{"as_of":"2026-08-22T02:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:422f08190102804d58a7693b2925bae5a43ddaaa89a234fe6119f85d0761c836","coverage":[{"denominator":91,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":91,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T06:11:19.708025Z","state":"measured"},{"denominator":91,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":91,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2607.21997/citation-record","integrity":"/paper/2607.21997/integrity","json":"/paper/2607.21997/citation-record.json","paper":"/paper/2607.21997"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T06:11:09.227568Z","title":"Au- totransform: Automated code transformation to support modern code review process,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:09.227568Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:cf6724e664cf7a1abae83fff4c3b29688f7966682a9666c73b6f42c2366f3850","observation_id":"dfbc7953-5033-4be3-a0eb-7b81e99a29d5","resolution":{"observed_at":"2026-08-01T06:11:09.227568Z","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":"2026-08-01T06:11:09.284978Z","title":"What types of code review comments do developers most frequently resolve?","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:09.284978Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:edbc0b42cb9a4c7eafec060fb4ea8fe00fcda77873abb9d65175c6c07d5b2efe","observation_id":"7c183ced-56bc-4a50-80da-f2f8a0aa8ad0","resolution":{"observed_at":"2026-08-01T06:11:09.284978Z","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":"2026-08-01T06:11:09.376075Z","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":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:09.376075Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:84b4437d79eaa429d71315b0b1225e68ca174463a1e4f2a36f1d55f2a15e69a3","observation_id":"f5ccb66b-3309-4e3c-abab-7c9c9b32f57e","resolution":{"observed_at":"2026-08-01T06:11:09.376075Z","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":"2026-08-01T06:11:09.478116Z","title":"Do code review practices impact design quality? a case study of the qt, vtk, and itk projects,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:09.478116Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:d06ab20dd7e13b6c6f47b2456e0b00bb9c663b6e29a4ccfe24b68b178bc88e0f","observation_id":"afcf1ce1-fabc-4d1c-8748-ebdbfe5a2398","resolution":{"observed_at":"2026-08-01T06:11:09.478116Z","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":"2026-08-01T06:11:09.572880Z","title":"Modern code review: a case study at google,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:09.572880Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:ce7ddaaa813e4686663e788256118554166eb345cc96c4507f44e5f32e8b1836","observation_id":"b2136a1b-6871-42b2-9529-0acf858c55c0","resolution":{"observed_at":"2026-08-01T06:11:09.572880Z","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":"2026-08-01T06:11:09.623943Z","title":"Convergent contemporary software peer review practices,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:09.623943Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:7792502d212bb567d8936ddc798aa92dbef32d216f62ca447418ce7bf63cae63","observation_id":"9353b2bf-4e63-4a8e-80c2-d5f0392c7b3d","resolution":{"observed_at":"2026-08-01T06:11:09.623943Z","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":"2026-08-01T06:11:09.680102Z","title":"Resolving code review comments with machine learn- ing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:09.680102Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:200211fda2a1a5086eeb7cdd55d99614aa4dd67de3d1920aaf84aab126dba265","observation_id":"7ee8a805-c866-4263-8ec0-20faa396efa0","resolution":{"observed_at":"2026-08-01T06:11:09.680102Z","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":"2026-08-01T06:11:09.732328Z","title":"Rethinking code review work- flows with llm assistance: An empirical study,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:09.732328Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:a49c5e4c753ec2e8719fb5fe5979045b62c25f70e7b798ab5cdb3f8a403131c1","observation_id":"a75b4aa2-8cb5-4aa5-b11f-ca550d7ac508","resolution":{"observed_at":"2026-08-01T06:11:09.732328Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.18771","last_updated":"2026-04-25T09:19:48Z","snapshot_observed_at":"2026-08-13T10:37:02.436934Z","submitted_at":"2025-08-26T07:55:23Z","title":"Does AI Code Review Lead to Code Changes? A Case Study of GitHub Actions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.18771","snapshot_observed_at":"2026-08-01T06:11:09.800530Z","title":"Does ai code review lead to code changes? a case study of github actions,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:09.800530Z"},"links":{"cited_paper":"/paper/2508.18771","citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:81953c09d504200d66eea083cacccf74d3ef684af93ba87964c21a92417c5de9","observation_id":"e7c0011a-0691-47ae-ac09-95d7253ec142","resolution":{"observed_at":"2026-08-01T06:11:09.800530Z","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":"2026-08-01T06:11:09.889081Z","title":"Pull Request #1740: in- fra repository,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:09.889081Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:9be7943c4067635a5c28c35c153040aebe6208168df3198337eebb61a482016a","observation_id":"2ce96b3c-84e4-44f8-aeef-b68640073235","resolution":{"observed_at":"2026-08-01T06:11:09.889081Z","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":"2026-08-01T06:11:09.997221Z","title":"Pull