{"as_of":"2026-08-08T12:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:074ef3d418c6ff20435e85635b45534e62cd55a18eeffa79c352debe0682cc72","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":27,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T19:10:00.689487Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":27,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":"2306.00622","doi":"10.48550/arxiv.2306.00622","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"org/CorpusID:263830310","venue":"arXiv (Cornell University)","work_id":"79360856-2bed-47fe-80b8-f52a71c8d2b4","year":2023},"citing_paper":{"arxiv_id":"2403.07183","last_updated":"2026-05-19T03:49:32Z","snapshot_observed_at":"2026-08-01T20:53:34.992573Z","submitted_at":"2024-03-11T21:51:39Z","title":"Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-24T02:48:00.282814Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2403.07183"},"observation_digest":"sha256:6753e4dddc3d954867998f3c85e9cc8bfe47e95e37c6fdfdf02de0fd75cbe6c9","observation_id":"a12246f8-e5ae-49f4-bc5f-5e4a60fec465","resolution":{"observed_at":"2026-05-24T02:48:47.468986Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-07T19:10:00.689487Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2503.05712","last_updated":"2025-02-14T14:56:14Z","snapshot_observed_at":"2026-08-07T18:57:49.126462Z","submitted_at":"2025-02-14T14:56:14Z","title":"Automatic Evaluation Metrics for Artificially Generated Scientific Research","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T19:10:00.689487Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2503.05712"},"observation_digest":"sha256:5b27da672a5bd170d093858dff3b669b5a36552dce832cf3b54e0a31d20cf479","observation_id":"1fea0a82-127f-441c-9167-8ae1483614cf","resolution":{"observed_at":"2026-08-07T19:10:00.689487Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-07T15:05:26.293474Z","title":"URL:https://arxiv.org/ abs/2306.00622,arXiv:2306.00622","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.16330","last_updated":"2025-05-22T07:34:59Z","snapshot_observed_at":"2026-08-07T15:00:57.464799Z","submitted_at":"2025-05-22T07:34:59Z","title":"SC4ANM: Identifying Optimal Section Combinations for Automated Novelty Prediction in Academic Papers","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T15:05:26.293474Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2505.16330"},"observation_digest":"sha256:20ff7a1f286899a3ec3f3f72639e2a8383b0379efd83011c527d4abbcf715500","observation_id":"38603b02-d79c-4685-9479-5a41f3a8f66a","resolution":{"observed_at":"2026-08-07T15:05:26.293474Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-07T14:31:37.220322Z","title":"Reviewergpt? an exploratory study on using large language models for paper reviewing","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.21537","last_updated":"2025-05-24T09:07:13Z","snapshot_observed_at":"2026-08-08T02:37:32.325481Z","submitted_at":"2025-05-24T09:07:13Z","title":"OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T14:31:37.220322Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2505.21537"},"observation_digest":"sha256:5ce32c29fb40d222b3ee50f9dab0fedcb90c14f6d5eb22d6f211c7af706091b8","observation_id":"a1a7b485-b4bb-4206-8f05-8f91042d8d1e","resolution":{"observed_at":"2026-08-07T14:31:37.220322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-07T05:22:49.550961Z","title":"Liu and N","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08134","last_updated":"2026-06-09T00:39:28Z","snapshot_observed_at":"2026-08-07T05:16:33.521117Z","submitted_at":"2025-06-09T18:37:14Z","title":"Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem","version":4},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T05:22:49.550961Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2506.08134"},"observation_digest":"sha256:9886b8800d365faaea173624dc1ec5d6bdecc113ed5bb0001996e49ccbdfb4f0","observation_id":"df4af3dc-1bef-41f4-b771-cd3ac5fe10c2","resolution":{"observed_at":"2026-08-07T05:22:49.550961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-06T20:28:56.785071Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.02694","last_updated":"2025-07-03T15:04:38Z","snapshot_observed_at":"2026-08-07T02:29:11.672901Z","submitted_at":"2025-07-03T15:04:38Z","title":"Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T20:28:56.785071Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2507.02694"},"observation_digest":"sha256:78cb740ac027a2c9fd9d5a62dd886cd780166470d6c2f646e29ea031b3def2b4","observation_id":"5998f763-07a6-4560-a65c-4788e8dff6b8","resolution":{"observed_at":"2026-08-06T20:28:56.785071Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-06T17:15:44.839969Z","title":", & author