{"as_of":"2026-08-18T00:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1c604ba835eb14252695faa0f055e50db7dcd750e86804fe7aec4b73cb21f9e1","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:08:39.229095Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2504.13629/citation-record","integrity":"/paper/2504.13629/integrity","json":"/paper/2504.13629/citation-record.json","paper":"/paper/2504.13629"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.04736","last_updated":"2023-10-02T20:56:35Z","snapshot_observed_at":"2026-08-16T15:41:31.123076Z","submitted_at":"2023-04-10T17:47:39Z","title":"On the Possibilities of AI-Generated Text Detection","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.04736","snapshot_observed_at":"2026-08-16T12:08:38.678067Z","title":"On the possibilities of ai-generated text detection","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:38.678067Z"},"links":{"cited_paper":"/paper/2304.04736","citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:b35e4719e86fd4087539b21d9140a91c9f6b6ccffe111ae6b69254ac2a5a129b","observation_id":"b8537105-4834-461f-8e4d-7cb79f1b2026","resolution":{"observed_at":"2026-08-16T12:08:38.678067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:08:39.507726Z","title":"Note: This figure displays the percentage of abstracts identified as having been written by ChatGPT, based on predictions from our trained multi-label large language model (LLM)","venue":null,"work_id":"86a8ba01-4b40-4db7-95db-83668edd5f0d","year":2022},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:39.173205Z"},"links":{"citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:6a52d0978acf4292654e338fa5b36944b6cc819538fd8af6d97b2f328dcf54dc","observation_id":"dee5911d-6e00-46c8-a20e-5db112951d30","resolution":{"observed_at":"2026-08-16T12:08:39.590152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-16T12:08:38.719685Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:38.719685Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:b4523956a999971e35d688ec336dd936e99b93fe886eb539812e499d66f5e925","observation_id":"7b3dd8fa-360c-467d-a908-519b9fabb192","resolution":{"observed_at":"2026-08-16T12:08:38.719685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:08:39.848838Z","title":"Three bricks to consolidate watermarks for large language models","venue":null,"work_id":"9a19a8b5-b62d-4a5d-86ee-4342edb53324","year":2023},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:38.724388Z"},"links":{"citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:65569ba7cd297e822bdf79f3fb17209e5dc6b6f8eeef049a706bcb31e5aa97f5","observation_id":"3cfb3a9d-7aee-4155-a46c-d7aa0dfd7308","resolution":{"observed_at":"2026-08-16T12:08:39.855060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.04043","last_updated":"2019-06-10T14:52:41Z","snapshot_observed_at":"2026-08-17T23:48:37.962668Z","submitted_at":"2019-06-10T14:52:41Z","title":"GLTR: Statistical Detection and Visualization of Generated Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.04043","snapshot_observed_at":"2026-08-16T12:08:38.771546Z","title":"Gltr: Statistical detection and visualization of generated text","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:38.771546Z"},"links":{"cited_paper":"/paper/1906.04043","citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:2264d1861fcb119e226a9cf448196b42c4ec821d7c2592ae5e3b36a2a557030c","observation_id":"e91cbc00-1413-47c8-9f7f-280f4c676031","resolution":{"observed_at":"2026-08-16T12:08:38.771546Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07183","snapshot_observed_at":"2026-08-16T12:08:38.891045Z","title":"Monitoring ai- modified content at scale: A case study on the impact of chatgpt on ai conference peer reviews","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:38.891045Z"},"links":{"cited_paper":"/paper/2403.07183","citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:3ce51ba3aad6f493ac65c534a04c8e9280f6b240a1effba66e795ac939363557","observation_id":"4097cf04-952c-4418-b5f9-80793fc31e52","resolution":{"observed_at":"2026-08-16T12:08:38.891045Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.09203","last_updated":"2019-11-13T03:54:12Z","snapshot_observed_at":"2026-08-03T18:37:05.537362Z","submitted_at":"2019-08-24T20:41:40Z","title":"Release Strategies and the Social Impacts of Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.09203","snapshot_observed_at":"2026-08-16T12:08:38.900864Z","title":"Release strategies and the social impacts of language models","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:38.900864Z"},"links":{"cited_paper":"/paper/1908.09203","citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:114414c8ce11b27e6ae1767f748d395bcba6c56dcec3a959f6675fc8dae35dab","observation_id":"0468a1ba-ded5-46f3-9fa4-c62b6610b9e3","resolution":{"observed_at":"2026-08-16T12:08:38.900864Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:08:38.904577Z","title":"Large