Request #2030: langsmith-sdk repository,","venue":null,"work_id":null,"year":2030},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:09.997221Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:b041c99c731f4aab92f8a89e0d1ea0a785a7b23d7f73eb3c98e52447795bb97a","observation_id":"c910c406-b9fa-4014-899e-cc95f156e275","resolution":{"observed_at":"2026-08-01T06:11:09.997221Z","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":"2026-08-01T06:11:10.086954Z","title":"Impact of developer reputation on code review outcomes in oss projects: An empirical investiga- tion,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:10.086954Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:175b97d7fac070bf49287e565073b05914bf18dc9d03ea4a4250f36cfacf103a","observation_id":"72252b7d-ef8e-499f-8be8-708bc5a63c4e","resolution":{"observed_at":"2026-08-01T06:11:10.086954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.15003","last_updated":"2025-07-20T15:15:58Z","snapshot_observed_at":"2026-08-21T14:25:42.662552Z","submitted_at":"2025-07-20T15:15:58Z","title":"The Rise of AI Teammates in Software Engineering (SE) 3.0: How Autonomous Coding Agents Are Reshaping Software Engineering","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.15003","snapshot_observed_at":"2026-08-01T06:11:10.165756Z","title":"The rise of ai teammates in software engineering (se) 3.0: How autonomous coding agents are reshaping software engineering,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:10.165756Z"},"links":{"cited_paper":"/paper/2507.15003","citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:279dce56bb031bd27b276d5355d2f210103abe759dbffd943150f66e50c9a8e5","observation_id":"ef2099e7-e34a-463b-a4fe-1f75b24301b5","resolution":{"observed_at":"2026-08-01T06:11:10.165756Z","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":"2026-08-01T06:11:10.223250Z","title":"Sampling projects in github for msr studies,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:10.223250Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:e20a437b39102d80177ab2607a0a6b2fe34e0bb2d00c589cf28f2abc398e60b7","observation_id":"1c02338f-2332-4bbf-8bb6-84e35507fde1","resolution":{"observed_at":"2026-08-01T06:11:10.223250Z","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":"2026-08-01T06:11:10.289807Z","title":"Not one to rule them all: Mining meaningful code review orders from github,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:10.289807Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:278958072a7857cae0c764efa72aae5501aa241cb7ca400a12cf2d72e05797a5","observation_id":"0e6a8302-f0f3-4d8e-9e49-1257bf4710e3","resolution":{"observed_at":"2026-08-01T06:11:10.289807Z","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":"2026-08-01T06:11:10.519789Z","title":"Using pre-trained models to boost code review automation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:10.519789Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:7e21393b0bd907588a4c401f70a0f6bda74f0a401ec0db04333eff9dd13755b8","observation_id":"ea52a24f-2728-4e0f-bec1-ecdbc88a6ea1","resolution":{"observed_at":"2026-08-01T06:11:10.519789Z","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":"2026-08-01T06:11:10.690596Z","title":"On the use of github actions in software development repositories,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:10.690596Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:58e15d076b7b4e592375d7ca3f5281f47b04174145e456ef65a91d8d67051a11","observation_id":"684b02e9-6239-44d4-b2e6-36546423dfb1","resolution":{"observed_at":"2026-08-01T06:11:10.690596Z","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":"2026-08-01T06:11:10.864133Z","title":"Understanding refac- torings in elixir functional language,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:10.864133Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:b27b030e32a62fcb177179ceb514df552c03a77d4e4805b41e1f031fcebf8b2e","observation_id":"d3498381-24d3-4099-b0f9-c442d4ce8046","resolution":{"observed_at":"2026-08-01T06:11:10.864133Z","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":"2026-08-01T06:11:11.084876Z","title":"An empirical study of testing practices in open source ai agent frameworks and agentic applications,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:11.084876Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:3744b878801fb36ffd58fa667472a48e727e1a1f8290855ace4078f6a38f48ff","observation_id":"85ed0cb5-c63a-4c98-8c5c-fea399400240","resolution":{"observed_at":"2026-08-01T06:11:11.084876Z","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":"2026-08-01T06:11:11.320474Z","title":"An empirical study of testing machine learning in the wild,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:11.320474Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:75fecc9a5bfacffdcc24c814ebf5f9e92971e5abc5424e20e3203f82653c0883","observation_id":"0d1ab749-28a5-4f50-8253-ff2f96be70aa","resolution":{"observed_at":"2026-08-01T06:11:11.320474Z","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":"2026-08-01T06:11:11.496470Z","title":"The promises and perils of mining github,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:11.496470Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:f1ba0348736552832f8fb7740d2871eb0becdec3acaf11734ddcb70ca5cfe061","observation_id":"1be0c756-84fb-4201-887a-61c18140382d","resolution":{"observed_at":"2026-08-01T06:11:11.496470Z","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":"2026-08-01T06:11:11.652119Z","title":"Github