Paper Citation Record · LEDGER

Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2404.15993.

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

pith.paper-citation-record.v1
2404.15993 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:16:55.465197Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T10:04:51.519519Z

Reference resolution

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verified exact0
verified fuzzy0
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External citation measurements

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Outbound references

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Pith citing papers

Observation 69de59dc-4ea0-4895-86e9-b3328902f482 · inbound

Assessing GPT Model Uncertainty in Mathematical OCR Tasks via Entropy Analysis cites this paper.

Assessing GPT Model Uncertainty in Mathematical OCR Tasks via Entropy Analysis Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 23

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Source-reported events for the cited work

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Observation 54e51b9a-897a-46df-b464-811b7534943a · inbound

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

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 129

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Observation c2adc72e-fe00-48b3-b683-dbe67962443f · inbound

ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports cites this paper.

ReXTrust: A Model for Fine-Grained Hallucination Detection in AI-Generated Radiology Reports Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 27

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Observation 5b821494-1088-44df-8176-a17f2a9289fd · inbound

Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization cites this paper.

Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 2017

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Observation 6d2cdb81-a076-488c-b72b-0b8d5f0ce0bd · inbound

Confidence Elicitation: A New Attack Vector for Large Language Models cites this paper.

Confidence Elicitation: A New Attack Vector for Large Language Models Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 34

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Observation abdf5efc-8159-4cc8-8fd1-ea5087a9f8aa · inbound

Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement cites this paper.

Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 56

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Observation d6d45596-5643-467d-8f22-dd6910afbbf4 · inbound

Performance Gains of LLMs With Humans in a World of LLMs Versus Humans cites this paper.

Performance Gains of LLMs With Humans in a World of LLMs Versus Humans Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 14

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Observation 70051b66-f5c6-4b98-b3ea-d0c52ea3aa45 · inbound

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion cites this paper.

EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 41

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Observation ce0d25f6-6fa4-404f-ba4b-9f994604945a · inbound

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools cites this paper.

Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 12

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Observation ab5aa21b-a4f6-4dfc-bdf7-a941a5523d4e · inbound

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

Towards Harmonized Uncertainty Estimation for Large Language Models Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.437020Z

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Observation 8f7b23fa-2184-4464-a311-2d9a6e5d2f00 · inbound

Revisiting Uncertainty Estimation and Calibration of Large Language Models cites this paper.

Revisiting Uncertainty Estimation and Calibration of Large Language Models Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T12:59:42.079253Z

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Observation 17fdfe30-5bbb-43e3-a8f2-d99dd7f1239f · inbound

Large Language Models Can Be a Viable Substitute for Expert Political Surveys When a Shock Disrupts Traditional Measurement Approaches cites this paper.

Large Language Models Can Be a Viable Substitute for Expert Political Surveys When a Shock Disrupts Traditional Measurement Approaches Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:45.159146Z

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Observation 2475d0c7-9fc0-49f6-a163-34de5c1ca0fa · inbound

From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered cites this paper.

From Calibration to Collaboration: LLM Uncertainty Quantification Should Be More Human-Centered Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 16

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Observation 22421ce5-56e6-46f1-9212-0e790fd59994 · inbound

Uncertainty-Aware Complex Scientific Table Data Extraction cites this paper.

Uncertainty-Aware Complex Scientific Table Data Extraction Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T20:58:54.409995Z

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Observation 7ab894c6-ff4d-4221-a106-423e766eefcb · inbound

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:47.947454Z

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

Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features cites this paper.

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

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Observation aca7c2a6-718a-4689-81ed-a4333f22ffbc · inbound

Shapley Uncertainty in Natural Language Generation cites this paper.

Shapley Uncertainty in Natural Language Generation Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 2024

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Observation 36accc4f-419d-4858-abc1-ee967b7752a8 · inbound

Open-Source Agentic Hybrid RAG Framework for Scientific Literature Review cites this paper.

Open-Source Agentic Hybrid RAG Framework for Scientific Literature Review Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T11:12:15.900268Z

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Observation 8cde6acc-ab9e-4587-bf55-641c89b5c169 · inbound

Uncertainty Under the Curve: A Sequence-Level Entropy Area Metric for Reasoning LLM cites this paper.

Uncertainty Under the Curve: A Sequence-Level Entropy Area Metric for Reasoning LLM Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T15:11:01.088936Z

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Observation 3457ea5c-c392-477e-920b-5fa56fbc2fc4 · inbound

GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models cites this paper.

GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T21:33:54.280366Z

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Observation e5622a6c-cb9e-46d3-bc57-3b245ac5154b · inbound

HaluNet: Learning Hallucination Risk from Internal Signals in LLM Question Answering cites this paper.

HaluNet: Learning Hallucination Risk from Internal Signals in LLM Question Answering Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T13:21:33.671502Z

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Observation 6a30eb6c-d874-4b0c-95c3-233e0ad48ad5 · inbound

Learning Uncertainty from Sequential Internal Dispersion in Large Language Models cites this paper.

Learning Uncertainty from Sequential Internal Dispersion in Large Language Models Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:37:53.983398Z

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Observation ce051ced-2659-4b91-ba2a-8c99f4588075 · inbound

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification cites this paper.

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.548465Z

Source-reported events for the cited work

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Observation 36ad95b3-9518-4c7f-9dfd-77c13cf84ad7 · inbound

Reading Calibrated Uncertainty from Language Model Trajectories cites this paper.

Reading Calibrated Uncertainty from Language Model Trajectories Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:45:23.905431Z

Source-reported events for the cited work

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Observation 54855121-e02d-440d-b73b-7001781738d2 · inbound

Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text cites this paper.

Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 4

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 77ff513d-b2c3-41d1-b6eb-7ffe8d444099 · inbound

Strategic Decision Support for AI Agents cites this paper.

Strategic Decision Support for AI Agents Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:37:56.502668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b90e38c6-085c-4365-986c-2ebc94568d6d · inbound

The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification for Large Language Models cites this paper.

The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification for Large Language Models Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:09:45.348907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3b703698-df45-462a-ac0f-fccdb6c2f12c · inbound

Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs cites this paper.

Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-08T10:04:51.521650Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 36e764ae-d1f3-435c-a25b-8f8b54ad4cbf · inbound

Code-MUE: Measuring Code LLMs' Uncertainty through Execution-based Semantic Interaction Graphs cites this paper.

Code-MUE: Measuring Code LLMs' Uncertainty through Execution-based Semantic Interaction Graphs Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T06:42:27.284037Z

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Unavailable: canonical work link unavailable.

Observation ddc792b5-aaca-4b1a-884d-c2030334f8d5 · inbound

Uncertainty-Aware Trust Estimation for Multi-LLM Systems via Structured Expert Judgement cites this paper.

Uncertainty-Aware Trust Estimation for Multi-LLM Systems via Structured Expert Judgement Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T07:46:11.818656Z

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Unavailable: canonical work link unavailable.