{"as_of":"2026-08-10T11:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0f29a33c3a8fe903b1b66ccdb398982744ad93329447c7f991a65cbcd2d329c5","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-15T00:25:04.460757Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2604.19768/citation-record","integrity":"/paper/2604.19768/integrity","json":"/paper/2604.19768/citation-record.json","paper":"/paper/2604.19768"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.00770","last_updated":"2024-07-12T20:29:57Z","snapshot_observed_at":"2026-08-09T13:21:58.456670Z","submitted_at":"2023-09-02T00:32:55Z","title":"Bias and Fairness in Large Language Models: A Survey","version":3},"cited_work":{"arxiv_id":"2309.00770","doi":"10.48550/arxiv.2309.00770","metadata_source":"arxiv_reference","pith_arxiv_id":"2309.00770","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gallegos, Ryan A","venue":"arXiv (Cornell University)","work_id":"d11a418c-9536-4273-a406-81796c943c0f","year":2024},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"cited_paper":"/paper/2309.00770","citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:590f0e7705238a05b8ef2609c7834b5a05c1fe33cd2431f61ee3d8389c2cd4dd","observation_id":"02d0808c-8d3a-4a62-b393-bca86a6ffce2","resolution":{"observed_at":"2026-05-15T00:28:22.970065Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.16430","last_updated":"2024-09-24T19:50:38Z","snapshot_observed_at":"2026-07-06T19:21:29.370574Z","submitted_at":"2024-09-24T19:50:38Z","title":"A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions","version":1},"cited_work":{"arxiv_id":"2409.16430","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.16430","snapshot_observed_at":"2026-07-02T21:47:28.290502Z","title":"Ranjan, S","venue":null,"work_id":"eddd3099-c097-4f19-b498-659fd0ca0045","year":2024},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"cited_paper":"/paper/2409.16430","citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:163e076321e6fb0e2cf80e981c808387e0adbfc49b532c08e656ef9cff24e5d9","observation_id":"78abf404-383f-49ce-a905-f1b084fa428d","resolution":{"observed_at":"2026-05-15T00:28:23.602902Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2020.acl-main.485","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Language (Technology) is Power: A Critical Survey of ``Bias'' in NLP","venue":null,"work_id":"2794bd4a-737e-460a-9f71-ba4e65541613","year":2020},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:84a097b4d3320d96656723afecf9f2ac48d464a0ad9d6a8f9f35b85e70906246","observation_id":"158554cf-7961-41ee-a377-ce1a1d0de896","resolution":{"observed_at":"2026-05-15T00:28:23.001205Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-07-11T12:49:01.586001+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T12:49:01.586001+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2023.findings-emnlp.123","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.18653/v1/2023.findings-emnlp.123","venue":null,"work_id":"20245464-31cb-4b06-971f-400c499c87b7","year":2023},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:07bd48eab0d1e8fede7bec332384ae63301ef6cea36ae517ad32c9f0d8c456b9","observation_id":"61758088-2873-487d-ab5d-abe5ab12de73","resolution":{"observed_at":"2026-05-15T00:28:23.017235Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2188.344592","doi":"10.1145/3442188.344592","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell","venue":null,"work_id":"efb3082c-4f47-4d65-b49b-c56ba744fbbf","year":2021},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:68d3ba3ce56b990986fdca8ba406f393e944151dad4ca5b7f9ee07e083efee99","observation_id":"a4d129c1-835c-4500-bedd-f6658b2e0c56","resolution":{"observed_at":"2026-05-15T00:28:23.014522Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2025.acl-long.1345","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ISBN 979-8-89176-251-0","venue":null,"work_id":"3277e650-8fd9-42e4-8650-c4f9c5b83a01","year":2025},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:a324214a6df93fffc32f46b52130cc06506cbbedce53d5bde405cc2bde1ca293","observation_id":"7a258c3e-9d47-4500-917e-84a2f1d1a14b","resolution":{"observed_at":"2026-05-15T00:28:22.965605Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"oso/9780199","doi":"10.1093/acprof:oso/9780199202973.001.0001","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scale-Free