Paper Citation Record · LEDGER

To Believe or Not to Believe Your LLM

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2406.02543.

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

pith.paper-citation-record.v1
2406.02543 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:50:05.889564Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:07:50.741485Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 60e8da2e-06b8-4349-ba0f-b1b734f0c2b2 · inbound

Calibrating LLMs with Information-Theoretic Evidential Deep Learning cites this paper.

Calibrating LLMs with Information-Theoretic Evidential Deep Learning To Believe or Not to Believe Your LLM

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T15:50:05.889564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d3a630b-e496-423c-8b3f-61f269d95b15 · inbound

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

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning To Believe or Not to Believe Your LLM

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:01:38.286476Z

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 4193df92-b908-4ae2-919f-fd27e3f135d4 · inbound

Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments cites this paper.

Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments To Believe or Not to Believe Your LLM

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:03:20.367111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6455d546-10f5-4f3b-9385-7f18bd762054 · inbound

Test-Time-Scaling for Zero-Shot Diagnosis with Visual-Language Reasoning cites this paper.

Test-Time-Scaling for Zero-Shot Diagnosis with Visual-Language Reasoning To Believe or Not to Believe Your LLM

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:36:07.388017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0321eac-8568-48eb-857a-296e255fb16a · inbound

SEAT: Sparse Entity-Aware Tuning for Knowledge Adaptation while Preserving Epistemic Abstention cites this paper.

SEAT: Sparse Entity-Aware Tuning for Knowledge Adaptation while Preserving Epistemic Abstention To Believe or Not to Believe Your LLM

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:37:14.182046Z

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 edf8ea62-d53a-4f2f-b2a6-4c2983aeac05 · inbound

Hallucination Detection with Small Language Models cites this paper.

Hallucination Detection with Small Language Models To Believe or Not to Believe Your LLM

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:43.619466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ff62c05-23b4-4075-9784-8bf86122db3c · inbound

Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution cites this paper.

Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution To Believe or Not to Believe Your LLM

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:37:28.631338Z

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 23e832cc-3c1a-4b0e-aba1-81091e0a07aa · inbound

Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution cites this paper.

Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution To Believe or Not to Believe Your LLM

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:10:10.491807Z

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 1a8beae8-61ae-4ae3-b7da-81b547dfa052 · inbound

Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation cites this paper.

Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation To Believe or Not to Believe Your LLM

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T21:28:17.698441Z

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 af29d2a5-5ee9-4901-aef7-b588ffedffc0 · inbound

LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy cites this paper.

LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy To Believe or Not to Believe Your LLM

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:11:09.073119Z

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 c36930fe-9836-4042-97ca-8751b0781f05 · inbound

LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy cites this paper.

LLMs Uncertainty Quantification via Adaptive Conformal Semantic Entropy To Believe or Not to Believe Your LLM

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:15:45.985970Z

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 0d327617-d40a-41fc-b479-8ff00b0eff6e · inbound

Epistemic Uncertainty for Test-Time Discovery cites this paper.

Epistemic Uncertainty for Test-Time Discovery To Believe or Not to Believe Your LLM

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:06.078040Z

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 5e17a959-98ec-4e5a-a224-23e1a6263e89 · inbound

Can LLMs Use Linguistic Uncertainty Markers to Reliably Reflect Intrinsic Confidence? cites this paper.

Can LLMs Use Linguistic Uncertainty Markers to Reliably Reflect Intrinsic Confidence? To Believe or Not to Believe Your LLM

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:23:24.392669Z

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 af76afb7-e0ad-41fd-b06c-a0720585e0e7 · inbound

DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations cites this paper.

DECK: A Consistency x Confidence Taxonomy of LLM Hallucinations To Believe or Not to Believe Your LLM

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:56:19.767997Z

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 eef2d9a4-8a6a-42cb-accb-0cdde6aba57a · inbound

Strategic Decision Support for AI Agents cites this paper.

Strategic Decision Support for AI Agents To Believe or Not to Believe Your LLM

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:37:56.294738Z

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 ead3727f-b6e4-43cd-a907-9f23b8903c54 · inbound

Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs cites this paper.

Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs To Believe or Not to Believe Your LLM

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:35:42.082800Z

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 b16a6bb8-a461-4513-8362-dca10d746f8e · inbound

SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation cites this paper.

SpanUQ: Span-Level Uncertainty Quantification for Large Language Model Generation To Believe or Not to Believe Your LLM

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-11T03:07:50.772587Z

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 6a687181-41be-402d-a7cb-4e8ec8c5012b · inbound

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models cites this paper.

Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models To Believe or Not to Believe Your LLM

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-01T23:43:10.432033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73187bc0-17e5-4f5d-835d-7f98602fef9c · inbound

Reliability Scales Inversely: Hallucinations Snowball Faster in Bigger Language Models cites this paper.

Reliability Scales Inversely: Hallucinations Snowball Faster in Bigger Language Models To Believe or Not to Believe Your LLM

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-02T09:19:45.971048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.