Paper Citation Record · LEDGER

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason

As of 10 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 7 inbound Pith citation observations for arXiv:2505.22653.

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

pith.paper-citation-record.v1
2505.22653 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:08:26.418982Z

measured 45 of 45 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:21:41.900632Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:06:40.819064Z

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy17
unresolved21
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 336360d1-d394-4743-b0ae-7be6a657ddb8 · outbound

This paper cites Rethinking reflection in pre-training, 2025.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Rethinking reflection in pre-training, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:20.774171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfee5b61-bfa2-41b1-8ec9-ebeaef0ecf13 · outbound

This paper cites Math- arena: Evaluating llms on uncontaminated math competitions, February 2025.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Math- arena: Evaluating llms on uncontaminated math competitions, February 2025

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:30.141674Z

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.

Observation 998bfda0-0c08-46be-aa8c-b9ec8d061431 · outbound

This paper cites Do not think that much for 2+3=? on the overthinking of o1-like llms, 2025.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Do not think that much for 2+3=? on the overthinking of o1-like llms, 2025

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:20.971903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd4d2aa7-3ebd-4178-84e4-761d8bc8e0d7 · outbound

This paper cites The accuracy paradox in RLHF: When better reward models don‘t yield better language models.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason The accuracy paradox in RLHF: When better reward models don‘t yield better language models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:29.793026Z

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.

Observation 5cc1211e-9c9b-4cbe-a5b8-4b980717d800 · outbound

This paper cites Fortify the shortest stave in attention: Enhancing context awareness of large language models for effective tool use.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Fortify the shortest stave in attention: Enhancing context awareness of large language models for effective tool use

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:29.579980Z

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.

Observation fa6a6ec4-aa68-44e1-ae75-ea2c1ad58338 · outbound

This paper cites Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning, 2025

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:21.245093Z

Source-reported events for the cited work

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Observation 2fbaa476-27b7-4e7f-a4ab-9f973e655974 · outbound

This paper cites Q*: Improving multi-step reasoning for LLMs with deliberative planning, 2024.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Q*: Improving multi-step reasoning for LLMs with deliberative planning, 2024

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:29.438633Z

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.

Observation 3881cd0d-3e5b-43ba-989f-bbf78fe41ef5 · outbound

This paper cites Fleiss et al.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Fleiss et al

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:29.324041Z

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.

Observation 2bca5e9a-1439-47f8-aaf6-7f87adf5a74b · outbound

This paper cites Angelopoulos, Jiantao Jiao, Banghua Zhu, Joseph E.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Angelopoulos, Jiantao Jiao, Banghua Zhu, Joseph E

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:29.144749Z

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.

Observation 64d7804c-fb4f-41bd-872c-ca23e7ddd1b6 · outbound

This paper cites an unresolved cited work.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:22.798068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd96b21b-2804-4f67-adb6-7cb18f974884 · outbound

This paper cites Training large language models to reason in a continuous latent space, 2024.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Training large language models to reason in a continuous latent space, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:28.939096Z

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.

Observation 635020b9-ad11-4fdd-af1a-d3fb2e407619 · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Measuring mathematical problem solving with the MATH dataset

Reference 12

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Source-reported events for the cited work

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Observation ee38baa9-bbe4-4dfd-88bb-1f454b229ffb · outbound

This paper cites Open-reasoner-zero: An open source approach to scaling up reinforcement learning on the base model, 2025.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Open-reasoner-zero: An open source approach to scaling up reinforcement learning on the base model, 2025

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 378ba01a-8ced-4322-ad0c-92e08e401e32 · outbound

This paper cites Human-centric dialog training via offline reinforcement learning.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Human-centric dialog training via offline reinforcement learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:28.733015Z

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.

Observation cca45cb9-7636-447b-b605-72d834896154 · outbound

This paper cites Smith, and Hannaneh Hajishirzi.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Smith, and Hannaneh Hajishirzi

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:28.526514Z

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.

Observation a2855bad-a891-4e71-8de2-9b2da73099ff · outbound

This paper cites Skywork-reward: Bag of tricks for reward modeling in llms, 2024.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Skywork-reward: Bag of tricks for reward modeling in llms, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:28.347936Z

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.

Observation 9c252d4a-6eba-44fc-8507-e4a48c7916b7 · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14cce726-7ded-4d3d-8c40-62737ca8a218 · outbound

This paper cites RM-bench: Benchmarking reward models of language models with subtlety and style.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason RM-bench: Benchmarking reward models of language models with subtlety and style

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:28.032968Z

Source-reported events for the cited work

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Observation 8f5711fa-ead4-4460-b00e-d306e59b5d64 · outbound

This paper cites The llama 3 herd of models, 2024.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason The llama 3 herd of models, 2024

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08f18d02-a882-4f7a-be83-c2d6097de2ab · outbound

This paper cites s1: Simple test-time scaling, 2025.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason s1: Simple test-time scaling, 2025

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:23.784375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69dee594-ee21-4766-be72-8080c5d2b93d · outbound

This paper cites Webgpt: Browser-assisted question-answering with human feedback, 2022.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Webgpt: Browser-assisted question-answering with human feedback, 2022

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:24.224696Z

Source-reported events for the cited work

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Observation 10d11159-eb51-492b-9e73-18ce08a42abe · outbound

This paper cites an unresolved cited work.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:24.363161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59acf32a-c8fb-4bb1-ae9e-927664cdeaf9 · outbound

This paper cites Tinyzero.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Tinyzero

Reference 23

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Source-reported events for the cited work

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Observation 7d818213-3f27-4f53-bf0e-9dcb03f1d974 · outbound

This paper cites Lee, and Sanjeev Arora.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Lee, and Sanjeev Arora

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:27.645811Z

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.