graphql api documentation,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:11.652119Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:6b21a91b2bebf8967997e7ae786af2ccd0b68cf7206ee66827baea4e2b6e9369","observation_id":"5d923b02-7031-40e6-9d22-ba3a8cb08314","resolution":{"observed_at":"2026-08-01T06:11:11.652119Z","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":"2026-08-01T06:11:11.862489Z","title":"Github rest api documentation,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:11.862489Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:9beaf0bae66e4bce04f6525040233f5c4f3456357a84bd3987643575f108a4ce","observation_id":"92f5f3cb-7f60-47ef-8a49-4386e1b79c97","resolution":{"observed_at":"2026-08-01T06:11:11.862489Z","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":"2026-08-01T06:11:12.033130Z","title":"Promises, perils, and (timely) heuristics for mining coding agent activity,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:12.033130Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:3d6ff90f2ee4d15b8cf5eb634bc07a4f59708f5c4bfb577a8f2b7a4cdc8484c3","observation_id":"5c551ed1-2f40-435e-9460-1580f885c77c","resolution":{"observed_at":"2026-08-01T06:11:12.033130Z","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":"2026-08-01T06:11:12.207784Z","title":"Codex code review,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:12.207784Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:9f9c9ac4ccae5f302ae13b1cf8305f744d6a0e1c209c388b483574721af7f78f","observation_id":"bf88a7bc-f914-4f05-b34a-2bca85bf4199","resolution":{"observed_at":"2026-08-01T06:11:12.207784Z","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":"2026-08-01T06:11:12.411667Z","title":"Explaining explanations: An empirical study of explanations in code reviews,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:12.411667Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:9fb65a80f1990eda06c69684b1db99b09c15a510268d627d4bddc1909ded75a8","observation_id":"6ec25de9-911f-4986-955c-186082c612ee","resolution":{"observed_at":"2026-08-01T06:11:12.411667Z","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":"2026-08-01T06:11:12.575985Z","title":"What types of defects are really discovered in code reviews?","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:12.575985Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:ab6dff731e1233bd4af4748114153e9e186a237b57a19bfcaee2af6f0c2e8671","observation_id":"d841bcb5-fb67-4504-b320-ece931da4eb8","resolution":{"observed_at":"2026-08-01T06:11:12.575985Z","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":"2026-08-01T06:11:12.695816Z","title":"What makes a code review useful to opendev developers? an empirical investigation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:12.695816Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:e268f17f7fcddcbc75ff36d6eb22163eb53a1e1de32070d1e77be517e402b3b6","observation_id":"4b1b3f1f-bd31-4e0d-831f-0cb5e7382272","resolution":{"observed_at":"2026-08-01T06:11:12.695816Z","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":"2026-08-01T06:11:12.816505Z","title":"Leveraging reviewer experience in code review comment generation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:12.816505Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:76ee518f5a6eab75ee9ae38eccfb10cfac1e891f6eaef74ab029472e7ba249d6","observation_id":"eff58ae2-093d-4f0a-9c74-e1bb921ad4f4","resolution":{"observed_at":"2026-08-01T06:11:12.816505Z","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":"2026-08-01T06:11:12.910952Z","title":"Harnessing large language models for curated code reviews,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:12.910952Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:678ab42b2803231229263ff3d867b2d408b647f3201306528e3656271414c583","observation_id":"d174d2ba-de4f-43b1-aa74-4138d59c2e5a","resolution":{"observed_at":"2026-08-01T06:11:12.910952Z","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":"2026-08-01T06:11:13.057061Z","title":"Exploring the potential of large language models in fine-grained review comment classification,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:13.057061Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:b57221113e88379e964adc1c0a6c4fb056076ed849741be60debc6a745ca4849","observation_id":"71b44e59-a343-4a79-af6f-6e45b6ef927c","resolution":{"observed_at":"2026-08-01T06:11:13.057061Z","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":"2026-08-01T06:11:13.192363Z","title":"Human-in-the-loop software development agents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:13.192363Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:87cdbe0b69ec16ba605416914f108aaa3a6702ad961c9dd7a9e267721f7e4314","observation_id":"e061ac6e-e9a8-4f74-ab17-e7f08cedb091","resolution":{"observed_at":"2026-08-01T06:11:13.192363Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.01460","last_updated":"2023-11-02T17:59:49Z","snapshot_observed_at":"2026-08-19T20:10:00.657591Z","submitted_at":"2023-11-02T17:59:49Z","title":"Implicit Chain of Thought Reasoning via Knowledge Distillation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.01460","snapshot_observed_at":"2026-08-01T06:11:13.335778Z","title":"Implicit chain of thought reasoning via knowl- edge