Networks: Complex Webs in Nature and Technology","venue":null,"work_id":"e46cfa5e-c56e-4eac-8e83-4e064828157d","year":2011},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:9a958780ef069772a0802acc255598a3841ac87cb89d54df49268f9080248132","observation_id":"51f5cd3c-a091-4cf7-bfb5-503227d36486","resolution":{"observed_at":"2026-05-15T00:28:23.010436Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-06-05T21:23:00.469572Z","title":"Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation","venue":null,"work_id":"b29bfc24-159a-4205-afc2-9e1c039a001d","year":2025},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:21179bb1cea270f53312c06be8f34d00f454fa4ec13bdb5683c6dff8174c56ac","observation_id":"56e82f4e-6f0d-4dfb-acef-e4e466be20d5","resolution":{"observed_at":"2026-05-15T11:15:30.553218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2025.naacl-long.452","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ISBN 979-8-89176-189-6","venue":null,"work_id":"5ed8c8a1-8c2a-45bd-8451-92414e1cdceb","year":2025},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:64b17dc8f49f7cba39da1997ffb5c313bda97211ddeebb9af45f516344faf45f","observation_id":"6808f266-1300-4e24-9ec7-81f4cd458d76","resolution":{"observed_at":"2026-05-15T00:28:22.959776Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.4000/14yb8","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.4000/14yb8","venue":"Argumentation et analyse du discours","work_id":"4f1a7662-f485-4228-a695-43e7beafffc5","year":null},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:765d230777d09ab714b53dbde728cc0b94ce31b1083abe69d7bdc7784766ec65","observation_id":"d4639022-7af6-4c00-89a1-b415ea051db7","resolution":{"observed_at":"2026-05-15T00:28:22.955808Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10994-025-06767-4","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.1007/s10994-025-06767-4","venue":"Machine Learning","work_id":"d6cc025c-484b-450a-accb-c29ac89df016","year":null},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:fef77f8b4011bcd4544c6f61d02fb6fd05db01dc79074880128cbb1d633c89c6","observation_id":"1d0de0f4-df7f-4c5b-89d5-d56880d4b4ae","resolution":{"observed_at":"2026-05-15T00:28:22.957897Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"5627.337581","doi":"10.1145/3375627.3375811","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ISBN 978-1-4503-7110-0","venue":"Proceedings of the AAAI/ACM Conference on AI Ethics and Society","work_id":"f0f47d11-23b0-411f-8ce3-b43a70f619bc","year":2020},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:ac3e2c956c63f2da644ed43e8e2f633d9ed9f8c1eea533cd6f700091092d57d0","observation_id":"2ccf0d13-255c-44ea-89b5-04343a1b981b","resolution":{"observed_at":"2026-05-15T00:28:22.995455Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3323.370371","doi":"10.1145/3703323.3703712","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ISBN 979-8-4007-1124-4","venue":null,"work_id":"29e752e9-5d9f-49c9-b4c1-32dccf833ff4","year":null},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:aa9029755f54eeea3047b077727a7e8dde1503ba30a4d1f47d109057113201b1","observation_id":"b2a12d63-859d-4348-8a3a-f1f143d9ea50","resolution":{"observed_at":"2026-05-15T00:28:22.991661Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3799.376296","doi":"10.1145/3733799.3762964","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ISBN 979-8-4007-1895-3","venue":null,"work_id":"f154cb4c-c9ab-405f-994d-b0823936b7ac","year":2025},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:76843cfb45f3228ace62eeceb2d722c48a5e54ca3df2a7bb54bb5d801cc5b692","observation_id":"bbd832db-7144-4801-83c0-cafc5942e89a","resolution":{"observed_at":"2026-05-15T00:28:23.005755Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.07305","last_updated":"2023-08-14T17:46:52Z","snapshot_observed_at":"2026-07-06T16:06:06.887345Z","submitted_at":"2023-08-14T17:46:52Z","title":"Neural Authorship Attribution: Stylometric Analysis on Large Language Models","version":1},"cited_work":{"arxiv_id":"2308.07305","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.07305","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Wataru