Paper Citation Record · LEDGER

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2509.06284.

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

pith.paper-citation-record.v1
2509.06284 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:56:34.906593Z

measured 15 of 15 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy3
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b111c604-729e-4ff4-9dd0-5f11abf9d25f · outbound

This paper cites InProceedings of the 2024 Con- ference on Empirical Methods in Natural Language Processing, pages 1107–1128.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs InProceedings of the 2024 Con- ference on Empirical Methods in Natural Language Processing, pages 1107–1128

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:56:35.134176Z

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.

Observation c0d745b1-6358-4e6c-bdab-9dfe732ff9e9 · outbound

This paper cites InProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 8154–8173.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs InProceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 8154–8173

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:56:35.125503Z

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.

Observation 30564805-3eb1-4c07-9a99-5995ef44e848 · outbound

This paper cites MathPrompter: Mathematical Reasoning using Large Language Models.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs MathPrompter: Mathematical Reasoning using Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:34.886866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 532a7a83-8582-48f3-abb6-eae8bd688b7c · outbound

This paper cites Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:34.889878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a688287-8e14-4c9f-a039-2a47a959cfb3 · outbound

This paper cites BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs BEATS: Optimizing LLM Mathematical Capabilities with BackVerify and Adaptive Disambiguate based Efficient Tree Search

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T23:56:34.984037Z

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.

Observation 129635e6-fa89-48c8-9997-8fa4768e56a6 · outbound

This paper cites From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:34.895604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7906da50-64bc-435f-aac0-c75e13b24a33 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:34.898309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce807850-8492-43ab-afc0-b59d4c399509 · outbound

This paper cites Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:34.901101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd1332c-298e-4032-89b0-f7deb58b1d2a · outbound

This paper cites BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T23:56:34.946482Z

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.

Observation 459d6664-00cf-4043-9d8f-31c42da7bb3c · outbound

This paper cites A Survey of Large Language Models.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs A Survey of Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:34.906593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1426a38b-5805-48e8-8a7f-9129cf307d1e · outbound

This paper cites Guillaume Chaslot, Sander Bakkes, Istvan Szita, and Pieter Spronck.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs Guillaume Chaslot, Sander Bakkes, Istvan Szita, and Pieter Spronck

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T23:56:35.142334Z

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.

Observation 9be4d75d-9551-4c0d-b79e-868da5160091 · outbound

This paper cites Towards Reasoning in Large Language Models: A Survey.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs Towards Reasoning in Large Language Models: A Survey

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:34.883946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f2f6d73-eb90-4b7c-bb21-7c1c20db2760 · outbound

This paper cites GPT-4 Technical Report.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs GPT-4 Technical Report

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:34.865810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 360e783b-fbb5-4efe-913f-ea5d6a947d32 · outbound

This paper cites Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:34.869231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bb9ed74-bbe4-4dea-9df4-8ca06909392c · outbound

This paper cites arXiv preprint arXiv:2506.09080.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs arXiv preprint arXiv:2506.09080

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:34.875313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.