distillation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:13.335778Z"},"links":{"cited_paper":"/paper/2311.01460","citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:4064525a7b9de5200fcf3c421e1efd37a15bda2b4fbc522b0c959d1955982011","observation_id":"4623412e-265c-4e3b-a032-d544a16b202d","resolution":{"observed_at":"2026-08-01T06:11:13.335778Z","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":"2026-08-01T06:11:13.524698Z","title":"Replication Package,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:13.524698Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:2b5b43202fce0383bc8d1da1d4386d16414831280119a8801ce0b303cbeab534","observation_id":"82ce441d-2cb6-4e7b-af4b-a7d6cc8332c2","resolution":{"observed_at":"2026-08-01T06:11:13.524698Z","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":"2026-08-01T06:11:13.707137Z","title":"Interrater reliability: the kappa statistic,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:13.707137Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:893a1a85b95dfc66c53d8c127f9145d1f83245c78036448d4ce24406dccd848c","observation_id":"0c8b1d29-15aa-416c-9efb-8ab86b7319e8","resolution":{"observed_at":"2026-08-01T06:11:13.707137Z","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":"2026-08-01T06:11:13.855630Z","title":"Judging llm-as- a-judge with mt-bench and chatbot arena,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:13.855630Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:ed02385264c954f7d47f0b1dedf1d8fd70ea81506de368228d58ce2ae11cd54c","observation_id":"160c2ad2-ab00-4c6a-b338-e3d66153771d","resolution":{"observed_at":"2026-08-01T06:11:13.855630Z","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":"2026-08-01T06:11:14.072012Z","title":"Two case stud- ies of open source software development: Apache and mozilla,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:14.072012Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:36775dd4cfa2ade64af7927089c478f4db6d8383ec832c16a1f5b14966c448f9","observation_id":"edbcb975-4b29-4ba6-9f8f-7f4d7042e31d","resolution":{"observed_at":"2026-08-01T06:11:14.072012Z","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":"2026-08-01T06:11:14.213868Z","title":"Classifying de- velopers into core and peripheral: An empirical study on count and network metrics,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:14.213868Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:7e44c335cf218d0f8a9479fa14cbe99fb61c8580cdf063ebdcabf56dbab2936f","observation_id":"da47a1d1-d9fb-4626-9a63-b2c1b2427dc0","resolution":{"observed_at":"2026-08-01T06:11:14.213868Z","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":"2026-08-01T06:11:14.354969Z","title":"An empirical study on the structural complexity introduced by core and peripheral developers in free software projects,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:14.354969Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:ead779896c229e304c074ef830e163d1dabcea8d26935cd58ad6565ca0f9ffc5","observation_id":"c9962328-c619-4f04-b1f4-3d74c9bdffa9","resolution":{"observed_at":"2026-08-01T06:11:14.354969Z","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":"2026-08-01T06:11:14.498460Z","title":"Do time of day and developer experience affect commit bugginess?","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:14.498460Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:ad5f48f8da330d246c3b7ef80390eb8a7396e5232176b380efd1fd563b1f4ecd","observation_id":"3fb4dbb9-a3c6-46d0-bba3-045fd52b8f37","resolution":{"observed_at":"2026-08-01T06:11:14.498460Z","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":"2026-08-01T06:11:14.692437Z","title":"Dual ecological measures of focus in software development,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:14.692437Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:2998d62fea0e23a2093ad3a240d4ce5ebb4698ef053ea0960edee075901f8da4","observation_id":"daee5f82-b917-414b-802c-5d015ff25843","resolution":{"observed_at":"2026-08-01T06:11:14.692437Z","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":"2026-08-01T06:11:14.832006Z","title":"Organizational volatility and its effects on software defects,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:14.832006Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:34ffde7b5e9043313340f9ed88ef95e38d76585dd3cc10287abd63273d700695","observation_id":"5e8204e4-ad6a-41e6-b96c-9acc7bae4d63","resolution":{"observed_at":"2026-08-01T06:11:14.832006Z","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":"2026-08-01T06:11:15.008690Z","title":"Using developer interaction data to compare expertise metrics,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:15.008690Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:69d0780098d4883326f9404f6d280abec78d83595f373ea823709be6d921ab64","observation_id":"8f5dada4-1268-4293-85fe-0ed6b9c0b815","resolution":{"observed_at":"2026-08-01T06:11:15.008690Z","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":"2026-08-01T06:11:15.118137Z","title":"An exploratory study of the pull-based software development model,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:15.118137Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:12e09cff538d3746ef8fafdd155322e270149c874a22768c06a0dee15a26e5ff","observation_id":"f0abfdce-38af-4c40-a40a-15d83e7ae49d","resolution":{"observed_at":"2026-08-01T06:11:15.118137Z","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":"2026-08-01T06:11:15.290889Z","title":"Code review quality: How developers see