{"as_of":"2026-08-22T22:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8173dbfa59b2424569966ab1f9e8d5bb19c1648b81669cd8dbe498be8d912549","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T18:18:21.046829Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-03T16:59:43.458733Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T17:08:42.839650Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"cited_work":{"arxiv_id":"2507.18366","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.18366","snapshot_observed_at":"2026-07-07T03:18:47.796029Z","title":"Efficient uncertainty in llms through evidential knowledge distillation.arXiv preprint arXiv:2507.18366, 2025","venue":null,"work_id":"b1f4447a-6109-4399-a65e-578e048f1f61","year":2025},"citing_paper":{"arxiv_id":"2607.02182","last_updated":"2026-07-02T13:52:12Z","snapshot_observed_at":"2026-08-16T23:06:03.908021Z","submitted_at":"2026-07-02T13:52:12Z","title":"Bayesian Sparse Low-Rank Adaptation for Large Language Model Uncertainty Estimation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-03T16:59:43.458733Z"},"links":{"cited_paper":"/paper/2507.18366","citing_paper":"/paper/2607.02182"},"observation_digest":"sha256:735c1e6c18fd9076ed85fcaca409005bf344c279043567db033e9f840737c8aa","observation_id":"8e17a7ed-13aa-4fbb-ad9a-733d9b7158f5","resolution":{"observed_at":"2026-07-07T03:18:47.796029Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.18366/citation-record","integrity":"/paper/2507.18366/integrity","json":"/paper/2507.18366/citation-record.json","paper":"/paper/2507.18366"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:18:23.099422Z","title":"In: 2015 IEEE 14th international conference on machine learning and applications (ICMLA)","venue":null,"work_id":"2ee97e21-56a4-4d83-9321-47cb3a8677ba","year":2015},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.468701Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:4232828bb4196ccce399a3d76c6f7db3329a556b309ab885778aaed7c7ffb2b0","observation_id":"004282be-1972-4d5b-9f52-778bfdbf8009","resolution":{"observed_at":"2026-08-15T18:18:23.104530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:18:20.517186Z","title":"In: International conference on machine learning","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.517186Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:284839802f474680303f8eabe5a411de4a51b065a05b9b7c1d598af021ff539b","observation_id":"fd1848e5-9caf-4c6c-9631-c0ebdcf92566","resolution":{"observed_at":"2026-08-15T18:18:20.517186Z","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":"2026-08-15T18:18:23.002407Z","title":"In: Proceedings of the 41stInternationalConferenceonMachineLearning.ProceedingsofMachineLearn- ing Research, vol","venue":null,"work_id":"50421eca-cc0f-4a0d-b828-313fa4129019","year":2024},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.599621Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:240b047d013a368fee29c5eec7436f651dbef17bca578072c02e0ecc54f94a92","observation_id":"db428037-1624-49b7-86e6-d3ed16dd70a8","resolution":{"observed_at":"2026-08-15T18:18:23.041682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:18:20.637595Z","title":"Pattern Recognition Letters 27(8), 861–874 (2006).https://doi.org/https://doi.org/10.1016/j.patrec","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.637595Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:ef90115710e3bab62c0c2050f00774415ceaa5f532f7649ebaddb7f43f02eb5e","observation_id":"9bfcdcfc-025b-4343-b0ea-a5195110d454","resolution":{"observed_at":"2026-08-15T18:18:20.637595Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:18:20.642749Z","title":"In: Graham, Y., Purver, M","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.642749Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:6ab47bb93ee0902016c7ab2d4282aa9a0df9be44052edf669e6df99dbf164096","observation_id":"645f6583-b25c-4b4f-acb6-ac26be57d624","resolution":{"observed_at":"2026-08-15T18:18:20.642749Z","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":"2026-08-15T18:18:22.985771Z","title":"In: The Twelfth International Conference on Learning Representations (2024)","venue":null,"work_id":"372228ff-1498-4f87-9bf0-4fb36b1021af","year":2024},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.648491Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:bcd75193d0fcff04d5f26698bbadcbb2a76594b9ace5717fdd4ee9bf77b97fbf","observation_id":"c1969138-266c-4713-960b-9f0c1535d4f1","resolution":{"observed_at":"2026-08-15T18:18:22.991008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:18:20.653585Z","title":"In: Proceedings of the 25th In- ternational Conference on World Wide Web","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.653585Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:dfa8d94ff1dd2f5f20c702751b59c692459157f8a4c065311c31f5173138056f","observation_id":"34d9cd24-3aae-4d3c-8bac-75d1f2ca087b","resolution":{"observed_at":"2026-08-15T18:18:20.653585Z","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":"2026-08-15T18:18:22.942892Z","title":null,"venue":null,"work_id":"27327a2b-cd36-46c5-97e9-f16867845fce","year":2015},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.658150Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:5eb1d0a8c68a23a530b6f4daa5c5c8bffdbc073ebea313a90db8445d04e1c432","observation_id":"99fc6a4d-defb-40eb-837e-e3c757fec346","resolution":{"observed_at":"2026-08-15T18:18:22.972943Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:18:22.926301Z","title":"In: Proceedings of the 41st International Conference on Machine Learning","venue":null,"work_id":"353e273a-58ec-4c04-89df-b77a493a6403","year":2024},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.662912Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:1473b487e39fa9316ac4863821924d083b8de64426e264470dc42dcca185ec7c","observation_id":"1bbb2551-00aa-425b-bf8f-d739a3ecc494","resolution":{"observed_at":"2026-08-15T18:18:22.931603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:18:22.903914Z","title":null,"venue":null,"work_id":"c9ffce2d-3342-498a-8a97-c7026b9eeb8a","year":2021},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.669133Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:1f0e1ba6aee396c0bfb332939a01e942616821c42454db07eb83f5635af3bc18","observation_id":"92279f91-bcbb-447a-aee5-540d9e1c15f5","resolution":{"observed_at":"2026-08-15T18:18:22.915241Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:18:20.674317Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.674317Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:a136864023b37bce17e41f8e41ec8d3ae5ce200137d617e81770056ffcfef088","observation_id":"686ccc5a-0061-4001-bd67-7e365edad99a","resolution":{"observed_at":"2026-08-15T18:18:20.674317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06351","last_updated":"2025-02-11T07:06:40Z","snapshot_observed_at":"2026-08-21T09:09:48.510601Z","submitted_at":"2025-02-10T11:00:24Z","title":"Calibrating LLMs with Information-Theoretic Evidential Deep Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.06351","snapshot_observed_at":"2026-08-15T18:18:20.678711Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.678711Z"},"links":{"cited_paper":"/paper/2502.06351","citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:70f87f9f742035afc46de8a3426202eb9568ab58e202d64f36f751355b2fb84e","observation_id":"40dc2dc1-f34b-4b87-9ebb-949096457609","resolution":{"observed_at":"2026-08-15T18:18:20.678711Z","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":"2026-08-15T18:18:22.825805Z","title":"In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R","venue":null,"work_id":"8ce6d493-c6cc-4007-af77-06313fbca07f","year":2018},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.684473Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:959b5f481ee96247283b1ae221eb79a1aec2db8a7b01ea9982def5e8c46a62c3","observation_id":"c4a4b5e9-3f84-414c-a979-4f1e26aad455","resolution":{"observed_at":"2026-08-15T18:18:22.831203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:18:22.809788Z","title":"Springer (1996)","venue":null,"work_id":"b3f7bca1-62da-44b7-9c60-21edc81293df","year":1996},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.688935Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:75885b9b92cb3b99ac00e54c170b45afa0cc5639732aedc74238f6622b47beaa","observation_id":"21ef2652-6aff-4e5d-a58e-247ff034e64a","resolution":{"observed_at":"2026-08-15T18:18:22.814738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:18:22.768593Z","title":"In: Sixth Symposium on Advances in Approximate Bayesian Inference - Non Archival Track (2024) 18 