language models in medicine","venue":null,"work_id":null,"year":1930},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:38.904577Z"},"links":{"citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:b5f6f23d0fd225efdf613891bce339124f2808ab7669195bd75db95066695372","observation_id":"daf71ec4-f151-429e-a5db-d759154c07b6","resolution":{"observed_at":"2026-08-16T12:08:38.904577Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:08:39.647252Z","title":"Authorship attribution for neural text generation","venue":null,"work_id":"37e04ff7-12e4-410d-bd16-9ae4e18fadc6","year":2020},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:39.012551Z"},"links":{"citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:f415cbd4aa30513b3bd361a91ed04203b954e64e33108ff76382f2f0214c8bce","observation_id":"d851606a-ea03-4979-9fe0-d0b587444a7d","resolution":{"observed_at":"2026-08-16T12:08:39.696285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.07710","last_updated":"2024-06-25T07:08:17Z","snapshot_observed_at":"2026-08-16T14:52:58.177757Z","submitted_at":"2023-10-11T17:57:35Z","title":"A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.07710","snapshot_observed_at":"2026-08-16T12:08:39.018080Z","title":"Yihan Wu, Zhengmian Hu, Hongyang Zhang, and Heng Huang","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:39.018080Z"},"links":{"cited_paper":"/paper/2310.07710","citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:efa3d441af6089fc495c600c4e380040d4fab24087a226f73b68915792896817","observation_id":"09c00440-ab57-48bf-95b2-eb2bc1e8301d","resolution":{"observed_at":"2026-08-16T12:08:39.018080Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.22282","last_updated":"2024-11-02T18:45:22Z","snapshot_observed_at":"2026-08-16T13:04:52.082778Z","submitted_at":"2024-10-29T17:35:46Z","title":"Whose ChatGPT? Unveiling Real-World Educational Inequalities Introduced by Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.22282","snapshot_observed_at":"2026-08-16T12:08:39.022721Z","title":"Whose chatgpt? unveiling real-world educational inequalities introduced by large language models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:39.022721Z"},"links":{"cited_paper":"/paper/2410.22282","citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:453373dff23549fcf4d7772520922e95d375c1f7d92339e3216ded3a6ac02fce","observation_id":"065b9ec0-40d7-4c69-a86b-f51577770fb5","resolution":{"observed_at":"2026-08-16T12:08:39.022721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.17439","last_updated":"2023-10-13T04:50:04Z","snapshot_observed_at":"2026-08-16T15:19:50.368078Z","submitted_at":"2023-06-30T07:24:32Z","title":"Provable Robust Watermarking for AI-Generated Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.17439","snapshot_observed_at":"2026-08-16T12:08:39.026724Z","title":"Provable robust watermarking for ai-generated text","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:39.026724Z"},"links":{"cited_paper":"/paper/2306.17439","citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:fcf11e2a9c51a1939f6d70eb26c0d38e865738e12ef180ac510eaeff2d2786b6","observation_id":"3aa09ffb-1a04-4c50-975d-45b47d92d611","resolution":{"observed_at":"2026-08-16T12:08:39.026724Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:08:39.630304Z","title":"Maths”, Physics as “Phys","venue":null,"work_id":"7129afce-62c1-4871-9795-f924492f1dab","year":2021},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:39.132359Z"},"links":{"citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:8bea3776c2ef6405fb9cbc1e281475ebd9391160aa570765f4af4455f9bbfec7","observation_id":"c470af2e-38da-4f1c-a2aa-d98c599bb671","resolution":{"observed_at":"2026-08-16T12:08:39.635649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:08:39.494917Z","title":"The figure shows no significant gender difference in GPT usage, as both male and female authors follow nearly the same trend in adopting GPT for revisions","venue":null,"work_id":"58b8b23a-77cd-485c-8007-f332d2d9346a","year":2021},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:39.224832Z"},"links":{"citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:4b95cedd28edf5ae78b5a67ff5d6dbda083ef255bd2b2a1dc757044740608b86","observation_id":"d29984fa-77b0-4597-92dc-0b66d1efcced","resolution":{"observed_at":"2026-08-16T12:08:39.499940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T12:08:39.421265Z","title":"We compute the average cosine similarity for articles authored by senior and junior researchers separately each