it,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:15.290889Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:9a314d6537a907ea3d0046513a977f0481c886fb39f0cea2428f476def476a5f","observation_id":"e02d910b-9f0b-49ee-8eab-8a05c9487e45","resolution":{"observed_at":"2026-08-01T06:11:15.290889Z","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":"2026-08-01T06:11:15.462630Z","title":"Are we all using agents the same way? an empirical study of core and peripheral devel- opers use of coding agents,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:15.462630Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:7daf5f7a4c1fcb08c8c9f9eb4736e5d174cc80b4ad73771f8f527a50d3a0979d","observation_id":"fd6103c7-bb97-4a55-bbb5-26d5086ca22e","resolution":{"observed_at":"2026-08-01T06:11:15.462630Z","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":"2026-08-01T06:11:15.589182Z","title":"Communication in open source software development mailing lists,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:15.589182Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:e7e7f2c5e4c4e89a69a7957c38ce769ece8421322277d326dbe08ac154460a86","observation_id":"61885026-fc93-4bdb-88fa-141f26f488a2","resolution":{"observed_at":"2026-08-01T06:11:15.589182Z","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":"2026-08-01T06:11:15.672604Z","title":"Expectations, outcomes, and chal- lenges of modern code review,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:15.672604Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:99bfa42e55b3a8a148d932b94304f05b43e1b9e973d42471aca30dfd4f524977","observation_id":"2ccb48cf-8463-49e1-ab74-793686041694","resolution":{"observed_at":"2026-08-01T06:11:15.672604Z","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":"2026-08-01T06:11:15.740294Z","title":"Code reviews with divergent review scores: An empirical study of the openstack and qt communities,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:15.740294Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:ec1407c0d5db01e17d87a7354bea6f597b6338ef134d347326b4e0f81a9d3c1a","observation_id":"3771403d-411a-4c1f-a7eb-0288e9570af0","resolution":{"observed_at":"2026-08-01T06:11:15.740294Z","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":"2026-08-01T06:11:15.845894Z","title":"Spencer,Card sorting: Designing usable categories","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:15.845894Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:b02ae1cd67ac02e28bce6ee31e658cc561d36a2133ab4a0d308d6ea71901a03c","observation_id":"8a3570ee-9f63-480a-b1b3-d16d189d8d9e","resolution":{"observed_at":"2026-08-01T06:11:15.845894Z","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":"2026-08-01T06:11:15.919447Z","title":"Why rein- venting the wheels? an empirical study on library reuse and re-implementation,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:15.919447Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:2d00baf2cabd6695e12ba887602129c5f8476511c67ac44265fde7d69dcebee1","observation_id":"1137a547-9637-4bb3-a243-2404dd7fe186","resolution":{"observed_at":"2026-08-01T06:11:15.919447Z","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":"2026-08-01T06:11:15.996421Z","title":"Characteristics of useful code reviews: An empirical study at microsoft,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:15.996421Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:e747725cc218e7fbf869aa25bbf04659a230727faaace8bc9857f281f2e6e497","observation_id":"1d385fd0-e567-431f-9c99-dde8e46252dc","resolution":{"observed_at":"2026-08-01T06:11:15.996421Z","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":"2026-08-01T06:11:16.174546Z","title":"Wilcoxon-mann-whitney or t- test? on assumptions for hypothesis tests and multiple interpre- tations of decision rules,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:16.174546Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:7d3f7ffaa123419e84c8a9be4943cb72758bc33c416dd4c134c2a28d7d18cfa2","observation_id":"cf4118b5-6efa-46a7-baf7-d9a1d181759f","resolution":{"observed_at":"2026-08-01T06:11:16.174546Z","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":"2026-08-01T06:11:16.370092Z","title":"The chi-square test of independence,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:16.370092Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:e8bd68d43bf73af48892202c447f109bf23da57b51370212355ef3a164073641","observation_id":"2cdd9b85-461c-46bb-b181-b110a1bb8a1d","resolution":{"observed_at":"2026-08-01T06:11:16.370092Z","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":"2026-08-01T06:11:16.504409Z","title":"Incorporating feedback in your pull request,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:16.504409Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:d577bea5e4823da192b2af3a5c12a52b86ab7b705ed6c642e85687061a22c45d","observation_id":"aa04e9aa-b478-4079-aabe-ea7f97b6a176","resolution":{"observed_at":"2026-08-01T06:11:16.504409Z","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":"2026-08-01T06:11:16.596486Z","title":"Suggestion bot: analyzing the impact of automated suggested changes on code reviews,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:16.596486Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:5a2c135bb6c1716645ada95cf1a0a71b935d3c8784b56b14dc2bcabef9fd987c","observation_id":"9890222c-e1a2-41d5-8867-3d8b664d4acc","resolution":{"observed_at":"2026-08-01T06:11:16.596486Z","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":"2026-08-01T06:11:16.676908Z","title":"Predicting usefulness of code review comments using textual features and