Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 100 inbound Pith citation observations for arXiv:2501.04519.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:30:38.008772Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
8
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 3b9c28fe-e1d3-42d1-966e-c279540ba545 · inbound
Stepwise Reasoning Error Disruption Attack of LLMs cites this paper.
Stepwise Reasoning Error Disruption Attack of LLMs rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:30:38.008772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae3cd6c2-b95c-4168-b2ff-fe81fead2e87 · inbound
Reasoning Language Models: A Blueprint cites this paper.
Reasoning Language Models: A Blueprint rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:36:54.504256Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 034e27fd-824d-48e9-bf03-ea75755be632 · inbound
Scaling Inference-Efficient Language Models cites this paper.
Scaling Inference-Efficient Language Models rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T00:43:28.905055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 586d5cd4-62e1-4a27-bd81-499fb27f53dd · 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 rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-23T04:07:30.497780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1d2a5277-40df-4e3c-a160-c552a7fc7537 · inbound
LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information cites this paper.
LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T13:25:52.006995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bf0e9b3-3ecd-4465-98cd-4db3051e59e0 · inbound
Brief analysis of DeepSeek R1 and its implications for Generative AI cites this paper.
Brief analysis of DeepSeek R1 and its implications for Generative AI rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:53:29.385817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05159511-cc5c-4ca3-aad5-3350ce6dfb06 · inbound
Safety Reasoning with Guidelines cites this paper.
Safety Reasoning with Guidelines rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T23:50:35.741225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 996155ce-2629-4548-a377-bcbfe0093546 · inbound
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance cites this paper.
CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:16:27.380681Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f97b4a9-2d70-4e09-8a11-3d0d9e19b7cc · inbound
Improving Language Models with Intentional Analysis cites this paper.
Improving Language Models with Intentional Analysis rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-23T03:45:21.598416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d9fb27c5-3ba9-4b3c-a5b9-5fc998f8172d · inbound
Iterative Deepening Sampling as Efficient Test-Time Scaling cites this paper.
Iterative Deepening Sampling as Efficient Test-Time Scaling rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:23:26.305225Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb67e40f-4cf7-42ae-8179-a6522be88ea6 · inbound
PIPA: Preference Alignment as Prior-Informed Statistical Estimation cites this paper.
PIPA: Preference Alignment as Prior-Informed Statistical Estimation rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:10:53.373963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e1abdd1-50fb-48bf-8a14-e2f02454c213 · inbound
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling cites this paper.
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:40:35.941372Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7e1636c-8b03-4263-91b1-ae5239e0bc6a · inbound
On the Emergence of Thinking in LLMs I: Searching for the Right Intuition cites this paper.
On the Emergence of Thinking in LLMs I: Searching for the Right Intuition rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:25:53.340082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1593a911-7d7b-4aa5-ba85-16fd0f66797b · inbound
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning cites this paper.
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:27:51.099046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0db4016a-38d6-4cf6-ae2a-a510da52520a · inbound
The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks cites this paper.
The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T06:00:32.234438Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 654b6651-bd04-4583-a1d9-2df3143df84d · inbound
Typhoon T1: An Open Thai Reasoning Model cites this paper.
Typhoon T1: An Open Thai Reasoning Model rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T22:52:54.318244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a43164e7-7775-49b3-b0df-02a5a357d75e · inbound
CoT-Valve: Length-Compressible Chain-of-Thought Tuning cites this paper.
CoT-Valve: Length-Compressible Chain-of-Thought Tuning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T20:57:42.034406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67a98d22-7542-4dc7-9e50-1c9897cc54c2 · inbound
From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.
From System 1 to System 2: A Survey of Reasoning Large Language Models rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 143
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 14267516-3810-4312-bc97-390ab80baef5 · inbound
Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models cites this paper.
Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-23T02:47:26.385462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d9affb95-ebff-4890-bb90-3ffdcfd77928 · inbound
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 226
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 14c552b0-c3f1-4f16-aa6b-e44d33d2395b · inbound
Phi-4-reasoning Technical Report cites this paper.
Phi-4-reasoning Technical Report rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0ead29b4-f399-46dc-a0f7-0837fd53f05c · inbound
TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning cites this paper.
TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T14:01:38.382405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 50cd3b33-c295-4122-838b-a37faeff1e13 · inbound
DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models cites this paper.
DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:42:21.412901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcd871aa-cf77-468b-981c-26d38e7d523a · inbound
TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning cites this paper.
TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T13:41:36.183624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0b1ccf3e-7388-41e7-bc96-c6e6f01be5f8 · inbound
Learning to Reason via Mixture-of-Thought for Logical Reasoning cites this paper.