Shah, N","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.11330","last_updated":"2025-07-16T14:26:34Z","snapshot_observed_at":"2026-08-06T17:08:09.297139Z","submitted_at":"2025-07-15T14:03:55Z","title":"Automated Novelty Evaluation of Academic Paper: A Collaborative Approach Integrating Human and Large Language Model Knowledge","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T17:15:44.839969Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2507.11330"},"observation_digest":"sha256:77083bc9dbc877606225cce12a68155294e9fed247289f18a2f19184ae9805e1","observation_id":"d6dcbfee-d640-4194-b1da-3e52a94fb6b3","resolution":{"observed_at":"2026-08-06T17:15:44.839969Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-06T10:55:14.882360Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23276","last_updated":"2025-08-01T12:49:36Z","snapshot_observed_at":"2026-08-06T10:54:57.937285Z","submitted_at":"2025-07-31T06:32:06Z","title":"How Far Are AI Scientists from Changing the World?","version":2},"reference_index":107,"source":"arxiv_source","source_observed_at":"2026-08-06T10:55:14.882360Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2507.23276"},"observation_digest":"sha256:2ea24ea912f0ee8230907591b6e427d409d6eb9f2bc362a704d27aa2c776e2ce","observation_id":"27984cf5-3d62-4242-9bbb-01a1b44f03ab","resolution":{"observed_at":"2026-08-06T10:55:14.882360Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-06T01:02:51.054113Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.03990","last_updated":"2025-08-06T00:45:02Z","snapshot_observed_at":"2026-08-07T19:01:14.058600Z","submitted_at":"2025-08-06T00:45:02Z","title":"Are Today's LLMs Ready to Explain Well-Being Concepts?","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T01:02:51.054113Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2508.03990"},"observation_digest":"sha256:011ca0b286bf266f3a13e8c575be2ccdaa937664de3e9be9669708a1ad49813f","observation_id":"a1d2fc63-9b84-48e0-901c-b62912670dff","resolution":{"observed_at":"2026-08-06T01:02:51.054113Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":"2306.00622","doi":"10.48550/arxiv.2306.00622","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"org/CorpusID:263830310","venue":"arXiv (Cornell University)","work_id":"79360856-2bed-47fe-80b8-f52a71c8d2b4","year":2023},"citing_paper":{"arxiv_id":"2509.19349","last_updated":"2025-09-17T17:49:02Z","snapshot_observed_at":"2026-08-08T12:04:51.587933Z","submitted_at":"2025-09-17T17:49:02Z","title":"ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution","version":1},"reference_index":115,"source":"arxiv_source","source_observed_at":"2026-05-16T13:58:58.627748Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2509.19349"},"observation_digest":"sha256:ae2e6ded49c6c20267f21ffa056b38186bc780568a673d77576899e9e5fe0b18","observation_id":"19de3f25-27ae-4777-8ae2-865858fa2382","resolution":{"observed_at":"2026-05-16T13:58:58.851875Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-04T08:59:48.280504Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2510.18003","last_updated":"2026-06-16T04:10:41Z","snapshot_observed_at":"2026-08-07T07:22:36.416388Z","submitted_at":"2025-10-20T18:37:11Z","title":"BadScientist: Can a Research Agent Write Convincing but Unsound Papers that Fool LLM Reviewers?","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-04T08:59:48.280504Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2510.18003"},"observation_digest":"sha256:d275da84a42e3da1d36873dae074ae23f68c900fed4dad34b57f43e39a3958c5","observation_id":"d3ac6bf1-1659-4192-908a-4df8a3682f4d","resolution":{"observed_at":"2026-08-04T08:59:48.280504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":"2306.00622","doi":"10.48550/arxiv.2306.00622","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"org/CorpusID:263830310","venue":"arXiv (Cornell University)","work_id":"79360856-2bed-47fe-80b8-f52a71c8d2b4","year":2023},"citing_paper":{"arxiv_id":"2601.03013","last_updated":"2026-04-08T16:28:19Z","snapshot_observed_at":"2026-08-02T17:59:54.247831Z","submitted_at":"2026-01-06T13:37:50Z","title":"LLMs, You