{"as_of":"2026-08-13T14:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5132512e13ca8db20a1d65191a0a9b5cc0a38392887779203b22702e89713c08","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T22:45:42.655050Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2509.07190/citation-record","integrity":"/paper/2509.07190/integrity","json":"/paper/2509.07190/citation-record.json","paper":"/paper/2509.07190"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T22:45:43.185068Z","title":"Assessing LLMs in malicious code deobfuscation of real-world malware campaigns,","venue":null,"work_id":"7198b9da-3950-4319-b835-bb8f55d48793","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.481784Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:b5f26641a94327734042411af38826804d2a2a905edc4936ca843bfec3bfafc2","observation_id":"044be7a5-020d-47ea-8d8a-21ac7366447b","resolution":{"observed_at":"2026-08-04T22:45:43.189805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.02136","last_updated":"2025-09-26T12:00:01Z","snapshot_observed_at":"2026-07-06T19:09:55.393720Z","submitted_at":"2024-09-02T14:51:12Z","title":"Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.02136","snapshot_observed_at":"2026-08-04T22:45:42.486029Z","title":"Large language models versus classical machine learning: Performance in COVID-19 mortality prediction using high-dimensional tabular data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.486029Z"},"links":{"cited_paper":"/paper/2409.02136","citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:c7335a43d653b94536c6692e58734710c3ab8d12013aa5f532a15622c6a07c4b","observation_id":"297995e4-140c-4d04-813c-487dc924daf8","resolution":{"observed_at":"2026-08-04T22:45:42.486029Z","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":"2026-08-04T22:45:43.174553Z","title":"Large language models as tax attorneys: A case study in legal capabilities emergence,","venue":null,"work_id":"424ec713-4592-44e1-b379-221c6cd3f84b","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.490474Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:e675b4e55a1281746e3be84efb21e7df5b3f6a6018e68f1c0c0ea218d7473773","observation_id":"67f47fcc-6170-4058-8629-ab1a673e700b","resolution":{"observed_at":"2026-08-04T22:45:43.178493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:43.164101Z","title":"LegalMind system and the LLM-based legal judgment query system,","venue":null,"work_id":"c87ef51f-f08a-4370-9eff-efb70cf9bf88","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.494787Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:90abe15771656a1face3afe49e93459cae2f9cd53eaf35080df707ce9ef48fc4","observation_id":"5b1f8f31-8fa4-4ab0-8e44-5044cc48d985","resolution":{"observed_at":"2026-08-04T22:45:43.167854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:43.153505Z","title":"Can ChatGPT predict Chinese equity premiums?,","venue":null,"work_id":"4dec7e47-8ec2-40b9-bbeb-1fbf645420b0","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.498879Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:810850d4c96296cf245f12a12f9659e18ffc09ad8be85f001f458b8a3d568967","observation_id":"74e953b7-ff5d-4d47-9c1c-858a97608e36","resolution":{"observed_at":"2026-08-04T22:45:43.157173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:43.131881Z","title":"Dropout as a Bayesian approximation: Representing model uncertainty in deep learning,","venue":null,"work_id":"6ef18e25-58b9-4a97-87a4-cd9686daaa99","year":2016},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.507233Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:812d924aa0bfa950b76d21db09468cd839c807759141d5eb46dadc1836501653","observation_id":"1ac19e18-2713-4456-bfee-57a4139e38f9","resolution":{"observed_at":"2026-08-04T22:45:43.135740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:43.142904Z","title":"ChatGPT: A canary in the coal mine or a parrot in the echo chamber? Detecting fraud with LLM: The case of FTX,","venue":null,"work_id":"c164dee7-9a26-4d9a-aa77-b8d1f3de2d13","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.510971Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:0602f20e0359fd31eeeb059764f78b474bb33973d69e35d50c578dcd16ff75cb","observation_id":"0a2bd441-8edc-425a-9870-6d0ed2ffdf26","resolution":{"observed_at":"2026-08-04T22:45:43.146662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-04T22:45:42.514625Z","title":"Language models are few-shot