Paper Citation Record · LEDGER

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2502.19361.

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

pith.paper-citation-record.v1
2502.19361 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:18:44.095044Z

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

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
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 3b42abcd-f500-42f8-81dc-bfeaace0381f · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 255

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:40:41.528079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ecf3687a-c64c-4498-844a-4565e8333ce1 · inbound

Synergizing RAG and Reasoning: A Systematic Review cites this paper.

Synergizing RAG and Reasoning: A Systematic Review Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:18:44.095044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 301fbbb0-6215-45a0-8358-e971a5f2e74c · inbound

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective cites this paper.

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:18.987011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04280e3e-e42f-4dd6-96c5-464770b080b9 · inbound

Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models cites this paper.

Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:14:41.335305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a45e6103-0b37-4c7a-ace9-db5f77a7673e · inbound

Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning cites this paper.

Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:16.967173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 997b1a60-ef79-45a8-81af-4733c6156182 · inbound

Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems cites this paper.

Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:40:34.473655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76d3702c-3bd7-40f7-ac4b-fb498ae7fc12 · inbound

What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning cites this paper.

What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:45.628559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cbc36e8-0509-45b7-a539-35431a402049 · inbound

Can A Gamer Train A Mathematical Reasoning Model? cites this paper.

Can A Gamer Train A Mathematical Reasoning Model? Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:21.393043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bef6d676-a271-4c82-b963-18095469d636 · inbound

CoRT: Code-integrated Reasoning within Thinking cites this paper.

CoRT: Code-integrated Reasoning within Thinking Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T04:46:20.350974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0285688-773d-44dd-bc7c-5a093babea72 · inbound

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization cites this paper.

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:15.478734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e33a6f0a-07a2-4590-8043-8b9129eee944 · inbound

RefCritic: Training Long Chain-of-Thought Critic Models with Refinement Feedback cites this paper.

RefCritic: Training Long Chain-of-Thought Critic Models with Refinement Feedback Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T15:47:31.064312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a352b9f5-de06-469f-b40d-07e19cea8e24 · inbound

R1-ACT: Efficient Reasoning Model Safety Alignment by Activating Safety Knowledge cites this paper.

R1-ACT: Efficient Reasoning Model Safety Alignment by Activating Safety Knowledge Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T10:18:24.586763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d425b47c-4664-4ce2-bbf1-d8bdd1e889c2 · inbound

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability cites this paper.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:26.699637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d51eb32c-6add-4e9d-80ee-98dc891d3f58 · inbound

Can Large Language Models Reason About Complex Execution Paths? An Empirical Study on Python cites this paper.

Can Large Language Models Reason About Complex Execution Paths? An Empirical Study on Python Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T20:51:06.589622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b244f63-c6d9-4cd5-b911-1bff7381e8f2 · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-06-27T13:00:56.059313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.