Paper Citation Record · LEDGER

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes

As of 15 July 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2605.28421.

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

pith.paper-citation-record.v1
2605.28421 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T11:51:01.769882Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-14T06:31:01.685423+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact27
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 37e14206-a075-475f-ae9a-460573103097 · outbound

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

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-06-29T11:53:23.681551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation bec034d0-20ff-47f8-a0c3-62ebb9ab9c50 · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6b7c844-a0e7-4c8f-95e7-faa5ce9ee977 · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0e04240-5782-4147-90e3-08a2d48c1c32 · outbound

This paper cites Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:23.662416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation d092d25e-94da-4b7a-bcdd-e913d5d9d672 · outbound

This paper cites Training-free group relative policy optimization, October 2025.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Training-free group relative policy optimization, October 2025

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:23.684505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 617b1317-457d-444b-afd8-1775a422db2b · outbound

This paper cites Do LLMs signal when they’re right? evidence from neuron agreement, 2025.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Do LLMs signal when they’re right? evidence from neuron agreement, 2025

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:23.669549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation c3af9b88-12f8-4561-a053-5c6a4dbb51d7 · outbound

This paper cites Weak-to-Strong Generalization is Nearly Inevitable (in Linear Models).

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Weak-to-Strong Generalization is Nearly Inevitable (in Linear Models)

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-06-29T11:53:23.701503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation ee8bc249-2756-4881-9ac8-131095b16c32 · outbound

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

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-29T11:53:23.704929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 9bee5b38-0f96-4678-a3e3-9faac621eb5c · outbound

This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-06-29T11:53:23.707364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 2a5b6baa-ef87-4718-b6af-dd058bf0a6b3 · outbound

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

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Measuring Mathematical Problem Solving With the MATH Dataset

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-06-29T11:53:23.709943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T18:20:22.649941+00:00.

Observation 02abb5a9-9cce-43d8-9681-20c7560d5002 · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ee058bb-acd1-484c-a80e-5b5a31989c8c · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1993e84a-6c8b-4fca-9cc6-f0781a897f26 · outbound

This paper cites Process reward models that think.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Process reward models that think

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:23.715281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation d0ec393c-dffe-4757-af64-54b9d339b4d5 · outbound

This paper cites Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-06-29T11:53:23.712612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 2d59e6bc-6b99-4350-8fdc-a5e4edce4d91 · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:23.689895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 9149339f-63a5-4e9d-92b1-e79fcab7d694 · outbound

This paper cites arXiv preprint arXiv:2601.22718 , year=.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes arXiv preprint arXiv:2601.22718 , year=

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:23.686496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation fcdeebe8-0569-4bde-89ea-8cb96c50e3ea · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cacb1f9c-d9b2-4846-8426-53f881f94825 · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c682f812-c459-439d-8c41-b594f9ddd14a · outbound

This paper cites EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-06-29T11:53:23.698614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 09397fe9-541f-4b71-a434-e42ba757d11a · outbound

This paper cites SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:23.704451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 802b7182-ffa2-446d-8122-166375d722d5 · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0dd154d-c180-490e-8dfa-1389a00e51c1 · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c49f55d-bd89-413c-8cdb-09ad2e4a4af6 · outbound

This paper cites Pope: Learning to reason on hard problems via privileged on-policy exploration.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Pope: Learning to reason on hard problems via privileged on-policy exploration

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:23.698713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation d918def2-29c6-4970-9c8b-d88b4fe8c921 · outbound

This paper cites Proximal Policy Optimization Algorithms.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Proximal Policy Optimization Algorithms

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-06-29T11:53:23.684012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation fb0250b3-8437-417d-ac4a-7d68a45c6eef · outbound

This paper cites Reuse your flops: Scaling rl on hard problems by conditioning on very off-policy prefixes.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Reuse your flops: Scaling rl on hard problems by conditioning on very off-policy prefixes

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:23.689537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 0bab13af-6ac6-42bc-af36-8a382921f3b6 · outbound

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

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-06-29T11:53:23.652281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 049b37ea-e7c2-45e3-be6c-5938937028bb · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdc7c0b7-22be-446d-bcd0-3d83e69cbc0d · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1de8982-be7b-40bf-8bce-f93b70684c22 · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60c4c9ce-e9fa-40da-a4af-6a89c7a9703a · outbound

This paper cites Qwen3 Technical Report.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Qwen3 Technical Report

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-06-29T11:53:23.672403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation f46631b7-1aec-4f9d-aaec-10b5d9e639b6 · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d992c4d-6284-4b5b-b08d-3b4105e8a474 · outbound

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

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Generating Sequences by Learning to Self-Correct

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:23.676256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 64639df8-7838-4fb5-8962-e9ea3bb461ae · outbound

This paper cites BNPO: Beta Normalization Policy Optimization.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes BNPO: Beta Normalization Policy Optimization

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:23.678846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation dd996933-3890-41ae-9507-12d77df4d16f · outbound

This paper cites SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-06-29T11:53:23.667020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 0d33a8be-bd11-4930-a06d-c1b7dc0a01b1 · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34a259c7-bc2a-4585-8edb-a0efa7bb0702 · outbound

This paper cites Qwen2 Technical Report.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Qwen2 Technical Report

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-06-29T11:53:23.676192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation b351e235-5754-48d3-b6f4-adda2fbbee5a · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0abe62f-3451-4811-b91e-5eb208bee888 · outbound

This paper cites KnowRL: Boosting LLM Reasoning via Reinforcement Learning with Minimal-Sufficient Knowledge Guidance.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes KnowRL: Boosting LLM Reasoning via Reinforcement Learning with Minimal-Sufficient Knowledge Guidance

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-06-29T11:53:23.664636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation e14d4db1-9649-4d22-a45d-e35d04018528 · outbound

This paper cites an unresolved cited work.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Unresolved cited work

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-29T11:51:01.769882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5faf7014-cab4-4e1e-8d0c-92bbb22d437f · outbound

This paper cites Incentivizing strong reasoning from weak supervision.arXiv preprint arXiv:2505.20072, 2025.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Incentivizing strong reasoning from weak supervision.arXiv preprint arXiv:2505.20072, 2025

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:23.669676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 570f1cdf-1701-4847-b222-8dd6d85b8c23 · outbound

This paper cites Mathsmith: Towards extremely hard mathematical reasoning by forging synthetic problems with a reinforced policy.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Mathsmith: Towards extremely hard mathematical reasoning by forging synthetic problems with a reinforced policy

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:53:23.679110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation a06f4f99-00cc-44dc-a733-1b7c78396f7c · outbound

This paper cites Reinforcement-aware Knowledge Distillation for LLM Reasoning.

DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes Reinforcement-aware Knowledge Distillation for LLM Reasoning

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-06-29T11:53:23.660779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Pith citing papers

No inbound Pith citation observations are available.