Paper Citation Record · LEDGER

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning

As of 22 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 2 inbound Pith citation observations for arXiv:2501.13622.

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

pith.paper-citation-record.v1
2501.13622 v4

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:49:44.048289Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:39:33.706526Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:39:33.995676Z

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30225360-2779-46b4-b106-f34e737d8793 · outbound

This paper cites URL: " 'urlintro :=.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning URL: " 'urlintro :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:43.968146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34fad8ee-bea0-4340-818f-fcf21558aaf5 · outbound

This paper cites write newline.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:43.973589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8461951-039b-4288-8846-adbdee47537f · outbound

This paper cites GPT-4 Technical Report.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:43.978622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60c2bd3b-5c17-4f89-b76e-d5d59204aa6d · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning Training Verifiers to Solve Math Word Problems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:43.984230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed242d56-0d17-457c-838f-be991575e9ad · outbound

This paper cites The Llama 3 Herd of Models.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning The Llama 3 Herd of Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:43.989758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 934a5e0f-c222-4324-86dd-443c7b3077c5 · outbound

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

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:43.994609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ff8ff86-e8e8-4441-b94f-6aa4fc42a896 · outbound

This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning Large Language Models Cannot Self-Correct Reasoning Yet

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:44.000861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adfd210a-640d-43a1-9e64-37347db2a49e · outbound

This paper cites Challenges and Applications of Large Language Models.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning Challenges and Applications of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:44.005994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c82e3f7-d0a7-4282-9afb-3a36ecf8df7f · outbound

This paper cites GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:44.011913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71dbc219-e964-4d7b-b9f2-442416720d72 · outbound

This paper cites Process Reward Model with Q-Value Rankings.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning Process Reward Model with Q-Value Rankings

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:44.016691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ee91a7a-9306-4f5b-8098-5870b2a83679 · outbound

This paper cites Let's Verify Step by Step.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning Let's Verify Step by Step

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:44.021340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e32b0a2f-4069-4f64-a2d1-05e0f94038df · outbound

This paper cites Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:44.026345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32143455-1347-4f23-999b-6242152982c5 · outbound

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

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning Solving math word problems with process- and outcome-based feedback

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:44.033590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f472304-3412-4936-9631-e7a91b1b3ba7 · outbound

This paper cites an unresolved cited work.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:44.039314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c2921d5-4880-4ef2-b8af-9d34493337ae · outbound

This paper cites Qwen2.5 Technical Report.

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning Qwen2.5 Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:44.043784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5044d472-b652-4884-99f1-01dd711cd724 · outbound

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

Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T15:49:44.048289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d822cfe9-f980-458a-8f43-2dc0eaa89d52 · inbound

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning cites this paper.

LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:39:34.000646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e405932f-9075-4701-adf2-ceb39301c7c2 · inbound

Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards cites this paper.

Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards Coarse-to-Fine Process Reward Modeling for Mathematical Reasoning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T13:15:43.851865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.