{"as_of":"2026-08-21T07:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f4fe55c5184be15f7134837ec43b08c1bde7ca9cea2c6436f2a323e4a1fd468a","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T19:15:15.029966Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-22T18:44:28.806625Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2011.01314","last_updated":"2020-11-02T20:59:26Z","snapshot_observed_at":"2026-08-16T19:08:37.047388Z","submitted_at":"2020-11-02T20:59:26Z","title":"Automatic Detection of Machine Generated Text: A Critical Survey","version":1},"cited_work":{"arxiv_id":"2011.01314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2011.01314","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Jawahar, G., Abdul-Mageed, M., and Lakshmanan, L","venue":null,"work_id":"4ea59dc6-153f-46a2-8589-0c744678c2bf","year":2011},"citing_paper":{"arxiv_id":"2112.04359","last_updated":"2021-12-08T16:09:48Z","snapshot_observed_at":"2026-08-09T15:17:43.394064Z","submitted_at":"2021-12-08T16:09:48Z","title":"Ethical and social risks of harm from Language Models","version":1},"reference_index":130,"source":"arxiv_source","source_observed_at":"2026-05-11T18:24:28.835688Z"},"links":{"cited_paper":"/paper/2011.01314","citing_paper":"/paper/2112.04359"},"observation_digest":"sha256:c2ec5a07aa6c096c246b264b7ec8a13b207aba9b1e6b83ac61668bca12f0caa1","observation_id":"d7c6ecbf-562b-4cd6-98f4-b858c51964b8","resolution":{"observed_at":"2026-05-11T18:24:30.355474Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.01314","last_updated":"2020-11-02T20:59:26Z","snapshot_observed_at":"2026-08-16T19:08:37.047388Z","submitted_at":"2020-11-02T20:59:26Z","title":"Automatic Detection of Machine Generated Text: A Critical Survey","version":1},"cited_work":{"arxiv_id":"2011.01314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2011.01314","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Jawahar, G., Abdul-Mageed, M., and Lakshmanan, L","venue":null,"work_id":"4ea59dc6-153f-46a2-8589-0c744678c2bf","year":2011},"citing_paper":{"arxiv_id":"2303.11156","last_updated":"2025-01-17T04:21:47Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-17T17:53:19Z","title":"Can AI-Generated Text be Reliably Detected?","version":4},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-05-20T19:29:45.315242Z"},"links":{"cited_paper":"/paper/2011.01314","citing_paper":"/paper/2303.11156"},"observation_digest":"sha256:1ff3b3bfbdddbc68ff97f31516268b76f28be38c78e20a2094b23833db61a455","observation_id":"4602f04d-8776-461f-a41d-bbcd1a4bdec4","resolution":{"observed_at":"2026-05-20T19:29:45.449730Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.01314","last_updated":"2020-11-02T20:59:26Z","snapshot_observed_at":"2026-08-16T19:08:37.047388Z","submitted_at":"2020-11-02T20:59:26Z","title":"Automatic Detection of Machine Generated Text: A Critical Survey","version":1},"cited_work":{"arxiv_id":"2011.01314","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2011.01314","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Jawahar, G., Abdul-Mageed, M., and Lakshmanan, L","venue":null,"work_id":"4ea59dc6-153f-46a2-8589-0c744678c2bf","year":2011},"citing_paper":{"arxiv_id":"2404.13076","last_updated":"2024-04-15T16:49:59Z","snapshot_observed_at":"2026-08-18T02:44:37.072871Z","submitted_at":"2024-04-15T16:49:59Z","title":"LLM Evaluators Recognize and Favor Their Own Generations","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-22T18:44:28.766639Z"},"links":{"cited_paper":"/paper/2011.01314","citing_paper":"/paper/2404.13076"},"observation_digest":"sha256:3f6a83c8c4fe8a44d4c18215a56716d97e5983c8327a7173ff117eddf9c9beb6","observation_id":"54824b3e-a20f-4d0c-b65f-0cc98bde91f4","resolution":{"observed_at":"2026-05-22T18:44:28.809325Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.01314","last_updated":"2020-11-02T20:59:26Z","snapshot_observed_at":"2026-08-16T19:08:37.047388Z","submitted_at":"2020-11-02T20:59:26Z","title":"Automatic Detection of Machine Generated Text: A Critical Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.01314","snapshot_observed_at":"2026-08-12T10:09:20.809761Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.19563","last_updated":"2025-06-17T10:36:46Z","snapshot_observed_at":"2026-08-19T18:08:02.730930Z","submitted_at":"2024-11-29T09:18:32Z","title":"Ensemble Watermarks for Large Language Models","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-12T10:09:20.809761Z"},"links":{"cited_paper":"/paper/2011.01314","citing_paper":"/paper/2411.19563"},"observation_digest":"sha256:956ad4d13d5d32807782d8d5f079090a526fb935aaf957ada80be5196981e5ad","observation_id":"f1c32c86-2bc2-4269-a6f9-135ef3937f4e","resolution":{"observed_at":"2026-08-12T10:09:20.809761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.01314","last_updated":"2020-11-02T20:59:26Z","snapshot_observed_at":"2026-08-16T19:08:37.047388Z","submitted_at":"2020-11-02T20:59:26Z","title":"Automatic Detection of Machine Generated Text: A Critical Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.01314","snapshot_observed_at":"2026-08-11T15:17:36.547215Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.15253","last_updated":"2024-12-15T12:46:57Z","snapshot_observed_at":"2026-08-19T02:46:43.580214Z","submitted_at":"2024-12-15T12:46:57Z","title":"Using