L.S.H","venue":null,"work_id":"a2164a46-b367-4f84-a71a-901b976f0a35","year":2024},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.693729Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:3e454a647cf3fd03b1c52cfd73e9698713457fe19ea8a5d3468848da470154c8","observation_id":"0a2a954b-5a22-434d-87d0-a1f25df87c6a","resolution":{"observed_at":"2026-08-15T18:18:22.798834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:18:22.712440Z","title":"In: 6th International Conference on Learning Representations (2018)","venue":null,"work_id":"6a0da408-c077-4a33-a241-3e06884f4df0","year":2018},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.698663Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:faa62cb2aa662c6cc6e76314670b27503aeb9b066ff6db63c262ee5d11b346b1","observation_id":"23c348b1-9162-4e5e-8de9-e0a9e7db5e22","resolution":{"observed_at":"2026-08-15T18:18:22.717975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:18:22.695269Z","title":"In: Proceedings of the 32nd International Conference on Neural Information Processing Systems","venue":null,"work_id":"6e093a64-bb18-4215-909c-c1d4cfec26ef","year":2018},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.704765Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:f8fc1ece6abbf3b18fc8d1f6e774a7d04226f24f59859a24da1de14dba04ec52","observation_id":"4677df23-1c37-4936-95ca-46a7877c68e5","resolution":{"observed_at":"2026-08-15T18:18:22.701255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:18:22.471657Z","title":"In: The Thirty-ninth Annual Confer- ence on Neural Information Processing Systems (2025)","venue":null,"work_id":"b70cca78-68bd-4577-b8e4-29ca186f43a4","year":2025},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.709185Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:24ee819de086a12ed8cd85f4b5f059cd4ef2bc1ffac464621fc64fe511cf98a7","observation_id":"3847a8f8-b3ea-4f2a-9098-c2307239c553","resolution":{"observed_at":"2026-08-15T18:18:22.567002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:18:22.453249Z","title":"In: Yarowsky, D., Baldwin, T., Korhonen, A., Livescu, K., Bethard, S","venue":null,"work_id":"aeb0ba8e-5658-4387-8280-fbd6158950b5","year":2013},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.714161Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:2a1bebeef22b15f3d2f63a2eea69eb7a639f92babd0013dd3c52cb6d7b5500b6","observation_id":"64ee5f60-000a-4895-9d76-b34e032ad0b3","resolution":{"observed_at":"2026-08-15T18:18:22.459381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.23854","last_updated":"2025-05-29T02:04:49Z","snapshot_observed_at":"2026-08-16T10:59:56.107530Z","submitted_at":"2025-05-29T02:04:49Z","title":"Revisiting Uncertainty Estimation and Calibration of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.23854","snapshot_observed_at":"2026-08-15T18:18:20.760827Z","title":"arXiv preprint arXiv:2505.23854 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.760827Z"},"links":{"cited_paper":"/paper/2505.23854","citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:70e1ef20ffc4af793bec032f504dd53298c70613a66fd8e5a77085cb97e4089d","observation_id":"9b3d346c-f242-49e2-a541-b5f46b7c0465","resolution":{"observed_at":"2026-08-15T18:18:20.760827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:18:20.882529Z","title":"In: Ku, L.W., Martins, A., Srikumar, V","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:20.882529Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:fb29c604c37dbde4cac81c6e7577540cf70ad5c585841dcd2276d00cf32294cf","observation_id":"101efb4a-a792-4897-b558-a14d144252b5","resolution":{"observed_at":"2026-08-15T18:18:20.882529Z","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":"2505.19060","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:18:21.496830Z","title":"arXiv preprint arXiv:2505.19060 (May 2025)","venue":null,"work_id":"b2d1dda7-d446-4dcf-94a6-2bf794845e19","year":2025},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:21.006300Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:80c0f876e57671cf91e9ac02c719cb8b1a25ecf424d2ab0dc5bc58f90fa92ea8","observation_id":"f3ae90fa-df78-411d-b917-72b5e904960c","resolution":{"observed_at":"2026-08-15T18:18:21.610321Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.11731","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:18:21.338746Z","title":"arXiv preprint arXiv:2505.11731 (2025)","venue":null,"work_id":"0cd7050a-fcdf-4cdd-9b0f-feea8ea736fc","year":2025},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:21.011568Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:6686b519c5a1c9e7311455ea36edaede5ca4656b37c2e8913a28b2310264d8a7","observation_id":"aa3a48bd-c281-4485-8816-d86857c9f9b7","resolution":{"observed_at":"2026-08-15T18:18:21.413736Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:18:22.287657Z","title":"Grundlehren