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Paper Citation Record · LEDGER

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search

As of 10 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 8 inbound Pith citation observations for arXiv:2501.01478.

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

pith.paper-citation-record.v1
2501.01478 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:37:07.281291Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:18:40.777676Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:07:30.508001Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved37
  • parse uncertain0
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External citation measurements

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Outbound references

Observation f5b2df76-7196-4b52-ba83-7dbdb0b39d57 · outbound

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

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search , " * write output.state after.block = add.period write newline

Reference 1

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Observation 57975f3a-a23d-4a6a-ae09-043622fbee13 · outbound

This paper cites write newline.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search write newline

Reference 2

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Observation 5b29a19e-2cba-41f0-84a3-93310dc1868a · outbound

This paper cites B.; Powley, E.; Whitehouse, D.; Lucas, S.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search B.; Powley, E.; Whitehouse, D.; Lucas, S

Reference 3

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Observation 24c1aeba-4fc0-4864-9761-631ef8d3fbc1 · outbound

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

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search AlphaMath Almost Zero: Process Supervision without Process

Reference 4

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Observation 19d67743-cdd3-4f2b-8555-ba0918a27509 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Training Verifiers to Solve Math Word Problems

Reference 5

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Observation c7b60060-c572-4cbe-84ed-4cbccc3edc0f · outbound

This paper cites an unresolved cited work.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Unresolved cited work

Reference 6

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Observation ff2d45d2-1e34-4f6b-b6cc-0ce91c4f35fb · outbound

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

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Reasoning with Language Model is Planning with World Model

Reference 7

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Observation ee107b97-264f-47da-b83c-c89e88989671 · outbound

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

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Measuring Mathematical Problem Solving With the MATH Dataset

Reference 8

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Observation f17f9f3e-1059-4cf9-b247-772a7dfe396d · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search LoRA: Low-Rank Adaptation of Large Language Models

Reference 9

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Observation b712775f-10f6-48b2-b06d-53471e17da11 · outbound

This paper cites an unresolved cited work.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Unresolved cited work

Reference 10

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Observation 08da027b-7ca7-4d3d-84ee-c346aaa3a911 · outbound

This paper cites an unresolved cited work.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Unresolved cited work

Reference 11

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Observation b73bd473-7b6a-46d8-8d69-17f499bbfc0e · outbound

This paper cites an unresolved cited work.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Unresolved cited work

Reference 12

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Observation fd133b34-512a-4eab-9b6c-7c236f79ee2b · outbound

This paper cites S.; Reid, M.; Matsuo, Y.; and Iwasawa, Y.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search S.; Reid, M.; Matsuo, Y.; and Iwasawa, Y

Reference 13

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Observation 93ce969c-ecec-4fb8-aeb2-2c5092d15dd2 · outbound

This paper cites Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Reference 14

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Observation b23ca365-0fb4-41f0-af8d-9aafa40a5a74 · outbound

This paper cites Common 7B Language Models Already Possess Strong Math Capabilities.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Common 7B Language Models Already Possess Strong Math Capabilities

Reference 15

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Observation eee4bf86-a749-4bcc-a551-79d25ae721e7 · outbound

This paper cites Let's Verify Step by Step.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Let's Verify Step by Step

Reference 16

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Observation 1bba5b30-001a-4d99-a565-31e56305cf55 · outbound

This paper cites Augmenting Math Word Problems via Iterative Question Composing.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Augmenting Math Word Problems via Iterative Question Composing

Reference 17

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Observation 6433f402-dee4-4a0d-937b-2454a26d11d4 · outbound

This paper cites MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 18

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Observation 9bb1f353-d7e5-488e-ace5-1cdbeee97993 · outbound

This paper cites Improve Mathematical Reasoning in Language Models by Automated Process Supervision.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Reference 19

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Observation 1b0534a0-c9bf-43f9-96c7-c876de3d4cec · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 20

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Observation 54a9142d-1f08-42dd-aa9c-faa5e3b58181 · outbound

This paper cites an unresolved cited work.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Unresolved cited work

Reference 21

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Observation 77338f39-53c4-4a54-9f05-b7639e288495 · outbound

This paper cites Iterative Reasoning Preference Optimization.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Iterative Reasoning Preference Optimization

Reference 22

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Observation 5f060018-ae75-420e-b3c4-0b743773ab45 · outbound

This paper cites Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Reference 23

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Observation d5bd4309-d09c-4526-a293-c25ae71bc7c7 · outbound

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

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search D.; Ermon, S.; and Finn, C

Reference 24

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Observation b028464f-1da2-46b8-bc62-f05baa04a808 · outbound

This paper cites an unresolved cited work.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Unresolved cited work

Reference 25

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Observation bf529c58-3dd7-445d-91a1-58d3304f8bf8 · outbound

This paper cites an unresolved cited work.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Unresolved cited work

