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Paper Citation Record · LEDGER

In-Context Principle Learning from Mistakes

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.05403.

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

pith.paper-citation-record.v1
2402.05403 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:16:29.785600Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.873541Z

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 71ac5987-0f99-4f85-b761-334a729c6cfc · 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 In-Context Principle Learning from Mistakes

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:48:20.381208Z

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.

source=arxiv_source observed=2026-05-23T18:46:08.566035Z digest=sha256:3514ed596fb5c9bde389beea832794a3e70a4973870c23994cf359c0cff04fe3

Observation 7167e183-d187-4f19-b3d8-ccef8de4d7ce · inbound

A Novel Task-Driven Method with Evolvable Interactive Agents Using Event Trees for Enhanced Emergency Decision Support cites this paper.

A Novel Task-Driven Method with Evolvable Interactive Agents Using Event Trees for Enhanced Emergency Decision Support In-Context Principle Learning from Mistakes

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T05:02:42.018226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:02:42.018226Z digest=sha256:82f00a655dc4ede9cb971756100f79f073d8432877e771abdc267bce6e27f27c

Observation b4fa4b37-56c5-4256-992b-313974f54f82 · inbound

CDS: Knowledge Component-Driven Data Synthesis Guided by Cognitive Diagnosis Theory cites this paper.

CDS: Knowledge Component-Driven Data Synthesis Guided by Cognitive Diagnosis Theory In-Context Principle Learning from Mistakes

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T20:44:17.056036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:44:17.056036Z digest=sha256:d11145dd656cd7e04b1780806417bb366c0ea77fd90774689083d36f50fd0756

Observation 34c61e1c-9dd8-49f3-aaef-fd76c0ef40b5 · inbound

LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities cites this paper.

LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities In-Context Principle Learning from Mistakes

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T11:16:29.785600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:16:29.785600Z digest=sha256:9835d2e7425e3b283d822d75d5f77211112b977334bf19cdfcc4eea17dcedbcd

Observation 7f7e3e61-70b5-413e-80e2-982774bf5fdf · inbound

SkillVerse : Assessing and Enhancing LLMs with Tree Evaluation cites this paper.

SkillVerse : Assessing and Enhancing LLMs with Tree Evaluation In-Context Principle Learning from Mistakes

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T12:12:36.680340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:12:36.680340Z digest=sha256:3369831890adddf26ed79003f6497098917cc11e2480444ea6805320ab232bdf

Observation ba0830f4-8924-4ae5-8166-167a9531ce19 · 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 In-Context Principle Learning from Mistakes

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:35:55.998881Z

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.

source=pdf_text observed=2026-05-15T14:31:36.233977Z digest=sha256:4de0b289d60e1f1a494ab9b17f532a49c2bd4cb0a93970f83cb22502de74649c

Observation 6a84d8bd-baeb-4c2e-8ab1-5271fb670050 · 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 In-Context Principle Learning from Mistakes

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-02T18:43:47.557997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:43:47.557997Z digest=sha256:cb6df4f48a275c958468ac7ca8bcbdfabe79812b57697fdfc6205d7baffc8283

Observation 338a0bd9-85b2-4a5f-b620-cd805b9ec79e · inbound

Supplement Generation Training for Enhancing Agentic Task Performance cites this paper.

Supplement Generation Training for Enhancing Agentic Task Performance In-Context Principle Learning from Mistakes

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:59:49.541755Z

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.

source=arxiv_source observed=2026-05-10T00:58:27.655909Z digest=sha256:802edb012e34f9875cb00880bfa0f9d77bd54942e220b1035102b415b80ddcbd

Observation b94f790e-4fdb-49ee-baee-f76c38ef71de · inbound

Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks cites this paper.

Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks In-Context Principle Learning from Mistakes

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T12:49:52.875112Z

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.

source=pdf_text observed=2026-06-26T05:51:01.446139Z digest=sha256:2ad773d02ac844e0c288fdf1e2c7e92240f97538fdeac18c3b4533795c9d7471