{"as_of":"2026-08-19T06:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:83c561419e73992e0f6d4a25795790b084e9bfc34b94aa6618edf04a83982723","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":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":43,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:40:04.351703Z","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":16,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-12T18:14:35.171233Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.11736","last_updated":"2024-11-18T17:03:30Z","snapshot_observed_at":"2026-08-18T11:53:42.279213Z","submitted_at":"2024-11-18T17:03:30Z","title":"Advacheck at GenAI Detection Task 1: AI Detection Powered by Domain-Aware Multi-Tasking","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-12T18:14:35.171233Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2411.11736"},"observation_digest":"sha256:a6abb05d4781662819d3018aab71b795f47e5b8790c019d74b8e889cf28692ec","observation_id":"72994182-9915-4f7a-b10e-3af32e7c2bc2","resolution":{"observed_at":"2026-08-12T18:14:35.171233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-12T11:13:54.418964Z","title":"Spotting llms with binoculars: Zero-shot detection of machine-generated text.arXiv preprint arXiv:2401.12070, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.18479","last_updated":"2025-06-12T17:58:20Z","snapshot_observed_at":"2026-08-14T12:53:50.101382Z","submitted_at":"2024-11-27T16:22:33Z","title":"SoK: Watermarking for AI-Generated Content","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T11:13:54.418964Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2411.18479"},"observation_digest":"sha256:e3a1eb03272e0f7e246558f4e1474295577eb45362b1216d53b456d8cbe0ebe7","observation_id":"ac63835c-8896-419f-9bf9-8d4f8ac3c649","resolution":{"observed_at":"2026-08-12T11:13:54.418964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-11T20:56:40.839202Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05139","last_updated":"2025-02-09T16:59:44Z","snapshot_observed_at":"2026-08-14T11:26:41.755989Z","submitted_at":"2024-12-06T15:56:11Z","title":"A Practical Examination of AI-Generated Text Detectors for Large Language Models","version":4},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T20:56:40.839202Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2412.05139"},"observation_digest":"sha256:f45a84bd7c4740461488ff4e0c65381d6dab0bc25099fa441f3469481bcc4945","observation_id":"eba0db9e-c1e1-4c40-b4de-9a1bde42d371","resolution":{"observed_at":"2026-08-11T20:56:40.839202Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-12T00:03:53.744411Z","title":"Spotting llms with binoculars: Zero-shot detection of machine-generated text, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.12121","last_updated":"2024-12-02T22:10:38Z","snapshot_observed_at":"2026-08-18T01:59:36.001783Z","submitted_at":"2024-12-02T22:10:38Z","title":"NLLG Quarterly arXiv Report 09/24: What are the most influential current AI Papers?","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T00:03:53.744411Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2412.12121"},"observation_digest":"sha256:95ce5f64f193ebefeb175db4d7c1af10f78f22962e27a2a6f4673ed1f1601a11","observation_id":"2b62754c-8a6a-4007-a30e-6d4873be37bc","resolution":{"observed_at":"2026-08-12T00:03:53.744411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-11T12:58:26.868131Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.13666","last_updated":"2025-07-25T06:20:38Z","snapshot_observed_at":"2026-08-15T15:33:00.755397Z","submitted_at":"2024-12-18T09:48:53Z","title":"Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T12:58:26.868131Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2412.13666"},"observation_digest":"sha256:5541ba7fa4d41bd5ce186e5ee38844961f14e75e9dac69551de761faf62e0f3f","observation_id":"f2f2966a-6200-4fb8-8488-cf58e65f4d52","resolution":{"observed_at":"2026-08-11T12:58:26.868131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-10T21:55:52.731676Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.03437","last_updated":"2025-01-06T23:43:49Z","snapshot_observed_at":"2026-08-16T23:48:49.061560Z","submitted_at":"2025-01-06T23:43:49Z","title":"DAMAGE: Detecting Adversarially