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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:44:20.844620Z

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

source=pdf_text observed=2026-05-23T00:26:46.078000Z digest=sha256:ccb034ae4d684231d9225121316ba2340544c2e83d888ee29cef8638ab6c89b2

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

source=pdf_text observed=2026-05-22T13:58:07.913104Z digest=sha256:9ba8f97877c376ce30e19d8e5df62bc2c52a9126eb5a7b7962549e9db654e541

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=sha256:3df889976bb8d0cae3987014f40d337b981b4dc79c7200d51f9aa600b7052c21

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=sha256:2c9e0e35e2f3a5186bff29ea269c8b0032f08c234e4200cd4360b567035e879a

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=sha256:3dd1893f4de2126d7f060155ca432cee451c88e4ecabe200830c391b4897fc80

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=sha256:324f20e387cd386ebf0865134205044f14dd5105c3ee6cf1dd5d78ac04ef8891

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:fefce744156fa0e8ec88b0e548d30812cd6437f89ab40a194bb11045c750c1be

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

source=pdf_text observed=2026-05-17T15:37:09.572241Z digest=sha256:47d4d8783d68a6755054a3efe8b25ff6d452007b1b7fe03e9e610d757546a1de

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

source=arxiv_source observed=2026-05-10T17:38:53.434978Z digest=sha256:7c16a2303e8dfa520c8d4a91b6331d56f3363c50153d6ba97530c3460c80f70e

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

source=pdf_text observed=2026-06-27T09:57:46.960346Z digest=sha256:36088c705a9fe208965eb92cfc5992bd7c099e031ac6984cc4fcf02c398db3a3