{"as_of":"2026-08-09T15:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f374f834e8ecc0b49dcd06f2cc5b56cd9c65a5e7d150da7bbfa59e1efebc608d","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T11:20:06.598412Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:04:19.534722Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T05:04:19.711820Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"cited_work":{"arxiv_id":"2502.02757","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.02757","snapshot_observed_at":"2026-08-07T05:04:19.711820Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","venue":"cs.SE","work_id":"5886336f-a428-4f8b-a222-65e8b36917fb","year":2025},"citing_paper":{"arxiv_id":"2506.08860","last_updated":"2025-06-11T01:21:02Z","snapshot_observed_at":"2026-08-07T11:16:30.247388Z","submitted_at":"2025-06-10T14:51:20Z","title":"On The Impact of Merge Request Deviations on Code Review Practices","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:04:19.534722Z"},"links":{"cited_paper":"/paper/2502.02757","citing_paper":"/paper/2506.08860"},"observation_digest":"sha256:cc31d001c09578d7389f38a2fabdb3d96bc3b3dd057b024b906ce2ee3bb7f1ab","observation_id":"8f9f1c03-b67c-481b-9d52-a432f3016b54","resolution":{"observed_at":"2026-08-07T05:04:19.716751Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.02757/citation-record","integrity":"/paper/2502.02757/integrity","json":"/paper/2502.02757/citation-record.json","paper":"/paper/2502.02757"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.139602Z","title":"Expectations, outcomes, and challenges of modern code review,","venue":null,"work_id":"239f2d31-833c-41d4-9119-cad2f275c7c7","year":2013},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.418119Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:8110cd6538880b0d5c475cbe1edd743f1f90d8ce1a97e8185a7413a7784e1dc2","observation_id":"c9982eb9-2ea6-4f99-9959-0a61da27c26e","resolution":{"observed_at":"2026-08-09T11:20:07.142669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.130780Z","title":"Convergent contemporary software peer review practices,","venue":null,"work_id":"16e406ea-3222-48a0-a20d-d9dbc0e8eccf","year":2013},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.423532Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:15b942854dbd593701564d5ec4d7006a2e46b4443b41223a920229524567427e","observation_id":"292a64fe-c050-4904-8d0d-4af675012257","resolution":{"observed_at":"2026-08-09T11:20:07.134105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.120744Z","title":"Process aspects and social dynamics of contempo- rary code review: Insights from open source development and industrial practice at microsoft,","venue":null,"work_id":"54b38d71-e8a6-4bc1-bc6f-9baa4d6b0afe","year":2017},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.427073Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:85da92e652cd1e39f504c8c1c7ea27cd0f11d97cb9d231c8827808539a512818","observation_id":"970cc895-419d-48d6-bcbe-cf7e55ea188f","resolution":{"observed_at":"2026-08-09T11:20:07.124637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.110794Z","title":"Using pre-trained mod- els to boost code review automation,","venue":null,"work_id":"d1a39558-0f8e-406a-9be6-22c42656ab93","year":2022},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.431015Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:f2812eb34a36d16f06c5ec350ef1baf0ea63fe9fdd7fba037e80d2b7eee60161","observation_id":"12b5d3c4-af1a-492f-a7f5-37105f8c6f06","resolution":{"observed_at":"2026-08-09T11:20:07.114345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.100758Z","title":"Automating code review activities by large-scale pre-training,","venue":null,"work_id":"4aab90f4-1cb8-4934-9d54-e7a9a669e929","year":2022},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.434807Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:6b0917a88d83b4429ba9b5563bdf1a2b67a36c67739c8363d8aa8b04b9c3bf42","observation_id":"5cae1e57-85f8-4937-ad3c-e29bab545918","resolution":{"observed_at":"2026-08-09T11:20:07.104310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.090738Z","title":"Cct5: A code-change-oriented pre-trained