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Paper Citation Record · LEDGER

Large Language Models Must Be Taught to Know What They Don't Know

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2406.08391.

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

pith.paper-citation-record.v1
2406.08391 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:31:17.616435Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:37:56.337688Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b705781b-a936-4aaa-86d1-f6e02ce8f128 · inbound

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models cites this paper.

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models Large Language Models Must Be Taught to Know What They Don't Know

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T16:31:17.616435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:31:17.616435Z digest=sha256:efd095a7dc930e9c536a2d54388ab3d7b6c34a39a17f0a90d78fc402ef44fd87

Observation df1bf2cc-8af8-48ea-a42e-e416268cab76 · inbound

A Showdown of ChatGPT vs DeepSeek in Solving Programming Tasks cites this paper.

A Showdown of ChatGPT vs DeepSeek in Solving Programming Tasks Large Language Models Must Be Taught to Know What They Don't Know

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:27:17.831574Z

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.

source=pdf_text observed=2026-05-23T00:26:46.078000Z digest=sha256:4fb2d483aee7a40e617febc0d2d5d5cc961d1e78b5ad81abe4921c7cfde244c7

Observation b5385b7a-0475-403e-ae20-a52316227076 · inbound

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning cites this paper.

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning Large Language Models Must Be Taught to Know What They Don't Know

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:01:38.305531Z

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.

source=pdf_text observed=2026-05-22T13:58:07.913104Z digest=sha256:c7ed2f297dd774199a789a88f9d32b51a79f0771a7cd1fe64d30e4a55f63a28b

Observation 3c6564ec-91bc-4d9d-af99-57ef7d96520b · inbound

Pretrained LLMs Learn Multiple Types of Uncertainty cites this paper.

Pretrained LLMs Learn Multiple Types of Uncertainty Large Language Models Must Be Taught to Know What They Don't Know

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T13:44:20.844620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:44:20.844620Z digest=sha256:af0cde585c5ec83bbb86f3b237e25c546c22a4fbc5b5760ba1c273bdebe5be14

Observation 59439465-68dc-4368-b170-1cfd2ac423ce · inbound

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

Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents Large Language Models Must Be Taught to Know What They Don't Know

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T13:08:18.941111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:08:18.941111Z digest=sha256:918577b551232c0ad7c2944cee3f52656242213d515e6fba428742e950760e78

Observation 85d6a046-4c52-4cdd-9759-3c62ae25e2aa · inbound

Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics cites this paper.

Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics Large Language Models Must Be Taught to Know What They Don't Know

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:07:28.701166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:07:28.701166Z digest=sha256:3a390df307821d3339ff60e80694dd26830f575924d8f8f619aadd0f3aaaaef7

Observation 58816b68-b7e5-419b-8284-91c49a142666 · inbound

Extending Epistemic Uncertainty Beyond Parameters Would Assist in Designing Reliable LLMs cites this paper.

Extending Epistemic Uncertainty Beyond Parameters Would Assist in Designing Reliable LLMs Large Language Models Must Be Taught to Know What They Don't Know

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:41:36.324879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:41:36.324879Z digest=sha256:4af497593add54383e73b5102d9a32ed2114069700b44b160d28cd20503688e7

Observation 38a486dd-c208-49f4-b7c9-3e54920403aa · inbound

AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions cites this paper.

AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions Large Language Models Must Be Taught to Know What They Don't Know

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:08.091030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:08.091030Z digest=sha256:e10147f1d2802f8747b544f598cd331d54d9a32ab31e8f73cdc9fa891daa79ca

Observation 0b8daf31-def1-479f-b0aa-f7965252f2b3 · inbound

Visual hallucination detection in large vision-language models via evidential conflict cites this paper.

Visual hallucination detection in large vision-language models via evidential conflict Large Language Models Must Be Taught to Know What They Don't Know

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T23:11:54.716209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:11:54.716209Z digest=sha256:aeb297d2d5718c841bcd75275a27fc19f2ef4f139c90975127565c4aee15dc6a

Observation 37cc1598-c81c-436c-b872-46a28a44d29e · inbound

WebSailor: Navigating Super-human Reasoning for Web Agent cites this paper.

WebSailor: Navigating Super-human Reasoning for Web Agent Large Language Models Must Be Taught to Know What They Don't Know

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-17T15:37:09.665055Z

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.

source=pdf_text observed=2026-05-17T15:37:09.572241Z digest=sha256:b48e866502c260a010c8305d65e4b3b87892bb374b1efd2f9bd1818f06216bb7

Observation 54eaf86f-2ae5-4c7b-9022-c9f67fda353d · inbound

Confident in a Confidence Score: Investigating the Sensitivity of Confidence Scores to Supervised Fine-Tuning cites this paper.

Confident in a Confidence Score: Investigating the Sensitivity of Confidence Scores to Supervised Fine-Tuning Large Language Models Must Be Taught to Know What They Don't Know

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:25:58.710807Z

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.

source=arxiv_source observed=2026-05-10T17:38:53.434978Z digest=sha256:f18d43000890ce3597c55091d1e1fdfa9a937af38b472ddba5d13213917dfff1

Observation 022d3e85-8dfe-47ce-a27e-7434673c86a8 · inbound

Strategic Decision Support for AI Agents cites this paper.

Strategic Decision Support for AI Agents Large Language Models Must Be Taught to Know What They Don't Know

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:37:56.339047Z

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.

source=pdf_text observed=2026-06-27T09:57:46.960346Z digest=sha256:003e893c882f3a35fceba757e411af7f0e653d702a1472c2d40605bcc9bc2334