Can Evaluate It! Design of Multi-perspective Report Evaluation for Security Operation Centers","version":4},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-16T17:01:47.603706Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2601.03013"},"observation_digest":"sha256:6e18202748f321732ba0eae0ef427d706ef7c24cf8cc3b020c1bdd1bb1fe0ed1","observation_id":"bd51ae98-02d0-4aa4-ad49-1c20bf31caa5","resolution":{"observed_at":"2026-05-16T17:03:08.132145Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":"2306.00622","doi":"10.48550/arxiv.2306.00622","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"org/CorpusID:263830310","venue":"arXiv (Cornell University)","work_id":"79360856-2bed-47fe-80b8-f52a71c8d2b4","year":2023},"citing_paper":{"arxiv_id":"2604.13940","last_updated":"2026-04-15T14:51:07Z","snapshot_observed_at":"2026-07-06T23:01:50.745555Z","submitted_at":"2026-04-15T14:51:07Z","title":"AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T12:58:35.010130Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2604.13940"},"observation_digest":"sha256:70054210dc9711a613216be133bddbedbe07a091faeff8e5f44fb084453375ab","observation_id":"427fe1c5-e471-42f3-9155-9e854ec856f6","resolution":{"observed_at":"2026-05-10T13:00:24.448354Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":"2306.00622","doi":"10.48550/arxiv.2306.00622","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"org/CorpusID:263830310","venue":"arXiv (Cornell University)","work_id":"79360856-2bed-47fe-80b8-f52a71c8d2b4","year":2023},"citing_paper":{"arxiv_id":"2604.19578","last_updated":"2026-04-21T15:33:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-21T15:33:53Z","title":"Impact of large language models on peer review opinions from a fine-grained perspective: Evidence from top conference proceedings in AI","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T01:50:31.124812Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2604.19578"},"observation_digest":"sha256:684287ffac0ea52d536c09fb1adac385ad9538232a81ce187c0116145b558e83","observation_id":"63376e88-234d-4b17-9fb0-6abed1a2f390","resolution":{"observed_at":"2026-05-11T13:21:19.156161Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":"2306.00622","doi":"10.48550/arxiv.2306.00622","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"org/CorpusID:263830310","venue":"arXiv (Cornell University)","work_id":"79360856-2bed-47fe-80b8-f52a71c8d2b4","year":2023},"citing_paper":{"arxiv_id":"2605.03042","last_updated":"2026-05-04T18:10:15Z","snapshot_observed_at":"2026-07-06T23:16:00.796105Z","submitted_at":"2026-05-04T18:10:15Z","title":"ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-08T17:58:27.418883Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2605.03042"},"observation_digest":"sha256:f8ae0893e45bc6f28f9bf0bf933ec2154706d87cd48bd8485263d291a716713d","observation_id":"4cb9225f-4915-4e74-871a-d1ba58438e1e","resolution":{"observed_at":"2026-05-09T06:55:43.119225Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-07-12T17:41:55.862596Z","title":"findings-emnlp.259/","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.03202","last_updated":"2026-07-05T14:12:31Z","snapshot_observed_at":"2026-07-12T17:41:54.434933Z","submitted_at":"2026-05-04T22:41:04Z","title":"Stop Automating Peer Review Without Rigorous Evaluation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-12T17:41:55.862596Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2605.03202"},"observation_digest":"sha256:1790b7f283a56688abcaf5f4d591f2765607e39f3ee2ff40318bcd37c1e6ba54","observation_id":"c2869991-65d5-4093-aada-94be323fc43b","resolution":{"observed_at":"2026-07-12T17:41:55.862596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":"2306.00622","doi":"10.48550/arxiv.2306.00622","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"org/CorpusID:263830310","venue":"arXiv (Cornell University)","work_id":"79360856-2bed-47fe-80b8-f52a71c8d2b4","year":2023},"citing_paper":{"arxiv_id":"2605.07855","last_updated":"2026-05-18T17:09:53Z","snapshot_observed_at":"2026-08-02T12:35:43.078274Z","submitted_at":"2026-05-08T15:17:29Z","title":"Jagged AI in Scientific Peer Review: Evidence from POMP Data