Modified AI Generated Text","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T21:55:52.731676Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2501.03437"},"observation_digest":"sha256:64753b97a2d8ff42818cdba2ccffb8e1bb0ae276b2021e9ca1fea209f6760dcc","observation_id":"7c541470-6b96-435a-b4c4-772c288400e3","resolution":{"observed_at":"2026-08-10T21:55:52.731676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-10T20:18:47.270433Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.08913","last_updated":"2025-01-15T16:21:09Z","snapshot_observed_at":"2026-08-15T15:57:39.209666Z","submitted_at":"2025-01-15T16:21:09Z","title":"GenAI Content Detection Task 3: Cross-Domain Machine-Generated Text Detection Challenge","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T20:18:47.270433Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2501.08913"},"observation_digest":"sha256:9f31f75d0a3e96ee09a621236ff62e3cf6e207d98a19aa01c17455ce81f691a5","observation_id":"a53d9a3a-868e-4e21-ab5e-d08324bcfb34","resolution":{"observed_at":"2026-08-10T20:18:47.270433Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-10T18:48:02.307249Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.11012","last_updated":"2025-02-22T12:49:12Z","snapshot_observed_at":"2026-08-14T21:20:32.782460Z","submitted_at":"2025-01-19T11:11:55Z","title":"GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T18:48:02.307249Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2501.11012"},"observation_digest":"sha256:a1dc0db66dcde918000657ff2eb0e2b3c627dc20d28dca3313496b1e8c62de87","observation_id":"848121df-ad5f-47ad-b10d-4aaa59ce932a","resolution":{"observed_at":"2026-08-10T18:48:02.307249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-10T17:47:25.357943Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.11918","last_updated":"2025-01-21T06:46:55Z","snapshot_observed_at":"2026-08-14T18:54:44.224954Z","submitted_at":"2025-01-21T06:46:55Z","title":"LuxVeri at GenAI Detection Task 3: Cross-Domain Detection of AI-Generated Text Using Inverse Perplexity-Weighted Ensemble of Fine-Tuned Transformer Models","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T17:47:25.357943Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2501.11918"},"observation_digest":"sha256:3a7c42509638b42cce9e42b755a6bf0b807e35991c78538f39951bcc490cd6ce","observation_id":"551c2c40-fd0e-4180-b71f-bd48a794fd4e","resolution":{"observed_at":"2026-08-10T17:47:25.357943Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-07T20:54:17.440957Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.09606","last_updated":"2025-02-17T18:48:26Z","snapshot_observed_at":"2026-08-17T03:55:36.832788Z","submitted_at":"2025-02-13T18:55:56Z","title":"Human-LLM Coevolution: Evidence from Academic Writing","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T20:54:17.440957Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2502.09606"},"observation_digest":"sha256:8badd53beb471c52bd3b843068150701857f5f5c8cb219c1475303c9d2823fdd","observation_id":"dfccf8b6-800d-49c1-b43f-ee87165306ba","resolution":{"observed_at":"2026-08-07T20:54:17.440957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2502.11336","last_updated":"2026-05-05T14:15:33Z","snapshot_observed_at":"2026-08-16T15:59:27.805712Z","submitted_at":"2025-02-17T01:15:07Z","title":"ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-23T03:27:02.516990Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2502.11336"},"observation_digest":"sha256:ddc8c559a0f83fc8d68c2b7966af908743136a67456a616b99f43eecee3ebf02","observation_id":"f1c267a0-f464-44b6-bd40-e85073ec3d80","resolution":{"observed_at":"2026-05-23T03:27:26.939418Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-16T12:40:04.351703Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12229","last_updated":"2025-04-16T16:25:26Z","snapshot_observed_at":"2026-08-18T22:20:46.905939Z","submitted_at":"2025-04-16T16:25:26Z","title":"Watermarking Needs Input Repetition