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Paper Citation Record · LEDGER

An Evaluation of Estimative Uncertainty in Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.15185.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2405.15185 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:44.968652Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-07T11:56:44.968652Z digest=sha256:c4dcf5e0295f9acb607cfefd6de2a2f86a94f13a34660a35883b5890b163dfe1

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.

source=arxiv_source observed=2026-08-06T18:23:32.007106Z digest=sha256:3e8bf3b50bbf7dab247835d7b735cb1d5f811102e1511d4520615ed1a036c6d3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T05:22:38.232552Z digest=sha256:21e3c61902c76d71f362052cf2fb9bc4ddbbbffdb9accf4dfb9fb087f14f7391