Paper Citation Record · LEDGER

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning

As of 13 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2412.17397.

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

pith.paper-citation-record.v1
2412.17397 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:32:05.187906Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T01:36:23.845366Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:36:24.154635Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy1
unresolved43
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6139c537-2c34-45e4-8e74-2e0cbe47a633 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.007464Z

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Observation ef7f8bf7-0f0d-4e82-9a03-493d51278cba · outbound

This paper cites write newline.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.012085Z

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Observation 6c59b594-4057-4559-a966-d31d539f04ed · outbound

This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.016894Z

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Observation 716b68ea-4806-4bab-b082-434262358aff · outbound

This paper cites RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.021572Z

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Observation 9ae8fbef-08ce-4121-a41a-c5cc708d1804 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Training Verifiers to Solve Math Word Problems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.025822Z

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Observation 66c77d0e-e133-40d8-a43f-febd697f0b96 · outbound

This paper cites an unresolved cited work.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.030152Z

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Observation 41634b16-a98d-4af0-8a17-582fc290f46a · outbound

This paper cites The Llama 3 Herd of Models.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.033716Z

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Observation e6724a79-e296-4dd7-a083-36322016908b · outbound

This paper cites Stop Regressing: Training Value Functions via Classification for Scalable Deep RL.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.037290Z

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Observation 81f014e3-d931-424a-a8a8-12e468bd6d2a · outbound

This paper cites an unresolved cited work.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:32:05.866211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3c0ff638-9bb8-4f13-b778-5e620ca44c38 · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Reasoning with Language Model is Planning with World Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.045671Z

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Observation dbf429ce-cf85-401b-9596-23268c5f20e6 · outbound

This paper cites GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.050096Z

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Observation bcb1c06b-7139-42f8-81a7-08aa29e10fe8 · outbound

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

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.054517Z

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Observation 1842be97-7bc8-460b-a9ba-ba85042970e7 · outbound

This paper cites an unresolved cited work.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:32:05.854172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 65d61a2c-4590-4299-a8fe-b9d85fd0e639 · outbound

This paper cites Mistral 7B.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Mistral 7B

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.062776Z

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Observation e7b1a721-e5af-48b7-b9d8-048a594e227d · outbound

This paper cites an unresolved cited work.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:32:05.842298Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 74cf42fa-1b7a-4a0f-bf3a-6bb4590f3474 · outbound

This paper cites an unresolved cited work.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Unresolved cited work

Reference 16

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Observation 68af0466-d675-43b6-a933-312d41ea6f2e · outbound

This paper cites Training Language Models to Self-Correct via Reinforcement Learning.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Training Language Models to Self-Correct via Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.075477Z

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Observation c2b6c74d-03e9-4bf5-8291-ca00818a1fc7 · outbound

This paper cites an unresolved cited work.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:32:05.822646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 87c9b8d4-ace4-4bca-b25c-80f786c7afcd · outbound

This paper cites Let's Verify Step by Step.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Let's Verify Step by Step

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.083498Z

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Observation 6e460728-aeb0-42c6-b628-d7877ce4171a · outbound

This paper cites Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.087359Z

Source-reported events for the cited work

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Observation 1c3b8cd5-0cd1-4746-8667-0f53affc4735 · outbound

This paper cites an unresolved cited work.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:32:05.811023Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 10f51c8c-cbf8-4e23-b0af-e854b271ee2a · outbound

This paper cites an unresolved cited work.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.094613Z

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Observation 087d3004-cef3-48f6-96e5-55305776a496 · outbound

This paper cites REFINER: Reasoning Feedback on Intermediate Representations.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning REFINER: Reasoning Feedback on Intermediate Representations

Reference 23

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Observation c47a144d-ef43-4a36-b39b-70530ebf90d4 · outbound

This paper cites Recursive Introspection: Teaching Language Model Agents How to Self-Improve.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Recursive Introspection: Teaching Language Model Agents How to Self-Improve

