Paper Citation Record · LEDGER

LM-Polygraph: Uncertainty Estimation for Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2311.07383.

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

pith.paper-citation-record.v1
2311.07383 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:31.679535Z

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

0
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 905a5499-2f73-4a42-851f-d0c4de97c938 · inbound

Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models cites this paper.

Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models LM-Polygraph: Uncertainty Estimation for Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:52:26.036884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 147a9f44-3ac0-4450-8d3a-88f847a284b9 · inbound

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks cites this paper.

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks LM-Polygraph: Uncertainty Estimation for Language Models

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:31.679535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6febb970-377e-454f-99fa-5a37365111d7 · inbound

Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration cites this paper.

Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration LM-Polygraph: Uncertainty Estimation for Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T12:46:01.606511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3939a02-5e72-4219-93ff-464658a9f5c5 · inbound

Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning cites this paper.

Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning LM-Polygraph: Uncertainty Estimation for Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T11:39:47.734879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25873bea-b6df-43b4-8fc5-b8e015fe32dc · inbound

Unsupervised Hallucination Detection by Inspecting Reasoning Processes cites this paper.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes LM-Polygraph: Uncertainty Estimation for Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T18:25:37.344037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a5f9950-dbee-402b-8bf0-c981e0737097 · 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 LM-Polygraph: Uncertainty Estimation for Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T09:15:21.100078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cef30ed-e453-4dec-9466-90205acd7df6 · inbound

From Retinal Evidence to Safe Decisions: RETINA-SAFE and ECRT for Hallucination Risk Triage in Medical LLMs cites this paper.

From Retinal Evidence to Safe Decisions: RETINA-SAFE and ECRT for Hallucination Risk Triage in Medical LLMs LM-Polygraph: Uncertainty Estimation for Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T20:00:45.296962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8e2f7009-552c-4ade-9721-c0d8d16d5222 · inbound

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

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification LM-Polygraph: Uncertainty Estimation for Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:31:30.587858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ec4cee7d-3d18-416b-827c-ed76ce06b651 · inbound

Uncertainty Quantification for Computer-Use Agents: A Benchmark across Vision-Language Models and GUI Grounding Datasets cites this paper.

Uncertainty Quantification for Computer-Use Agents: A Benchmark across Vision-Language Models and GUI Grounding Datasets LM-Polygraph: Uncertainty Estimation for Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T19:50:10.515212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1fb6c34c-5c0b-4f17-b0a7-3fed5a8c753f · inbound

UHP Detection: LVLMs have their Unique Hallucination Pattern in the Consistency Space cites this paper.

UHP Detection: LVLMs have their Unique Hallucination Pattern in the Consistency Space LM-Polygraph: Uncertainty Estimation for Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T11:53:24.733686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.