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Paper Citation Record · LEDGER

Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.01126.

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

pith.paper-citation-record.v1
2502.01126 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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:12:11.740039Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:08:46.660526Z

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 bb3ea3df-bf2f-4af3-b0de-ea09f7ab73b9 · inbound

Inertia in Moral and Value Judgments of Large Language Models cites this paper.

Inertia in Moral and Value Judgments of Large Language Models Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:05:50.180363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-23T22:05:17.165589Z digest=sha256:7092358fd22aba5a24c228bfe79010aa7af3f78e699fbe689f2a84af7bb50127

Observation 43d71121-9bf3-4a26-abc6-13a748106daf · inbound

Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize? cites this paper.

Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize? Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T17:12:11.740039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:12:11.740039Z digest=sha256:27310dd70aa09d0b3e647657823bd759170b036b22f15e884a19119743c2ab01

Observation 28674834-87fb-4268-b088-ed8ee9b67625 · inbound

Generalization of Fine-Tuned Uncertainty Communication and Metacognition in Large Language Models cites this paper.

Generalization of Fine-Tuned Uncertainty Communication and Metacognition in Large Language Models Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences

Reference 701

Resolution
unresolved
no resolver link, observed 2026-08-04T13:32:26.582182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:32:26.582182Z digest=sha256:ddd51b0340535410a81b34ef6b0d9117104c5e4a0120b8b0a712632b176dccb9

Observation 1fd14fac-9697-41a6-aa7a-98d5603db9b9 · inbound

CLSGen: A Dual-Head Fine-Tuning Framework for Joint Probabilistic Classification and Verbalized Explanation cites this paper.

CLSGen: A Dual-Head Fine-Tuning Framework for Joint Probabilistic Classification and Verbalized Explanation Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:36:01.641462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:57:23.435736Z digest=sha256:0f62deade295d0409ac1be2b725b42d0a8dd295cb59f1c2602ffbacf24a494c2

Observation e72eaddd-d3d4-4942-a0af-23b64811a8ff · inbound

Quantifying Consistency in LLM Logical Reasoning via Structural Uncertainty cites this paper.

Quantifying Consistency in LLM Logical Reasoning via Structural Uncertainty Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-03T18:08:46.662298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T03:18:22.813002Z digest=sha256:6b6a9401156924738ad3aaff1cfab64d5c720307ab707069e1a2c5f20226e9bd

Observation 7bf6f57f-3570-48dd-bb75-b70e9ef523d9 · inbound

MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation cites this paper.

MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences

Reference 124

Resolution
unresolved
no resolver link, observed 2026-07-31T21:55:17.528034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T21:55:17.528034Z digest=sha256:f5bf3669e909ca2fa4cdf1b83ea93b033045b88ebed7d8ae7cf2044d58fc7737