{"as_of":"2026-08-10T12:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9e2fcf2898f2df3ee2ea809be057f00789b67c9560a75a01c453ab7da0e259ab","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T20:11:39.249954Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T18:56:33.898465Z","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":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"cited_work":{"arxiv_id":"2502.17450","doi":"10.48550/arxiv.2502.17450","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17450","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Studying How Configurations Impact Code Generation in LLMs : The Case of ChatGPT","venue":"ArXiv.org","work_id":"e287143b-56ed-492e-b397-6832aee7c029","year":2025},"citing_paper":{"arxiv_id":"2503.17181","last_updated":"2026-04-08T09:48:41Z","snapshot_observed_at":"2026-08-09T00:59:15.440250Z","submitted_at":"2025-03-21T14:29:35Z","title":"A Study of LLMs' Preferences for Libraries and Programming Languages","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-22T22:53:16.951417Z"},"links":{"cited_paper":"/paper/2502.17450","citing_paper":"/paper/2503.17181"},"observation_digest":"sha256:5f94eb7706ecda39092db1d58fa48b056a43fdc2c0f34991fc732b16a39bf864","observation_id":"196fddc8-265a-466d-b5a2-60794d4a4c21","resolution":{"observed_at":"2026-05-22T22:55:12.186267Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"cited_work":{"arxiv_id":"2502.17450","doi":"10.48550/arxiv.2502.17450","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17450","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Studying How Configurations Impact Code Generation in LLMs : The Case of ChatGPT","venue":"ArXiv.org","work_id":"e287143b-56ed-492e-b397-6832aee7c029","year":2025},"citing_paper":{"arxiv_id":"2509.22202","last_updated":"2026-05-19T08:31:44Z","snapshot_observed_at":"2026-08-02T09:19:07.881094Z","submitted_at":"2025-09-26T11:14:38Z","title":"Library Hallucinations in LLM-Generated Code: A Risk Analysis Grounded in Developer Queries","version":3},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-21T22:31:20.358758Z"},"links":{"cited_paper":"/paper/2502.17450","citing_paper":"/paper/2509.22202"},"observation_digest":"sha256:309e458056fa014b95f86f1243d4e63f17ca8f68811fcec8b241f5d619845a78","observation_id":"f200ecae-5df6-45ec-a267-4c7052fe9f11","resolution":{"observed_at":"2026-05-21T22:34:23.701950Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"cited_work":{"arxiv_id":"2502.17450","doi":"10.48550/arxiv.2502.17450","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17450","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Studying How Configurations Impact Code Generation in LLMs : The Case of ChatGPT","venue":"ArXiv.org","work_id":"e287143b-56ed-492e-b397-6832aee7c029","year":2025},"citing_paper":{"arxiv_id":"2511.01763","last_updated":"2026-04-12T00:08:08Z","snapshot_observed_at":"2026-07-06T22:34:48.431368Z","submitted_at":"2025-11-03T17:21:39Z","title":"Context-Guided Decompilation: A Step Towards Re-executability","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-18T01:33:54.870931Z"},"links":{"cited_paper":"/paper/2502.17450","citing_paper":"/paper/2511.01763"},"observation_digest":"sha256:d9def9b2dd19a96b9aec7e3fdeb4f3993dea801516d297d87d52da66ff50c9cc","observation_id":"8863edf8-542c-4f66-8b79-1e08a2cb68ad","resolution":{"observed_at":"2026-05-18T01:35:36.440363Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17450","snapshot_observed_at":"2026-08-04T06:49:06.377877Z","title":"arXiv:2502.17450 [cs.SE] https://arxiv.org/abs/2502.17450","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.15817","last_updated":"2026-08-03T14:58:52Z","snapshot_observed_at":"2026-08-08T06:29:32.806927Z","submitted_at":"2025-11-19T19:18:28Z","title":"A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code","version":6},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-04T06:49:06.377877Z"},"links":{"cited_paper":"/paper/2502.17450","citing_paper":"/paper/2511.15817"},"observation_digest":"sha256:8c01eb14e74031b3bae4758b78860722568320bd725c35a6ef2c47c2e6de0878","observation_id":"c0a5cddf-b0f7-4703-a5f4-187656e6e74d","resolution":{"observed_at":"2026-08-04T06:49:06.377877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"cited_work":{"arxiv_id":"2502.17450","doi":"10.48550/arxiv.2502.17450","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.17450","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Studying How Configurations Impact Code Generation in LLMs : The Case of