Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:13:08.130979Z
Paper Citation Record · LEDGER
Learning from Peers in Reasoning Models
As of 22 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 5 inbound Pith citation observations for arXiv:2505.07787.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:59:41.908963Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T08:53:03.650861Z
Reference resolution
48 of 48 outbound references displayed
- verified exact0
- verified fuzzy15
- unresolved32
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 734f7bea-eeab-45ad-abd8-006d4402c301 · outbound
This paper cites Learning to reason with llms, 2024.
Learning from Peers in Reasoning Models Learning to reason with llms, 2024
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:09.223355Z
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 6bf98da7-f546-4aa5-9ca7-886c4289e752 · outbound
This paper cites Openai o1 system card, 2024.
Learning from Peers in Reasoning Models Openai o1 system card, 2024
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:09.208189Z
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 ad3bf63e-a3db-46db-9eaa-619348128eb5 · outbound
This paper cites Openai o3 mini, 2025.
Learning from Peers in Reasoning Models Openai o3 mini, 2025
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:09.186264Z
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 dc6284a3-b2d5-4ecb-964f-b3e11ac25fd5 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
Learning from Peers in Reasoning Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.871741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55a2075c-9408-440e-a9b7-c37b4432f74f · outbound
This paper cites Qwq-32b: Embracing the power of reinforcement learning, March 2025.
Learning from Peers in Reasoning Models Qwq-32b: Embracing the power of reinforcement learning, March 2025
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.877747Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea969c82-05f6-49ee-b5a9-89dc96260bd9 · outbound
This paper cites A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?.
Learning from Peers in Reasoning Models A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.889708Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfcec97f-116b-433a-a896-1a9e4e90c1ca · outbound
This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.
Learning from Peers in Reasoning Models Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.895199Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09db910c-f15c-49d6-ba1e-66a7977444c0 · outbound
This paper cites Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?.
Learning from Peers in Reasoning Models Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.899674Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8787dd33-e9be-4d8b-ac31-7778051f82ba · outbound
This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.
Learning from Peers in Reasoning Models Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.904679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d52a79d9-5ea9-4ef2-b9ad-d9f9f52aafa0 · outbound
This paper cites Peer instruction enhanced student performance on qualitative problem-solving questions.
Learning from Peers in Reasoning Models Peer instruction enhanced student performance on qualitative problem-solving questions
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:09.151022Z
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 d962cc0d-933a-413f-9a97-8a4c4ac2ce11 · outbound
This paper cites Implementation of the peer-led team-learning instructional model as a stopgap measure improves student achievement for students opting out of laboratory.
Learning from Peers in Reasoning Models Implementation of the peer-led team-learning instructional model as a stopgap measure improves student achievement for students opting out of laboratory
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:09.134160Z
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 668fc0d9-66f7-4f22-9851-baab6bf8dbee · outbound
This paper cites Clean evidence on peer effects.
Learning from Peers in Reasoning Models Clean evidence on peer effects
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:09.111363Z
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 4b1d8937-a5e7-4a33-a8b8-dc05abfedb25 · outbound
This paper cites American Invitational Mathematics Examination - AIME 2024, February 2024.
Learning from Peers in Reasoning Models American Invitational Mathematics Examination - AIME 2024, February 2024
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:09.095477Z
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 e6a39753-6514-4de5-9f66-4d5b16d0de1a · outbound
This paper cites American Invitational Mathematics Examination - AIME 2025, February 2025.
Learning from Peers in Reasoning Models American Invitational Mathematics Examination - AIME 2025, February 2025
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:09.072866Z
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 324d651b-d730-4cee-ba33-3d0cb07721dc · outbound
This paper cites Smith, Kevin Buzzard, Timothy Gowers, Peter J.
Learning from Peers in Reasoning Models Smith, Kevin Buzzard, Timothy Gowers, Peter J
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:09.052024Z
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 1102c8d7-144f-4d9d-9ae9-f5aa9067b6c0 · outbound
This paper cites an unresolved cited work.
