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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:00.008710Z digest=sha256:9a606f5da1eff609b5dac27f5b4ba455226b940937119ef2df0c4f4f0981fd64

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

Resolution
unresolved
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=sha256:96cabccd7af248dc30e61d63cc668ab6b8325a971f190a27a646b8c544bcd6bb

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.

source=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:fa4b3dff84cfa0adc8be4d1885d332b741fd4b124fad2df21e2519f96b0a7c3d

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

Resolution
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=sha256:093b7aca48a0142233c573a6fb225d0e9751d4cf9623e9ee02b35c1eaa341544

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=sha256:9e90f7cb31aeebdfcf0e36042e4e46cc6f3dca86a8213db5f64393fc8b74dbe8

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.

source=pdf_text observed=2026-07-15T12:46:14.027706Z digest=sha256:dda078d24747bb4427f489cf91a75e816268bffae88f45b4b6e0f2c35967a57e

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.

source=pdf_text observed=2026-05-10T17:47:52.178172Z digest=sha256:9b0625bc81538617ee1d0cae780e3c528ee5315ede1f600cfda9ce8cc2af7fd2

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.

source=pdf_text observed=2026-05-08T12:30:51.094216Z digest=sha256:87616d6be262c57aca482241a654fbaf3f3a7c1d4b8b89902746cd9f7532ff73

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
no resolver link, observed 2026-08-04T05:23:28.745950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:23:28.745950Z digest=sha256:46c5e95f3713bdd5d7527e576a97db0c22aaa104de1557c19017e66d594b2aba

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=sha256:3b7cfbe25364b6f35ca43a861b4ad0d9022c8f361d5c2d18298522c6783a53ed

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.

source=pdf_text observed=2026-06-28T10:31:25.054595Z digest=sha256:c30da91b0c9afcccb55b9a609e4eae126b3a291f1433a19b7f0e13901a3f2217

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.

source=pdf_text observed=2026-06-26T08:32:59.556091Z digest=sha256:67543b6b174dc109ac75b7a8e915e4114bef4a78cd34fe6d3d5f07a2130d7f6c

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.

source=arxiv_source observed=2026-07-14T15:30:23.485228Z digest=sha256:5ffd50e64a19a4f274d485a551051b7cc98f2e100864b7aa72425a99d64de3be

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.

source=arxiv_source observed=2026-08-02T06:37:41.326003Z digest=sha256:f8a57cc50d9fbc09824976e2989d661a9b7d033d4ea7d8622f849906036b5974

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.

source=pdf_text observed=2026-08-02T13:42:25.132171Z digest=sha256:da526713f581b609d497c55c07d1fef294fdcf09a20881e6be422ba2fbe95a13

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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