Masking","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-16T12:40:04.351703Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2504.12229"},"observation_digest":"sha256:f37e53bf4677d084c7ca47c49052efd89f4fb0ec7d53030060e95cc9c8681b86","observation_id":"3f866cbc-a6d4-42a2-acc7-ecd40d01d038","resolution":{"observed_at":"2026-08-16T12:40:04.351703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-16T10:54:25.018067Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.16913","last_updated":"2025-04-23T17:39:49Z","snapshot_observed_at":"2026-08-18T11:53:41.112134Z","submitted_at":"2025-04-23T17:39:49Z","title":"Tracing Thought: Using Chain-of-Thought Reasoning to Identify the LLM Behind AI-Generated Text","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T10:54:25.018067Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2504.16913"},"observation_digest":"sha256:dd6e98f95fd3492ee9629e3ea2d2c295805ba34cf3a288db16e1069fa45ac399","observation_id":"6cb6c466-46d9-4673-ba0d-af86b51380dc","resolution":{"observed_at":"2026-08-16T10:54:25.018067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-07T15:37:12.840673Z","title":"Julian Hazell","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.14608","last_updated":"2026-06-08T19:42:11Z","snapshot_observed_at":"2026-08-16T05:15:13.073882Z","submitted_at":"2025-05-20T16:55:44Z","title":"Attacks on Machine-Text Detectors Retain Stylistic Fingerprints","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T15:37:12.840673Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2505.14608"},"observation_digest":"sha256:399e3b10129be877379ca6f625d92ed970ebb557bb90e253089622e6a6e78c17","observation_id":"5e810183-8484-44d0-8aa4-998f64f2d9ea","resolution":{"observed_at":"2026-08-07T15:37:12.840673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-07T14:55:16.477644Z","title":"arXiv:2401.12070 [cs]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.17327","last_updated":"2025-05-22T22:44:27Z","snapshot_observed_at":"2026-08-18T11:53:39.058122Z","submitted_at":"2025-05-22T22:44:27Z","title":"GPT Editors, Not Authors: The Stylistic Footprint of LLMs in Academic Preprints","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:55:16.477644Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2505.17327"},"observation_digest":"sha256:39672f1e08777db3470370d83e888ddfe5ac2927711bdd61874232e791c747fc","observation_id":"4268ac7b-ede7-474b-bdb5-06313ce31ea3","resolution":{"observed_at":"2026-08-07T14:55:16.477644Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-07T12:35:26.477718Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24523","last_updated":"2025-05-30T12:33:30Z","snapshot_observed_at":"2026-08-16T22:08:02.161722Z","submitted_at":"2025-05-30T12:33:30Z","title":"Stress-testing Machine Generated Text Detection: Shifting Language Models Writing Style to Fool Detectors","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:26.477718Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2505.24523"},"observation_digest":"sha256:f82ea858dce4df9914c0df677a8eb058042c22e154a014376f10b586e8b68f7a","observation_id":"d13997b4-07e0-4273-b7eb-44576569f2ab","resolution":{"observed_at":"2026-08-07T12:35:26.477718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-06T23:58:06.987287Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.15683","last_updated":"2025-06-18T17:59:58Z","snapshot_observed_at":"2026-08-14T11:27:12.079694Z","submitted_at":"2025-06-18T17:59:58Z","title":"PhantomHunter: Detecting Unseen Privately-Tuned LLM-Generated Text via Family-Aware Learning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T23:58:06.987287Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2506.15683"},"observation_digest":"sha256:550ce7a00f87ec457c522cb82930a85425218e4fc7419042eb86e8ada23dd437","observation_id":"d4bab125-64e0-4165-8dca-03fe3b974f63","resolution":{"observed_at":"2026-08-06T23:58:06.987287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-06T20:20:02.958331Z","title":"Hiroaki Hayashi, Prashant Budania, Peng Wang, Chris Ackerson, Raj Neervannan, and Graham Neubig","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.03373","last_updated":"2026-06-03T08:51:02Z","snapshot_observed_at":"2026-08-18T11:53:43.689482Z","submitted_at":"2025-07-04T08:13:10Z","title":"WETBench: A Benchmark for Detecting Task-Specific Machine-Generated Text on