{"as_of":"2026-08-20T02:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d8caa1af8eda1d3e46aa9ada1b1df0d58e87d363790e9bee9448a4dbd6c9bc46","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T23:10:06.612769Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.02789/citation-record","integrity":"/paper/2412.02789/integrity","json":"/paper/2412.02789/citation-record.json","paper":"/paper/2412.02789"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:06.239783Z","title":"Software inspec- tions: an effective verification process,","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.239783Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:0088b049427920ac99a34379eb402a4efc73f5df94b446da6b32fe255673eb6a","observation_id":"5ffa1e74-bbda-4740-b2a2-7e41de9aa810","resolution":{"observed_at":"2026-08-11T23:10:06.239783Z","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":"2026-08-11T23:10:06.248313Z","title":"Software inspections and the industrial production of software,","venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.248313Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:5cd689b5d0b4111c60a1ae8adb16d1ad628d5cef5ab68542300dfe03de195b8b","observation_id":"fd1580a5-6c64-47fb-a407-ab3dd4ec0972","resolution":{"observed_at":"2026-08-11T23:10:06.248313Z","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":"2026-08-11T23:10:06.258009Z","title":"Modern code review: a case study at google,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.258009Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:edcc48cdfe26b79ef71c42265c622a51aaf01ece9d19da034cbb058a3dd793a2","observation_id":"b6e5a6d5-056a-452a-85b6-01e8d2ce33e0","resolution":{"observed_at":"2026-08-11T23:10:06.258009Z","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":"2026-08-11T23:10:06.266424Z","title":"An empirical study of the impact of modern code review practices on software quality,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.266424Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:b65189e192031fb8265dd73f93bfdf7bce88e300fe3c69865f9d1d8060a3f67c","observation_id":"02722ffb-86b8-4c4a-83cb-d5cab4ec0493","resolution":{"observed_at":"2026-08-11T23:10:06.266424Z","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":"2026-08-11T23:10:06.273537Z","title":"Exploring the potential of chatgpt in automated code refinement: An empirical study,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.273537Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:8ba3617a08a32030eade5dcb97a62d82df61ee8dcf5ba2df98296683bd4480d2","observation_id":"4cb3f663-5dd6-4a7c-ae8a-f52f3a9c7159","resolution":{"observed_at":"2026-08-11T23:10:06.273537Z","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":"2026-08-11T23:10:06.280914Z","title":"Code review quality: How developers see it,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.280914Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:af652f2a4ec4ced2f2fdb28478f23de2ed4c4ee07bbde0e12e2d1d81058f77b0","observation_id":"5b63b0e2-8963-4260-a140-5c5850d5aa07","resolution":{"observed_at":"2026-08-11T23:10:06.280914Z","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":"2026-08-11T23:10:07.850148Z","title":"Using pre-trained models to boost code review automa- tion,","venue":null,"work_id":"79707286-ac77-4ad2-833a-42d74ef4fa8a","year":2022},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.288949Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:cd89417d3af6d1e16542995a8858b3f844e6e68b9c6d0dd80863039285e65448","observation_id":"f181b8ee-f523-4425-ac52-5ea9a3a8c1a5","resolution":{"observed_at":"2026-08-11T23:10:07.857186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:06.296466Z","title":"Expectations, outcomes, and challenges of modern code review,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.296466Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:9571f73a6a929202aeca999a83129f7ede81c5765bf22d0eaaf4923325623926","observation_id":"4f4e9197-abeb-4de4-89f1-7c96ef7af275","resolution":{"observed_at":"2026-08-11T23:10:06.296466Z","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":"2026-08-11T23:10:06.303619Z","title":"Convergent contemporary software peer review practices,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.303619Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:623186daa6c63b34803dff0cd0952ecb04583baf8541e1ab13f1cd5b2deb0e71","observation_id":"05fca2a3-00b2-4219-a422-358be9ca3c87","resolution":{"observed_at":"2026-08-11T23:10:06.303619Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.07867","last_updated":"2024-04-26T16:41:55Z","snapshot_observed_at":"2026-08-16T15:55:05.167686Z","submitted_at":"2023-02-15T18:59:21Z","title":"Learning Performance-Improving Code Edits","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.07867","snapshot_observed_at":"2026-08-11T23:10:06.309993Z","title":"Learning performance-improving code