Zaitsu, Mingzhe Jin, Shunichi Ishihara, Satoru Tsuge, and Mitsuyuki Inaba","venue":null,"work_id":"f388e266-00af-496e-ad0a-2988a40fb24d","year":null},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"cited_paper":"/paper/2308.07305","citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:ada2fe8898c3920220b2f739a5baca28828fa5db240251a5026b34d9a1fec7f0","observation_id":"4714cb9c-f160-46e5-8e55-02b023f0b2cc","resolution":{"observed_at":"2026-05-15T00:28:23.610066Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1371/journal.pone.0335369","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.1371/journal.pone.0335369","venue":"PLoS ONE","work_id":"f35d0c66-6623-4b92-926a-edfeb4975eef","year":2025},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:31dbaa7903b8a4d344a0ac9770d31b5012958a5c4c196881240a59db48780a20","observation_id":"4402c783-fc8b-4264-aab8-ed8d2aceea08","resolution":{"observed_at":"2026-05-15T00:28:22.998480Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-05-25T06:23:49.432551+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T06:23:49.432551+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"3945.2024","doi":"10.1080/02773945.2024.2343264","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.1080/02773945.2024.2343264","venue":"Rhetoric Society Quarterly","work_id":"ef523ffd-6cae-417f-811e-dcf429e9e0d4","year":1930},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:c662746ee142e8eaf66ca7027248e4b31b46e4179bf08a23606911151c759cd1","observation_id":"6638c58f-2654-4884-a716-c4d3fba1a5d4","resolution":{"observed_at":"2026-05-15T00:28:22.953750Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.21744","doi":"10.48550/arxiv.2511.21744","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Aityan, William Claster, Karthik Sai Emani, Sohni Rais, and Thy Tran","venue":"ArXiv.org","work_id":"2bcb90ff-6b10-4ab4-a682-36dfa0bfc2f5","year":2025},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:b334ae985260de347c06542e7f4e904c55a04dfbd8919a5ebd23172bd616d187","observation_id":"f84c9bbb-bbf0-47e7-b99e-8ea5ca5e6f34","resolution":{"observed_at":"2026-05-15T00:28:23.606286Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-05-25T06:23:45.417486+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T06:23:45.417486+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.130644","doi":"10.1016/j.eswa.2025.130644","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"doi:10.1016/j.eswa.2025.130644","venue":"Expert Systems with Applications","work_id":"d7b943fb-4598-4dce-a6a9-36505375d906","year":2025},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:48ab5b1b33ab94daed16597add3c574ccb8cd0be553b898e55ced2c487ecfbc2","observation_id":"4db7b17b-492b-4617-a254-7f0c8057702e","resolution":{"observed_at":"2026-05-15T00:28:22.963083Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.1212303","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-02T13:16:57.966770Z","title":"author Montani, I","venue":"Zenodo (CERN European Organization for Nuclear Research)","work_id":"21f271e7-c123-4e13-856a-053f2da387a8","year":2020},"citing_paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-15T00:25:04.460757Z"},"links":{"citing_paper":"/paper/2604.19768"},"observation_digest":"sha256:19935e5833f0072b0161f4f3ba6b5499e09b2e81dca9346a3e7500c04502950e","observation_id":"95addf9a-faf6-4458-82e0-2aa42ca90a6c","resolution":{"observed_at":"2026-05-15T00:28:22.987810Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-03T15:08:47.996614+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-03T15:08:47.996614+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.19768","last_updated":"2026-03-27T05:33:10Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T12:20:25.925414Z","submitted_at":"2026-03-27T05:33:10Z","title":"Saying More Than They Know: A Framework for Quantifying Epistemic-Rhetorical Miscalibration in Large Language Models"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":1,"metadata_mismatch":6,"parse_uncertain":0,"unresolved":0,"verified_exact":12,"verified_fuzzy":1},"total_outbound_references":20},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2604.19768."}