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Paper Citation Record · LEDGER

Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.10315.

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

pith.paper-citation-record.v1
2404.10315 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:25:22.376995Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T12:59:52.891053Z

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 b62a15d9-523a-42d9-aa0e-31b0741e5558 · inbound

Towards Harmonized Uncertainty Estimation for Large Language Models cites this paper.

Towards Harmonized Uncertainty Estimation for Large Language Models Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:25:22.376995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:25:22.376995Z digest=sha256:eab69ea17f9aa2a940537801b696e3c497ea8c126f77ca181f568d46d9356100

Observation ddb8201a-3204-421c-a040-c2869c601d27 · inbound

LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generations cites this paper.

LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form Generations Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-19T12:47:17.979287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T12:43:51.019983Z digest=sha256:da320b0173ee0a9d4f9e6a89548a15947df809015371afa98b14b99fbda26ce8

Observation 511b36fd-5ad5-462b-b263-ee8f30f86034 · inbound

Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics cites this paper.

Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:07:28.312554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:07:28.312554Z digest=sha256:a0823b44b7d1d0fd7b0808eb18663069c0a8025714d3ce733a1637ade42ebc86

Observation 858769f4-a8f4-461d-a79e-c85c7ddd6ae3 · inbound

Confident in a Confidence Score: Investigating the Sensitivity of Confidence Scores to Supervised Fine-Tuning cites this paper.

Confident in a Confidence Score: Investigating the Sensitivity of Confidence Scores to Supervised Fine-Tuning Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:25:58.722413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T17:38:53.434978Z digest=sha256:7baaf564099c522f919dc3eeb9bf51e737f60eea202fa231b8ea7a1798fb0aa8

Observation 1cdb34c0-bea1-4a2e-88bb-51c9e8898260 · inbound

ConSteer-RL: Steering Reasoning Capabilities in Large Language Models via Confidence-Aware Reinforcement Learning cites this paper.

ConSteer-RL: Steering Reasoning Capabilities in Large Language Models via Confidence-Aware Reinforcement Learning Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T21:07:23.894907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T19:56:09.820812Z digest=sha256:9ecc196552422124680e2cee2ee8a02ee3b1d4c8576838845e2c4812e01f2da8

Observation 5bdd9f8c-0d15-4ded-80de-280e49165f8b · inbound

Just how sure are you? Improving Verbalized Uncertainty Calibration in Medical VQA cites this paper.

Just how sure are you? Improving Verbalized Uncertainty Calibration in Medical VQA Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T12:59:52.892297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T05:35:35.054964Z digest=sha256:eb68277f880e7eb1e570ad66665d85acc3613480d56c9db8c7e2362a222574bc