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.102208Z

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Observation d6fe4b0d-cfa8-4917-ba07-97a6fb580142 · outbound

This paper cites D.; Ermon, S.; and Finn, C.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning D.; Ermon, S.; and Finn, C

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.106426Z

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Observation 590eabcc-daa2-4879-8a24-6f44dd336a21 · outbound

This paper cites an unresolved cited work.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-11T05:32:05.785053Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8f2afc7e-e1c1-42a0-adc0-1045b8ccbb5b · outbound

This paper cites Multi-turn Reinforcement Learning from Preference Human Feedback.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Multi-turn Reinforcement Learning from Preference Human Feedback

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.113680Z

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Observation fc4032c3-1d91-45f8-9527-a34ed4c73115 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 28

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Observation e2dd6853-cff5-4612-8f08-88757ad4fca9 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 29

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Observation fe3f1d92-ba3d-40d6-be20-3812083b914e · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.125316Z

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Observation d2f7f02e-3b18-485d-b1cd-f459a8631c03 · outbound

This paper cites Offline RL for Natural Language Generation with Implicit Language Q Learning.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Offline RL for Natural Language Generation with Implicit Language Q Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.128971Z

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Observation 8a40f0ab-ea8f-4ca9-8c65-e908bf7b7388 · outbound

This paper cites DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.132531Z

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Observation c4fd0710-afef-4a15-b087-da2858a9caff · outbound

This paper cites OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction Data

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.140190Z

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Observation 2aa358fe-ae80-4232-ac82-68d297a01d65 · outbound

This paper cites Solving math word problems with process- and outcome-based feedback.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Solving math word problems with process- and outcome-based feedback

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.144130Z

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Observation 174d3ed4-ae9a-4391-a886-334acd0be3ba · outbound

This paper cites Generating Sequences by Learning to Self-Correct.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Generating Sequences by Learning to Self-Correct

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.148451Z

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Observation f1af8582-daa7-4077-a3b8-63c3cd2b011f · outbound

This paper cites A.; Ostendorf, M.; and Hajishirzi, H.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning A.; Ostendorf, M.; and Hajishirzi, H

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:32:05.774600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8af40692-2384-4830-b52c-7e7b4d258317 · outbound

This paper cites Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.157765Z

Source-reported events for the cited work

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Observation 68b738bf-6638-44f4-8d49-efedbaff11b0 · outbound

This paper cites Self-Evaluation Guided Beam Search for Reasoning.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Self-Evaluation Guided Beam Search for Reasoning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.161940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87c2715b-ed7d-4e77-8b7e-84faff3d4faa · outbound

This paper cites Building Math Agents with Multi-Turn Iterative Preference Learning.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Building Math Agents with Multi-Turn Iterative Preference Learning

Reference 40

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Source-reported events for the cited work

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Observation c7adbc43-b337-4f3d-98d4-cdbd1ffc4ac7 · outbound

This paper cites an unresolved cited work.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Unresolved cited work

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b01707f-56f0-460b-bddd-0eb8ccca49de · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.174422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1be35d6f-3f50-4936-88ef-3fd03c599e9a · outbound

This paper cites Small Language Models Need Strong Verifiers to Self-Correct Reasoning.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Small Language Models Need Strong Verifiers to Self-Correct Reasoning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.179010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c14088f-63e6-409b-82e9-e14c9c121d84 · outbound

This paper cites ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.183607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eda91110-2467-45dd-8607-670cd82758d6 · outbound

This paper cites Solving Math Word Problems via Cooperative Reasoning induced Language Models.

Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning Solving Math Word Problems via Cooperative Reasoning induced Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T05:32:05.187906Z

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Pith citing papers

Observation 20d65286-dcfe-4a98-bb6c-fa62cf15d1cf · 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 Towards Intrinsic Self-Correction Enhancement in Monte Carlo Tree Search Boosted Reasoning via Iterative Preference Learning

Reference 155

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.157579Z

Source-reported events for the cited work

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