ChatGPT","venue":"ArXiv.org","work_id":"e287143b-56ed-492e-b397-6832aee7c029","year":2025},"citing_paper":{"arxiv_id":"2604.13413","last_updated":"2026-04-15T02:31:31Z","snapshot_observed_at":"2026-07-06T23:01:23.771347Z","submitted_at":"2026-04-15T02:31:31Z","title":"Dataset-Level Metrics Attenuate Non-Determinism: A Fine-Grained Non-Determinism Evaluation in Diffusion Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T13:31:46.940449Z"},"links":{"cited_paper":"/paper/2502.17450","citing_paper":"/paper/2604.13413"},"observation_digest":"sha256:4b4abb0a241850c82d939c78c33c231457258acf9c2f1c25e0435d57a721bb89","observation_id":"4226123d-9f10-4999-90a7-17c4cfbabb76","resolution":{"observed_at":"2026-05-10T13:35:26.443083Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17450","snapshot_observed_at":"2026-07-12T20:50:53.567415Z","title":"Studying how configurations impact code gener- ation in llms: The case of chatgpt.arXiv preprint arXiv:2502.17450,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2604.13416","last_updated":"2026-07-06T05:33:02Z","snapshot_observed_at":"2026-08-02T11:35:00.658422Z","submitted_at":"2026-04-15T02:33:44Z","title":"DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-12T20:50:53.567415Z"},"links":{"cited_paper":"/paper/2502.17450","citing_paper":"/paper/2604.13416"},"observation_digest":"sha256:b747a41d587e31f549266a63f3c9e10a4c2114950e17287302a0130da23031fb","observation_id":"b0f16067-7348-4102-ae33-3b856e147c7f","resolution":{"observed_at":"2026-07-12T20:50:53.567415Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17450","snapshot_observed_at":"2026-07-12T09:44:42.646014Z","title":"Studying how configurations impact code generation in llms: The case of chatgpt,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.00107","last_updated":"2026-08-02T05:30:57Z","snapshot_observed_at":"2026-08-06T23:24:46.279176Z","submitted_at":"2026-06-30T19:48:35Z","title":"The Illusion of Safety: Multi-Tier Verification of AI vs. Human C++ Code","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-12T09:44:42.646014Z"},"links":{"cited_paper":"/paper/2502.17450","citing_paper":"/paper/2607.00107"},"observation_digest":"sha256:e533357e20d5d07245898a17cbb999ff34bfab365907e7881502dddd17894bbc","observation_id":"dfc7275f-03c9-4576-a8c0-d1a9724cf640","resolution":{"observed_at":"2026-07-12T09:44:42.646014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17450","snapshot_observed_at":"2026-08-04T04:38:08.200644Z","title":"Studying how configurations impact code generation in llms: The case of chatgpt,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.00107","last_updated":"2026-08-02T05:30:57Z","snapshot_observed_at":"2026-08-06T23:24:46.279176Z","submitted_at":"2026-06-30T19:48:35Z","title":"The Illusion of Safety: Multi-Tier Verification of AI vs. Human C++ Code","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T04:38:08.200644Z"},"links":{"cited_paper":"/paper/2502.17450","citing_paper":"/paper/2607.00107"},"observation_digest":"sha256:5624befdafa992fe0f2fc35adeeec7f02f600d525588ff4b4571c8292cb89b89","observation_id":"b037181c-4fab-43c6-9882-6746b42de7fd","resolution":{"observed_at":"2026-08-04T04:38:08.200644Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17450","snapshot_observed_at":"2026-08-07T18:56:33.898465Z","title":"Studying","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.06041","last_updated":"2026-08-06T13:52:16Z","snapshot_observed_at":"2026-08-09T23:12:48.245662Z","submitted_at":"2026-08-06T13:52:16Z","title":"LangChoiceBench: Measuring and Explaining Programming-Language Choice in LLMs","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T18:56:33.898465Z"},"links":{"cited_paper":"/paper/2502.17450","citing_paper":"/paper/2608.06041"},"observation_digest":"sha256:fc4090ac3cdd61483dc332b50fcbd9d7222aab3a1e5a2ea4b4d35c981b12a01e","observation_id":"70749ecc-f40e-4a18-bc8b-f8c3491436c7","resolution":{"observed_at":"2026-08-07T18:56:33.898465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.17450/citation-record","integrity":"/paper/2502.17450/integrity","json":"/paper/2502.17450/citation-record.json","paper":"/paper/2502.17450"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.889888Z","title":"GitHub Copilot,","venue":null,"work_id":"558288c0-b60f-4293-bdd5-82db4b781a1d","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.087832Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:678fcbec75f6f677ce07aa10b2e3a496d75f08586707c95bc397d168fe1503e3","observation_id":"d5fe2801-d5bf-4d44-a51d-71698033cd31","resolution":{"observed_at":"2026-08-08T20:11:39.895587Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.874236Z","title":"Visual Studio