Wikipedia","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:20:02.958331Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2507.03373"},"observation_digest":"sha256:2bb923b3201ba2899b831fe18035727bae98a1dc0ea9e0163dcd3fa437bdde14","observation_id":"a5ae9b16-4bae-46f9-9ff9-0b87089c4a67","resolution":{"observed_at":"2026-08-06T20:20:02.958331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T12:26:31.083936Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.01620","last_updated":"2025-09-01T17:01:45Z","snapshot_observed_at":"2026-08-15T20:53:36.715351Z","submitted_at":"2025-09-01T17:01:45Z","title":"Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T12:26:31.083936Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2509.01620"},"observation_digest":"sha256:86c25d5f5aa94a6ea7358d20e2f112ba4ab8b65e2be0c41d87ab6ab14601dd88","observation_id":"c3b73c9c-2881-4af1-97ed-57afff6ed12f","resolution":{"observed_at":"2026-08-05T12:26:31.083936Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-15T15:55:29.399634Z","title":"Spotting llms with binoculars: Zero-shot detection of machine-generated text","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.21160","last_updated":"2026-07-08T16:16:06Z","snapshot_observed_at":"2026-08-15T21:50:57.399397Z","submitted_at":"2025-09-25T13:44:34Z","title":"Fast segmentation of watermarked texts from large language models through an epidemic change-point framework","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-15T15:55:29.399634Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2509.21160"},"observation_digest":"sha256:aea14aa678674b6de561ce5bbf1c38d0439237b21f2ddbc2c34707e4e7f121eb","observation_id":"0f5d0d9b-0ded-46bc-a5b2-a700a05b542a","resolution":{"observed_at":"2026-08-15T15:55:29.399634Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2509.22055","last_updated":"2026-04-11T08:49:59Z","snapshot_observed_at":"2026-08-13T02:10:16.582935Z","submitted_at":"2025-09-26T08:36:45Z","title":"RedNote-Vibe: A Dataset for Capturing Temporal Dynamics of AI-Generated Text in Lifestyle Social Media","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-18T13:46:48.348859Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2509.22055"},"observation_digest":"sha256:21d92294d1e1beb7e8e1e8aa600d153ab74fb38736bd3186d5d7e42862a59a7c","observation_id":"e5bbba90-adfb-44bb-b22f-ab5de5fe3e89","resolution":{"observed_at":"2026-05-18T13:51:26.156042Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-04T08:03:27.782374Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.22874","last_updated":"2026-05-25T05:53:42Z","snapshot_observed_at":"2026-08-17T22:31:19.180127Z","submitted_at":"2025-10-26T23:50:52Z","title":"A Comprehensive Dataset for Human vs. AI Generated Text Detection","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T08:03:27.782374Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2510.22874"},"observation_digest":"sha256:6704f2cf7d07c9b532ee1bf78465000c4f1cc55cc46d15e7d6489b9d19bba9b5","observation_id":"2ee24390-a711-45bb-91e0-af0dd9059ea3","resolution":{"observed_at":"2026-08-04T08:03:27.782374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-04T00:27:26.971700Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.01192","last_updated":"2026-06-03T05:41:12Z","snapshot_observed_at":"2026-08-18T11:53:43.782348Z","submitted_at":"2025-11-03T03:36:48Z","title":"DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-04T00:27:26.971700Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2511.01192"},"observation_digest":"sha256:6e1da65db931e0ceedada891e20fa008685348cad34dbfb1439645a46fa5dfa3","observation_id":"1aa7ebe8-37b0-4405-9c00-014b6e3336f1","resolution":{"observed_at":"2026-08-04T00:27:26.971700Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-03T12:01:31.504598Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04633","last_updated":"2026-05-28T02:41:08Z","snapshot_observed_at":"2026-08-18T14:02:08.475662Z","submitted_at":"2026-01-08T06:07:07Z","title":"MAGA-Bench: Machine-Augment-Generated Text via Alignment Detection Benchmark","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-03T12:01:31.504598Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2601.04633"},"observation_digest":"sha256:e7f90a52097cbd793f659252d1c306091764cb2c0a8e3996f80d04b1e09d7d67","observation_id":"7214747e-3066-4d0d-a2bc-4bc3f171cbf0","resolution":{"observed_at":"2026-08-03T12:01:31.504598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-03T12:05:35.578024Z","title":"Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, and