Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Evaluation of Estimative Uncertainty in Large Language Models
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.15185.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:37:55.111397Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T10:35:42.092833Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation b1682ed0-3cff-466f-bf86-50c26400b7e1 · inbound
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions cites this paper.
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions An Evaluation of Estimative Uncertainty in Large Language Models
Reference 197
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:37:55.111397Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47077c10-440d-4a45-8584-c3011a801481 · inbound
ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation cites this paper.
ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation An Evaluation of Estimative Uncertainty in Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:56:44.968652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bf083f1-b564-47bc-a6ea-d2d2109194a6 · inbound
Diagnosing Failures in Large Language Models' Answers: Integrating Error Attribution into Evaluation Framework cites this paper.
Diagnosing Failures in Large Language Models' Answers: Integrating Error Attribution into Evaluation Framework An Evaluation of Estimative Uncertainty in Large Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:23:32.007106Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3e5dfe3-5307-498e-b829-7314adba414b · inbound
Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs cites this paper.
Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs An Evaluation of Estimative Uncertainty in Large Language Models
Reference 95
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:35:42.094551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.