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Paper Citation Record · LEDGER

Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2402.12563.

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

pith.paper-citation-record.v1
2402.12563 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:13:05.314513Z

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

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External citation measurements

3
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 bcd1dd7c-fbb8-40de-acaf-347106ec5662 · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 138

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unresolved
no resolver link, observed 2026-08-07T14:12:00.008710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation aff2a917-cb6f-4483-8a56-fa74aac92e4c · inbound

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models cites this paper.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 12

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no resolver link, observed 2026-08-07T10:39:59.368480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:39:59.368480Z digest=sha256:e6671000b4c1d7c6a814507ba9e204b2e4fe76504bf96df169e69578f836b173

Observation a4dcad37-d0bd-420e-b48c-250c83f3ac1c · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 211

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:23:15.102580Z

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.

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Observation 8ef03a18-49e2-48a5-9e05-52b291b1418d · inbound

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning cites this paper.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 29

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unresolved
no resolver link, observed 2026-08-05T23:32:55.065673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.065673Z digest=sha256:32b50180658a2c72090901b5b683bfef6b68327fcd9b93d80fe7517d5d6fcf63

Observation bd3ea52b-5588-4def-8055-818be8038c2a · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 158

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:46.712081Z

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=2026-05-18T19:19:36.427337Z digest=sha256:afd9b2516b48c3357b0c87956a7eb0029fc8508d0afe269d14bd84aff5acddec

Observation 9b1df9e2-1e20-4aa4-8140-6ab664b647fb · inbound

Transport properties of baryon rich back-reacted thermal plasma with finite 't Hooft coupling correction cites this paper.

Transport properties of baryon rich back-reacted thermal plasma with finite 't Hooft coupling correction Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-15T12:46:14.027706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f8658823-6fed-4db5-bc8f-bd4e74737b42 · inbound

Cognitive Loop of Thought: Reversible Hierarchical Markov Chain for Efficient Mathematical Reasoning cites this paper.

Cognitive Loop of Thought: Reversible Hierarchical Markov Chain for Efficient Mathematical Reasoning Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:05:59.735875Z

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.

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Observation 1e3bd625-9049-4cd4-a4ee-379fb47e627b · inbound

How LLMs Detect and Correct Their Own Errors: The Role of Internal Confidence Signals cites this paper.

How LLMs Detect and Correct Their Own Errors: The Role of Internal Confidence Signals Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:16:06.907479Z

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.

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Observation f9be59b4-4d6b-4f1a-a64a-e1e50603ac54 · inbound

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling cites this paper.

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:26:25.752957Z

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.

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Observation b7b5b4b2-8dea-4d79-a785-d5310845ad02 · inbound

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling cites this paper.

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 21

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:23:28.745950Z digest=sha256:144d4e343fb8383e953cbb331ba72e6c56bc138b1fd306bd7719cd914a5b41bd

Observation 07d872ae-3d3b-4fc1-ae67-24f590dae6d2 · inbound

DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization cites this paper.

DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:22:47.418895Z

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=2026-06-28T23:16:49.358792Z digest=sha256:84e9405be5ef225678dd06a8ea299c23f433c432d2cc9645bfa7c9dda070f600

Observation d430d813-9625-4850-8d60-609cf813ca7b · inbound

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs cites this paper.

Integrating Local and Global Entropy for Uncertainty Quantification in LLMs Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:56:28.933688Z

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.

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Observation 11d7a11f-f0b6-49e8-b2c6-680048b0674d · inbound

When Does Intrinsic Self-Correction Help? A Task-Sensitive Analysis cites this paper.

When Does Intrinsic Self-Correction Help? A Task-Sensitive Analysis Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T10:49:45.620914Z

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.

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Observation 9fa60e73-6b11-4fd3-be93-6cbc37d8d236 · inbound

Spectral Origins of the Self-Correction Blind Spot in Autoregressive Generation cites this paper.

Spectral Origins of the Self-Correction Blind Spot in Autoregressive Generation Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-14T15:30:23.485228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4626da9d-71e1-4a3b-be70-11ddcda934fb · inbound

The Computational Basis of Confidence in Large Language Models cites this paper.

The Computational Basis of Confidence in Large Language Models Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T06:37:41.326003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1ad4f409-1e20-4e09-8cd2-faf89b638128 · inbound

DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding cites this paper.

DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T13:42:25.132171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eb28368f-8378-4a93-b219-963cfba2948b · inbound

The Calibration Floor: Format Repair Can Masquerade as Self-Correction at Small-to-Mid Scale cites this paper.

The Calibration Floor: Format Repair Can Masquerade as Self-Correction at Small-to-Mid Scale Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T19:13:05.314513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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