Yang Zhang","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.04641","last_updated":"2026-07-28T20:47:49Z","snapshot_observed_at":"2026-08-17T19:36:25.102762Z","submitted_at":"2026-01-08T06:33:15Z","title":"DP-MGTD: Privacy-Preserving Machine-Generated Text Detection via Adaptive Differentially Private Entity Sanitization","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T12:05:35.578024Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2601.04641"},"observation_digest":"sha256:4585d21bda743a8165ac5513b18f53776f9b4f92017d56fe440fda3a3fed351e","observation_id":"184dcc59-4628-4237-9e53-32143bed4045","resolution":{"observed_at":"2026-08-03T12:05:35.578024Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2604.26965","last_updated":"2026-04-14T16:06:14Z","snapshot_observed_at":"2026-07-06T23:12:29.385105Z","submitted_at":"2026-04-14T16:06:14Z","title":"The Impact of AI-Generated Text on the Internet","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T14:01:29.175202Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2604.26965"},"observation_digest":"sha256:e32019c65a95f1f814b643525b5f8100c00a5f2564841e705f2a251707edf42f","observation_id":"1197c195-aa8e-4c36-a760-fc4e4e52d2ab","resolution":{"observed_at":"2026-05-10T14:05:29.809426Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2605.12890","last_updated":"2026-05-13T02:14:21Z","snapshot_observed_at":"2026-07-06T23:24:32.412966Z","submitted_at":"2026-05-13T02:14:21Z","title":"Steer-to-Detect: Probing Hidden Representations for Detection of LLM-Generated Texts","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-30T21:53:20.873904Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2605.12890"},"observation_digest":"sha256:0234c0b2cf3370883b66c7df4acf873cbbb2da96db742e0c1561219278020c51","observation_id":"2a9870d1-5b23-4030-8664-9ff3eceb9d5f","resolution":{"observed_at":"2026-06-30T21:55:05.759469Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2605.14240","last_updated":"2026-05-14T01:12:34Z","snapshot_observed_at":"2026-08-16T23:26:47.440214Z","submitted_at":"2026-05-14T01:12:34Z","title":"Paraphrasing Attack Resilience of Various AI-Generated Text Detection Methods","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-15T01:35:40.142917Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2605.14240"},"observation_digest":"sha256:801fa7db644410cb2499ebb4fae8b3ca1e1c8cfed34c5f219f4af01673bffd77","observation_id":"e46d10d2-6b24-4426-90bf-b96aebc54af2","resolution":{"observed_at":"2026-05-15T01:38:27.635529Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2605.16471","last_updated":"2026-05-15T13:53:02Z","snapshot_observed_at":"2026-08-14T00:09:46.311940Z","submitted_at":"2026-05-15T13:53:02Z","title":"From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-20T18:08:24.901025Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2605.16471"},"observation_digest":"sha256:56c62087a91ecd2e1a77e4c5cd5f1cfe8ebb0afa86657bf61bb992b9ebb1d195","observation_id":"0a3c60d0-4911-4dcd-a588-2a8077d35afe","resolution":{"observed_at":"2026-05-20T18:08:50.648293Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2605.19516","last_updated":"2026-05-19T08:13:12Z","snapshot_observed_at":"2026-08-16T21:25:46.899202Z","submitted_at":"2026-05-19T08:13:12Z","title":"Base Models Look Human To AI Detectors","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-20T06:13:10.815204Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2605.19516"},"observation_digest":"sha256:cba7bccfa165c8e2ca14c5e1c3eedde5aab3aa45392b187e84089db16b0cbeed","observation_id":"2b3f64e0-f435-4b57-8ff1-4b1d0f115499","resolution":{"observed_at":"2026-05-20T06:13:22.499085Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2605.20761","last_updated":"2026-05-25T09:02:56Z","snapshot_observed_at":"2026-08-17T23:11:49.924354Z","submitted_at":"2026-05-20T06:01:17Z","title":"Findings of the Counter Turing Test: AI-Generated Text Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-21T05:27:40.931842Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2605.20761"},"observation_digest":"sha256:cbed392756872657f8eb37fd250761994069ba91fa49fe27800c8d1cfd79f478","observation_id":"00cdc45f-86bd-45fd-ba2e-7652a0a56682","resolution":{"observed_at":"2026-05-21T05:29:39.524466Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2605.20761","last_updated":"2026-05-25T09:02:56Z","snapshot_observed_at":"2026-08-17T23:11:49.924354Z","submitted_at":"2026-05-20T06:01:17Z","title":"Findings