Paper Citation Record · LEDGER

Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.20046.

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

pith.paper-citation-record.v1
2403.20046 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:36:24.772578Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:48:20.502443Z

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 889dc090-5a34-4059-9d08-6d37ed4e0238 · inbound

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs cites this paper.

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-18T23:58:29.185916Z

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.

Observation dbb92952-c4f8-4f85-93ef-8aa441387900 · inbound

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning cites this paper.

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:48:20.505970Z

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.

Observation 943f53da-c2d2-40e6-aa75-fb1172f4f76b · inbound

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? cites this paper.

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T22:36:24.772578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cabd8616-4ec2-47dd-a66c-46dc724bb78a · inbound

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact cites this paper.

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:10.910706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f834b81-f79d-4560-8d80-155fb82f4d11 · inbound

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification cites this paper.

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:35:55.982587Z

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.

Observation d4f91705-5161-479a-bc3a-57d818e2efbd · inbound

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification cites this paper.

FVRuleLearner: Operator-Level Reasoning Tree (Op-Tree)-Based Rules Learning for Formal Verification Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T18:43:47.507371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe2199e2-3754-49f5-b5cb-9687fd7b15fc · inbound

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve cites this paper.

Soft Guidance Starts to Outperform CoT Prompting as LLMs Improve Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T17:02:19.907012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.