developer experience,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:16.676908Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:231d8a443285446f9bd5bc1d1dd9dbeb3e611f3585827e4aa7327aea277d08c6","observation_id":"66281f50-ebbd-4604-9ba5-82c408c2e39a","resolution":{"observed_at":"2026-08-01T06:11:16.676908Z","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":"2026-08-01T06:11:16.762430Z","title":"A decade of code comment quality assessment: A systematic literature review,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:16.762430Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:9a5375b08b2fb13be89c3dd79e2ec63dc2213d331dd47047328b47308e6d72b3","observation_id":"1e39a748-b647-4ee2-9a32-b8a287c18a8a","resolution":{"observed_at":"2026-08-01T06:11:16.762430Z","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":"2026-08-01T06:11:16.867851Z","title":"How to write code review comments — eng- practices,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:16.867851Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:a469931236559a7ec3dcf03142463d76e00c1c967df1cc74a15f10b41d79d0eb","observation_id":"e6e05f8f-c26e-43e9-b700-0dd1ad568cea","resolution":{"observed_at":"2026-08-01T06:11:16.867851Z","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":"2026-08-01T06:11:16.927003Z","title":"Example driven code review explanation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:16.927003Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:7e8f9f9ac86eb2a73821590e9d8f718c8de4230a65d066034bd395efa5ee0b4d","observation_id":"f5a4b994-7bb9-4f4d-8436-ff0cfd5cf69e","resolution":{"observed_at":"2026-08-01T06:11:16.927003Z","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":"2026-08-01T06:11:17.008531Z","title":"On the jaccard similarity test,","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:17.008531Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:51e83bed17500dd6d10f148485dc577469edc1fce5a166db5e5fe3cc724e16c8","observation_id":"4523b273-9fbe-4357-8421-dc75ef7712af","resolution":{"observed_at":"2026-08-01T06:11:17.008531Z","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":"2026-08-01T06:11:17.083688Z","title":"Pull Request #3205: Opik Repository,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:17.083688Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:39b74868d380f2fbec02d2e5a01eff02eb17a584ebb385832e4c73da365ef7d9","observation_id":"bfd3c5b5-6602-411c-86b5-4843a7376dea","resolution":{"observed_at":"2026-08-01T06:11:17.083688Z","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":"2026-08-01T06:11:17.141648Z","title":"Pull Request #2854: azure-search- openai-demo,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:17.141648Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:a5ae0eff59933979d06b672b44211e47973489e0d9fb9e7d4b685d61bf2ad95b","observation_id":"1087d37d-1ef9-4fb7-ae1c-1d905e01b880","resolution":{"observed_at":"2026-08-01T06:11:17.141648Z","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":"2026-08-01T06:11:17.207364Z","title":"Pull Request #105249: sentry repository,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:17.207364Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:b2d1141678c44e0564ca65239d00f288fc3e7d0dbd4a14b1f30b90492bbd598b","observation_id":"b1f440a8-a0dc-4f6d-8aba-34b34f038b37","resolution":{"observed_at":"2026-08-01T06:11:17.207364Z","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":"2026-08-01T06:11:17.262542Z","title":"Pull request #42779,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:17.262542Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:68818b5021e40496ebcec0bf7087720a547b07aa3f0d946c3403e8d03b3c8ecd","observation_id":"dce480a7-2e7a-48cc-8486-a11d16db7250","resolution":{"observed_at":"2026-08-01T06:11:17.262542Z","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":"2026-08-01T06:11:17.295183Z","title":"Pull Request #54198: ray repo","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:17.295183Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:650d9ee2d261343249473d9f779f2b72b1e1ff9aa0531b7a7c83c07c2337cdda","observation_id":"2ac26fe9-2bd6-4f78-9928-886fcc27a70c","resolution":{"observed_at":"2026-08-01T06:11:17.295183Z","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":"2026-08-01T06:11:17.328492Z","title":"Pull Request #56790: ray repo","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:17.328492Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:4b5f9d2b2f8cbfe61f625af02a80379a3301c64c08266a53750177c028c832cd","observation_id":"8383a240-caf0-47ef-b9f7-ac8265850a9a","resolution":{"observed_at":"2026-08-01T06:11:17.328492Z","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":"2026-08-01T06:11:17.445248Z","title":"Pull Request #56752: ray repo","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:17.445248Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:f0a8828651b94aa9cb5befab9bab29c5b57d41b14e33fa43c11d76f4cf5c6978","observation_id":"f02b75b3-0afb-4529-8357-09b94f3b105c","resolution":{"observed_at":"2026-08-01T06:11:17.445248Z","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":"2026-08-01T06:11:17.583284Z","title":"Pull Request #104594: sentry repository,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:17.583284Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:5465ea02e1ba181582da8ba7ee9e8719f40583c802ac42638dbcf86a60309de6","observation_id":"8a211347-3cd8-4b89-85ff-8a3363282d9d","resolution":{"observed_at":"2026-08-01T06:11:17.583284Z","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":"2026-08-01T06:11:17.745933Z","title":"Pull