of the Counter Turing Test: AI-Generated Text Detection","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-30T17:32:43.664618Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2605.20761"},"observation_digest":"sha256:b2044bdb7370159092f4ff5e6fc264c6ce323ccc7a3d29768b9ad2c0b4f4d4c4","observation_id":"030d271f-5045-44a1-9103-9683362056a7","resolution":{"observed_at":"2026-06-30T17:34:57.486937Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2605.22654","last_updated":"2026-05-21T15:57:04Z","snapshot_observed_at":"2026-08-18T15:11:32.041149Z","submitted_at":"2026-05-21T15:57:04Z","title":"Seeing the Poem: Image-Semantic Detection of AI-Generated Modern Chinese Poetry with MLLMs","version":1},"reference_index":107,"source":"arxiv_source","source_observed_at":"2026-05-22T05:41:37.202937Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2605.22654"},"observation_digest":"sha256:fab3359c043d49392f822fa1e1abe24228805a3843d993c6a332651d74dd5c59","observation_id":"e63f8836-17f2-4bce-bfdd-74858648327c","resolution":{"observed_at":"2026-05-22T05:44:38.843156Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-07-12T21:39:23.683913Z","title":"Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, and Yang Zhang","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.00016","last_updated":"2026-04-13T19:30:40Z","snapshot_observed_at":"2026-08-12T18:54:22.224227Z","submitted_at":"2026-04-13T19:30:40Z","title":"AEyeDE: An Attention-Based Attribution Framework for AI-Generated Text Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-12T21:39:23.683913Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2606.00016"},"observation_digest":"sha256:61144dd365a10c2be17c82f322b9acb5d42c2a061eaf497ac070ff669fe7672c","observation_id":"f96efe37-4c06-480b-8fae-bbdabb6279b5","resolution":{"observed_at":"2026-07-12T21:39:23.683913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2606.00392","last_updated":"2026-05-29T22:19:28Z","snapshot_observed_at":"2026-08-13T12:32:33.073003Z","submitted_at":"2026-05-29T22:19:28Z","title":"Detector-Evasive LLM Paraphrasing via Constrained Policy Optimization","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-06-28T23:05:48.770663Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2606.00392"},"observation_digest":"sha256:656f21adb369fa932ddafe907ba62ef4084574ebd1350a88a5d45c195cf3eb77","observation_id":"c64a25ff-b5c4-40db-9164-0a58a9ac870e","resolution":{"observed_at":"2026-06-29T00:22:51.925478Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2606.00545","last_updated":"2026-05-30T05:33:13Z","snapshot_observed_at":"2026-08-06T11:13:00.068383Z","submitted_at":"2026-05-30T05:33:13Z","title":"The Assistant as a Privileged Persona: A canonical reference in cross-persona self-recognition","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-28T19:34:27.009061Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2606.00545"},"observation_digest":"sha256:474e44342b2893fd327cf1f6a24a1dbc8a2bb92d502b605da413852e8a032dbc","observation_id":"03723b80-0851-4cee-8c78-c3509c9c7cd3","resolution":{"observed_at":"2026-06-28T19:42:35.848014Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2606.03330","last_updated":"2026-06-02T08:39:50Z","snapshot_observed_at":"2026-08-02T20:44:01.368085Z","submitted_at":"2026-06-02T08:39:50Z","title":"FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-06-28T11:24:01.547119Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2606.03330"},"observation_digest":"sha256:58c5d8151a1c38cfd287ff1c32a87972621ff60ca74d6ee61b43564cfdb2026b","observation_id":"b2b9347b-5715-4e5c-8ed9-e9e396b4b74b","resolution":{"observed_at":"2026-07-02T01:56:27.968032Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2606.04205","last_updated":"2026-06-02T20:49:20Z","snapshot_observed_at":"2026-08-15T07:29:39.967927Z","submitted_at":"2026-06-02T20:49:20Z","title":"DetectZoo: A Unified Toolkit for AI-Generated Content Detection Across Text, Audio, and Image