learners,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.514625Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:d79b0f61e9b9157f8aa296d09a234143b59ba3257f9d6270246cd23f438f1be3","observation_id":"a34ad9a3-2007-4ca4-a966-7bab14c5ad03","resolution":{"observed_at":"2026-08-04T22:45:42.514625Z","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":"2026-08-04T22:45:43.121860Z","title":"Anchoring revisited: Robust evidence from large-scale meta-analysis,","venue":null,"work_id":"57eac1d7-0eec-435b-8826-cae2fbd02a54","year":2023},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.518759Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:94d14848fa980dd95e483d40b5dd5f112c436239e9252eef1a542c0326f1b708","observation_id":"ce670b5b-5157-41d7-b862-dfd8bfe23ffc","resolution":{"observed_at":"2026-08-04T22:45:43.125337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:43.111479Z","title":"Resource-rational analysis: Understanding human cognition as the optimal use of limited computational resources,","venue":null,"work_id":"a185f94f-7434-4898-8e2b-c0c99ea9dc52","year":2020},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.522267Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:105cd78f24a3decff9cd4850b13262a9b81bbdece8a19792f5fa24e91332a3da","observation_id":"fbcf01de-4325-4f0f-b239-5b82a37e0da7","resolution":{"observed_at":"2026-08-04T22:45:43.115294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:43.100703Z","title":"Natural frequencies illuminate base-rate neglect and facilitate Bayesian reasoning,","venue":null,"work_id":"de1c49f2-5236-4907-94ed-6b418e19f712","year":2021},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.526257Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:4d167cf3279bfcd4b15bcc3f46d45b23a9bb2e897ca1ad174268db46581cce69","observation_id":"262671a3-601e-4fd3-b5ec-4ee1515f83b2","resolution":{"observed_at":"2026-08-04T22:45:43.104476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:43.090427Z","title":"Human behaviour in the context of low-probability, high- impact events,","venue":null,"work_id":"568c820f-cf79-4452-b042-8771071c9b75","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.529959Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:85e2b42df2cd79f92f6bbfd0af96e30cf8329e94a0f205fdd26d6240f2d3b7cd","observation_id":"9987f526-0393-410f-9aef-deef4b46fef9","resolution":{"observed_at":"2026-08-04T22:45:43.094219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:43.079744Z","title":"Bad at probability? That might be a blessing,","venue":null,"work_id":"eb5cd660-2288-4a86-95d9-817a2ad290e5","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.533284Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:7e45e1f495cdcfc07bf89c62b8bc871635ddbd1b6d2d4f189cbba2de85886280","observation_id":"fa83d30d-15f1-41f0-ae88-fdc2ab87b0b2","resolution":{"observed_at":"2026-08-04T22:45:43.083592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:43.067824Z","title":"Simple and scalable predictive uncertainty estimation using deep ensembles,","venue":null,"work_id":"bf33f2ce-cfbd-4a69-91ea-3fe9c278923f","year":2017},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.536756Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:0f604d04f9484523a509062f7934ccfe73addb8599db1f6867c24884d839135c","observation_id":"4b89b4df-9320-4145-b831-069770dcb070","resolution":{"observed_at":"2026-08-04T22:45:43.071671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:43.057110Z","title":"Dropout as a Bayesian approximation: Representing model uncertainty in deep learning,","venue":null,"work_id":"69c8c523-859b-44dd-9d0b-a7240c757c6f","year":2016},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.540014Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:52e256331aa19b4f2699560bc28d315a8d2775a254c0726b3257e28d22daeb20","observation_id":"491d0bca-8e64-48d7-abb0-fee3973798e7","resolution":{"observed_at":"2026-08-04T22:45:43.060988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:43.046151Z","title":"Why should I trust you?: Explaining the predictions of any classifier,","venue":null,"work_id":"b2220abf-2bdf-4ee8-9106-6c3d25a46d21","year":2016},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.543420Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:841473201c18d1d3df05808766c2eb3289a9f9b8a4e8ef23e90f7583f9b9537d","observation_id":"73e3bdac-ab6b-40af-b505-c8d23f89f56d","resolution":{"observed_at":"2026-08-04T22:45:43.050201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:43.035305Z","title":"Man