T08:31:24.394395Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2605.08717","last_updated":"2026-06-05T02:50:49Z","snapshot_observed_at":"2026-08-03T00:35:36.506305Z","submitted_at":"2026-05-09T06:02:08Z","title":"Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-30T23:10:05.314970Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2605.08717"},"observation_digest":"sha256:28bd37913a021ecf040c293547cbd75a4717aa88cce80d62ad0e8fb07aa7d933","observation_id":"3274600f-57c0-4985-a34b-096d8794e31f","resolution":{"observed_at":"2026-07-01T13:25:46.324484Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2605.26807","last_updated":"2026-05-26T10:22:56Z","snapshot_observed_at":"2026-08-01T07:41:43.556195Z","submitted_at":"2026-05-26T10:22:56Z","title":"HTMLCure: Turning Browser Experience into State Guided Repair for Interactive HTML","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-29T15:56:24.222373Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2605.26807"},"observation_digest":"sha256:598afe2a0a37aad49e9515a4c8d7434f1286cc2ac5f219547970930ce874c994","observation_id":"7db0c9b5-e40b-4d06-817f-a823530e2852","resolution":{"observed_at":"2026-06-29T16:03:34.061570Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2605.30052","last_updated":"2026-05-28T15:03:17Z","snapshot_observed_at":"2026-08-06T18:53:11.609495Z","submitted_at":"2026-05-28T15:03:17Z","title":"REPOT: Recoverable Program-of-Thought via Checkpoint Repair","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-06-29T06:22:46.440678Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2605.30052"},"observation_digest":"sha256:1bed8fd64dbc2405edafa799cbac4f802ba6828f5991e228535a39190c7c5197","observation_id":"1e0c6629-f861-4e00-aa4c-e3bb5885796d","resolution":{"observed_at":"2026-06-29T06:23:08.660929Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2606.05976","last_updated":"2026-07-31T08:26:14Z","snapshot_observed_at":"2026-08-05T23:10:45.588490Z","submitted_at":"2026-06-04T10:17:00Z","title":"The Self-Correction Illusion: Role Relabeling Gates Explicit Error Flagging in Large Language Models","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-06-28T01:25:07.890796Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2606.05976"},"observation_digest":"sha256:ce836044bd879ea222707144543280aa4adcb1c1333ea23c9680b7a29a2836b2","observation_id":"e5d04ae8-0db1-46f9-8092-e696656b4934","resolution":{"observed_at":"2026-06-28T01:31:29.307139Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2606.19317","last_updated":"2026-06-29T15:31:17Z","snapshot_observed_at":"2026-08-03T17:04:51.637554Z","submitted_at":"2026-06-17T17:40:55Z","title":"Explaining Attention with Program Synthesis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-26T20:46:01.403927Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2606.19317"},"observation_digest":"sha256:0b08b5457c2489358f4dbae8b86c5c4aa5205810329cb540db16dac0da94a3e7","observation_id":"d816aff7-6d6d-4c73-a555-85151dc9af82","resolution":{"observed_at":"2026-07-04T00:59:20.987197Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":"2306.09896","doi":"10.48550/arxiv.2306.09896","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Demystifying gpt self-repair for code generation","venue":"arXiv (Cornell University)","work_id":"2e065f4d-3787-4c0c-b03a-9625de46bcc6","year":2023},"citing_paper":{"arxiv_id":"2606.19317","last_updated":"2026-06-29T15:31:17Z","snapshot_observed_at":"2026-08-03T17:04:51.637554Z","submitted_at":"2026-06-17T17:40:55Z","title":"Explaining Attention with Program Synthesis","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-30T10:20:46.759958Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2606.19317"},"observation_digest":"sha256:58a41d8ed497b37cf845a9d6a35f4f5f56e9800403bf9022208800c7a2ae77e1","observation_id":"2c72d623-d306-4e70-81ed-49e4164bfa21","resolution":{"observed_at":"2026-06-30T11:54:39.152301Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-07-11T19:29:32.509575Z","title":"Ouyang, A., Guo, S., Arora, S., Zhang, A","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.04395","last_updated":"2026-07-05T16:37:41Z","snapshot_observed_at":"2026-08-08T11:11:35.243787Z","submitted_at":"2026-07-05T16:37:41Z","title":"NKI-Agent: Domain-Specific Fine-Tuning and Agentic Tool Use for Neuron Kernel Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-11T19:29:32.509575Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2607.04395"},"observation_digest":"sha256:680e58f68d132a4436870febb23c8f7adce3328c4b992744941dc22d707c50fe","observation_id":"1f9ada4f-e3e8-42ef-90e6-98c91e9f18d0","resolution":{"observed_at":"2026-07-11T19:29:32.509575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-02T12:49:12.672103Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20478","last_updated":"2026-05-29T12:43:27Z","snapshot_observed_at":"2026-08-06T14:45:26.212729Z","submitted_at":"2026-05-29T12:43:27Z","title":"Verifier-First Evaluation of Agentic LLMs for Infrastructure-as-Code Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T12:49:12.672103Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2607.20478"},"observation_digest":"sha256:1ae886771a63323d74069445ec24b74cfb679475510d192c9d6f6564aa72497c","observation_id":"422e51b4-7d45-4847-81fa-fe289be0a411","resolution":{"observed_at":"2026-08-02T12:49:12.672103Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for Code Generation?","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09896","snapshot_observed_at":"2026-08-05T18:51:30.162658Z","title":"Is self-repair a silver bullet for code generation?arXiv preprint arXiv:2306.09896, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.03461","last_updated":"2026-08-04T10:57:31Z","snapshot_observed_at":"2026-08-08T21:06:43.326357Z","submitted_at":"2026-08-04T10:57:31Z","title":"Solver-Aware Decompositions for Programming-by-Example: When Dividing Requires Knowing how to Conquer","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T18:51:30.162658Z"},"links":{"cited_paper":"/paper/2306.09896","citing_paper":"/paper/2608.03461"},"observation_digest":"sha256:b8be13d4c22dfcb9ec6611ea90958329d730ab8e51d744593ad0f169430ce5a2","observation_id":"74643d82-c2ea-49c6-8c8b-460ce83edb48","resolution":{"observed_at":"2026-08-05T18:51:30.162658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2306.09896/citation-record","integrity":"/paper/2306.09896/integrity","json":"/paper/2306.09896/citation-record.json","paper":"/paper/2306.09896"},"outbound":[],"paper":{"arxiv_id":"2306.09896","last_updated":"2024-02-02T18:31:34Z","latest_version":5,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T10:06:10.773161Z","submitted_at":"2023-06-16T15:13:17Z","title":"Is Self-Repair a Silver Bullet for 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2306.09896."}