Paper Citation Record · LEDGER

Uncertainty in Natural Language Generation: From Theory to Applications

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2307.15703.

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

pith.paper-citation-record.v1
2307.15703 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:07:43.566451Z

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

7
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 35ee8a27-a328-4445-afde-fff8cef09f52 · inbound

Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models cites this paper.

Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models Uncertainty in Natural Language Generation: From Theory to Applications

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:13:30.075256Z

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 f4ace10f-3980-45af-9bb5-c1fcdf6bfea3 · 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 Uncertainty in Natural Language Generation: From Theory to Applications

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:52:26.382148Z

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 e322adc0-90e4-4824-a0c7-7065f991d9e5 · inbound

Efficient Hallucination Detection for LLMs Using Uncertainty-Aware Attention Heads cites this paper.

Efficient Hallucination Detection for LLMs Using Uncertainty-Aware Attention Heads Uncertainty in Natural Language Generation: From Theory to Applications

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:43.566451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 902e44a9-05b4-4465-af69-1bb6ce4a38df · inbound

Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents cites this paper.

Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents Uncertainty in Natural Language Generation: From Theory to Applications

Reference 1990

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:17.822126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffa29d2d-38a2-4878-8e7e-764e3c6dddee · inbound

Large Language Models Can Be a Viable Substitute for Expert Political Surveys When a Shock Disrupts Traditional Measurement Approaches cites this paper.

Large Language Models Can Be a Viable Substitute for Expert Political Surveys When a Shock Disrupts Traditional Measurement Approaches Uncertainty in Natural Language Generation: From Theory to Applications

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:43.841041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22659387-9d50-4f37-a01d-edeaa016e923 · 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 Uncertainty in Natural Language Generation: From Theory to Applications

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-08T20:19:07.570337Z

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 43c22958-7ee0-4909-992a-2d5bb042fec6 · inbound

The Yes-Man Syndrome: Benchmarking Abstention in Embodied Robotic Agents cites this paper.

The Yes-Man Syndrome: Benchmarking Abstention in Embodied Robotic Agents Uncertainty in Natural Language Generation: From Theory to Applications

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:39:43.830061Z

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 21a9cf5a-97ff-46bf-be3a-1107ed5f07d1 · inbound

Clarify, Abstain or Answer? Strategising in Conversation with Belief-Augmented Generation cites this paper.

Clarify, Abstain or Answer? Strategising in Conversation with Belief-Augmented Generation Uncertainty in Natural Language Generation: From Theory to Applications

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:23:58.711228Z

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 9ad8c05c-b7eb-41d3-9cfa-b4b85bef5d66 · inbound

Epistemic Uncertainty Is Not the Reducible Kind cites this paper.

Epistemic Uncertainty Is Not the Reducible Kind Uncertainty in Natural Language Generation: From Theory to Applications

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-27T07:50:43.170645Z

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 ef1ae80f-81b7-4fd1-9948-83a10c9229cf · inbound

Uncertainty Decomposition for Clarification Seeking in LLM Agents cites this paper.

Uncertainty Decomposition for Clarification Seeking in LLM Agents Uncertainty in Natural Language Generation: From Theory to Applications

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:59:21.383248Z

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 b8cbafa2-8074-44ed-8f6a-b9f459988fe4 · inbound

When Calibration Rankings Reverse: Accuracy-Controlled Evaluation for Fair Comparison of LLMs cites this paper.

When Calibration Rankings Reverse: Accuracy-Controlled Evaluation for Fair Comparison of LLMs Uncertainty in Natural Language Generation: From Theory to Applications

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T12:15:43.650225Z

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.