Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2412.05563.

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

pith.paper-citation-record.v1
2412.05563 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:33:53.523808Z

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

3
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 0184ac29-1a0c-44f0-bca7-f2a60c47d1fd · inbound

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis cites this paper.

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T16:33:53.523808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68c6dc13-b437-4209-88f2-01c45415c096 · inbound

LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:06:37.977969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b243e6ef-ed52-45c7-a122-9f6e8afe3b93 · inbound

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation cites this paper.

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:44.993999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eca5bd21-10f8-4cc3-91c8-1e66359ac523 · inbound

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models cites this paper.

Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T05:36:15.677482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a3d6b55-02b2-4f9b-b2ea-80a85786bd9f · inbound

Uncertainty-aware Reward Design Process cites this paper.

Uncertainty-aware Reward Design Process A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:39:14.548517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 28daabab-5e04-4fa2-bea7-63e49f2de664 · inbound

Measuring and mitigating overreliance to build human-compatible AI cites this paper.

Measuring and mitigating overreliance to build human-compatible AI A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 108

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:40:43.440871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 30d35822-1f5a-4383-9436-db609ad2a662 · inbound

INSIGHT: INference-time Sequence Introspection for Generating Help Triggers in Vision-Language-Action Models cites this paper.

INSIGHT: INference-time Sequence Introspection for Generating Help Triggers in Vision-Language-Action Models A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T12:59:11.944102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40c2a397-64ab-4dca-8fdc-a88a4630b6e5 · inbound

Check Yourself Before You Wreck Yourself: Selectively Quitting Improves LLM Agent Safety cites this paper.

Check Yourself Before You Wreck Yourself: Selectively Quitting Improves LLM Agent Safety A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T09:15:22.146386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63cae89f-0b9b-4e46-a40c-df5ce0a955c4 · inbound

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

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.571184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1ce7c9c4-499c-4b01-861c-74ae3bd97f5d · inbound

How Language Models Process Out-of-Distribution Inputs: A Two-Pathway Framework cites this paper.

How Language Models Process Out-of-Distribution Inputs: A Two-Pathway Framework A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:31:20.945486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 324327d3-1722-4a2a-9416-06b3f95e7492 · inbound

Zero-Shot Confidence Estimation for Small LLMs: When Supervised Baselines Aren't Worth Training cites this paper.

Zero-Shot Confidence Estimation for Small LLMs: When Supervised Baselines Aren't Worth Training A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:31:07.299146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 83cdd044-5dc8-4efb-82b1-01366504d43b · inbound

Gradients with Respect to Semantics Preserving Embeddings Tell the Uncertainty of Large Language Models cites this paper.

Gradients with Respect to Semantics Preserving Embeddings Tell the Uncertainty of Large Language Models A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-08T20:19:07.590953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b5541132-8ba6-41bc-9ce6-539d813973ce · inbound

Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models cites this paper.

Breaking the Chains of Probability: Neutrosophic Logic as a New Framework for Epistemic Uncertainty in Large Language Models A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:35:12.251597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 072f379e-0fee-4c6b-b28a-2f0133e56076 · inbound

Functional Entropy: Predicting Functional Correctness in LLM-Generated Code with Uncertainty Quantification cites this paper.

Functional Entropy: Predicting Functional Correctness in LLM-Generated Code with Uncertainty Quantification A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:23:27.721661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11879a95-9cb3-4e33-95d4-ee20649dae65 · inbound

DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations cites this paper.

DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:56:19.761102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f51b3232-56ce-43b6-b648-bb194e54bdcc · inbound

Conformalized Large Language Models under Configuration Shift cites this paper.

Conformalized Large Language Models under Configuration Shift A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T00:14:38.607121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9992bc64-2a82-43d6-a9d9-e9ecbefc59b0 · inbound

SAFECAST: Robust Failure Detection for VLA Policies with Contrast-Set Training and Calibration cites this paper.

SAFECAST: Robust Failure Detection for VLA Policies with Contrast-Set Training and Calibration A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T00:10:44.895880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.