model,","venue":null,"work_id":"26f66f08-c73f-4192-87dd-6a982f5223d6","year":2023},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.438532Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:43233418a91d160577713efde088af8a4b3617dcf11be6173bbc76ee26062551","observation_id":"3e33ca5d-0308-482a-b710-e5765fbd8d65","resolution":{"observed_at":"2026-08-09T11:20:07.094168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.081040Z","title":"Code review quality: How developers see it,","venue":null,"work_id":"aeb1e316-444f-4378-9cd5-0b73567d5d68","year":2016},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.442744Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:268e65075446c1b45cb22905e6792bc98d19c9712e7228b4d33e49b5c73bd882","observation_id":"bfb16176-73f7-43b1-8579-dc18034b0dff","resolution":{"observed_at":"2026-08-09T11:20:07.084736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.070276Z","title":"Improving automated code reviews: Learning from experience,","venue":null,"work_id":"e0a5f174-cbfc-419c-ab6d-5909b56c668d","year":2024},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.445948Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:b6f3091f5957533710b83295e88833e0ea1bf8c22b8a35d3b0d6bc734f4c7a24","observation_id":"e61a820e-ade6-403c-a411-a507b003654f","resolution":{"observed_at":"2026-08-09T11:20:07.074229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.060021Z","title":"Communicative intention in code review questions,","venue":null,"work_id":"fad7b82e-16b1-4002-8023-51178e2b7f89","year":2018},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.449301Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:a8410bed32a1290da5e0addeb7815cb5cb660a7eada8205ca3af21ee1f70a00c","observation_id":"2bce9198-403c-4403-942b-f9200575c32d","resolution":{"observed_at":"2026-08-09T11:20:07.063478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.050413Z","title":"Towards automating code review activities,","venue":null,"work_id":"76b09e48-4751-4699-b2f4-13f16c48e04b","year":2021},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.452739Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:dd84ecc39cff7570b45ab54dfb6619e0a32e95834d1d8676381f976d0ed9d95f","observation_id":"e9f14d3f-95c5-4b11-be1b-036decaa72ba","resolution":{"observed_at":"2026-08-09T11:20:07.053858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.040677Z","title":"Code review automation: Strengths and weaknesses of the state of the art,","venue":null,"work_id":"406f439e-8572-4123-ad1e-8d245ed4f3f4","year":2024},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.456189Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:81138858aefc184c6598f63dc64ae8d0060511da4c551b6ad864df396d39587f","observation_id":"906eac0d-a7c3-4e52-8d2d-895f012a83ce","resolution":{"observed_at":"2026-08-09T11:20:07.044383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.030914Z","title":"Characteristics of useful code reviews: An empirical study at microsoft,","venue":null,"work_id":"95f61298-0a4e-40cd-9361-1f9abc70eaa9","year":2015},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.459474Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:a9ebda142fb56845f95dc62c914d288753feffdd90e7d7c088e75f5883f2fb70","observation_id":"eb88a631-264f-45c7-bfe3-9f9e4176d9ce","resolution":{"observed_at":"2026-08-09T11:20:07.034433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.010149Z","title":"An empirical study of the impact of modern code review practices on software quality,","venue":null,"work_id":"32ce2726-10a7-45c9-963a-117fd62edc52","year":2016},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.466295Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:c52f6da7de18f6bbb296275941956b7b39b78d2fae255d49d376ddd65c437d8a","observation_id":"cac21a0b-fdfb-42d3-b6b4-56276e59223b","resolution":{"observed_at":"2026-08-09T11:20:07.013504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.000239Z","title":"An exploratory study on confusion in code reviews,","venue":null,"work_id":"b6cf721d-7e36-49d2-b65a-f5fb21df4ec7","year":2021},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.469375Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:3d4e302771a2d40dcdd8cc646a80ac690073b064c07940c2c344b7fa1bfb2fa0","observation_id":"7f7f6d86-688d-4988-adcb-ee2e589adad9","resolution":{"observed_at":"2026-08-09T11:20:07.003685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03374","last_updated":"2021-07-14T17:16:02Z","snapshot_observed_at":"2026-08-08T11:58:24.516369Z","submitted_at":"2021-07-07T17:41:24Z","title":"Evaluating