Observation f037cab5-2d76-46dc-a77e-88e8f44d0696 · outbound

This paper cites an unresolved cited work.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Unresolved cited work

Reference 25

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Source-reported events for the cited work

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Observation 9181ac7a-da72-464e-939f-190848bf5bc9 · outbound

This paper cites High- dimensional continuous control using generalized advantage estimation, 2018.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason High- dimensional continuous control using generalized advantage estimation, 2018

Reference 26

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Observation 11c5364e-0c72-46a3-aeb0-994d299d28bb · outbound

This paper cites Proximal policy optimization algorithms, 2017.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Proximal policy optimization algorithms, 2017

Reference 27

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Observation f7c7bc53-22d7-49cc-9177-88a313d57cbe · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason HybridFlow: A Flexible and Efficient RLHF Framework

Reference 28

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Observation 4272dc37-bbc5-4ce1-aef3-aed663720f48 · outbound

This paper cites Kimi k1.5: Scaling reinforcement learning with llms, 2025.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Kimi k1.5: Scaling reinforcement learning with llms, 2025

Reference 29

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Source-reported events for the cited work

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Observation 26abeed2-a18d-420c-9afd-e7d1a79adca9 · outbound

This paper cites Dedicated feedback and edit models empower inference- time scaling for open-ended general-domain tasks, 2025.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Dedicated feedback and edit models empower inference- time scaling for open-ended general-domain tasks, 2025

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:27.328579Z

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.

Observation 7b6fdd6e-43c2-4eb5-ae7c-4740d996a3fd · outbound

This paper cites Rethinking reward model evaluation: Are we barking up the wrong tree? InThe Thirteenth International Conference on Learning Representations, 2025.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Rethinking reward model evaluation: Are we barking up the wrong tree? InThe Thirteenth International Conference on Learning Representations, 2025

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:27.187371Z

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.

Observation bea22113-c115-4ecd-812f-1e937335b71a · outbound

This paper cites Qwen2.5 Technical Report.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Qwen2.5 Technical Report

Reference 32

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Observation ea6018df-d49a-4ef0-bbf8-b858be14404c · outbound

This paper cites Demystifying long chain-of-thought reasoning in llms, 2025.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Demystifying long chain-of-thought reasoning in llms, 2025

Reference 33

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Source-reported events for the cited work

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Observation a4b3b8f4-9604-4a7b-b586-b5d512a31f90 · outbound

This paper cites Does reinforcement learning really incentivize reasoning capacity in llms beyond the base model?, 2025.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Does reinforcement learning really incentivize reasoning capacity in llms beyond the base model?, 2025

Reference 34

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Source-reported events for the cited work

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Observation 9eb3e823-7347-465f-93b5-749aa9c69481 · outbound

This paper cites ReST- MCTS*: LLM self-training via process reward guided tree search.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason ReST- MCTS*: LLM self-training via process reward guided tree search

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:26.063576Z

Source-reported events for the cited work

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Observation 7f4098c4-46f3-4d53-a169-68d533074504 · outbound

This paper cites Found in the middle: How language models use long contexts better via plug-and-play positional encoding, 2024.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Found in the middle: How language models use long contexts better via plug-and-play positional encoding, 2024

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:27.018577Z

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.

Observation 1396fc1a-f01e-4061-8aa8-07a35ce0d174 · outbound

This paper cites Rmb: Comprehensively benchmarking reward models in llm alignment, 2025.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Rmb: Comprehensively benchmarking reward models in llm alignment, 2025

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:26.853533Z

Source-reported events for the cited work

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Observation a4ece631-7ac0-429d-88eb-33ba21a03c33 · outbound

This paper cites Assistant:␣<think>.

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason Assistant:␣<think>

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:26.655809Z

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.

Pith citing papers

Observation 2c78ad0a-163e-4860-87d2-2b82f402346b · inbound

ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context cites this paper.

ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason

Reference 20

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Source-reported events for the cited work

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Observation c1e0f7d7-0436-40f6-9d38-34d50fec9880 · inbound

StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to Reason cites this paper.

StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to Reason The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason

Reference 14

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Observation 44a3cdc7-cb6d-4f98-8329-29478b16b20e · inbound

Mirage or Method? How Model-Task Alignment Induces Divergent RL Conclusions cites this paper.

Mirage or Method? How Model-Task Alignment Induces Divergent RL Conclusions The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason

Reference 9

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Observation 108954cf-c305-4ec2-8327-6849d809a05d · inbound

Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR cites this paper.

Delay, Plateau, or Collapse: Evaluating the Impact of Systematic Verification Error on RLVR The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:45:53.070918Z

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.

Observation 8ebcca75-35d3-4ee1-87a0-82b75a9e79f3 · inbound

Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models cites this paper.

Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:00:55.164977Z

Source-reported events for the cited work

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Observation b8673b48-961e-4c8e-a55e-11795d86cadd · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason

Reference 99

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:56:13.695124Z

Source-reported events for the cited work

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Observation 7a0e6b5b-8f8d-4cde-9b40-2fdff5e0c9b4 · inbound

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling cites this paper.

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:06:40.820599Z

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.