is to computer programmer as woman is to homemaker? Debiasing word embeddings,","venue":null,"work_id":"5fbe09d4-6686-4d87-9b12-ce74edf58291","year":2016},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.546840Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:9048a2eeff5b02013a825e7abeec08901f3d9c2af518b6efa7d065eaec288bdc","observation_id":"37842fcc-5933-499d-913e-ecc2bf91a9fc","resolution":{"observed_at":"2026-08-04T22:45:43.039068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.05278","last_updated":"2025-04-07T17:24:11Z","snapshot_observed_at":"2026-08-12T00:22:27.894309Z","submitted_at":"2025-04-07T17:24:11Z","title":"The challenge of uncertainty quantification of large language models in medicine","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.05278","snapshot_observed_at":"2026-08-04T22:45:42.550373Z","title":"The challenge of uncertainty quantification of large language models in medicine,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.550373Z"},"links":{"cited_paper":"/paper/2504.05278","citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:2379b161c9366d03b389f91af02bd3c8d1892b51939ecb010ee5b2698583fefb","observation_id":"33651c28-aa52-4aba-8efc-d1a9bc3022a2","resolution":{"observed_at":"2026-08-04T22:45:42.550373Z","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":"2026-08-04T22:45:43.024900Z","title":"Large language model uncertainty proxies: discrimination and calibration for medical diagnosis and treatment,","venue":null,"work_id":"b8f2bb46-f8e2-4793-a447-77be1d4c2a74","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.554688Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:8218951ce338d66b41d9458101ec6ec0636c6fd1a008a960e15e187f9c23e140","observation_id":"e0d1cc85-96cd-4081-82be-699b2ad34b03","resolution":{"observed_at":"2026-08-04T22:45:43.028502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03366","last_updated":"2024-01-31T14:06:26Z","snapshot_observed_at":"2026-08-13T04:30:09.588250Z","submitted_at":"2024-01-31T14:06:26Z","title":"Uncertainty-Aware Explainable Recommendation with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03366","snapshot_observed_at":"2026-08-04T22:45:42.558346Z","title":"Uncertainty-aware explainable recommendation with large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.558346Z"},"links":{"cited_paper":"/paper/2402.03366","citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:25b6f23fcde01176137d7d62757d22b3c26b67ad6bb1a4c870cb2c612f25d902","observation_id":"39ae21ae-ad64-4d70-af1e-417965639f85","resolution":{"observed_at":"2026-08-04T22:45:42.558346Z","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":"2026-08-04T22:45:43.014327Z","title":"A novel integration strategy for uncertain knowledge in group decision-making with artificial opinions: A DSFIT-SOA-DEMATEL approach,","venue":null,"work_id":"6da1fb93-90a9-4893-832d-e6374a978982","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.562204Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:879750da1242d7ccbe0e067601e4bd0d5174273654adc4e7f4cf23009115dce7","observation_id":"bdd83f3b-9c5e-4e04-b291-a6f1533d5911","resolution":{"observed_at":"2026-08-04T22:45:43.018100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:43.003736Z","title":"Selective prediction-set models with coverage rate guarantees,","venue":null,"work_id":"f8742711-b34b-4b86-8f34-990d875a9a0e","year":2021},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.565700Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:21e98eb50e7df9d9724de7549ecda1f1485e8c5d3f221e11e88daffb680c9b35","observation_id":"51f09a81-1fcb-419c-aa03-ff9c78c9ce2a","resolution":{"observed_at":"2026-08-04T22:45:43.007362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.993530Z","title":"On the foundations of noise-free selective classification,","venue":null,"work_id":"33caad51-31cb-4286-b985-ed69375c505d","year":2010},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.569226Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:4bb2b93714e9875a2bd9dff587d5a3378c09e6f870233c0a67310b6e42ec9108","observation_id":"ae6cdcd4-17a0-4072-94c2-7b96355f6221","resolution":{"observed_at":"2026-08-04T22:45:42.997174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09110","last_updated":"2023-10-01T21:44:23Z","snapshot_observed_at":"2026-08-10T23:10:13.900680Z","submitted_at":"2022-11-16T18:51:34Z","title":"Holistic