Large Language Models Trained on Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03374","snapshot_observed_at":"2026-08-09T11:20:06.472510Z","title":"Evaluating large language models trained on code,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.472510Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:e287b61c06ed59314a6c630c562c469a2afb38f9b4440766075a06d12dee24f7","observation_id":"95e4511b-fabb-405a-b1df-b5bf57da6f6b","resolution":{"observed_at":"2026-08-09T11:20:06.472510Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.990327Z","title":"Measuring massive multitask language understanding,","venue":null,"work_id":"03377b21-e32a-4a10-af3d-97f42be70ada","year":2020},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.475957Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:99552be160fa4fe81b08c75ff20e77a5886550b63d288acc6d4716516c171e35","observation_id":"2591b19d-3d82-4f99-b568-55fecdbcc589","resolution":{"observed_at":"2026-08-09T11:20:06.993929Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.979617Z","title":"Chatgpt out- performs crowd workers for text-annotation tasks,","venue":null,"work_id":"637892d4-9da4-46ef-9d91-c8ba102f4162","year":2023},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.478842Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:c7ab75d56a44406f7f48257e21f40f164386247614e0ba9707c6029a6669fac8","observation_id":"1a1ad05b-93f8-456d-b077-a4e9b4367e0f","resolution":{"observed_at":"2026-08-09T11:20:06.983305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.969469Z","title":"Is GPT-3 a good data annotator?","venue":null,"work_id":"f166016f-43f6-42b8-aab3-f4d6b4c3c785","year":2023},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.481479Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:8ed5bcc50ca37cb23f03430fdc8e088768c2d138821a12480c7855945d9cb70d","observation_id":"50bf2f60-d839-4e38-8398-e91f550638bb","resolution":{"observed_at":"2026-08-09T11:20:06.972894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.958995Z","title":"CodeT5: Identifier-aware unified pre-trained encoder- decoder models for code understanding and generation,","venue":null,"work_id":"046da88e-e3e1-4404-bba2-6d262fcbead2","year":2021},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.484227Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:950c78d598cd11567f915861a0a6a734e1832c7f9a3e3fccb5e0d39528c4420c","observation_id":"aca309f4-9a1c-4c9f-aa90-19e0954712ca","resolution":{"observed_at":"2026-08-09T11:20:06.962973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.948952Z","title":"Partitioning composite code changes to facilitate code review,","venue":null,"work_id":"46ba9de0-9d0c-4937-8bf2-b1bb694828ab","year":2015},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.487051Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:f3dc74cf9b600b2b271529ff9a5b255abc7ee7ac43dfa5ffbe9a9d389fc5c1ea","observation_id":"b07db5c6-5fdf-4c7e-85b0-598bcd21e699","resolution":{"observed_at":"2026-08-09T11:20:06.952660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.938859Z","title":"Associating working memory capacity and code change ordering with code review performance,","venue":null,"work_id":"34e9c2ce-d376-456f-8540-8e99597c70a9","year":2019},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.489701Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:c4441dde352e6ec518b047dae7020e437610948f9771267381ac613d60cd25c8","observation_id":"58b3391c-51f5-49c7-8f08-945c669f6c5e","resolution":{"observed_at":"2026-08-09T11:20:06.942522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.928700Z","title":"On learning meaningful code changes via neural machine translation,","venue":null,"work_id":"8013963c-fd0f-4462-964b-9e2345b3bc97","year":2019},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.492273Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:e533ec44fad62c8b50068ef8ac93f9d79cffe5f17db4af9e32329053dee46014","observation_id":"cb7af9eb-415f-4cdb-a56c-9edaa26d6082","resolution":{"observed_at":"2026-08-09T11:20:06.932256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.918968Z","title":"Autotransform: