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Paper Citation Record · LEDGER

Shapley Uncertainty in Natural Language Generation

As of 17 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2507.21406.

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

pith.paper-citation-record.v1
2507.21406 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:55:58.331495Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:46:58.674275Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f83ed041-8f4c-4561-929b-9ba206e30c06 · outbound

This paper cites Conformal Prediction with Large Language Models for Multi-Choice Question Answering.

Shapley Uncertainty in Natural Language Generation Conformal Prediction with Large Language Models for Multi-Choice Question Answering

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T12:55:57.252263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:55:57.252263Z digest=sha256:f2a907261022890b60c9e975dc91928dcf58d3b0a16c684a496fbb5d06594a64

Observation c4548c2b-4c98-4ef3-b291-8a0810413240 · outbound

This paper cites In Proceedings of the 57th Annual Meeting of the Association for Computa- tional Linguistics, pages 6086–6096, Florence, Italy.

Shapley Uncertainty in Natural Language Generation In Proceedings of the 57th Annual Meeting of the Association for Computa- tional Linguistics, pages 6086–6096, Florence, Italy

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:55:58.768734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T12:55:57.330045Z digest=sha256:e5372190c457ea78a48ab0162319440adfe4a42eadf29e389e04d64a29d42ef7

Observation 4c1109f3-965f-40b0-97f9-5abc49f20fe2 · outbound

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

Shapley Uncertainty in Natural Language Generation SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T12:55:57.561748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:55:57.561748Z digest=sha256:64e1752b2d229929efe5d4db4bb3eba6e7bbba989bd6c42fafc3a69c0ea8c633

Observation f71c5ceb-f192-4e72-9e21-84fafdc48b91 · outbound

This paper cites Conformal Language Modeling.

Shapley Uncertainty in Natural Language Generation Conformal Language Modeling

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T12:55:57.824380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:55:57.824380Z digest=sha256:6c4f2173c8bd5d79e19399550d87e7c467180541434103594a86fcc56a46c50f

Observation d9b0ec51-1502-4a18-bc82-6f336da135e3 · outbound

This paper cites Re-Examining Calibration: The Case of Question Answering.

Shapley Uncertainty in Natural Language Generation Re-Examining Calibration: The Case of Question Answering

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T12:55:57.946586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:55:57.946586Z digest=sha256:0f00264c1a1154576b7385d8d9bfa6741289e0a1c2e44f3ae2c886ada28c2fbb

Observation 6a24887f-8331-471a-afbc-3f91a4d09adc · outbound

This paper cites Reducing LLM Hallucinations using Epistemic Neural Networks.

Shapley Uncertainty in Natural Language Generation Reducing LLM Hallucinations using Epistemic Neural Networks

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T12:55:58.510301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T12:55:58.091841Z digest=sha256:77ee25fa5de5a754a6fb716f2c7bffd72e3484b23d321360a49adbc75d77f2dc

Observation 1ce528fa-cda8-4ad3-9b89-3cc3e1110a11 · outbound

This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.

Shapley Uncertainty in Natural Language Generation Hallucination is Inevitable: An Innate Limitation of Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T12:55:58.215337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:55:58.215337Z digest=sha256:15f80b0dd6286fdfb9252e0c2d015b36d4c2769b14e6fac3ce2b5d790b65b78f

Observation 2747ed63-94ab-4279-9319-b9dc3475b8fe · outbound

This paper cites A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks.

Shapley Uncertainty in Natural Language Generation A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-06T12:55:57.218976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:55:57.218976Z digest=sha256:a00d2b5a8a81a3295804d476b7d75f084cd4b6b556a11169589a1a605ee4e076

Observation 48e9aed8-a786-4985-8e97-ca104f4f2d9b · outbound

This paper cites Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A.

Shapley Uncertainty in Natural Language Generation Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T12:55:57.711866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:55:57.711866Z digest=sha256:28d04079e387a79b9958fa1df16f710c35a8d56d84d7520d4b163cf5e105c8bb

Observation 2738e953-70c7-4e75-adba-7a2da29cce94 · outbound

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

Shapley Uncertainty in Natural Language Generation The Internal State of an LLM Knows When It's Lying

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T12:55:57.110683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:55:57.110683Z digest=sha256:bf0af4e55f03fb509c29e3b1984f7f1f9325138eb4fdbb3384421d094e7607bc

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

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

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

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T12:55:57.454216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:55:57.454216Z digest=sha256:f87b04774447f343e4fa286f685405da5c399c3fcae3d8cc43b710a737b3b85e

Observation 31aeb051-80ed-42d9-b2cd-c9f9c9a4a1e7 · outbound

This paper cites Qwen2.5-1M Technical Report.

Shapley Uncertainty in Natural Language Generation Qwen2.5-1M Technical Report

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T12:55:58.331495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:55:58.331495Z digest=sha256:4cc063af0c69787fecbf8e0a61ed6f69515a94dd965da326768b16c98ab0ce10

Pith citing papers

Observation c1260ad4-8000-469e-9029-09e110e06cce · inbound

Beyond Semantic Equivalence: Logical Graphs for LLM Uncertainty Quantification cites this paper.

Beyond Semantic Equivalence: Logical Graphs for LLM Uncertainty Quantification Shapley Uncertainty in Natural Language Generation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T19:46:58.674275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:46:58.674275Z digest=sha256:973b4ce6c9386d1f7eaea89c4db348643af8f7c42f02e5f1bab36d5e82c2e22e