Modalities","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-28T07:07:33.410608Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2606.04205"},"observation_digest":"sha256:e7ad747411a944f3275b1e0ceaa6c5dd4c9b4a0f5cd2e72fd65252360927a373","observation_id":"c2c5bf3e-92df-4dba-97ee-dd2aaaf421bb","resolution":{"observed_at":"2026-07-02T07:06:44.556301Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2606.07313","last_updated":"2026-06-05T14:34:37Z","snapshot_observed_at":"2026-08-14T11:47:58.541040Z","submitted_at":"2026-06-05T14:34:37Z","title":"SV-Detect: AI-generated Text Detection with Steering Vectors","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-06-27T22:16:31.088030Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2606.07313"},"observation_digest":"sha256:908d4028a239bf5a39644a351105cfa89b782a73d8f87f266b4d04d8630a824b","observation_id":"f1c9b52a-e9c2-44c6-a54a-ccb6db3241d0","resolution":{"observed_at":"2026-06-27T22:21:21.131829Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2606.13227","last_updated":"2026-08-06T07:22:09Z","snapshot_observed_at":"2026-08-09T23:09:47.165775Z","submitted_at":"2026-06-11T11:41:07Z","title":"PolyAlign: Conditional Human-Distribution Alignment","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-06-27T06:38:55.992652Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2606.13227"},"observation_digest":"sha256:aef56515020d5101020e71cc0ee28f79ee80394c8418185031ca0a659462af75","observation_id":"893835cb-73fb-4e01-a24c-1f58c7170cea","resolution":{"observed_at":"2026-07-03T15:08:33.615743Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2606.22454","last_updated":"2026-06-21T11:57:16Z","snapshot_observed_at":"2026-08-08T08:49:47.441543Z","submitted_at":"2026-06-21T11:57:16Z","title":"CASPER in the Machine: Insights into Character Variety in LLM-Generated Stories","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T10:44:08.377664Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2606.22454"},"observation_digest":"sha256:6dd05851c80dae183e259ad9d20660c0c3b62e7d48514b49455f859fc897da4e","observation_id":"2b768b64-f7fd-43d4-9b8b-e89c92ec5353","resolution":{"observed_at":"2026-07-04T08:59:42.627453Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":"2401.12070","doi":"10.48550/arxiv.2401.12070","metadata_source":"arxiv_reference","pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2401.12070 , url=","venue":"arXiv (Cornell University)","work_id":"4e95670f-355f-4cfb-afa8-f1a708ad2457","year":2024},"citing_paper":{"arxiv_id":"2606.25152","last_updated":"2026-06-23T20:37:18Z","snapshot_observed_at":"2026-08-06T11:15:36.198311Z","submitted_at":"2026-06-23T20:37:18Z","title":"Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-06-25T23:31:35.874733Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2606.25152"},"observation_digest":"sha256:8b13893818ee1c4667a4f1b0e6310060222007c89fac06f9c1d0f4543100a8a4","observation_id":"b7fb4243-eaa6-4203-8301-0a05259ff633","resolution":{"observed_at":"2026-07-04T17:40:00.583376Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12070","snapshot_observed_at":"2026-08-02T04:51:20.582154Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13565","last_updated":"2026-07-15T08:05:00Z","snapshot_observed_at":"2026-08-17T17:43:56.512432Z","submitted_at":"2026-07-15T08:05:00Z","title":"UTS at ELOQUENT 2026 Voight-Kampff: structural shifts in AI writing bypass state-of-the-art detectors","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T04:51:20.582154Z"},"links":{"cited_paper":"/paper/2401.12070","citing_paper":"/paper/2607.13565"},"observation_digest":"sha256:173dde55cf2d37bdcba6718e5f42ad07ef11131e9bd500ef6f10306e6fae72a9","observation_id":"d2507e9c-6c94-4b6a-b086-3acb1f14257c","resolution":{"observed_at":"2026-08-02T04:51:20.582154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.12070/citation-record","integrity":"/paper/2401.12070/integrity","json":"/paper/2401.12070/citation-record.json","paper":"/paper/2401.12070"},"outbound":[],"paper":{"arxiv_id":"2401.12070","last_updated":"2024-10-13T19:12:59Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T11:53:15.994934Z","submitted_at":"2024-01-22T16:09:47Z","title":"Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 43 inbound Pith citation observations for arXiv:2401.12070."}