Paper Citation Record · LEDGER

Thermometer: Towards Universal Calibration for Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2403.08819.

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

pith.paper-citation-record.v1
2403.08819 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:07:14.385726Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6ca28ebb-515d-47c6-a0af-2556f5a1df72 · inbound

Knowledge Boundary of Large Language Models: A Survey cites this paper.

Knowledge Boundary of Large Language Models: A Survey Thermometer: Towards Universal Calibration for Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T14:07:14.385726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63a1bb91-648e-4bfd-8ae3-7a60e6c33297 · inbound

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

Towards Harmonized Uncertainty Estimation for Large Language Models Thermometer: Towards Universal Calibration for Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.485623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12576635-f91a-4a4f-9475-6f495a25b7b2 · inbound

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? cites this paper.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Thermometer: Towards Universal Calibration for Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:12.698057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13123c1d-e4be-4616-b5c4-c48acce1a9aa · inbound

Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution cites this paper.

Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution Thermometer: Towards Universal Calibration for Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T22:54:25.079218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b9dc4ac-7e07-47d2-aa6b-df7f43671200 · inbound

Insights into User Interface Innovations from a Design Thinking Workshop at deRSE25 cites this paper.

Insights into User Interface Innovations from a Design Thinking Workshop at deRSE25 Thermometer: Towards Universal Calibration for Large Language Models

Reference 1987

Resolution: unresolved; no resolver link, observed 2026-08-05T16:15:38.387545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f4aa9d9-897b-4962-9273-2271b2e68222 · inbound

CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models cites this paper.

CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models Thermometer: Towards Universal Calibration for Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T18:53:02.742636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4904710-1229-4c68-8d01-5b32f88ff9f0 · inbound

The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling cites this paper.

The Well-Tempered Classifier: Some Elementary Properties of Temperature Scaling Thermometer: Towards Universal Calibration for Large Language Models

Reference 1978

Resolution: unresolved; no resolver link, observed 2026-08-02T23:14:39.507295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45844de7-df57-4c1c-9478-0cdc85e30134 · inbound

Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space cites this paper.

Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space Thermometer: Towards Universal Calibration for Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T18:16:33.382429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4200b305-bba2-4c08-a1c7-30b03acd1c6b · inbound

Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation cites this paper.

Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation Thermometer: Towards Universal Calibration for Large Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T21:28:17.720506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 080bbfe9-ff9e-4bed-92d7-1147d9542dfb · inbound

Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication cites this paper.

Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication Thermometer: Towards Universal Calibration for Large Language Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-10T02:11:57.293912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8bcaf9d2-095f-421b-ae27-92c868321fe7 · inbound

Inducing Artificial Uncertainty in Language Models cites this paper.

Inducing Artificial Uncertainty in Language Models Thermometer: Towards Universal Calibration for Large Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:12:55.364521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b56c1917-6c4e-41e6-bc49-cd7948e331a5 · inbound

Can LLMs Use Linguistic Uncertainty Markers to Reliably Reflect Intrinsic Confidence? cites this paper.

Can LLMs Use Linguistic Uncertainty Markers to Reliably Reflect Intrinsic Confidence? Thermometer: Towards Universal Calibration for Large Language Models

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:23:24.418967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c43a8b4a-a95e-4633-b093-607f86652094 · 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 Thermometer: Towards Universal Calibration for Large Language Models

Reference 83

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T10:35:42.097153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.