Evaluation of Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.09110","snapshot_observed_at":"2026-08-04T22:45:42.572776Z","title":"Holistic evaluation of language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.572776Z"},"links":{"cited_paper":"/paper/2211.09110","citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:9323bcae7cb621c89d82989cf4f0658e977dacef20f3c79e611552e1c9da9f25","observation_id":"3327559e-3998-4701-9375-324d3cf58860","resolution":{"observed_at":"2026-08-04T22:45:42.572776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1703.04977","last_updated":"2017-10-05T13:04:51Z","snapshot_observed_at":"2026-07-06T05:33:41.623357Z","submitted_at":"2017-03-15T07:27:12Z","title":"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.04977","snapshot_observed_at":"2026-08-04T22:45:42.576671Z","title":"What uncertainties do we need in Bayesian deep learning for computer vision?,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.576671Z"},"links":{"cited_paper":"/paper/1703.04977","citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:5fc04d7458e37df1363c9d37f7c134ef3d31cb576677b6c710034eecda64a2cb","observation_id":"fc859ce6-f0ce-41c9-a359-f2c5f2daeb99","resolution":{"observed_at":"2026-08-04T22:45:42.576671Z","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":"2026-08-04T22:45:42.983258Z","title":"Dlugatch, A","venue":null,"work_id":"4d22a386-5ce0-4a15-a59e-c8e7570c6651","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.580617Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:14decb4b1ff65f1b5be87d18d73ef0adbf2b70d503220f4c8dba3ba371a722a0","observation_id":"3312b6a7-90ae-42ec-b004-e8803bf2dbc0","resolution":{"observed_at":"2026-08-04T22:45:42.986896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.972759Z","title":"Mechanisms of cancer metastasis,","venue":null,"work_id":"8ed26c78-c025-44e1-a837-eb55b8bbb55d","year":2022},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.584195Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:4a2af73f4e069a2811fc329ecd500efdc2e6d51dd214699f6f9362975da8e911","observation_id":"be9ebee6-5f2f-449a-b51f-d5abc4b7d05c","resolution":{"observed_at":"2026-08-04T22:45:42.976560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.961668Z","title":"An exploratory survey about using ChatGPT in education, healthcare, and research,","venue":null,"work_id":"083d8423-428d-4688-a439-f475c4720e81","year":2023},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.587616Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:9757c0126306935eeada7f6a5737f8cd3c0853eff01d2851e40b06732f740bca","observation_id":"a5a77578-179b-41ea-ba67-1bd1e6aa0ebd","resolution":{"observed_at":"2026-08-04T22:45:42.965895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.951061Z","title":"Selectively answering ambiguous questions,","venue":null,"work_id":"1cbe3173-88e7-44b8-9fc7-74caba266bad","year":2023},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.591214Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:481e18288e38085344169de169f68c9d8f8091531de2840852e2c4819c97ea69","observation_id":"7b754cb9-974d-49d9-9211-0df252461d52","resolution":{"observed_at":"2026-08-04T22:45:42.954842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.940584Z","title":"Selective question answering under domain shift,","venue":null,"work_id":"f338a3b8-14bf-4715-b265-bcd38b42f80e","year":2020},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.594620Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:a9cd0233c58803ffd38893c11a2f0357d70f7f45085a7864ca584932ff88af71","observation_id":"4ef91974-31ce-468a-aeaf-5c4d3f6e12bd","resolution":{"observed_at":"2026-08-04T22:45:42.944191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.928813Z","title":"Calibration of Pre-trained Transformers,","venue":null,"work_id":"9593f941-076e-462c-b5b7-e55be45c6e5d","year":2020},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.598296Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:e8ac35a47e58d23d9363d93f516bf30dd55d5b25e758494955d3d8efcd953e1e","observation_id":"1f255a54-b42f-432b-911f-d0224497aa47","resolution":{"observed_at":"2026-08-04T22:45:42.932485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12601","last_updated":"2025-04-08T02:39:57Z","snapshot_observed_at":"2026-07-06T20:38:25.164930Z","submitted_at":"2025-02-18T07:25:12Z","title":"COPU: Conformal Prediction for Uncertainty Quantification in Natural Language Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.12601","snapshot_observed_at":"2026-08-04T22:45:42.601650Z","title":"COPU: Con- formal Prediction for Uncertainty Quantification in Natural Language Generation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.601650Z"},"links":{"cited_paper":"/paper/2502.12601","citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:72a1c8455e6f42df4200f66c607b792a9adb7b0a7755adcb6619fa912f4e1efb","observation_id":"73f4b65e-d3bd-4c3f-9e28-489f6daa3e50","resolution":{"observed_at":"2026-08-04T22:45:42.601650Z","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":"2026-08-04T22:45:42.918166Z","title":"Logic-LM: Empow- ering large language models with symbolic solvers for faithful logical reasoning,","venue":null,"work_id":"dd8db258-a667-4843-9881-0c202470676f","year":2023},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.605504Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:d59fa7f2a8c618834c1763e335ef420bf2920fa2022bf61ff40dcd745319b075","observation_id":"070f8649-929d-4ed3-9453-a580042e9b30","resolution":{"observed_at":"2026-08-04T22:45:42.922167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.905332Z","title":"Deep sym- bolic regression for recurrent sequences,","venue":null,"work_id":"51de75c0-9a87-40f0-bf1d-adf0c53dafa7","year":2022},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.608799Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:ff2fe01b4e5679a7f88261364f6a331c16126aa56694ea5cc2b76da15876b1d6","observation_id":"eff75d5d-a0bd-4989-b909-3d88da1a157a","resolution":{"observed_at":"2026-08-04T22:45:42.910228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.894452Z","title":"A comprehensive survey on neuro-symbolic artificial intelligence,","venue":null,"work_id":"212255c4-22be-478e-812a-1932843fda6d","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.612444Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:4293a3d32285b40a7c29302e6525cf70afb0519b7e564935b6ac2e084ed4a2be","observation_id":"1569d65c-b0b2-45f7-8349-081c0714b203","resolution":{"observed_at":"2026-08-04T22:45:42.898273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.884281Z","title":"Integrating artificial intelligence with the Internet of Things: A review of recent advances,","venue":null,"work_id":"f8e0c32f-8fe0-420b-ab77-d4c531b5e9ec","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.616068Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:5b3c338c03bce704ed944eba1fe6080f093748c8cffedab81e58e201d47f3149","observation_id":"998f7354-e7ea-4322-8f7a-4517f7afa7da","resolution":{"observed_at":"2026-08-04T22:45:42.888116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.873572Z","title":"Historical perspectives on the development of neuro-symbolic reasoning,","venue":null,"work_id":"6e1b1dd5-62c1-4ec1-a92e-e00f1c400a33","year":2025},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.619686Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:4614767f14ff7bc583f93abd71e19d5c59ff43aa7f469a00ab98a6b05b12cd33","observation_id":"f47e9b6a-d115-4488-a3c6-b88e55a2e110","resolution":{"observed_at":"2026-08-04T22:45:42.877565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.863290Z","title":null,"venue":null,"work_id":"1ae8703c-ca56-4f9c-9cf0-e4989b4d6dd5","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.623460Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:144faf3d7ef02cd2a8e93fba9efcf5a8a06f3f60b4bf9167b30e6eb84660428b","observation_id":"e001fbc3-aade-4e52-9b84-af4c516e65e1","resolution":{"observed_at":"2026-08-04T22:45:42.866832Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.852947Z","title":null,"venue":null,"work_id":"568fbe11-14f9-4b74-b4a5-f31f53098742","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.626982Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:aefcef51cabcce4edb71fd3993577eb38f90fa6d24bfb0ae813b77846aeeb507","observation_id":"76078edd-d723-4fa0-a2b6-438ec80ec7dc","resolution":{"observed_at":"2026-08-04T22:45:42.856460Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.841839Z","title":"Axiomatizing Conditional Normative