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Paper Citation Record · LEDGER

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning

As of 14 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2411.14465.

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

pith.paper-citation-record.v1
2411.14465 v1

Coverage vector

measured 25 of 25 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-12T18:25:29.592100Z

measured 25 of 25 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

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Reference resolution

25 of 25 outbound references displayed

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External citation measurements

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Outbound references

Observation 4600111c-2c87-48d9-ad79-84889fd50a87 · outbound

This paper cites GPT-4 Technical Report.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning GPT-4 Technical Report

Reference 1

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Observation b8684832-095d-4f2d-9fc1-b61bda01eb1b · outbound

This paper cites Chatgpt for good? on opportunities and challenges of large language models for education.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Chatgpt for good? on opportunities and challenges of large language models for education

Reference 2

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Observation e74afaba-005e-442f-af42-92dbc6dc0cc8 · outbound

This paper cites ToolQA: A Dataset for LLM Question Answering with External Tools.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning ToolQA: A Dataset for LLM Question Answering with External Tools

Reference 3

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Observation 5a3dfee9-d56d-4605-a5c6-7816ba5bd52c · outbound

This paper cites Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Reference 4

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Observation c5f820b0-d019-4e1b-989f-db6572011f0a · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Detecting hallucinations in large language models using semantic entropy

Reference 5

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Observation 0a093ec3-68f0-4289-916d-6342f071fd12 · outbound

This paper cites Lm-polygraph: Uncertainty estimation for language models,.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Lm-polygraph: Uncertainty estimation for language models,

Reference 6

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Observation d0152708-11ae-435b-86e7-19f7de06d2a6 · outbound

This paper cites Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods

Reference 7

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Observation cb08ddf2-89ec-42e2-82b8-c532ce921e01 · outbound

This paper cites A Survey of Uncertainty in Deep Neural Networks.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning A Survey of Uncertainty in Deep Neural Networks

Reference 8

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Observation 55368e46-ac2c-4210-9050-f37a335fc13c · outbound

This paper cites Rajendra Acharya, Vladimir Makarenkov, and Saeid Nahavandi.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Rajendra Acharya, Vladimir Makarenkov, and Saeid Nahavandi

Reference 9

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Observation 0f1572fb-58d2-4404-b373-e182d292856e · outbound

This paper cites Can multiple-choice questions really be useful in detecting the abilities of LLMs?.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Can multiple-choice questions really be useful in detecting the abilities of LLMs?

Reference 10

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Observation 5562830a-c740-4682-915b-4ab7391ea58b · outbound

This paper cites Uncertainty in deep learning.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Uncertainty in deep learning

Reference 11

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Observation b24be09f-1e13-47bc-917a-a05e59f803fd · outbound

This paper cites Buczek, C.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Buczek, C

Reference 12

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Observation 51ba95fc-5791-4edd-adbe-c4e44a1295db · outbound

This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning PIQA: Reasoning about Physical Commonsense in Natural Language

Reference 13

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Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Unresolved cited work

Reference 14

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Observation 228bc58e-3045-40f0-9e7c-fc018498873a · outbound

This paper cites Prompting.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Prompting

Reference 15

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Observation 45dba3bd-8f38-42e2-bbbf-e59f682a8e63 · outbound

This paper cites Alice in wonderland: Simple tasks showing complete reasoning breakdown in state-of-the-art large language models,.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Alice in wonderland: Simple tasks showing complete reasoning breakdown in state-of-the-art large language models,

Reference 16

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Observation 6cd8421b-53f3-4299-9ba9-97e1eb58384c · outbound

This paper cites Are Emergent Abilities in Large Language Models just In-Context Learning?.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Are Emergent Abilities in Large Language Models just In-Context Learning?

Reference 17

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This paper cites LLM In-Context Recall is Prompt Dependent.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning LLM In-Context Recall is Prompt Dependent

Reference 18

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Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Unresolved cited work

Reference 22

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Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Unresolved cited work

Reference 23

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Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Unresolved cited work

Reference 24

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This paper cites When the model consistently produces correct responses, both the entropy and the error rate are zero (accuracy equals 1).

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning When the model consistently produces correct responses, both the entropy and the error rate are zero (accuracy equals 1)

Reference 25

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This paper cites doi: 10.1007/s10994-021-05946-3.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning doi: 10.1007/s10994-021-05946-3

Reference 2021

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Observation 05736c71-da27-4540-a449-a669ca186508 · outbound

This paper cites LM-Polygraph: Uncertainty Estimation for Language Models.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning LM-Polygraph: Uncertainty Estimation for Language Models

Reference 2023

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Observation 7f8a9791-4b1a-4a39-be91-b2d4d9667c7a · outbound

This paper cites Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models.

Testing Uncertainty of Large Language Models for Physics Knowledge and Reasoning Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models

Reference 2024

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