edits,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.309993Z"},"links":{"cited_paper":"/paper/2302.07867","citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:cd80773456a4929a95367b763e90fe6e5a3e576757dbe307d8bd27a58b1e7eab","observation_id":"d7521bc7-e322-4691-8554-366e9acc5149","resolution":{"observed_at":"2026-08-11T23:10:06.309993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.07215","last_updated":"2024-02-23T06:56:16Z","snapshot_observed_at":"2026-08-16T14:43:50.924882Z","submitted_at":"2023-11-13T10:15:19Z","title":"Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.07215","snapshot_observed_at":"2026-08-11T23:10:06.316817Z","title":"Coffee: Boost your code llms by fixing bugs with feedback,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.316817Z"},"links":{"cited_paper":"/paper/2311.07215","citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:3467131479ec131336abffc0754a19226e76785314aba10fcbdefe3597c7407e","observation_id":"b0bd6f3d-6622-401c-8c27-017072c8b63e","resolution":{"observed_at":"2026-08-11T23:10:06.316817Z","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":"2026-08-11T23:10:07.794079Z","title":"Codeeditor: Learning to edit source code with pre-trained models,","venue":null,"work_id":"4f5b2e71-8695-4218-b262-8c21b4debfc3","year":2023},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.324722Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:f4103f365a8c163373dd43238762e91b2e9b283c934a761b5f5ecd665be45f10","observation_id":"86da4703-13cc-4625-aa18-295195481f63","resolution":{"observed_at":"2026-08-11T23:10:07.808128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:06.331668Z","title":"Llama-reviewer: Advancing code review automation with large language models through parameter- efficient fine-tuning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.331668Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:0ffc4eb7a1e6935f6ddf29be250a233ce198229c22ac89dbe5bc6ed1587540f4","observation_id":"37a156b4-54da-47ec-8f9c-e5d19e6bc75a","resolution":{"observed_at":"2026-08-11T23:10:06.331668Z","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":"2026-08-11T23:10:06.338295Z","title":"Automating code review activities by large-scale pre-training,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.338295Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:9abcb8451161d29237492158dcc1adc2cd9e15040590a0ec9531abf9e047b083","observation_id":"a57032a8-26d4-4913-a3c5-af98105d3303","resolution":{"observed_at":"2026-08-11T23:10:06.338295Z","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":"2026-08-11T23:10:07.739084Z","title":"An empir- ical study on code comment completion,","venue":null,"work_id":"4ac67e37-a2be-4a34-a24a-0b3508380c98","year":2021},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.344675Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:acdc3e8539415fa5daf68934359571368edddc151b9bdb4a3d6a5faa75fbb210","observation_id":"7bf04a7a-204b-4b3a-8387-b0f2fb7bfdfc","resolution":{"observed_at":"2026-08-11T23:10:07.744872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:06.352500Z","title":"Large language models are few-shot summarizers: Multi-intent comment generation via in-context learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.352500Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:0c42ff664d22b6c0479aa4ee6a42a66ae879eab0c6a7ed64b27ccc1905fa0715","observation_id":"3df9de12-5173-4924-8939-26442a35923f","resolution":{"observed_at":"2026-08-11T23:10:06.352500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.09095","last_updated":"2022-10-11T07:51:41Z","snapshot_observed_at":"2026-08-16T17:13:53.562371Z","submitted_at":"2022-03-17T05:40:13Z","title":"Automating Code Review Activities by Large-Scale Pre-training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.09095","snapshot_observed_at":"2026-08-11T23:10:06.359380Z","title":"Codereviewer: Pre-training for automating code review activities,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.359380Z"},"links":{"cited_paper":"/paper/2203.09095","citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:a5c7be98277703af0a71e0e59b31c65d45f01cafa07abf51b05f5c6666e0d1ae","observation_id":"0915c97a-ccbc-451d-a16d-74001d682291","resolution":{"observed_at":"2026-08-11T23:10:06.359380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.10620","last_updated":"2024-04-10T08:41:22Z","snapshot_observed_at":"2026-08-18T12:11:19.164077Z","submitted_at":"2023-08-21T10:37:49Z","title":"Large Language Models for Software Engineering: A Systematic Literature Review","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.10620","snapshot_observed_at":"2026-08-11T23:10:06.368198Z","title":"Large language models for software engineer- ing: A systematic literature