Request #6568: onyx repository,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:17.745933Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:306549db22c15d331f45d44a20bb8f8bd7c1a1c00565e422d1f7eda1d01b018a","observation_id":"e379d0c4-5929-4e43-9e3c-dcb6a7f193ce","resolution":{"observed_at":"2026-08-01T06:11:17.745933Z","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":"2026-08-01T06:11:17.977695Z","title":"Pull Request #1812: inference repository,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:17.977695Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:e61a8b6da8fa089edeb4133c698cb2161f364349cac7afdb6efbe832d08aa317","observation_id":"39ec1aab-9ed8-4ddc-a908-9299e844e7fa","resolution":{"observed_at":"2026-08-01T06:11:17.977695Z","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":"2026-08-01T06:11:18.136410Z","title":"Pull Request #17152: litellm repository,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:18.136410Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:b10e690d88a7fba1cf26fdfcaaab1e73e59ca7e7175e89fb2f5fb90867ebd58e","observation_id":"b65956b0-28dc-42b7-b0d8-89198eeb20a3","resolution":{"observed_at":"2026-08-01T06:11:18.136410Z","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":"2026-08-01T06:11:18.193319Z","title":"Pull Request #2333: kombu repository,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:18.193319Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:857a5669904bef8340f9e014dac7bca29291e85d67a2e39d2daab4966e1cb3b7","observation_id":"b7dda8e5-5736-43ed-88a8-54b94ab369bc","resolution":{"observed_at":"2026-08-01T06:11:18.193319Z","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":"2026-08-01T06:11:18.293149Z","title":"Pull Request #5324: fastdeploy repository,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:18.293149Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:9caf72e99b677512f3eb22fa8e9ebc6e63b0889f6c83fd15157312750730c55f","observation_id":"9f1530aa-f0ac-4fd1-a6af-1adcb09f2f8f","resolution":{"observed_at":"2026-08-01T06:11:18.293149Z","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":"2026-08-01T06:11:18.448340Z","title":"Pull Request #1448: smolagents repository,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:18.448340Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:9e845e7a859e797a34fe8410e17e7c030222d2b5e95d39242183e0e8866a4d8a","observation_id":"13578b4b-1ecb-4bd1-9fce-e6f6975529c3","resolution":{"observed_at":"2026-08-01T06:11:18.448340Z","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":"2026-08-01T06:11:18.558521Z","title":"Pull Request #2173: openai-agents-python repository,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:18.558521Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:738264fc2cb731037ce66093ae4ddd404fcae1c15716a1b3a9c38cab1e546b7b","observation_id":"bca73fcb-2396-40be-8298-0fdaccc1ff57","resolution":{"observed_at":"2026-08-01T06:11:18.558521Z","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":"2026-08-01T06:11:18.656614Z","title":"Pull Request #103695: sentry repository,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:18.656614Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:1b2267e3223f48709402265307f9a63b1105ea185af0bfd80b0b5c287697b42a","observation_id":"1563f66c-b9c6-474e-a7a2-ee2aba16296d","resolution":{"observed_at":"2026-08-01T06:11:18.656614Z","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":"2026-08-01T06:11:18.757994Z","title":"Pull Request #19442: mlflow repository,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:18.757994Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:2c4da5efd7bf6890516d9dd70132001c4c2833743968fc71a18dbfc6dc4c82bc","observation_id":"8337b1da-56ea-40fb-ae9c-e80b90c6e2c7","resolution":{"observed_at":"2026-08-01T06:11:18.757994Z","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":"2026-08-01T06:11:18.874044Z","title":"Pull Request #16382: mlflow repository,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:18.874044Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:93e969c90bfaa882b8167980f5583856a2d3fa4aad016f0bcf9e5c07fa3d5056","observation_id":"fb55a4b6-946b-4ed8-b064-0f813313dddf","resolution":{"observed_at":"2026-08-01T06:11:18.874044Z","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":"2026-08-01T06:11:19.007884Z","title":"Prometheus: Unified knowledge graphs for issue resolution in multilingual codebases,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:19.007884Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:a08cf0e0bc6760bfb6690968c9785c8967b71599127deab5cae959e179446d92","observation_id":"6a5d2e80-50bd-4fa6-bc46-1fc5425a9d04","resolution":{"observed_at":"2026-08-01T06:11:19.007884Z","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":"2026-08-01T06:11:19.058588Z","title":"Improving automated code reviews: Learning from experi- ence,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:19.058588Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:a6b256abfd645eed5adcff4549fcce9528f4310128b73302b7b7ea40fb07f871","observation_id":"9a49e4ab-3885-42d3-9d44-73d983b566ea","resolution":{"observed_at":"2026-08-01T06:11:19.058588Z","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":"2026-08-01T06:11:19.141314Z","title":"Patchtrack: Analyzing chatgpt’s impact on software patch decision-making in pull