Learning from Peers in Reasoning Models Unresolved cited work
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.939382Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed5b9d85-e626-42da-9891-434067d8f8f7 · outbound
This paper cites Binary codes capable of correcting deletions, insertions, and reversals.
Learning from Peers in Reasoning Models Binary codes capable of correcting deletions, insertions, and reversals
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.947670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14fef261-e6d3-4dea-a634-fde1821a4a1c · outbound
This paper cites Gonzalez, Hao Zhang, and Ion Stoica.
Learning from Peers in Reasoning Models Gonzalez, Hao Zhang, and Ion Stoica
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.963086Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9eaa6296-24cd-4872-b0a1-d0f9e59a6567 · outbound
This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.
Learning from Peers in Reasoning Models Self-Consistency Improves Chain of Thought Reasoning in Language Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.967962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ae1e96c-8db6-4c78-af79-b139d745ed3b · outbound
This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.
Learning from Peers in Reasoning Models SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.972963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6061d5e9-d45b-4285-b794-51ba9b7f10bb · outbound
This paper cites START: Self-taught Reasoner with Tools.
Learning from Peers in Reasoning Models START: Self-taught Reasoner with Tools
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.977913Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d42b39d2-6305-404b-bafe-abd1e7e22b27 · outbound
This paper cites An Empirical Study on Eliciting and Improving R1-like Reasoning Models.
Learning from Peers in Reasoning Models An Empirical Study on Eliciting and Improving R1-like Reasoning Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.983704Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7d1478e-7632-4161-ad6e-09f8f8287111 · outbound
This paper cites Mixture-of-Agents Enhances Large Language Model Capabilities.
Learning from Peers in Reasoning Models Mixture-of-Agents Enhances Large Language Model Capabilities
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.989152Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97c2489e-81db-49c0-9ee6-36d761fd84a5 · outbound
This paper cites Hello gpt-4o.
Learning from Peers in Reasoning Models Hello gpt-4o
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:09.008256Z
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 d68fd940-c6af-4903-be10-13b66fe522e7 · outbound
This paper cites Deepseek-r1 thoughtology: Let’s< think> about llm reasoning.
Learning from Peers in Reasoning Models Deepseek-r1 thoughtology: Let’s< think> about llm reasoning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:07.997993Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45dc9fe9-d3a1-4268-a9c6-d49d17559e2a · outbound
This paper cites Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective.
Learning from Peers in Reasoning Models Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.003507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9764a76c-7263-479a-8c0f-ab31e1acd5b5 · outbound
This paper cites Making language models better reasoners with step-aware verifier.
Learning from Peers in Reasoning Models Making language models better reasoners with step-aware verifier
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:08.993840Z
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 d39af146-99d7-47b3-ad95-18d0435a955d · outbound
This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.
Learning from Peers in Reasoning Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.012995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ab01dbb-9d85-4df6-8754-b45ab425cf99 · outbound
This paper cites The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism.
Learning from Peers in Reasoning Models The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.017364Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56dbcd6f-9a2e-401a-8862-95a69533dda7 · outbound
This paper cites When is the consistent prediction likely to be a correct prediction?.
Learning from Peers in Reasoning Models When is the consistent prediction likely to be a correct prediction?
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.023383Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d09c0608-debb-4b3a-a87c-b55311d75a6a · outbound
This paper cites Scaling laws for reward model overoptimization.
Learning from Peers in Reasoning Models Scaling laws for reward model overoptimization
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.028296Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98317615-8b66-4c69-8820-7c5f07c491cf · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
Learning from Peers in Reasoning Models Training Verifiers to Solve Math Word Problems
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.033813Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98a9b889-2cc8-4112-8684-8984e0af0143 · outbound
This paper cites Fast Best-of-N Decoding via Speculative Rejection.
Learning from Peers in Reasoning Models Fast Best-of-N Decoding via Speculative Rejection
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.039933Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a651ec4-6066-4a89-aa06-d865f167084e · outbound
This paper cites BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling.
Learning from Peers in Reasoning Models BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.046407Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc3b0bdc-a4ad-4032-95cf-58a4c1bb206b · outbound
This paper cites Variational Best-of-N Alignment.