review,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.368198Z"},"links":{"cited_paper":"/paper/2308.10620","citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:2301ddc2c7892a0b45a366fa3708201b7b266e46aaabb816528b543b77483356","observation_id":"7b3a8f28-7c37-4f98-b29c-a7e055fb928b","resolution":{"observed_at":"2026-08-11T23:10:06.368198Z","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":"2026-08-11T23:10:06.374229Z","title":"A survey on large language models: Applications, challenges, limitations, and practical usage,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.374229Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:f8c040b48a800f84a1cdc29b9db3e67dc098c4a7618d7d2e41d2217eb548b189","observation_id":"66448a5b-d4a1-4a89-9d00-37b68cfdd5ed","resolution":{"observed_at":"2026-08-11T23:10:06.374229Z","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":"2026-08-11T23:10:07.674941Z","title":"Breaking the silence: the threats of using llms in software engineering,","venue":null,"work_id":"aed0629c-bd65-4f3b-b0f0-1eaa3c7a694e","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.379744Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:038c97c900b1c80391a9f137c01a61a01325a68a541d0a7ea2a29bfcdbba956f","observation_id":"8792e829-a3cb-4a75-b84e-e82e34344be3","resolution":{"observed_at":"2026-08-11T23:10:07.681302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:07.652786Z","title":"Open-source ai is the path forward,","venue":null,"work_id":"3bbeec2d-3703-462f-9634-c2ff80011a74","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.389704Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:8db02ad28c47f4d26a5d1608e85f2c1926e54c77cfcc9a8885bcee3d59dda76f","observation_id":"d7b5f8f3-b52a-4c8b-a79f-d7fc079aff43","resolution":{"observed_at":"2026-08-11T23:10:07.660475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-11T23:10:06.397014Z","title":"Llama 2: Open foundation and fine-tuned chat models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.397014Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:b05d51a0e5548e22f887944ee63af8a84dddd7692e8f2587632b77e4d6f70b45","observation_id":"85870e74-9eb6-4ac9-93d1-463d8746695b","resolution":{"observed_at":"2026-08-11T23:10:06.397014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12950","last_updated":"2024-01-31T19:47:26Z","snapshot_observed_at":"2026-08-18T03:59:39.242039Z","submitted_at":"2023-08-24T17:39:13Z","title":"Code Llama: Open Foundation Models for Code","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12950","snapshot_observed_at":"2026-08-11T23:10:06.404648Z","title":"Code llama: Open foundation models for code,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.404648Z"},"links":{"cited_paper":"/paper/2308.12950","citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:3174840298c8e07631da8aa2efd7b33592c853b3a624d8b3a71778156ebbe568","observation_id":"4efe9efb-d650-4775-9077-08a028bdbfa8","resolution":{"observed_at":"2026-08-11T23:10:06.404648Z","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":"2026-08-11T23:10:07.632186Z","title":"[Online]","venue":null,"work_id":"7bd75d0c-d352-446e-a5c5-284962570d37","year":null},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.411131Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:aef520ccbf086814f0f99366ef2af33b1814263e9b3f135dfb56a7349a22520c","observation_id":"6937a39e-71c5-4535-bb75-f160f4050093","resolution":{"observed_at":"2026-08-11T23:10:07.637842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:06.416987Z","title":"Exploring the limits of transfer learning with a unified text-to-text transformer,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.416987Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:c0f0ea3b23c96d85c554002ee3313561e86479f7881039f38094d0d1e3379824","observation_id":"be4856be-8e70-453f-b35e-aef04bc0345e","resolution":{"observed_at":"2026-08-11T23:10:06.416987Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.00859","last_updated":"2021-09-02T12:21:06Z","snapshot_observed_at":"2026-08-15T23:44:55.691307Z","submitted_at":"2021-09-02T12:21:06Z","title":"CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.00859","snapshot_observed_at":"2026-08-11T23:10:06.424732Z","title":"Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.424732Z"},"links":{"cited_paper":"/paper/2109.00859","citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:6cb83c768e79fa441a43aeaa4302b5a9335701eefbac045c8032cdc20b3590e3","observation_id":"61e3a6f9-2a80-427d-ac4d-5880b5cfd27a","resolution":{"observed_at":"2026-08-11T23:10:06.424732Z","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":"2026-08-11T23:10:07.591415Z","title":"Llama by meta - open-source ai models,","venue":null,"work_id":"741c435c-fd91-4316-b475-e39d4ee5a64d","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.431438Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:fb2adbf2a765825a30010108a34dd4a99cbe89327157b265b96eea4bcb83e495","observation_id":"1aba404e-5a9e-4268-a39d-3ceb2a71868c","resolution":{"observed_at":"2026-08-11T23:10:07.601097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:07.559122Z","title":"Code