Machine Learning to Distinguish Human-written from Machine-generated Creative Fiction","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T15:17:36.547215Z"},"links":{"cited_paper":"/paper/2011.01314","citing_paper":"/paper/2412.15253"},"observation_digest":"sha256:754d25f613ebe090df4aa05eca249ced9be4c82ac75e062beb56f808d7a75ea7","observation_id":"88d417b2-bc37-4ee9-bbc6-58aecbf6fee1","resolution":{"observed_at":"2026-08-11T15:17:36.547215Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.01314","last_updated":"2020-11-02T20:59:26Z","snapshot_observed_at":"2026-08-16T19:08:37.047388Z","submitted_at":"2020-11-02T20:59:26Z","title":"Automatic Detection of Machine Generated Text: A Critical Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.01314","snapshot_observed_at":"2026-08-10T17:36:52.787164Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2501.12174","last_updated":"2025-05-21T11:32:17Z","snapshot_observed_at":"2026-08-18T23:37:14.131291Z","submitted_at":"2025-01-21T14:32:50Z","title":"BiMarker: Enhancing Text Watermark Detection for Large Language Models with Bipolar Watermarks","version":6},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T17:36:52.787164Z"},"links":{"cited_paper":"/paper/2011.01314","citing_paper":"/paper/2501.12174"},"observation_digest":"sha256:280e43360d35e44ea9ba802edd8c7c7259654fd84d660c20c696ea5625d70d06","observation_id":"eaabdaaf-59eb-4bd3-844a-773cd9cf2365","resolution":{"observed_at":"2026-08-10T17:36:52.787164Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.01314","last_updated":"2020-11-02T20:59:26Z","snapshot_observed_at":"2026-08-16T19:08:37.047388Z","submitted_at":"2020-11-02T20:59:26Z","title":"Automatic Detection of Machine Generated Text: A Critical Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.01314","snapshot_observed_at":"2026-08-15T19:15:15.029966Z","title":"Automatic detection of machine generated text: A critical survey.arXiv preprint arXiv:2011.01314, 2020","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.17467","last_updated":"2026-07-31T16:38:52Z","snapshot_observed_at":"2026-08-19T18:08:05.085010Z","submitted_at":"2025-06-20T20:15:09Z","title":"Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-15T19:15:15.029966Z"},"links":{"cited_paper":"/paper/2011.01314","citing_paper":"/paper/2506.17467"},"observation_digest":"sha256:03321de2dc22481f6316da46c4fff7ad98b86dec702164d614d8847c6925c3e4","observation_id":"89a0642a-10b6-4c89-bd59-9989993e0020","resolution":{"observed_at":"2026-08-15T19:15:15.029966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.01314","last_updated":"2020-11-02T20:59:26Z","snapshot_observed_at":"2026-08-16T19:08:37.047388Z","submitted_at":"2020-11-02T20:59:26Z","title":"Automatic Detection of Machine Generated Text: A Critical Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.01314","snapshot_observed_at":"2026-08-05T18:45:34.030603Z","title":"arXiv preprint arXiv:2011.01314 (2020)","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2508.14183","last_updated":"2025-08-19T18:17:14Z","snapshot_observed_at":"2026-08-17T13:02:17.750912Z","submitted_at":"2025-08-19T18:17:14Z","title":"Relativistic Quantum Thermal Machine: Harnessing Relativistic Effects to Surpass Carnot Efficiency","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T18:45:34.030603Z"},"links":{"cited_paper":"/paper/2011.01314","citing_paper":"/paper/2508.14183"},"observation_digest":"sha256:c2325be9b05fd65785a57e3e00b87a1f1cbcc7a3e3d90d51b5e040701e10247d","observation_id":"f23d42f0-4df7-42ee-a0a3-da164069a97e","resolution":{"observed_at":"2026-08-05T18:45:34.030603Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2011.01314","last_updated":"2020-11-02T20:59:26Z","snapshot_observed_at":"2026-08-16T19:08:37.047388Z","submitted_at":"2020-11-02T20:59:26Z","title":"Automatic Detection of Machine Generated Text: A Critical Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.01314","snapshot_observed_at":"2026-08-05T13:22:08.138475Z","title":"Automatic detection of machine generated text: A critical survey","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2509.00731","last_updated":"2025-08-31T07:51:22Z","snapshot_observed_at":"2026-08-17T01:22:25.095597Z","submitted_at":"2025-08-31T07:51:22Z","title":"LLM Encoder vs. Decoder: Robust Detection of Chinese AI-Generated Text with LoRA","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T13:22:08.138475Z"},"links":{"cited_paper":"/paper/2011.01314","citing_paper":"/paper/2509.00731"},"observation_digest":"sha256:0f48642f11dbca926f7ae93a3e1e0b8c45ae4c1aedb3ce942bb9157351e1bc14","observation_id":"627e1af5-0947-48a3-a99b-7b7c88e65ff7","resolution":{"observed_at":"2026-08-05T13:22:08.138475Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2011.01314/citation-record","integrity":"/paper/2011.01314/integrity","json":"/paper/2011.01314/citation-record.json","paper":"/paper/2011.01314"},"outbound":[],"paper":{"arxiv_id":"2011.01314","last_updated":"2020-11-02T20:59:26Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T19:08:37.047388Z","submitted_at":"2020-11-02T20:59:26Z","title":"Automatic Detection of Machine Generated Text: A Critical Survey"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2011.01314."}