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Paper Citation Record · LEDGER

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.14497.

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

pith.paper-citation-record.v1
2305.14497 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T19:58:32.016341Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:07:23.498169Z

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 6cd24467-eced-4acb-8df1-a0c5772de3ff · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:47:50.714366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T10:47:44.152066Z digest=sha256:4dfb89528878d0bfb3e3b8bfdde05174a0b3d3c5c0e48874333c65b3dfd4d754

Observation b884f0dc-2774-4339-88f8-17e6c592733a · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement

Reference 136

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:40:51.255919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T00:37:11.945418Z digest=sha256:a77476f40e1d3823ced6c1bd88baf31da95fa6df5ec58d3ce05d6cc80c038374

Observation 417d7a9a-5b2f-483f-a9db-07fbaeecb262 · inbound

FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought Reasoning cites this paper.

FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought Reasoning Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:16:04.342357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T15:04:23.688239Z digest=sha256:5ab799b997c8bbe9df17b013e52c227dc936b0acfe9934634f7274834d10d55a

Observation 6142e8aa-b71c-4059-a17e-e2f877b41adc · inbound

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination cites this paper.

DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:07:23.499667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T19:58:32.016341Z digest=sha256:7d1cd39d88e5444a827a59791f1141830c33f0c88daba36d46bb4cfdd19888e1