llama: A large language model for coding,","venue":null,"work_id":"9a215a4b-01a9-467a-b227-10c5ec091914","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.440060Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:d778dc95fe7196f53bfe41e8dc9840559388c40743c413f5c68ef8101313ca0b","observation_id":"dc695ccb-94a1-4b11-97c5-d00c7a932960","resolution":{"observed_at":"2026-08-11T23:10:07.569143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:07.528333Z","title":"Chatgpt code review - overview,","venue":null,"work_id":"35a0bd32-40c8-45b5-9be1-3e66501f3385","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.447287Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:4126341f11f783adfa69a28f1f2f4dc1fadb5579d25f3be3c0a62ac9d0021a2b","observation_id":"21cedaad-5eef-4530-8298-2dfb158103d1","resolution":{"observed_at":"2026-08-11T23:10:07.535504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:07.507068Z","title":"Prompt engineering with llama 2,","venue":null,"work_id":"224ab6a4-f845-471f-8462-179cdd03366d","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.454143Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:f6a47160b5d3aff721f03e8dca70bff3dfdf43856af15ea1d9c62b8c54b7e899","observation_id":"dceed3fb-e222-478d-9e60-3099f120d503","resolution":{"observed_at":"2026-08-11T23:10:07.514382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:07.482534Z","title":"Exact match metric on hugging face,","venue":null,"work_id":"7aa30228-c2d9-4d51-b2ea-8868a367547b","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.460676Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:cd5a973d8040dcdb88779a71480a51f2e0112c0741683107a8e03af8dc9fb38d","observation_id":"b2f6bf62-22d1-4df2-9ff0-6fe1c04c3153","resolution":{"observed_at":"2026-08-11T23:10:07.489211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:06.466586Z","title":"Towards automating code review activities,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.466586Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:c4d93d9fcc28707c3b035421abdcc205d76096e669b4c54f5bd0b3c5c3f8d43e","observation_id":"b215927a-14d7-41f8-8944-2f1c66387b25","resolution":{"observed_at":"2026-08-11T23:10:06.466586Z","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":"2026-08-11T23:10:06.472951Z","title":"Bleu: a method for automatic evaluation of machine translation,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.472951Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:3e04f0debe3a2542118104012722c6f20683771ca61fcf780036e98412b485c5","observation_id":"fa79e204-5b65-41a5-9496-d2b2eef1276f","resolution":{"observed_at":"2026-08-11T23:10:06.472951Z","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":"2026-08-11T23:10:06.479699Z","title":"On a test of whether one of two random variables is stochastically larger than the other,","venue":null,"work_id":null,"year":1947},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.479699Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:769bebf5806361941ca91de9f72a5b05fb884db9b977e8582f4e59f45f991b00","observation_id":"918369c7-b975-4442-a36c-841e99fa7ff0","resolution":{"observed_at":"2026-08-11T23:10:06.479699Z","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":"2026-08-11T23:10:07.399444Z","title":"Ollama - ai models made simple,","venue":null,"work_id":"b32736b7-e61a-47c8-afac-18bd499746d2","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.486986Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:d6844e47aaf5f3661538ac5bb127aa27f71f157f6d87ac364627cac89b296147","observation_id":"c505d7fd-d256-4bff-b29f-0396d37e2c98","resolution":{"observed_at":"2026-08-11T23:10:07.407532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:07.374532Z","title":"Gguf format documentation,","venue":null,"work_id":"c9df7ace-04a2-4475-8053-1140710e5630","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.492801Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:dcc98c3c90eec56da6a27f32f0535b7781980a4a766f0b94ee4f2dcadf7a6d9d","observation_id":"cb4f944c-fafa-4ca7-a37a-f54297c58727","resolution":{"observed_at":"2026-08-11T23:10:07.380034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:07.351461Z","title":"Prompt engineerin guide,","venue":null,"work_id":"8edaf318-f758-4b17-893c-b534f52be3af","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.499287Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:c7cc65efe2e781ea58fa2db7ca9faf7ea2c11581122915c89442220efde537b2","observation_id":"21ffd174-1ce1-4e4f-8f08-91ddefa516f1","resolution":{"observed_at":"2026-08-11T23:10:07.358173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.14423","last_updated":"2024-05-05T00:54:26Z","snapshot_observed_at":"2026-08-19T13:14:11.381268Z","submitted_at":"2024-01-24T06:20:18Z","title":"Prompt Design and Engineering: Introduction and Advanced Methods","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.14423","snapshot_observed_at":"2026-08-11T23:10:06.504901Z","title":"Prompt