Automated code transformation to support modern code review process,","venue":null,"work_id":"2a528f2d-69bc-4057-95a1-872fd15d4a19","year":2022},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.494846Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:29983722a02f6d9032a2e4c0d190fbcb6028eb352a41a059d474f288593ce15c","observation_id":"d854eafd-c629-44cd-99e0-209f23fedf2b","resolution":{"observed_at":"2026-08-09T11:20:06.922532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.909071Z","title":"D-act: Towards diff-aware code transfor- mation for code review under a time-wise evaluation,","venue":null,"work_id":"2df8c427-a842-4137-b200-b18135c5da6b","year":2023},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.497532Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:da16c03c176ed23e043f4469ed1d376b679ad833b6c8a4cab71f769862584ec2","observation_id":"76decba6-65d2-49dc-a8b5-5d587ecf718f","resolution":{"observed_at":"2026-08-09T11:20:06.912791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.898990Z","title":"Exploring the limits of transfer learning with a unified text-to- text transformer,","venue":null,"work_id":"2d2cb76c-8ce3-494e-9c73-8a26bf1bb528","year":2020},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.500332Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:82f08eead5af5673c13c1a5c470b4031d0362b9383f2d2b7199963841457698e","observation_id":"6687325b-7ba5-4a7d-9197-28a2bfd34041","resolution":{"observed_at":"2026-08-09T11:20:06.902471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.888845Z","title":"Improving the learning of code review successive tasks with cross-task knowl- edge distillation,","venue":null,"work_id":"8e2b0256-b633-445d-8c81-814ac5e22aaa","year":2024},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.503542Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:e5fa350ba71fe3de49860475dec5eede326ce446c16d55470bf24fa6a371b294","observation_id":"f9c78446-5664-41bf-87a5-9c1ef2294e4d","resolution":{"observed_at":"2026-08-09T11:20:06.892576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.879090Z","title":"Llama-reviewer: Advancing code review automation with large language models through parameter-efficient fine-tuning,","venue":null,"work_id":"f2ef4f7b-f366-466c-b04c-30d00325441f","year":2023},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.506838Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:912936b0de74256a17d855ba6767954ee51d24e04c99afbe8916290ecb8b0fb2","observation_id":"d6300f8c-066f-41c9-80de-06042a83aa7a","resolution":{"observed_at":"2026-08-09T11:20:06.882796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13565","last_updated":"2024-05-22T11:57:18Z","snapshot_observed_at":"2026-08-03T22:22:39.712201Z","submitted_at":"2024-05-22T11:57:18Z","title":"AI-Assisted Assessment of Coding Practices in Modern Code Review","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13565","snapshot_observed_at":"2026-08-09T11:20:06.510427Z","title":"Ai-assisted assessment of coding practices in modern code review,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.510427Z"},"links":{"cited_paper":"/paper/2405.13565","citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:471017727f72f077dbcaf1b390dd38bd277ebc9862b4cb6243be6279eb8c0174","observation_id":"9cee57fa-9932-47e5-984e-ecccd19b2ae4","resolution":{"observed_at":"2026-08-09T11:20:06.510427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.869883Z","title":"Resolving code review comments with machine learning,","venue":null,"work_id":"089af4e5-18c6-4b2d-8aa2-03fe193644c9","year":2024},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.514402Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:e8c134335129dd155c34f22c11e0cf8bf0d0b91469627c65019234be3b89a543","observation_id":"e80b6f02-393a-43ba-8914-5f9851db744b","resolution":{"observed_at":"2026-08-09T11:20:06.873302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.860889Z","title":"Intelligent code reviews using deep