Paper Citation Record · LEDGER

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree

As of 14 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 3 inbound Pith citation observations for arXiv:2411.15645.

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

pith.paper-citation-record.v1
2411.15645 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:08:36.224048Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:01:32.769139Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:36:24.069981Z

Reference resolution

52 of 52 outbound references displayed

verified exact4
verified fuzzy8
unresolved39
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 47dcecca-c7a7-4481-9a1c-c96a541b5e50 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Training Verifiers to Solve Math Word Problems

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.115053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1608a733-1dca-4c51-be4e-0aee53ca8bf6 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Measuring Mathematical Problem Solving With the MATH Dataset

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.120579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c476b60-a052-4597-bbbf-3c923adcd0d3 · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:08:39.321514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b15ce23d-7461-4f5d-b9d9-5b9dcb525b2f · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.245447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 347d8b6f-8440-4391-a630-f19bf4321449 · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:08:39.273212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c4b719f4-d7f6-461b-a6be-12466f61a0bb · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 6

Resolution: verified exact; doi, observed 2026-08-12T14:08:39.255431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a6a22bf-cf3d-495d-ac45-01d9763cf897 · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:08:39.161968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 178b23f7-b347-4688-94d8-5f1df96541d7 · outbound

This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.314584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 810bc2ae-37c2-45be-8e34-9bc3103cf1b8 · outbound

This paper cites Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.318713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a935371c-75be-4b4f-b574-8984886c9b4a · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.323218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4d1dca5-5c75-450f-b0f1-e1a70f525fab · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-12T14:08:38.000471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 56d1e3d7-0d1c-4424-a500-131e30d3eb29 · outbound

This paper cites MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.333743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82d5c3b5-9f58-40a3-9b5d-714f639e18b2 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Gemini: A Family of Highly Capable Multimodal Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.339656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b578a5a-537f-4f23-a939-adb823c72973 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.464458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16a8ad4d-ba65-4d22-bf8a-74a19cbfaf09 · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92b1079c-fbe3-4760-a7d2-b29198cecb78 · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.501356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbf718ce-9172-49a8-a763-7275e4872d04 · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.505933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66c3b47e-4a3a-428b-a121-1738f0f81c58 · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.510478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f91144ab-669e-4f43-9cd9-20eac2591c67 · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.514607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db24e8c5-6749-44ff-b25f-503f5d9b7c69 · outbound

This paper cites An Integrated Framework Integrating Monte Carlo Tree Search and Supervised Learning for Train Timetabling Problem.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree An Integrated Framework Integrating Monte Carlo Tree Search and Supervised Learning for Train Timetabling Problem

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.518757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 600ca247-09fa-4995-9bdc-6aef2385572b · outbound

This paper cites General Method for Solving Four Types of SAT Problems.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree General Method for Solving Four Types of SAT Problems

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:08:37.227999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c70667c1-9256-4998-8a76-b2b1989ecc2f · outbound

This paper cites PhyPlan: Compositional and Adaptive Physical Task Reasoning with Physics-Informed Skill Networks for Robot Manipulators.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree PhyPlan: Compositional and Adaptive Physical Task Reasoning with Physics-Informed Skill Networks for Robot Manipulators

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.585984Z

Source-reported events for the cited work

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Observation 3b621a38-347c-416f-84bc-60fbe3497922 · outbound

This paper cites AlphaMath Almost Zero: Process Supervision without Process.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree AlphaMath Almost Zero: Process Supervision without Process

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.655958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e973ba5-bd1c-42fa-9ee4-391973a5be2b · outbound

This paper cites No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.667710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faa6647a-6824-4bc5-93a5-17f1b9bb4e8c · outbound

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MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93f13a14-eea2-48a1-921b-0ec5d27f456f · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7da6d2cc-6077-4a69-aee2-6d0c9b4499c6 · outbound

This paper cites Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 171a8a18-f512-4cc4-899b-eedba84a4887 · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a2e0175a-342d-4a2d-8373-c66335ca44a7 · outbound

This paper cites Critique Ability of Large Language Models.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Critique Ability of Large Language Models

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67ba1ebb-5204-40e7-aeb0-3b045b9b4c98 · outbound

This paper cites Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving Demonstrations