der mathematischen Wissenschaften, Springer Berlin Heidelberg (2008)","venue":null,"work_id":"042e51a6-f287-48b7-a899-7087fdec4080","year":2008},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:21.016369Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:86bacbc0978f307a2818459231b16a4970a5dd856eb35a86aeba8d1259e0dc56","observation_id":"fb6e0ef9-6194-4985-96ee-ed74e933d98d","resolution":{"observed_at":"2026-08-15T18:18:22.440834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:18:22.271729Z","title":"In: Kiyavash, N., Mooij, J.M","venue":null,"work_id":"e4faef8d-b5c5-4cfe-a616-e722db0b7f9c","year":2024},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:21.021725Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:6eb3037cf1aa0de0a89c39458560cdb8a53e3fc4c275656b81e318590211702b","observation_id":"c00059a3-776f-4b2b-882e-38778120fc30","resolution":{"observed_at":"2026-08-15T18:18:22.276727Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T18:18:21.026659Z","title":"In: Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J., Zhang, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:21.026659Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:e654122599d0d41ed83201679fedb0b4b6ffb018791586c038a6b61ead526c29","observation_id":"9108600a-005f-4043-a9d5-3c1a22d4d0e8","resolution":{"observed_at":"2026-08-15T18:18:21.026659Z","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":"2026-08-15T18:18:22.193352Z","title":"In: Proceedings of the 28th International Conference on International Confer- ence on Machine Learning","venue":null,"work_id":"f5489ded-a6d8-46d9-8f02-e830f15aabd9","year":2011},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:21.031657Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:7af22f350d8b588a76dd083ab0dfe8b3dfef17f19d6de3ffd813b1f1b75c95e1","observation_id":"5cad8dbe-a682-43eb-a017-5478676a0b4d","resolution":{"observed_at":"2026-08-15T18:18:22.258951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.00172","last_updated":"2025-05-28T18:33:52Z","snapshot_observed_at":"2026-08-19T04:53:39.758480Z","submitted_at":"2025-02-28T20:38:39Z","title":"A Survey of Uncertainty Estimation Methods on Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.00172","snapshot_observed_at":"2026-08-15T18:18:21.036255Z","title":"arXiv preprint arXiv:2503.00172 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:21.036255Z"},"links":{"cited_paper":"/paper/2503.00172","citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:3a594c90d64d28ac29aa9029ec442519fd2f2a20f60650c0651e4375414e1236","observation_id":"9d488475-94f0-4820-808e-054a1e89a4f2","resolution":{"observed_at":"2026-08-15T18:18:21.036255Z","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":"2026-08-15T18:18:22.102979Z","title":"In: Kim, B., Yue, Y., Chaudhuri, S., Fragkiadaki, K., Khan, M., Sun, Y","venue":null,"work_id":"8c94e8c5-49c5-4a7b-a804-648ba801a810","year":2024},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:21.042272Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:2fd71ed8428042511e3483dd01554430e324e6c833c1c89c533377a97dcb71ad","observation_id":"b32ac942-b282-4635-8768-358dc30b765e","resolution":{"observed_at":"2026-08-15T18:18:22.108497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T18:18:21.905594Z","title":null,"venue":null,"work_id":"672b1b18-d7b0-47c7-8dd2-3e690f0000bb","year":2015},"citing_paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T18:18:21.046829Z"},"links":{"citing_paper":"/paper/2507.18366"},"observation_digest":"sha256:655f0542d7dfa1fa789f96526523c6632a77a71a45e9a1f7f69c7261737eec82","observation_id":"2f818039-c5a5-471e-b8c2-771e36507eab","resolution":{"observed_at":"2026-08-15T18:18:22.008565Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.18366","last_updated":"2026-07-06T15:29:53Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T20:44:52.021765Z","submitted_at":"2025-07-24T12:46:40Z","title":"Toward Efficient Uncertainty in LLMs through Evidential Knowledge Distillation"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":2,"verified_fuzzy":15},"total_outbound_references":30},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2507.18366."}