learning,","venue":null,"work_id":"aa97d2ad-cbda-4b1f-9fc2-5db27ecb03f5","year":2018},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.517821Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:679be8bec1570e36fd1852fa2441a4655bb159fc6e4e73b4a2f78aa5c71cecc8","observation_id":"9372e1f2-3cd4-47e0-b599-874297249088","resolution":{"observed_at":"2026-08-09T11:20:06.864158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:07.020529Z","title":"What makes a code review useful to opendev developers? an empirical investiga- tion,","venue":null,"work_id":"9007675c-5cfe-4953-902a-7058ca26eb10","year":2024},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.521328Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:93b469f6a2ee2961966f10b2142ec074a451185cfdd11bc8392b907646a09f7a","observation_id":"6a501e20-117f-46a5-b3f6-4443406811ec","resolution":{"observed_at":"2026-08-09T11:20:07.024266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.851348Z","title":"A dataset for identifying actionable feedback in collab- orative software development,","venue":null,"work_id":"5d2ed8a0-4b7f-486e-ad3c-238522f56a30","year":2018},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.524910Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:6147f56a98c21a8869cd05532a769deb4307093c751666f38450b98581e816c2","observation_id":"e9b23b57-30d2-4fcd-b403-484f94da9c9e","resolution":{"observed_at":"2026-08-09T11:20:06.854492Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.842226Z","title":"Predicting usefulness of code review comments using textual fea- tures and developer experience,","venue":null,"work_id":"1b12b795-0e71-4494-90e5-981aa7a9a42b","year":2017},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.528492Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:1be78ed6b1d6904e95e6c818d5177a7ef119f22fc7ad357097bb245355bb6a89","observation_id":"70fd5dca-d82c-4546-9d9e-767cc5d2b077","resolution":{"observed_at":"2026-08-09T11:20:06.845325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.832194Z","title":"What types of defects are really discovered in code reviews?","venue":null,"work_id":"996c3f96-79aa-479b-8748-6f36a814250c","year":2009},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.531799Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:8fdb138906a939a4024d673b4fbdd17b6296b93a232f684a499e8ea577ef9e7e","observation_id":"1133413e-4125-435e-b3e9-1949653ff71f","resolution":{"observed_at":"2026-08-09T11:20:06.835813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.822327Z","title":"Large language models meet NL2Code: A survey,","venue":null,"work_id":"396379af-1ee8-46dc-b0cf-a51eebecafd2","year":2023},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.535138Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:979ce9d392ce932a65c57d32827d3b6ecd039ed697afbae8de60bb69ebb4ec5e","observation_id":"f2d65a5a-a65a-4599-bfb5-27ea1a6312f1","resolution":{"observed_at":"2026-08-09T11:20:06.825727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.812616Z","title":"Replication package,","venue":null,"work_id":"00a069f6-9409-457a-892d-4478ec69f329","year":null},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.538625Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:c55163cedda95787bf22df64e313fb20854f22ee0548fae2f296da4023300f84","observation_id":"8fa7cae6-956a-4278-aeb3-5ccd1f7d484d","resolution":{"observed_at":"2026-08-09T11:20:06.816142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12950","last_updated":"2024-01-31T19:47:26Z","snapshot_observed_at":"2026-07-06T16:10:07.931347Z","submitted_at":"2023-08-24T17:39:13Z","title":"Code Llama: Open Foundation Models for Code","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12950","snapshot_observed_at":"2026-08-09T11:20:06.542114Z","title":"Code llama: Open foundation models for code,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.542114Z"},"links":{"cited_paper":"/paper/2308.12950","citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:92b428a3bb064f7b24181b365207b1f09a1be3d22977015a9968a8cfef4b1321","observation_id":"1ab77bfe-51c2-43e7-964a-6319a0f35688","resolution":{"observed_at":"2026-08-09T11:20:06.542114Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.801453Z","title":"Introducing meta llama 3: The most capable openly available llm to