Reference 26

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Observation b3be68e7-b2e0-4f9f-9c3c-ef5b7bc97855 · outbound

This paper cites an unresolved cited work.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Unresolved cited work

Reference 27

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Observation ef275d07-a8e0-4015-87df-72f5d542645d · outbound

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

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 28

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Observation 9c27f02f-060e-4d4f-9852-a58bc3aa958b · outbound

This paper cites Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision

Reference 29

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Observation c3b3d7aa-ad01-427b-b44c-907d4e8a8e1c · outbound

This paper cites V.; Zhou, D.; et al.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search V.; Zhou, D.; et al

Reference 30

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Observation 454a3d22-e998-4677-8a83-aa9d8470165a · outbound

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

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

Reference 31

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Observation 67dbac04-12a0-42b9-9ef5-74446cbf2291 · outbound

This paper cites an unresolved cited work.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Unresolved cited work

Reference 32

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 680d8de7-e2cc-4ad5-9b72-79ae70a96688 · outbound

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

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 33

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Observation cbc2bf35-3ace-434c-9700-3fa3d7a0d3a6 · outbound

This paper cites Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Scaling Relationship on Learning Mathematical Reasoning with Large Language Models

Reference 34

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Observation 35304577-379f-4be5-8ef2-6d3ada21e8f4 · outbound

This paper cites an unresolved cited work.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Unresolved cited work

Reference 35

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Observation a273d775-2127-4584-8354-00a1139a511e · outbound

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

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 36

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Observation e0052e1b-d013-423c-afb1-66ecb64e6ba5 · outbound

This paper cites ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 37

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Observation 79d0bb41-3d5b-4e06-9aec-b392a90e376d · outbound

This paper cites A Survey of Large Language Models.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search A Survey of Large Language Models

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:37:07.281291Z digest=sha256:523781447d03849eb2a2b2f505bc8663e115d7ad78179be04808e8bc394d2fca

Pith citing papers

Observation d70528af-733a-4c3f-b41a-9aa4121e462b · inbound

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search cites this paper.

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:07:30.515018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T04:06:23.521344Z digest=sha256:757d846b617fe73b3ddb1bffd8eb69e778ce84fb31afb9bc8992a33d950ccfd0

Observation ac704221-d03e-4dad-b832-cde745c3475e · inbound

On Almost Surely Safe Alignment of Large Language Models at Inference-Time cites this paper.

On Almost Surely Safe Alignment of Large Language Models at Inference-Time Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-09T16:18:40.777676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:18:40.777676Z digest=sha256:fe97aae53fea0eb0d0735b067173365fbefe5b02a4cd53844d3d24e552353960

Observation f2319ab1-9b02-4644-be05-7f3e4858c433 · inbound

OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning cites this paper.

OctoTools: An Agentic Framework with Extensible Tools for Complex Reasoning Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T02:42:26.364016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T02:39:18.259822Z digest=sha256:205bdaf916dea84a458a2979f18871c8ddda8190be122af73b56f39218c050b0

Observation 218116cf-c61e-4fb7-a4af-d3ffff13e233 · inbound

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains cites this paper.

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:07:56.795252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T06:07:56.678339Z digest=sha256:fbb7cfb64c60a84ddf226a3970c1600bfac8cf95de7008c9c1866fad9c87806b

Observation 6a4c5a46-318a-46b7-b102-08b4c8236c83 · inbound

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance cites this paper.

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-04T10:53:08.542610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:53:08.542610Z digest=sha256:268e6a89bfa3401ee64f38c7e1412a2a65103317c91c4ec7ab42293a47a88576

Observation 4d112cfe-7240-4bba-8276-a021b17a72c6 · inbound

Efficient Reasoning on the Edge cites this paper.

Efficient Reasoning on the Edge Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search

Reference 73

Resolution
unresolved
no resolver link, observed 2026-07-13T23:28:12.790404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T23:28:12.790404Z digest=sha256:06776e8198e865b39bea557105eb3e936e776e32e27930d11d00e9c127d5dee0

Observation 1a44368c-2632-4ea3-9ac4-f0f4bd86b74e · inbound

Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding cites this paper.

Measure Twice, Click Once: Co-evolving Proposer and Visual Critic via Reinforcement Learning for GUI Grounding Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:16:06.245387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T23:05:05.251150Z digest=sha256:953547ba030ca5a46921303e5eff155278681e93d480d895f973aae5e71388ce

Observation 082160ae-529d-4a88-befb-decc08150de8 · inbound

Process Supervision of Confidence Margin for Calibrated LLM Reasoning cites this paper.

Process Supervision of Confidence Margin for Calibrated LLM Reasoning Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:41:12.130965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T08:19:09.437464Z digest=sha256:66be08ee1904b5b4662ae29596c0a931debb87d98b696a8b92470ff66b090e20