Paper Citation Record · LEDGER

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.03998.

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

pith.paper-citation-record.v1
2507.03998 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:02:05.171757Z

measured 35 of 35 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

verified exact3
verified fuzzy2
unresolved30
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 80d7bcd0-a6fa-4ffc-bdbf-b4617b4a3373 · outbound

This paper cites GPT-4 Technical Report.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:02.283754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a644dcf8-2a35-4eb3-b87a-14498fef8f0c · outbound

This paper cites The Internal State of an LLM Knows When It's Lying.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features The Internal State of an LLM Knows When It's Lying

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:02.335029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eebc38a6-f9f1-417e-9e7a-0f27f52bba81 · outbound

This paper cites InternalInspector $I^2$: Robust Confidence Estimation in LLMs through Internal States.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features InternalInspector $I^2$: Robust Confidence Estimation in LLMs through Internal States

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:02:05.728853Z

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.

Observation 953ee811-2166-4887-924c-e850c7cd0007 · outbound

This paper cites an unresolved cited work.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:02:06.340192Z

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.

Observation e93b9b9f-f65d-4981-b6fc-4e3f0c8f749c · outbound

This paper cites Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:02.556618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4d19356-b096-4950-aaf1-8071567a1dc9 · outbound

This paper cites Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:02.628481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a0ff574-5027-4635-93c7-adcc7711ff17 · outbound

This paper cites an unresolved cited work.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:02.687911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f03233d6-e686-4d8b-98d2-af253524bde8 · outbound

This paper cites an unresolved cited work.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:02:06.226924Z

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.

Observation 28666912-cacc-44d0-b906-fa6aa2ed4d17 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Measuring Massive Multitask Language Understanding

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:02.858714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceec6d54-e018-468c-b56f-6535126cd147 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:02.947052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8f4b193-3d06-4809-833f-c1f35ce37c68 · outbound

This paper cites Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:02.991407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa071238-4343-41ff-93b3-ca24336a855e · outbound

This paper cites Mistral 7B.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Mistral 7B

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:03.068471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c2e5da4-d420-4b0d-85fe-43bd0d6b462e · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:03.137461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6f29327-b995-4e63-951e-97f6d4e74eac · outbound

This paper cites Language Models (Mostly) Know What They Know.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Language Models (Mostly) Know What They Know

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:03.211886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e2c1de0-b3d3-4fc7-8e3c-4a5bfea4eec0 · outbound

This paper cites Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:03.294619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a377624e-b875-47bc-9671-2011cbb73d47 · outbound

This paper cites RACE: Large-scale ReAding Comprehension Dataset From Examinations.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features RACE: Large-scale ReAding Comprehension Dataset From Examinations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:03.363761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7551d01-6aa7-470e-ac15-696d21f66965 · outbound

This paper cites an unresolved cited work.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:02:06.113917Z

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.

Observation 30c80118-ce6d-478c-9c1e-15d1cbaa210d · outbound

This paper cites Teaching Models to Express Their Uncertainty in Words.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Teaching Models to Express Their Uncertainty in Words

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:03.541321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b17c9acf-0644-4c32-a685-4e443213b19c · outbound

This paper cites On the Universal Truthfulness Hyperplane Inside LLMs.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features On the Universal Truthfulness Hyperplane Inside LLMs

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:02:05.529099Z

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.

Observation cbd4ea69-fb21-4cef-92dc-847cdc1947be · outbound

This paper cites Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:03.737332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdafd1a6-15e7-43d7-8e3b-0b9a827700cc · outbound

This paper cites an unresolved cited work.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:03.783796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b87c10a4-604a-4591-a4a0-073e52c37e09 · outbound

This paper cites Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:03.883695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca871a5d-765f-4354-a2d5-aba25d294792 · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:03.941514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4e1a4f5-c1f9-47f4-9f47-5c6de07407e1 · outbound

This paper cites an unresolved cited work.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:02:06.009609Z

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.

Observation 8efbff99-0652-481c-ad71-cdbb97f471da · outbound

This paper cites LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:04.089817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ae2504e-c9f4-4e76-85d8-aa864523a129 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:04.177558Z

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Observation a6c05c80-e2e6-448b-95ab-5513ee6d9834 · outbound

This paper cites L., Bhagavatula, C., and Choi, Y.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features L., Bhagavatula, C., and Choi, Y

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:05.912138Z

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.

Observation ed8ce9d0-a7ac-46ea-9fb3-f281328d91e2 · outbound

This paper cites S., and Gerli, A.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features S., and Gerli, A

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:02:05.826952Z

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.

Observation a0f2aee0-3dd8-4cce-b5c0-b5a84755ef37 · outbound

This paper cites A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:04.408969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0cc950a-840c-4caf-aa6b-69c0ca75f90c · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:04.504996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e177614a-fa33-4e22-bd4b-d0d1c9efca72 · outbound

This paper cites Calibrating Large Language Models Using Their Generations Only.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Calibrating Large Language Models Using Their Generations Only

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:04.556267Z

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Unavailable: canonical work link unavailable.

Observation 54f19e30-8fba-400d-842b-f3d0c71033f2 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:04.694751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7d6cac0-40df-4eec-91b6-64db3f5a2dcb · outbound

This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:04.895473Z

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Unavailable: canonical work link unavailable.

Observation 5758bc55-11c6-49eb-b9a4-53610d748c45 · outbound

This paper cites SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T20:02:05.089866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3c67bf2-ced8-420a-89f4-cd7977bde9b5 · outbound

This paper cites Prompt-Guided Internal States for Hallucination Detection of Large Language Models.

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features Prompt-Guided Internal States for Hallucination Detection of Large Language Models

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:02:05.326893Z

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.

Pith citing papers

No inbound Pith citation observations are available.