Code,","venue":null,"work_id":"6b15b26f-1164-46c7-bdd2-17fddd4d805e","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.102443Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:c5c33e58b31fb30fbb6078cb0312745929c74e40a68c6f6981a1876f66e4d6fa","observation_id":"33bf0a8e-2ed0-4973-9b6a-266a2108d5ba","resolution":{"observed_at":"2026-08-08T20:11:39.879151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.856978Z","title":"ChatGPT,","venue":null,"work_id":"eca8ca14-5214-4863-ad9b-8c5a0fc72cb0","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.108443Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:f9b89517ad79c18b586fe5aa6e1feadfcbf24a2897e3a3880ec1d68b636582a1","observation_id":"657c5780-e0f4-4d7c-b2da-a559e7622a4c","resolution":{"observed_at":"2026-08-08T20:11:39.862427Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.838263Z","title":null,"venue":null,"work_id":"8230c61d-5886-4f17-9fe9-9aebae9198dc","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.114328Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:86521c444d5321613a74afac45fdb20062c5612b7933b461cd00389c0dbe4ba4","observation_id":"ae2a1675-f088-49f2-baf9-54697fca2d58","resolution":{"observed_at":"2026-08-08T20:11:39.843430Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.820847Z","title":"CodeGPT,","venue":null,"work_id":"5332d7e1-5b1a-47bf-803e-63d3e341a6be","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.121034Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:fb9612a012d7c6a2691d32256ff5c7e6182a6a72ed542fa9b980c17c8371dfb3","observation_id":"366292d6-7db0-4cc3-9db9-e78832d5aa4e","resolution":{"observed_at":"2026-08-08T20:11:39.825983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.801825Z","title":"Eclips Gemini,","venue":null,"work_id":"765973a9-dd62-4653-9290-58c3bcf41591","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.126763Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:25f20a174aabb808ab0d2e6ab7c4b385620a2ffa00c05698fb2507b99cd1790a","observation_id":"88bad5a4-395a-456b-b388-3eaab8fff887","resolution":{"observed_at":"2026-08-08T20:11:39.807775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.780216Z","title":"Generating Java Methods: An Empirical Assessment of Four AI-Based Code Assistants,","venue":null,"work_id":"975ab15a-1403-4d18-9f48-8463586171f6","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.132637Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:2c985d92be4d6b58b297896dd24d31777cd5c2a849b53bdc05262d4221c5ff63","observation_id":"c3ebc37e-3f80-4234-a68f-b601774e4d28","resolution":{"observed_at":"2026-08-08T20:11:39.787303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.759937Z","title":"Developer Experiences with a Contextualized AI Coding Assistant: Usability, Expectations, and Outcomes,","venue":null,"work_id":"1528c64b-5b6f-4c34-b13c-f37eda429974","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.139231Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:e564a3bf36d9b62036f4ff01689c8f0d513224b4388188168d972c2e7f923ddf","observation_id":"eb50d517-f6dd-4b67-9930-4e4cb69e9b1a","resolution":{"observed_at":"2026-08-08T20:11:39.765775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.739730Z","title":"A large-scale survey on the usability of ai programming assistants: Successes and challenges,","venue":null,"work_id":"176f80e1-d8d8-45f8-84d9-7f692e92fbf7","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.148619Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:31299210bf933fdddac753c49e3bbffb3f57a9ded65892ca0cfe12adeb4830a6","observation_id":"28420850-ed1e-4156-82cf-615d8f56248d","resolution":{"observed_at":"2026-08-08T20:11:39.746438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.713789Z","title":"Unveiling ChatGPT’s Usage in Open Source Projects: A Mining-based Study,","venue":null,"work_id":"901d3866-c801-44a9-9438-ccdef7450300","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.154867Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:1b252b1d0511fc380e84fa01f08f81df4e8bb9c8d49ce158b400e7726babfe0b","observation_id":"5a4c406d-cddd-4ad9-a55e-5fc19b940ec9","resolution":{"observed_at":"2026-08-08T20:11:39.721411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.689392Z","title":"Extending the frontier of ChatGPT: Code generation and debugging,","venue":null,"work_id":"fdbc74ee-893b-48bb-afef-15f95f936e42","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.161172Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:4949e9a21e8f3c21d37dec7585a36f4cbb6b598a9a7457f123708b97c0794fd4","observation_id":"a97093a6-da08-4f62-a8ac-3e016aef588b","resolution":{"observed_at":"2026-08-08T20:11:39.698104Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.668990Z","title":"Quality