Learning from Peers in Reasoning Models Variational Best-of-N Alignment
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.052702Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a494a453-106e-4256-927c-1307cbe87ec0 · outbound
This paper cites BOND: Aligning LLMs with Best-of-N Distillation.
Learning from Peers in Reasoning Models BOND: Aligning LLMs with Best-of-N Distillation
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.058931Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 176eed5c-228b-4cd1-899e-d44f7633ce10 · outbound
This paper cites Improv- ing factuality and reasoning in language models through multiagent debate.
Learning from Peers in Reasoning Models Improv- ing factuality and reasoning in language models through multiagent debate
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.065575Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9dd506f2-cd2e-4aaf-b279-c7f4132f68e4 · outbound
This paper cites ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs.
Learning from Peers in Reasoning Models ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.070742Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 924fb163-8900-4ee8-a037-f88f59c158df · outbound
This paper cites Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration.
Learning from Peers in Reasoning Models Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.076659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a1ef6dc-b383-42ac-b0f4-7c6b6473adf2 · outbound
This paper cites CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving.
Learning from Peers in Reasoning Models CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.084222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b6d9edd-0f8f-4f5f-819b-a990fabe5336 · outbound
This paper cites Malt: Improving reasoning with multi-agent llm training.
Learning from Peers in Reasoning Models Malt: Improving reasoning with multi-agent llm training
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.091269Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d172b947-ab7d-426d-802c-3b912c557430 · outbound
This paper cites SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents.
Learning from Peers in Reasoning Models SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:13:08.097520Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea781724-dee2-47fd-ae7e-c2aedc302a9b · outbound
This paper cites The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models.
Learning from Peers in Reasoning Models The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models
Reference 43
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-15T22:13:08.104292Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4694d4ce-ee0d-40cf-9e13-7d1c26b971ef · outbound
This paper cites an unresolved cited work.
Learning from Peers in Reasoning Models Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T22:13:08.927962Z
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 daa131d4-2068-4c73-abd5-d20f3c261cfa · outbound
This paper cites To summarize, my recent findings are: I attempted to expressp ands in terms ofq and r using the conditionpr +qs = 0, leading top =kq and s =−kr... Peer 4:.
Learning from Peers in Reasoning Models To summarize, my recent findings are: I attempted to expressp ands in terms ofq and r using the conditionpr +qs = 0, leading top =kq and s =−kr... Peer 4:
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:08.908867Z
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 c17113c2-b587-4e50-9fa8-84ea57b0297e · outbound
This paper cites Peer 3:.
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:08.881783Z
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 3a498150-0106-41f2-ac55-37b4d3e79e79 · outbound
This paper cites Peer 4:.
Reference 1190
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:08.864664Z
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 efd968be-ce2e-42cf-8aef-04a1e45fe9d6 · outbound
This paper cites Aha” moments Figure 18: We illustrate the average number of tokens and “Aha.
Learning from Peers in Reasoning Models Aha” moments Figure 18: We illustrate the average number of tokens and “Aha
Reference 2025
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:13:08.951365Z
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.
Pith citing papers
Observation e66e0fbc-e017-4a28-bfda-b3c83cc3bc04 · inbound
Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided Framework cites this paper.
Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided Framework Learning from Peers in Reasoning Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:59:41.908963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63245719-83c1-421f-965f-4e7e4baeb7c0 · inbound
Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models cites this paper.
Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models Learning from Peers in Reasoning Models
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:21:08.060154Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7824f657-254f-4a13-b8c3-96efb2d142a9 · inbound
Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework cites this paper.
Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework Learning from Peers in Reasoning Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:45:03.041044Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c27b8e1e-b6de-48bb-b66c-bb51be424721 · inbound
EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance cites this paper.
EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance Learning from Peers in Reasoning Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T14:44:14.634746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70809acb-c836-4335-8fd2-839cd2eee6eb · inbound
Cut Your Losses! Learning to Prune Paths Early for Efficient Parallel Reasoning cites this paper.
Cut Your Losses! Learning to Prune Paths Early for Efficient Parallel Reasoning Learning from Peers in Reasoning Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T08:53:03.652476Z
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.