Analysis","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-05-11T02:12:53.971359Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2605.07855"},"observation_digest":"sha256:6138d24d1397a798219d4bbd5088e51a6f3a01a9d88882b87939691611a048d5","observation_id":"2a7c90e9-8339-4d5b-8bb3-e3e5f273e882","resolution":{"observed_at":"2026-05-11T03:50:55.807340Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":"2306.00622","doi":"10.48550/arxiv.2306.00622","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"org/CorpusID:263830310","venue":"arXiv (Cornell University)","work_id":"79360856-2bed-47fe-80b8-f52a71c8d2b4","year":2023},"citing_paper":{"arxiv_id":"2605.07855","last_updated":"2026-05-18T17:09:53Z","snapshot_observed_at":"2026-08-02T12:35:43.078274Z","submitted_at":"2026-05-08T15:17:29Z","title":"Jagged AI in Scientific Peer Review: Evidence from POMP Data Analysis","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-20T22:52:30.390368Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2605.07855"},"observation_digest":"sha256:875eb766a0c9e360ac07707b00b46faafd87573d9ccd7df7007bb7462fe4cbdc","observation_id":"f053806a-d954-476a-bb0b-01124c320c8c","resolution":{"observed_at":"2026-05-20T22:53:49.008913Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":"2306.00622","doi":"10.48550/arxiv.2306.00622","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"org/CorpusID:263830310","venue":"arXiv (Cornell University)","work_id":"79360856-2bed-47fe-80b8-f52a71c8d2b4","year":2023},"citing_paper":{"arxiv_id":"2606.08857","last_updated":"2026-06-07T22:17:15Z","snapshot_observed_at":"2026-08-01T17:11:05.511379Z","submitted_at":"2026-06-07T22:17:15Z","title":"PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-06-27T18:24:29.439691Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2606.08857"},"observation_digest":"sha256:3859b9aca63e78bbb5282e26a57830ee771cbeaaed6de4f8feb92740ab563e7a","observation_id":"2ae939bc-d1c7-47f2-b886-69edc2ca618e","resolution":{"observed_at":"2026-07-02T23:17:29.062504Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":"2306.00622","doi":"10.48550/arxiv.2306.00622","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"org/CorpusID:263830310","venue":"arXiv (Cornell University)","work_id":"79360856-2bed-47fe-80b8-f52a71c8d2b4","year":2023},"citing_paper":{"arxiv_id":"2606.13349","last_updated":"2026-06-11T13:38:23Z","snapshot_observed_at":"2026-08-04T20:11:02.123189Z","submitted_at":"2026-06-11T13:38:23Z","title":"From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-06-27T07:14:53.780036Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2606.13349"},"observation_digest":"sha256:53804450d78fd5ee4594d4ca93b6509384e33dbbde55167c7b6f4500af6389a4","observation_id":"511ca7c1-a0b4-4bb9-ad95-a935cf5cf9a7","resolution":{"observed_at":"2026-06-27T07:20:42.015360Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":"2306.00622","doi":"10.48550/arxiv.2306.00622","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"org/CorpusID:263830310","venue":"arXiv (Cornell University)","work_id":"79360856-2bed-47fe-80b8-f52a71c8d2b4","year":2023},"citing_paper":{"arxiv_id":"2606.18237","last_updated":"2026-06-16T17:58:05Z","snapshot_observed_at":"2026-08-08T03:32:10.074754Z","submitted_at":"2026-06-16T17:58:05Z","title":"ReproRepo: Scaling Reproducibility Audits with GitHub Repository Issues","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T01:01:24.456670Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2606.18237"},"observation_digest":"sha256:782d95b5725367741ca3b3a9abfe11434e74eaafc3d036aaf7b8c6ab1947c3fd","observation_id":"c184dc36-7181-46db-9ef6-40af184246e7","resolution":{"observed_at":"2026-07-03T20:58:57.926512Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":"2306.00622","doi":"10.48550/arxiv.2306.00622","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"org/CorpusID:263830310","venue":"arXiv (Cornell University)","work_id":"79360856-2bed-47fe-80b8-f52a71c8d2b4","year":2023},"citing_paper":{"arxiv_id":"2606.21228","last_updated":"2026-06-23T04:40:39Z","snapshot_observed_at":"2026-08-02T19:24:45.644999Z","submitted_at":"2026-06-19T08:47:40Z","title":"Sakana Fugu Technical Report","version":2},"reference_index":151,"source":"arxiv_source","source_observed_at":"2026-06-26T14:22:37.596720Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2606.21228"},"observation_digest":"sha256:055657d2a311832349e670beb9f2ee5f2e35174afdf4e4d879791374960ad74d","observation_id":"79628527-336e-4230-b627-93832e94693e","resolution":{"observed_at":"2026-07-04T06:29:38.198990Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":"2306.00622","doi":"10.48550/arxiv.2306.00622","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"org/CorpusID:263830310","venue":"arXiv (Cornell University)","work_id":"79360856-2bed-47fe-80b8-f52a71c8d2b4","year":2023},"citing_paper":{"arxiv_id":"2606.24530","last_updated":"2026-07-06T16:56:53Z","snapshot_observed_at":"2026-07-12T12:32:23.590658Z","submitted_at":"2026-06-23T12:58:23Z","title":"NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-06-26T00:13:14.940915Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2606.24530"},"observation_digest":"sha256:36b198bc45c10ab36eedab35628213f8550f1eae9ea70235d8d19baf66cb4415","observation_id":"bb4a2352-61cc-4236-a6dd-ed370a064e69","resolution":{"observed_at":"2026-07-04T16:49:57.758615Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-07-12T12:32:39.706055Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.24530","last_updated":"2026-07-06T16:56:53Z","snapshot_observed_at":"2026-07-12T12:32:23.590658Z","submitted_at":"2026-06-23T12:58:23Z","title":"NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-07-12T12:32:39.706055Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2606.24530"},"observation_digest":"sha256:68cbcb9678733edb420ff00f0ac37eec7c47240ed0666dcbd59d50fd76d5179d","observation_id":"c875e44c-730a-4b77-9197-829737b75da4","resolution":{"observed_at":"2026-07-12T12:32:39.706055Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":"2306.00622","doi":"10.48550/arxiv.2306.00622","metadata_source":"arxiv_reference","pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"org/CorpusID:263830310","venue":"arXiv (Cornell University)","work_id":"79360856-2bed-47fe-80b8-f52a71c8d2b4","year":2023},"citing_paper":{"arxiv_id":"2607.01240","last_updated":"2026-07-29T08:28:56Z","snapshot_observed_at":"2026-08-05T14:37:14.330153Z","submitted_at":"2026-05-03T12:21:42Z","title":"Prompt Framing Distorts Count Based Evaluation of LLM Error Detection: Evidence from Numeric Anchoring","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-07-04T01:50:12.182981Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2607.01240"},"observation_digest":"sha256:9c6baa58e10c3e205d9b4cd7ab5a3dc29312d81f2df8f07658459e65bdaa3653","observation_id":"80e3f968-3ad2-4552-82d3-2c271e713e14","resolution":{"observed_at":"2026-07-04T01:59:24.759905Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-01T00:25:09.763300Z","title":"arXiv preprint arXiv:2306.00622 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27845","last_updated":"2026-07-30T08:24:58Z","snapshot_observed_at":"2026-08-04T22:41:28.482565Z","submitted_at":"2026-07-30T08:24:58Z","title":"AutoSupervision: Closing the Feedback Loop in Scientific Workflows with Grounded Revision Verification","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-01T00:25:09.763300Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2607.27845"},"observation_digest":"sha256:4127aa2f3dc9ae78924357b6a4796ded6abaf6fafe734eff659c2bab3c71139f","observation_id":"1842de19-41f2-4e4b-bdac-da9afebbda19","resolution":{"observed_at":"2026-08-01T00:25:09.763300Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00622","snapshot_observed_at":"2026-08-03T00:54:34.900318Z","title":"and Shah, N","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.28631","last_updated":"2026-04-18T21:20:13Z","snapshot_observed_at":"2026-08-07T23:12:58.323239Z","submitted_at":"2026-04-18T21:20:13Z","title":"Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T00:54:34.900318Z"},"links":{"cited_paper":"/paper/2306.00622","citing_paper":"/paper/2607.28631"},"observation_digest":"sha256:57add76b60358423c3602cc104c72b73e417b12a099ce135f55189a56423342e","observation_id":"856ba543-d7a2-4d26-bf19-60ee6784b964","resolution":{"observed_at":"2026-08-03T00:54:34.900318Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2306.00622/citation-record","integrity":"/paper/2306.00622/integrity","json":"/paper/2306.00622/citation-record.json","paper":"/paper/2306.00622"},"outbound":[],"paper":{"arxiv_id":"2306.00622","last_updated":"2023-06-01T12:45:53Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T01:45:46.706489Z","submitted_at":"2023-06-01T12:45:53Z","title":"ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2306.00622."}