Assessment of ChatGPT Generated Code and their Use by Developers,","venue":null,"work_id":"08d6f1f0-1ef8-40fc-ac04-a5cd8c670c69","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.167256Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:7175b3e8279bd88128ee00c14f4fa00aa9a1596054d8734391d6fd20e588876b","observation_id":"3066af6e-6ddf-468b-9078-89f578d321f1","resolution":{"observed_at":"2026-08-08T20:11:39.674985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.647205Z","title":"Self-Collaboration Code Gener- ation via ChatGPT,","venue":null,"work_id":"4078bc36-8fd8-4607-9c46-cf59a60a55f7","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.173844Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:fcdb2b2ba333e8be088d55ad71ef5cfaee00dae43e8917e6f9bab7311b714ef1","observation_id":"50f6817e-502a-4989-bfa7-48976f931482","resolution":{"observed_at":"2026-08-08T20:11:39.654009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.625715Z","title":"Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues,","venue":null,"work_id":"66592e29-774e-4a3d-9c64-63cade6b2c34","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.179332Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:719b8becc7ec71e285ae1da3dbd299fa01b1abb12726844f9a0de2e3132474fe","observation_id":"fe8e3c3b-c728-453c-827d-bc8541ed38d2","resolution":{"observed_at":"2026-08-08T20:11:39.632718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.10577","last_updated":"2024-08-20T06:32:57Z","snapshot_observed_at":"2026-08-08T18:42:45.845713Z","submitted_at":"2024-08-20T06:32:57Z","title":"Optimizing Large Language Model Hyperparameters for Code Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.10577","snapshot_observed_at":"2026-08-08T20:11:39.185448Z","title":"Optimizing Large Language Model Hyperparameters for Code Generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.185448Z"},"links":{"cited_paper":"/paper/2408.10577","citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:6d09803b531c7fe6c7a80eb0f5394d0b2a48acaddfbf6dff6c6e78bf1d9a1a11","observation_id":"2783886c-ad60-4cac-8d7f-32f5108eaad9","resolution":{"observed_at":"2026-08-08T20:11:39.185448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.191448Z","title":"Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.191448Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:4d32d784cf9e00ed394a7742ac880705dc4b67938cfb9fe19555a4a91107c574","observation_id":"06078548-2a47-4c01-bedb-773b1e205877","resolution":{"observed_at":"2026-08-08T20:11:39.191448Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.593239Z","title":"An Empirical Study of the Non-determinism of ChatGPT in Code Generation,","venue":null,"work_id":"8b7107ce-4f8c-4531-9686-228eace1a67f","year":2023},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.196599Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:158807380eabeec01ddcd2c8ac0cdc39f612bd01c62ebe1a9dacc508eba9866a","observation_id":"94d5d1da-7480-4d63-8332-4ea0135542d4","resolution":{"observed_at":"2026-08-08T20:11:39.599634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"statistics/1483838","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.454847Z","title":"Most used AI search and developer tools among developers worldwide 2024,","venue":null,"work_id":"ddbc15f9-9610-4bca-aed3-8323c256c62a","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.201856Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:e944422d5b74f12313b7e25779e6a14b616f1a8660a7a3f367b8f0cac640a429","observation_id":"13ab9311-6275-42c9-aee8-52cc4d3baaf3","resolution":{"observed_at":"2026-08-08T20:11:39.464165Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.575155Z","title":"The Curious Case of Neural TExt Degeneration,","venue":null,"work_id":"281d8f24-7bab-4ab3-a447-92f13bd1d73f","year":2020},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.208552Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:28130b27e973b8a0f2ca585572439c7e2e62e3caf252dc2046e11b9672d5c183","observation_id":"8d02904c-9c5b-4ce1-aaae-b770cbdaf19a","resolution":{"observed_at":"2026-08-08T20:11:39.580380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05715","last_updated":"2024-08-11T07:53:51Z","snapshot_observed_at":"2026-07-06T18:59:16.978029Z","submitted_at":"2024-08-11T07:53:51Z","title":"Top Pass: Improve Code Generation by Pass@k-Maximized Code Ranking","version":1},"cited_work":{"arxiv_id":"2408.05715","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.05715","snapshot_observed_at":"2026-08-08T20:11:39.338098Z","title":"Top