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Paper Citation Record · LEDGER

Shapley Uncertainty in Natural Language Generation

As of 7 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 2026-08-07T06:34:17.273281+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:d3482158cb3404304cf58e84a18cb5ba135a9c605956b7e284b68299b6967e67

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:55:57.330045Z digest=sha256:70482fef32357e600bdbc6001d421b84797ddada3f4a7a7803cfe16275184819

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=sha256:2836cb36f2b0ad86f4ff40527eeb703d6360a322c002617fe50e709df97f9671

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=sha256:35f57dc75e7e9d8d2e5c58c6aa978cdeddd7e74b42f4e3b066d2212aa9b1b14f

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:e6e123861399aba4c26a635b86c7f216b7f28c348fb8814ad8e807630202b1b3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:55:58.091841Z digest=sha256:7645f114d6028600983478a1d78d060c42832ca08d5e9979ee5acb7e47eaf95a

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=sha256:65b8b444ca592fffc0415d6ddabc24a18488a21f0093214991ab73a33bd4c484

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:a95af80fe810cb27d9b5e1a2eeacabedaae62dc856890bc5aefe2a6579fd5cac

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=sha256:619a81a9151f74652d1dff467ba32ece0bb35c7a580e8cc9c54adc72d5ae7f67

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=sha256:6d14df4de2756e9abb319c8700fd9b31d72ac9a673f7ea8df0445e1d32f826ea

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=sha256:79c7dbc4f13ec2c71546dd7c1e5d400c6ee5ea8bcbb4be2eb4efbee11e3b45a0

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:fbe6ac116151c78ce5dadfa5933286abcec38f6401359b646971f4820be54f5b

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=sha256:10846845a9326083512bba98f2e1cc9ce5ce63920949b2ba6b6317680109f857