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-12T14:08:37.002087Z

Source-reported events for the cited work

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Observation 5462cd45-942b-4c2a-aa98-8dd163d603bd · outbound

This paper cites Self-critiquing models for assisting human evaluators.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Self-critiquing models for assisting human evaluators

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.829680Z

Source-reported events for the cited work

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Observation 2973b776-e478-4150-89e6-bc3d04bd28c2 · outbound

This paper cites Mistral 7B.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Mistral 7B

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.839198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b35211a-3553-490d-a769-cab1940e2b74 · outbound

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MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 36

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Observation 1fbd489a-f425-4320-9eea-a9c18426d8e5 · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 37

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Observation 92a7a1fe-395f-4a77-82c2-22e0538b31f1 · outbound

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MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

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Observation 912ad969-a22c-43a3-a483-6f7549f09d76 · outbound

This paper cites The Faiss library.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree The Faiss library

Reference 39

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MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 40

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Source-reported events for the cited work

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Observation 7c621158-d27b-4a48-95f6-a84ba53f6f32 · outbound

This paper cites an unresolved cited work.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 41

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Observation 22a040a0-0dd0-4fd5-94e1-3cb8347d7a94 · outbound

This paper cites Learning to reason with LLMs.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Learning to reason with LLMs

Reference 42

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Observation c9b39635-dc37-4e6f-a715-d7d312cc823e · outbound

This paper cites GPT-4 Technical Report.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree GPT-4 Technical Report

Reference 43

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Observation 8f53d904-6489-4786-b02e-6dd20f54e0b8 · outbound

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MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:36.027281Z

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MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:36.031665Z

Source-reported events for the cited work

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Observation e2faec28-4cdb-4a3e-bbf7-8d807c848240 · outbound

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MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:08:38.777967Z

Source-reported events for the cited work

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Observation c8dfb5e7-bba8-4964-8fcf-2fea281c8e1c · outbound

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MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:36.040292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44100e8a-12ab-460a-8b5f-a5bd1402c129 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:36.045800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3438c3a6-be40-4ea6-852a-6f9eefe4d140 · outbound

This paper cites Comparison of completeness for Human and MC-NEST solutions.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Comparison of completeness for Human and MC-NEST solutions

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:08:38.763554Z

Source-reported events for the cited work

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Observation cb135ce6-8260-49a3-be60-5fbb7e0b7665 · outbound

This paper cites Comparison of clarity for Human and MC-NEST solutions.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Comparison of clarity for Human and MC-NEST solutions

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:08:38.725388Z

Source-reported events for the cited work

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Observation 403f8e6f-d7dc-49a7-b5ff-613eb6330e97 · outbound

This paper cites Comparison of optimality for Human and MC-NEST solutions.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Comparison of optimality for Human and MC-NEST solutions

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:08:38.607611Z

Source-reported events for the cited work

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Observation f6f9cb89-7dac-4587-b322-282f64b59649 · outbound

This paper cites Comparison of mathematical rigor for Human and MC-NEST solutions.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Comparison of mathematical rigor for Human and MC-NEST solutions

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:08:38.527344Z

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Observation e632d172-67bc-4501-9278-eedc87673dac · outbound

This paper cites Insert human-generated solution here.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Insert human-generated solution here

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:08:38.507686Z

Source-reported events for the cited work

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Observation 1c57e3ab-fcf5-46a6-bf31-74b974e4ba91 · outbound

This paper cites Insert LLM-generated MC-NEST solution here.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree Insert LLM-generated MC-NEST solution here

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:08:38.491260Z

Source-reported events for the cited work

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Observation 3cd79ee2-f29d-46f5-9646-132097c64ccb · outbound

This paper cites The average (arithmetic mean) of the numbers in S is 56.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree The average (arithmetic mean) of the numbers in S is 56

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:08:38.359796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 96829dcd-89cf-448a-9930-06f478a73287 · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree

Reference 134

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.072257Z

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Observation 8333d0fc-1adf-4f41-aa6d-01b180f89777 · inbound

A Survey of Deep Learning for Geometry Problem Solving cites this paper.

A Survey of Deep Learning for Geometry Problem Solving MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:01:32.769139Z

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Observation 3d9c8bdf-a42b-4db3-b90f-a95684e72fd2 · inbound

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models cites this paper.

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:24.916693Z

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