Pass: Improve Code Generation by Pass@k-Maximized Code Ranking","venue":"cs.AI","work_id":"0799261f-c14c-4879-ad6e-5e796e20feb1","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.215550Z"},"links":{"cited_paper":"/paper/2408.05715","citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:f51f2d20a405a97491f37092fecf4c5ff718e6da3499e703913b9f643ede9bd6","observation_id":"8dfdf977-58d9-4c06-9e17-9983ba25cf90","resolution":{"observed_at":"2026-08-08T20:11:39.347286Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16498","last_updated":"2025-03-04T09:13:23Z","snapshot_observed_at":"2026-08-09T17:22:51.227375Z","submitted_at":"2024-08-29T12:56:06Z","title":"A Survey on Evaluating Large Language Models in Code Generation Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.16498","snapshot_observed_at":"2026-08-08T20:11:39.222174Z","title":"A Survey on Evaluating Large Language Models in Code Generation Tasks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.222174Z"},"links":{"cited_paper":"/paper/2408.16498","citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:9ca4887a9a231d4f655fef51fba4d52f472bffdca2efa1df440348ea2e1e199f","observation_id":"94b8ebf9-25eb-439e-9076-b4ba834b1306","resolution":{"observed_at":"2026-08-08T20:11:39.222174Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00515","last_updated":"2024-11-10T22:02:27Z","snapshot_observed_at":"2026-07-29T20:40:25.374189Z","submitted_at":"2024-06-01T17:48:15Z","title":"A Survey on Large Language Models for Code Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.00515","snapshot_observed_at":"2026-08-08T20:11:39.228004Z","title":"A Survey on Large Language Models for Code Generation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.228004Z"},"links":{"cited_paper":"/paper/2406.00515","citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:754a4b81bbbf48264b3bcb25c7b05f6e5e1c4172d3987e1ec50743fb540e58e8","observation_id":"c2db2388-0c37-4ea9-8384-5ccc68571de2","resolution":{"observed_at":"2026-08-08T20:11:39.228004Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.553714Z","title":"Analyzing Prompt Influence on Automated Method Generation: An Empirical Study with Copilot,","venue":null,"work_id":"1b4318dd-49e3-48ed-b3cb-dd6cc682ec14","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.233936Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:c3fd10339ecb17297d964bc9ab80f547fedfa4f85a868aaa6312cb4544303104","observation_id":"fc0bcaf8-501a-444a-90d5-9ed9e1255b41","resolution":{"observed_at":"2026-08-08T20:11:39.559125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.536052Z","title":"Using AI-based coding assistants in practice: State of affairs, perceptions, and ways forward,","venue":null,"work_id":"ed0ba295-ed5a-44aa-9d25-d70d64a44679","year":2025},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.239117Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:8dd89141a32cf2f280e61491b9fd45df7e69fc5c24c9cd16fe9f3424c26fca7e","observation_id":"f206a61d-1534-421d-9b2a-cee07523703a","resolution":{"observed_at":"2026-08-08T20:11:39.542164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.519174Z","title":"Can LLMs Facilitate Onboarding Software Developers? An Ongoing Industrial Case Study,","venue":null,"work_id":"756c79df-6b34-4d3d-a07c-6efb90d29481","year":2024},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.244809Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:8705930caad397b4666f0eb48ccfc038793b797519ba9eb3e1409df3a0cf3bdb","observation_id":"f4f7b24f-5485-43f4-a498-1520d722f53e","resolution":{"observed_at":"2026-08-08T20:11:39.524494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T20:11:39.499710Z","title":"Large Language Models for Software Engineer- ing: Survey and Open Problems,","venue":null,"work_id":"c42485d7-c2ae-4307-9e41-a54a1c1ef749","year":2023},"citing_paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T20:11:39.249954Z"},"links":{"citing_paper":"/paper/2502.17450"},"observation_digest":"sha256:a406ee2423441f31aa0805a0d500086dceed617c095830a372c04dc0f2b95f8f","observation_id":"029d6525-07b5-4f40-8ec0-9f0e0e4d422f","resolution":{"observed_at":"2026-08-08T20:11:39.505286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.17450","last_updated":"2025-02-07T18:04:14Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-09T17:23:22.750751Z","submitted_at":"2025-02-07T18:04:14Z","title":"Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":2,"verified_fuzzy":19},"total_outbound_references":26},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 9 inbound Pith citation observations for arXiv:2502.17450."}