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Paper Citation Record · LEDGER

In-Context Principle Learning from Mistakes

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:12:36.680340Z

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T18:46:08.566035Z digest=sha256:a65bb44691db265142686b0686ce63dea3b3cc3ccd17846daeef36d5bc8cb749

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:b9cb56325105ab49989fa33ba2d91066c6603e4c3056217bc8554255f88e50ef

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T14:31:36.233977Z digest=sha256:a4f01e24d1567a26ec5ec0f03e77c560a95d983f68cbc4a349f90178e6cf0e44

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:ee4789b5346a2e1407e54ede65d804af74d618605b7aa9a24c8cfdcf3826cc66

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T00:58:27.655909Z digest=sha256:3cd301a972aa9a832d9f6fbc99945840c97c04cdee23bd1bb20f2e3757e63c4a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T05:51:01.446139Z digest=sha256:d1336b3be0bbec51f5131908706ca5f993dad62317d79c12d76577eb6c5547c1