Paper Citation Record · LEDGER

Estimating LLM Uncertainty with Evidence

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2502.00290.

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

pith.paper-citation-record.v1
2502.00290 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:42:51.904889Z

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 a74aa3d1-f810-4021-bcd1-0aaa22737640 · 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 Estimating LLM Uncertainty with Evidence

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T12:59:13.074740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86574f10-0733-4eec-bae3-0dbcb32806ae · inbound

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

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification Estimating LLM Uncertainty with Evidence

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.562358Z

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 cf013c7b-ee07-4188-b2de-73a7e1041c6a · inbound

WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent cites this paper.

WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent Estimating LLM Uncertainty with Evidence

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-10T04:55:34.814992Z

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 d2b49091-b85b-4cb2-9767-1f117f1cb5ea · inbound

Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models cites this paper.

Uncertainty-Aware Exploratory Direct Preference Optimization for Multimodal Large Language Models Estimating LLM Uncertainty with Evidence

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:51:09.475221Z

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 6ba09d37-047a-4529-8ee3-7d13b0252693 · inbound

Estimating the Black-box LLM Uncertainty with Distribution-Aligned Adversarial Distillation cites this paper.

Estimating the Black-box LLM Uncertainty with Distribution-Aligned Adversarial Distillation Estimating LLM Uncertainty with Evidence

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:46:15.050408Z

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 45f8ff32-e5a2-4cb4-8a5d-b133e6ed93e2 · inbound

Towards Generation-Efficient Uncertainty Estimation in Large Language Models cites this paper.

Towards Generation-Efficient Uncertainty Estimation in Large Language Models Estimating LLM Uncertainty with Evidence

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:46:09.744926Z

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 19c28453-71f1-49eb-a6d8-8c80b402c7cf · inbound

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering cites this paper.

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering Estimating LLM Uncertainty with Evidence

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:53:59.114874Z

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 f6a1cdf3-60d0-4571-93f0-2ae38a2a1b73 · inbound

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering cites this paper.

VIHD: Visual Intervention-based Hallucination Detection for Medical Visual Question Answering Estimating LLM Uncertainty with Evidence

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:34:57.401551Z

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 a8acfb39-db46-4341-b2f0-8b721e0ca486 · inbound

From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems cites this paper.

From Accuracy to Auditability: A Survey of Determinism in Financial AI Systems Estimating LLM Uncertainty with Evidence

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T14:05:45.794051Z

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 dfbd8d8a-4ba6-45d4-a40e-cf096d839a3c · inbound

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs cites this paper.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Estimating LLM Uncertainty with Evidence

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:56:28.937475Z

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 1de4ce3b-2482-4863-881c-857fafb76c63 · inbound

Quantifying Consistency in LLM Logical Reasoning via Structural Uncertainty cites this paper.

Quantifying Consistency in LLM Logical Reasoning via Structural Uncertainty Estimating LLM Uncertainty with Evidence

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:08:46.661580Z

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 500f4404-1869-4720-b905-da3d1518b367 · inbound

Uncertainty Quantification for Flow-Based Vision-Language-Action Models cites this paper.

Uncertainty Quantification for Flow-Based Vision-Language-Action Models Estimating LLM Uncertainty with Evidence

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:18:58.729466Z

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 7ecb2ac6-962a-4510-95ce-117da5ea64a3 · inbound

LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data cites this paper.

LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data Estimating LLM Uncertainty with Evidence

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:49:19.124475Z

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 bf4e81a8-8231-4cb9-83e4-18991d76f930 · inbound

Can You Trust the Confidence? ConfBench for Vision-Language Models on Document Extraction cites this paper.

Can You Trust the Confidence? ConfBench for Vision-Language Models on Document Extraction Estimating LLM Uncertainty with Evidence

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T20:42:51.904889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.