date,","venue":null,"work_id":"ab1b3c41-42e2-46a2-8239-a7cd277ef95c","year":2023},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.546001Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:7b8a2d219426882e12cf724ed6885dd64a5a9b9f74796242980fcab7837a6d4a","observation_id":"4cdc8baa-48a0-4f3e-802b-a9a32dedc7d8","resolution":{"observed_at":"2026-08-09T11:20:06.805809Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.790104Z","title":"A survey of large language models for code: Evolution, benchmarking, and future trends,","venue":null,"work_id":"54ce6cb6-494c-4cda-94c0-cd37e51c926b","year":2024},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.549321Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:572d59d8e23456b40eea18ffed9d2b2c90a48b72d751adc01a7fd0506d36d012","observation_id":"f5bb4ed0-c361-4bd3-8712-9a3f66a3c9f5","resolution":{"observed_at":"2026-08-09T11:20:06.793921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.779905Z","title":"Exploring the potential of chatgpt in auto- mated code refinement: An empirical study,","venue":null,"work_id":"d8ee3bcc-fb39-4d6b-b017-5b7184eea1d3","year":2024},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.552800Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:bba327101ae0355031f393f3a973d7af38ae53210d9c007580a7be43bf7fb342","observation_id":"84b16059-7a70-460f-b49b-2996543938f2","resolution":{"observed_at":"2026-08-09T11:20:06.783497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-09T11:20:06.556468Z","title":"Llama 2: Open foundation and fine-tuned chat models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.556468Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:d5838f8e4ae529d72e0ec77d9173e5551c85f8a75ba149fc8c39d045373c0edb","observation_id":"2d511f0d-ef94-4f1d-8c0d-fcbbf24d2e88","resolution":{"observed_at":"2026-08-09T11:20:06.556468Z","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":"2026-08-09T11:20:06.560292Z","title":"Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.560292Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:294614161dd5267b86126689bc0bf9ef79b0231d8ab045303d3109c0c6c4f8a0","observation_id":"d569c985-bfc1-47f9-8ca9-38c099fe313b","resolution":{"observed_at":"2026-08-09T11:20:06.560292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.769233Z","title":"gpt-best-practices,","venue":null,"work_id":"0b06f0d0-b7ac-42c1-aea9-b13ee66d81f8","year":2023},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.563674Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:b1a1bbb271e31b5db2d49d5a059b432a91c9f8b82bfaf5a6f9ef19ee1cd3b716","observation_id":"cacaf955-f1ca-4a64-8758-b949f728bf5c","resolution":{"observed_at":"2026-08-09T11:20:06.772807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.759376Z","title":"Prompt-enhanced software vulnerability detection using chatgpt,","venue":null,"work_id":"7f7a5eda-f345-400f-9755-9b0c79c30f64","year":2024},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.567365Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:c4a93647415d7393960a7c72708ac0a448d1f4b555892f82329a8a31402f0b86","observation_id":"0ccabbf4-9cee-4f33-acbd-01d429d01d32","resolution":{"observed_at":"2026-08-09T11:20:06.762800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.749222Z","title":"Security code review by large language models,","venue":null,"work_id":"91e31a98-626d-494d-a0e6-7df7c9bc0073","year":2024},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.570759Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:7951c78881fda4945b741958571dfba067ba3fefa91feead4d51f1a4f771eb36","observation_id":"2ede40c9-0386-4b0b-a703-5632ca6270c9","resolution":{"observed_at":"2026-08-09T11:20:06.752875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.574219Z","title":"Lost in the middle: How language models use long contexts,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.574219Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:28278e7ae59b68af90701b1b0ec52142c79ed832996220162493399184f2cbb4","observation_id":"26d8421a-00cd-4113-a593-fb8c2bf6de55","resolution":{"observed_at":"2026-08-09T11:20:06.574219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.732023Z","title":"Auger: automatically generating review comments with