Reasoning","venue":null,"work_id":"da78f9cf-376c-47f5-a2e0-4d61852ea9e3","year":2024},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.630510Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:7ab87b63ee415d1677642eb5bf77cdf659e3cb975b727709f44b6f5769474acb","observation_id":"93b28ec3-ed69-4343-9ee6-82ca604a6147","resolution":{"observed_at":"2026-08-04T22:45:42.845570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.830667Z","title":"A Virtue-Based Framework to Support Putting AI Ethics into Practice,","venue":null,"work_id":"95ab4eb3-645f-4df2-932b-72aecd00740e","year":2022},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.633883Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:370b2625b21250ead06839c830a12063cc23b6d1713831de14ff9773ba6749c1","observation_id":"de0d8b39-9625-4b33-bd94-4a46da0e41e5","resolution":{"observed_at":"2026-08-04T22:45:42.834639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.818902Z","title":null,"venue":null,"work_id":"22c25d9f-8612-433b-8b9b-c47c806428af","year":2025},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.637257Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:03eaea5a7d9d0bc3cf22b9f1931e7ca5b9f1080ab32650ed21687fdefd818f5d","observation_id":"922fd08a-87a1-4c49-b703-0688399cd4d3","resolution":{"observed_at":"2026-08-04T22:45:42.822535Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.807428Z","title":null,"venue":null,"work_id":"12d46e69-55bd-49dd-a3c0-172bbfcc465f","year":2023},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.641035Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:dc46e8ae302026300fa53873b3ed5e9b75b860f64c7220335f5486d3e28787ee","observation_id":"d12e722e-c42a-427b-8143-81e105097276","resolution":{"observed_at":"2026-08-04T22:45:42.811122Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.796795Z","title":null,"venue":null,"work_id":"0d48a64e-0a93-41da-b589-b2a799d5ecec","year":2025},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.644474Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:9dd607a5050bb53c5c07ead0a0baeed82ee2a9281cf457ab6a53121c0f24474c","observation_id":"3ce21e5b-2dc2-4c92-b756-96330f501d76","resolution":{"observed_at":"2026-08-04T22:45:42.800399Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.14334","last_updated":"2022-06-13T05:04:53Z","snapshot_observed_at":"2026-08-09T23:45:38.167954Z","submitted_at":"2022-05-28T05:02:31Z","title":"Teaching Models to Express Their Uncertainty in Words","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.14334","snapshot_observed_at":"2026-08-04T22:45:42.647928Z","title":"Teaching models to express their uncertainty in words,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.647928Z"},"links":{"cited_paper":"/paper/2205.14334","citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:462e7cac1171595c32253a9d6155f786fb23421ce891c414cf330376a3f81853","observation_id":"e7823842-feb6-4fee-9d84-7e390ed2d9aa","resolution":{"observed_at":"2026-08-04T22:45:42.647928Z","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":"2026-08-04T22:45:42.784382Z","title":"Greene, Moral tribes: Emotion, reason, and the gap between us and the.m New York, NY , USA: Penguin, 2013","venue":null,"work_id":"b2aaa8d6-e7be-4ee5-8803-e5f206cd1e33","year":2013},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.651612Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:7193a647d06d2d5dae6cfbff37200ff094c382544f1e0d68097f85c00f70c679","observation_id":"20044f8a-8d6f-48b2-825a-be17a73040b1","resolution":{"observed_at":"2026-08-04T22:45:42.788842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-04T22:45:42.770194Z","title":"The emotional dog and its rational tail: A social intuitionist approach to moral judgment,","venue":null,"work_id":"64f61f50-2d92-46f0-b9bd-dc644f8918ee","year":2001},"citing_paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-04T22:45:42.655050Z"},"links":{"citing_paper":"/paper/2509.07190"},"observation_digest":"sha256:d49cd5d24ec38802d5bdd2fb0b5eb96f7805f443c7cae463d9ead64076c78533","observation_id":"d9ee551f-a00a-427e-b9aa-4b21113387e6","resolution":{"observed_at":"2026-08-04T22:45:42.776406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.07190","last_updated":"2025-09-08T20:14:03Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T00:22:31.771423Z","submitted_at":"2025-09-08T20:14:03Z","title":"Rule-Based Moral Principles for Explaining Uncertainty in Natural Language Generation"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":0,"verified_fuzzy":34},"total_outbound_references":47},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2509.07190."}