month","venue":null,"work_id":"7705ded9-0aab-4462-9081-ae509103c134","year":2011},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:39.229095Z"},"links":{"citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:330b775dc1566c5adeb6684f7c46a5b3c15e52db001d7889c0f777c0dd040e8c","observation_id":"09fe37c7-15db-4ee7-9051-c96e6595a35f","resolution":{"observed_at":"2026-08-16T12:08:39.485666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.00061","last_updated":"2021-07-07T06:07:22Z","snapshot_observed_at":"2026-08-16T18:13:12.342653Z","submitted_at":"2021-06-30T19:00:25Z","title":"All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.00061","snapshot_observed_at":"2026-08-16T12:08:38.714812Z","title":"All that’s’ human’is not gold: Evaluating human evaluation of generated text","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":2004,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:38.714812Z"},"links":{"cited_paper":"/paper/2107.00061","citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:5fe9b26d1ba7e8335b816bf08bb77609352e21ec49919e88dd3d12143ffe5b3d","observation_id":"1234ffc5-3b19-4feb-92f3-7f5df6491ec5","resolution":{"observed_at":"2026-08-16T12:08:38.714812Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.04023","last_updated":"2023-11-28T09:01:12Z","snapshot_observed_at":"2026-08-07T14:17:12.140094Z","submitted_at":"2023-02-08T12:35:34Z","title":"A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.04023","snapshot_observed_at":"2026-08-16T12:08:38.622458Z","title":"A multitask, multilingual, multimodal evaluation of chatgpt on reasoning, hallucination, and interactivity","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:38.622458Z"},"links":{"cited_paper":"/paper/2302.04023","citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:980c6e215584cf7ee5cb64e1665ee04c3f8bc520e5bf5524525b598f72a8f8e0","observation_id":"6a19419f-a97d-453b-9f11-23e3838c0a99","resolution":{"observed_at":"2026-08-16T12:08:38.622458Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10084","last_updated":"2019-08-27T08:50:17Z","snapshot_observed_at":"2026-08-14T05:02:11.716316Z","submitted_at":"2019-08-27T08:50:17Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.10084","snapshot_observed_at":"2026-08-16T12:08:38.896368Z","title":"Sentence-bert: Sentence embeddings using siamese bert-networks","venue":null,"work_id":null,"year":1908},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:38.896368Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:af5dacdc76630c5a8461a13bbb69042e96d9539ffaad20c855ed6023a25d50a8","observation_id":"58bf017c-9891-4c26-b953-9ee585bfe11e","resolution":{"observed_at":"2026-08-16T12:08:38.896368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-16T12:08:38.627895Z","title":"Language models are few-shot learners","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:38.627895Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:fea1038447818327bdd18f1a4a2afe62103abbf23b631ebb8a24465fd64fc50e","observation_id":"c2c91fce-4f0e-42c9-8f10-dd7a40957e3a","resolution":{"observed_at":"2026-08-16T12:08:38.627895Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.07969","last_updated":"2023-05-17T18:21:03Z","snapshot_observed_at":"2026-08-16T15:33:21.590080Z","submitted_at":"2023-05-13T17:12:11Z","title":"GPT-Sentinel: Distinguishing Human and ChatGPT Generated Content","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.07969","snapshot_observed_at":"2026-08-16T12:08:38.709116Z","title":"Gpt-sentinel: Distinguishing human and chatgpt generated content","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:38.709116Z"},"links":{"cited_paper":"/paper/2305.07969","citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:ca839a240c4cc0d5b43e8d4ced61a719b06c700700e6ed6074f533ff2ac0f7e7","observation_id":"b7c42985-19e0-4be1-88d9-f99c6882e1d0","resolution":{"observed_at":"2026-08-16T12:08:38.709116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.03351","last_updated":"2019-11-25T16:21:00Z","snapshot_observed_at":"2026-08-16T23:34:40.694367Z","submitted_at":"2019-06-07T22:45:33Z","title":"Real or Fake? Learning to Discriminate Machine from Human Generated Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.03351","snapshot_observed_at":"2026-08-16T12:08:38.541186Z","title":"Real or fake? learning to discriminate machine from human gener- ated text","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-16T12:08:38.541186Z"},"links":{"cited_paper":"/paper/1906.03351","citing_paper":"/paper/2504.13629"},"observation_digest":"sha256:59f1a87df2d64d85bebf27943225869a3fe754d776398b4c137fda8e0b047847","observation_id":"cc1a2101-c72c-48a2-a31a-7e9b5816ea24","resolution":{"observed_at":"2026-08-16T12:08:38.541186Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2504.13629","last_updated":"2025-04-18T11:09:16Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-17T17:49:28.202861Z","submitted_at":"2025-04-18T11:09:16Z","title":"Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":0,"verified_fuzzy":6},"total_outbound_references":21},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2504.13629."}