pre-training models,","venue":null,"work_id":"80d822ca-bbb6-4cbc-8cdc-881d4474b90f","year":2022},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.577879Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:55ab612881828367f385ff49f10114fbdf97eeaba6f431359cc4187f7806f5bc","observation_id":"0230fef5-4f1c-4e7f-98ec-c4883b890884","resolution":{"observed_at":"2026-08-09T11:20:06.736113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.720209Z","title":"Ex- ploring the capabilities of llms for code change related tasks,","venue":null,"work_id":"539424e2-b1e9-46db-87a7-acfb1bcf2cef","year":2024},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.581181Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:e20739338de536a9458f0c2dbf5621f9900ec91dcb4a1a272c1667179a6a067e","observation_id":"7d03156e-5a51-43d7-b120-b35282815860","resolution":{"observed_at":"2026-08-09T11:20:06.724324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.709730Z","title":"Bleu: a method for automatic evaluation of machine translation,","venue":null,"work_id":"42da7f2b-7d47-4ea9-b195-b979e415aab8","year":2002},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.584529Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:fd47fac70e29335073d1f78d9e9d51daf999e1e82c92ab2b2bae1c476e3f779e","observation_id":"35801436-46d7-4326-a437-3ec0d0997e24","resolution":{"observed_at":"2026-08-09T11:20:06.712833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.700177Z","title":"A human study of comprehension and code summarization,","venue":null,"work_id":"c8e199f9-5e14-4abc-b11f-65a30d18ae98","year":2020},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.587946Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:b5452fda0385a89ac2008643cb65245916d6e6a53623a05b092769690df6e8f2","observation_id":"1a117cca-2153-4a92-979f-54d90b6bb7d7","resolution":{"observed_at":"2026-08-09T11:20:06.703485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.05794","last_updated":"2022-03-11T08:35:15Z","snapshot_observed_at":"2026-07-06T12:46:41.057346Z","submitted_at":"2022-03-11T08:35:15Z","title":"BERTopic: Neural topic modeling with a class-based TF-IDF procedure","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.05794","snapshot_observed_at":"2026-08-09T11:20:06.591106Z","title":"Bertopic: Neural topic modeling with a class-based tf-idf procedure,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.591106Z"},"links":{"cited_paper":"/paper/2203.05794","citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:1cf03a4b44158f1d2b894e1c7513c84bb645681790a413cd91149090266725af","observation_id":"b08b06e4-3419-40e2-88a7-1be531b9ac17","resolution":{"observed_at":"2026-08-09T11:20:06.591106Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.690229Z","title":"CodeT5+: Open code large language models for code understanding and generation,","venue":null,"work_id":"9d15effa-f664-46cb-9e42-6a0ef629e5f8","year":2023},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.594964Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:a0717e37b1e31ab7f45ebaaf9c124af50c71072aa39a0afa2ca256ea5df76b9c","observation_id":"bdabf6fc-3a32-4509-b2fe-80c14738ce82","resolution":{"observed_at":"2026-08-09T11:20:06.693448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T11:20:06.678203Z","title":"Exploring the space of topic coherence measures,","venue":null,"work_id":"5e92d645-dc16-4975-bc9b-aa038e948cab","year":2015},"citing_paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-09T11:20:06.598412Z"},"links":{"citing_paper":"/paper/2502.02757"},"observation_digest":"sha256:22e4dd14f7e3e10484113659872825353e0f844e0eea92aa3380e69ed583590f","observation_id":"fbeb4bc8-4772-497d-b722-5b018e335d4d","resolution":{"observed_at":"2026-08-09T11:20:06.683252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2502.02757","last_updated":"2025-02-06T02:19:12Z","latest_version":2,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-09T11:12:19.147232Z","submitted_at":"2025-02-04T22:48:58Z","title":"Too Noisy To Learn: Enhancing Data Quality for Code Review Comment Generation"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":46},"total_outbound_references":53},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2502.02757."}