design and engineering: Introduction and ad- vanced methods,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.504901Z"},"links":{"cited_paper":"/paper/2401.14423","citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:2173fa6365266a479027413c4585840552e776f5b9493bfeb583b55626427d15","observation_id":"c2dc9b71-ad22-44de-9d44-262a6e7372cd","resolution":{"observed_at":"2026-08-11T23:10:06.504901Z","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":"2026-08-11T23:10:07.328057Z","title":"Introducing meta llama 3: The most capable openly available llm to date,","venue":null,"work_id":"5f9fcd1f-22e7-48da-8475-e65a66cfee6b","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.510258Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:e8b355e4c4b7f01cc76bd2a4b0ab3499e6e302eb2893f1c7caf4f0897db8833d","observation_id":"b242d5cf-4e26-446e-a5c4-2271b25be4cb","resolution":{"observed_at":"2026-08-11T23:10:07.335859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:07.296330Z","title":"Introducing llama 3.1: Advancing open-source large lan- guage models,","venue":null,"work_id":"ceeba153-0eb7-417e-891d-b0aaa62e9822","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.515470Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:bb47322368222af13753829c570dc9f36a733a8e3f92ba95723084c2304aa738","observation_id":"562361cf-3e8d-4361-9e8f-42ecc2ecdf9f","resolution":{"observed_at":"2026-08-11T23:10:07.306345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:07.263184Z","title":"Model cards and prompt formats for llama models,","venue":null,"work_id":"556a950f-253c-4d09-b9c3-fdffb7c13207","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.522346Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:828a0cc0765ea14b288c1a7c799c94c2f9a81a5299cbe6885621f1b5e2cdb57e","observation_id":"988ec7f7-3503-4a6a-b6d8-40f9d1dbb256","resolution":{"observed_at":"2026-08-11T23:10:07.270898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:07.240681Z","title":"Llama 3.1: Model cards and prompt formats,","venue":null,"work_id":"fae200df-c222-485b-baa3-25d867506768","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.528022Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:14b8bf11c9e7c126e9497ee22df5b874dbccb37bdbdd01fb4cc755548f5ed28f","observation_id":"b8435c84-3195-41c1-8ed5-0445c98d9bbc","resolution":{"observed_at":"2026-08-11T23:10:07.248278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:07.208368Z","title":"Lost in translation: A study of bugs introduced by large language models while translating code,","venue":null,"work_id":"c3989fb5-4361-4116-a109-73678e8b1e16","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.533587Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:363b08570c6fa86b7f2ba41495935e19bf9a8c22fe2bb0f5f0b7d55dcc8ed0a9","observation_id":"ba043964-89d5-4936-b7de-8d3bf83a2322","resolution":{"observed_at":"2026-08-11T23:10:07.220119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:07.176706Z","title":"Fine-tuning and prompt engineering for large language models-based code review automation,","venue":null,"work_id":"cab0fd69-5d4c-444f-987a-0dfcc087b611","year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.541225Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:e6204432f5a59f4ff1b4fc47814079710e534eb66ce42472b95a8aaea3de4091","observation_id":"a6a109ba-c8f6-4280-af48-1d46c7dbd484","resolution":{"observed_at":"2026-08-11T23:10:07.186914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-11T23:10:06.547955Z","title":"Language models are few-shot learners,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.547955Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:7ea6adf66bc303e793398e08c21cc3f65c8bdf73d5bc32c94098bb5234b47e2d","observation_id":"2ddef5cb-0651-4eb3-8b54-6cb63d9155ac","resolution":{"observed_at":"2026-08-11T23:10:06.547955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2109.01652","last_updated":"2022-02-08T20:26:45Z","snapshot_observed_at":"2026-08-14T06:11:14.515796Z","submitted_at":"2021-09-03T17:55:52Z","title":"Finetuned Language Models Are Zero-Shot Learners","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.01652","snapshot_observed_at":"2026-08-11T23:10:06.554525Z","title":"Finetuned language models are zero-shot learners,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.554525Z"},"links":{"cited_paper":"/paper/2109.01652","citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:96ed2f687ea911f89c1397e31a1d6139b29f3e1ce25b8ffa497ca82a51f7f169","observation_id":"ff7c2552-33f0-498b-a94c-a6815453ae98","resolution":{"observed_at":"2026-08-11T23:10:06.554525Z","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":"2026-08-11T23:10:07.148778Z","title":"Self-planning code generation with large language