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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:27:17.669845Z

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T23:58:29.040819Z digest=sha256:546f1e89deccafbfa73404ffaad93c7a607200891204d9c1b6981fac32317e0c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T18:46:08.566035Z digest=sha256:c77c69fe94737635176e8f4e5eb198f9484dcdcf0b457ac7c62e72deac962341

Observation 6c295f1e-9ac9-43e5-8d6d-15339a1afd36 · inbound

Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models cites this paper.

Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for Reasoning

Reference 2000

Resolution
unresolved
no resolver link, observed 2026-08-09T00:27:17.669845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:27:17.669845Z digest=sha256:0977f8cc324527d3c07f15f1670255cce94917b5ea39efff2696eb6478cb02f5

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.

source=pdf_text observed=2026-08-06T22:36:24.772578Z digest=sha256:230776f48954913ae6916c7e6976c385b774557f5a57c5122c7a22d3cfb97a26

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.

source=pdf_text observed=2026-08-06T21:07:10.910706Z digest=sha256:296f663b4a5c79aa1c385729a074f5ba6773d78fafd50e10c14cf744b8670f34

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T14:31:36.233977Z digest=sha256:4627aab6b5a312bd0fe400cc8d9e694cd220e672ce1cf8d056910cdda75f2331

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.

source=pdf_text observed=2026-08-02T18:43:47.507371Z digest=sha256:6a4494304c601f3fc7f017f4b25216b3df85400f163ffb760a182b8e829215e4

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.

source=arxiv_source observed=2026-08-05T17:02:19.907012Z digest=sha256:f1c47148878cff34f9f4af5ea536a2302f741ffc4c0ac5c053e79b3a2de098c7