requests,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:19.141314Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:42a6d42bd0c041a5c4c6be4fbfb7d65f9bc3f7317a1aa104710bbc3fac8bc264","observation_id":"f40848d7-77ca-4665-80f3-7092c81f5664","resolution":{"observed_at":"2026-08-01T06:11:19.141314Z","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":"2026-08-01T06:11:19.216389Z","title":"Automated code review in practice,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:19.216389Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:ade22241ed87b77e27b4c7a085312a2e5bd8916ce05f0fe5000dd1e7428d8735","observation_id":"07d1f6c0-172d-493e-8b56-fce29df0ac49","resolution":{"observed_at":"2026-08-01T06:11:19.216389Z","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":"2026-08-01T06:11:19.278373Z","title":"Influence of social and technical factors for evaluating contribution in github,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:19.278373Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:3e487350dd09d30b46ba02c23a33bdc902a7c642a31fee3d5eeb81537f2265e1","observation_id":"1885868f-7a47-4acd-b4d6-46dd7790bdbb","resolution":{"observed_at":"2026-08-01T06:11:19.278373Z","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":"2026-08-01T06:11:19.341080Z","title":"An insight into the pull requests of github,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:19.341080Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:41f93ed28d19213c617d818c88f37200fada9ab3315a3dfb02f1de6fbcc0d0a0","observation_id":"6678b59d-9db5-4dea-b614-6a495abfad36","resolution":{"observed_at":"2026-08-01T06:11:19.341080Z","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":"2026-08-01T06:11:19.388318Z","title":"Review participation in modern code review: An empirical study of the android, qt, and openstack projects,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:19.388318Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:5fd8731f859dddd982537e7bfcca8dfcef55cd7cd420602e0634d73942080939","observation_id":"c25e58da-9595-42d8-95a2-03f8e8aeaa02","resolution":{"observed_at":"2026-08-01T06:11:19.388318Z","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":"2026-08-01T06:11:19.455796Z","title":"An empiri- cal study on github pull requests’ reactions,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:19.455796Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:8d57ac30daf783ea26860137f88f87f80d86737f9b8014c3f24c5df046208301","observation_id":"5337afd4-63f8-4b53-9044-23add0c09c5c","resolution":{"observed_at":"2026-08-01T06:11:19.455796Z","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":"2026-08-01T06:11:19.516095Z","title":"‘I do have a fair amount of concern.’: The CEO of $61 billion Anthropic says AI will take over a crucial part of software engineers’ jobs within a year,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:19.516095Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:f2bb4b667c15de883c528d2c5cde0f234b4c12a6d77226459e4db11d7304d1eb","observation_id":"a49d594f-5177-4b27-a036-3910f025b07e","resolution":{"observed_at":"2026-08-01T06:11:19.516095Z","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":"2026-08-01T06:11:19.575867Z","title":"On the use of agentic coding: An empirical study of pull requests on github,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:19.575867Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:3bea3eeb7f2dd974b2b78b3692ef409e442fe2b4c3253ec813591a1b70085896","observation_id":"79e376e1-582d-44c9-b997-f884c04b52e2","resolution":{"observed_at":"2026-08-01T06:11:19.575867Z","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":"2026-08-01T06:11:19.644122Z","title":"An empirical study of bots in software development: Characteristics and challenges from a practitioner’s perspective,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:19.644122Z"},"links":{"citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:65b2fd6239176f745c723097e70aad185702d6bdd344b793f8c894ccf604ec79","observation_id":"1af6dfa6-6d39-45d1-94f1-da3bad0f1ca2","resolution":{"observed_at":"2026-08-01T06:11:19.644122Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2603.06847","last_updated":"2026-05-07T16:46:46Z","snapshot_observed_at":"2026-08-12T19:29:28.939078Z","submitted_at":"2026-03-06T20:12:29Z","title":"Characterizing Faults in Agentic AI: A Taxonomy of Types, Symptoms, and Root Causes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2603.06847","snapshot_observed_at":"2026-08-01T06:11:19.708025Z","title":"Characterizing faults in agentic ai: A taxonomy of types, symptoms, and root causes,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-01T06:11:19.708025Z"},"links":{"cited_paper":"/paper/2603.06847","citing_paper":"/paper/2607.21997"},"observation_digest":"sha256:251e5cfefc6879678e782b1727ac14569a7d2386e222821cd52a7eee8a347f14","observation_id":"8910bcae-0421-4dcd-b3dc-f8ef709f2a70","resolution":{"observed_at":"2026-08-01T06:11:19.708025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.21997","last_updated":"2026-07-29T20:44:35Z","latest_version":2,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-13T02:10:13.932628Z","submitted_at":"2026-07-24T05:51:48Z","title":"\"Go Home Copilot, You're Drunk\": Understanding Developer Responses to Agent-Generated Code Review Comments"},"reference_resolution":{"displayed":91,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":91,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":91},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 0 inbound Pith citation observations for arXiv:2607.21997."}