models,","venue":null,"work_id":"133196ba-df56-40d6-a7ff-3575e7f63952","year":2023},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.565178Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:04330ac6eeadc6b47cac7eae8ccca5f50682a8fc78a19c154838064cc85fbf12","observation_id":"d7fd630d-8576-4c5f-88f5-fd64804e0bf5","resolution":{"observed_at":"2026-08-11T23:10:07.157525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T23:10:06.571916Z","title":"Chain-of-thought prompting elicits reasoning in large language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.571916Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:d0080e0a8f650791f1efc49a55b52a5beb13bbc4a176667950223e72f8bd548d","observation_id":"fe264c9e-35e3-4bcd-a56f-45c3b3316fe4","resolution":{"observed_at":"2026-08-11T23:10:06.571916Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.04474","last_updated":"2024-07-29T20:21:37Z","snapshot_observed_at":"2026-08-18T18:14:12.664322Z","submitted_at":"2023-12-07T17:51:43Z","title":"Chain of Code: Reasoning with a Language Model-Augmented Code Emulator","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.04474","snapshot_observed_at":"2026-08-11T23:10:06.577529Z","title":"Chain of code: Reason- ing with a language model-augmented code emulator,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.577529Z"},"links":{"cited_paper":"/paper/2312.04474","citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:c9ec76ac65270c90a845deab94c42e241112e362c12731c3373f536b712d4c57","observation_id":"349a86ca-28b5-4134-83de-117703837681","resolution":{"observed_at":"2026-08-11T23:10:06.577529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.15960","last_updated":"2025-03-30T09:32:03Z","snapshot_observed_at":"2026-08-16T14:31:37.898224Z","submitted_at":"2023-12-26T08:49:57Z","title":"MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.15960","snapshot_observed_at":"2026-08-11T23:10:06.584637Z","title":"Motcoder: Elevating large language models with modular of thought for challenging programming tasks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.584637Z"},"links":{"cited_paper":"/paper/2312.15960","citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:a0b1dd23ca17a6b816645c7d07a51ffb7b65b44dd1574419b88580f2de42ca92","observation_id":"9fa0bf3c-9123-4e5d-aef1-0c6acf764adc","resolution":{"observed_at":"2026-08-11T23:10:06.584637Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06599","last_updated":"2023-09-07T11:39:07Z","snapshot_observed_at":"2026-08-16T15:33:57.958325Z","submitted_at":"2023-05-11T06:43:37Z","title":"Structured Chain-of-Thought Prompting for Code Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.06599","snapshot_observed_at":"2026-08-11T23:10:06.590582Z","title":"Structured chain-of-thought prompting for code generation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.590582Z"},"links":{"cited_paper":"/paper/2305.06599","citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:22117db53503932e63fb36be4e76df724a3577af2e826696d0422788255e332f","observation_id":"a33438b7-587e-49d9-bac5-d3f42d5dc875","resolution":{"observed_at":"2026-08-11T23:10:06.590582Z","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":"2026-08-11T23:10:06.597394Z","title":"Auger: automatically generating review comments with pre-training models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.597394Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:ec0acd669c02250de45743ce5140ade403a00f26de5f5bfebfaf53a90de2a138","observation_id":"dea4507a-e260-447a-b211-1ae91e72ee4c","resolution":{"observed_at":"2026-08-11T23:10:06.597394Z","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":"2026-08-11T23:10:06.603889Z","title":"Code review automation: strengths and weaknesses of the state of the art,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.603889Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:524df00025983840f9f0a83925634304967b018138fee7a12cfa5ed8a57db8f5","observation_id":"01be8b0a-7cfa-4f7e-987e-34e9ab0bc20e","resolution":{"observed_at":"2026-08-11T23:10:06.603889Z","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":"2026-08-11T23:10:06.612769Z","title":"Autotrans- form: Automated code transformation to support modern code review process,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T23:10:06.612769Z"},"links":{"citing_paper":"/paper/2412.02789"},"observation_digest":"sha256:71aedd5a9f5e644e36cdb09310a4b3ac5439174aaab5e05063f4f26ef17492aa","observation_id":"fc057d85-9d78-4113-be6f-0d0c82f78bce","resolution":{"observed_at":"2026-08-11T23:10:06.612769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.02789","last_updated":"2024-12-03T19:39:31Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-18T12:13:32.033189Z","submitted_at":"2024-12-03T19:39:31Z","title":"Exploring the Potential of Llama Models in Automated Code Refinement: A Replication Study"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":33,"verified_exact":0,"verified_fuzzy":21},"total_outbound_references":54},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2412.02789."}