Learning to Reason via Mixture-of-Thought for Logical Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:42.134427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8694828c-2bb2-4f8b-acde-9d3ae93b6fb4 · inbound
Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models cites this paper.
Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:17.111371Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38b3018e-0145-4e90-a9ac-f5ecea67b504 · inbound
Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning cites this paper.
Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:45:16.786796Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bedae641-e22c-4a95-97c6-a0b014872ec4 · inbound
VeriThinker: Learning to Verify Makes Reasoning Model Efficient cites this paper.
VeriThinker: Learning to Verify Makes Reasoning Model Efficient rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:42:11.309063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ac5c1b8-bbad-4caf-b8b5-86409613798d · inbound
RaDeR: Reasoning-aware Dense Retrieval Models cites this paper.
RaDeR: Reasoning-aware Dense Retrieval Models rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:35:19.843349Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 55471775-4c12-4441-a108-254b5ab1853e · inbound
MMATH: A Multilingual Benchmark for Mathematical Reasoning cites this paper.
MMATH: A Multilingual Benchmark for Mathematical Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:23:07.990118Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf166085-f870-4f4d-bd71-c6c1dacb4a81 · inbound
Faster and Better LLMs via Latency-Aware Test-Time Scaling cites this paper.
Faster and Better LLMs via Latency-Aware Test-Time Scaling rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:14:21.569416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e200c4b-2622-4226-bfdb-4d622dc54603 · inbound
Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting cites this paper.
Concise Reasoning, Big Gains: Pruning Long Reasoning Trace with Difficulty-Aware Prompting rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:12:20.744113Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1216ef42-4154-4d8a-b68e-e40f0f23babc · inbound
Can Past Experience Accelerate LLM Reasoning? cites this paper.
Can Past Experience Accelerate LLM Reasoning? rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:56.145963Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6db72fc4-c218-4d06-a80d-91872720b3d0 · inbound
rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset cites this paper.
rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:40:16.872558Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f779bc17-e800-4b2d-bdc9-34e5539ba275 · inbound
UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents cites this paper.
UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:34:12.734899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d721ffe-0a6c-461f-9e63-ff41c627315e · inbound
RAG-Zeval: Towards Robust and Interpretable Evaluation on RAG Responses through End-to-End Rule-Guided Reasoning cites this paper.
RAG-Zeval: Towards Robust and Interpretable Evaluation on RAG Responses through End-to-End Rule-Guided Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:14:29.991659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f7f1c3c-cd7a-45be-ad00-ebd75ad3a8b4 · inbound
How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning cites this paper.
How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:32:21.738872Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 317aff50-0850-44ce-bba9-846ccbf27ed4 · inbound
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning cites this paper.
Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation abc0b61a-31c9-4586-8bf7-70f503b7e8fe · inbound
One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL cites this paper.
One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:30:40.139932Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94f56415-7df1-433c-b465-91a8350e4ce4 · inbound
AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism cites this paper.
AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:02:39.226807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82381dd6-b3cb-4230-a172-84bd0c8bfe11 · inbound
Structured Pruning for Diverse Best-of-N Reasoning Optimization cites this paper.
Structured Pruning for Diverse Best-of-N Reasoning Optimization rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:56:23.571793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e199341-7a67-43c8-a4fa-e3400918a3eb · inbound
DynamicMind: A Tri-Mode Thinking System for Large Language Models cites this paper.
DynamicMind: A Tri-Mode Thinking System for Large Language Models rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:21:27.136837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ffc07461-ffdc-44a3-8845-da654ca7584f · inbound
Unlocking Recursive Thinking of LLMs: Alignment via Refinement cites this paper.
Unlocking Recursive Thinking of LLMs: Alignment via Refinement rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:07:02.005898Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfdd0ab2-dde6-46e3-a06c-933d250e130b · inbound
A Survey on Large Language Models for Mathematical Reasoning cites this paper.
A Survey on Large Language Models for Mathematical Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 2014
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:45.965584Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37401fbc-e87f-498d-9c1b-9519b094ab57 · inbound
Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions cites this paper.
Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:01:18.720845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06e02db3-49d4-4303-b2bb-2dae77510a5a · inbound
SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning cites this paper.
SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:01:24.112886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 301449ee-3612-4f6f-a783-45d2679d11f0 · inbound
TTT-Bench: A Benchmark for Evaluating Reasoning Ability with Simple and Novel Tic-Tac-Toe-style Games cites this paper.
TTT-Bench: A Benchmark for Evaluating Reasoning Ability with Simple and Novel Tic-Tac-Toe-style Games rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:38:41.146393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59d93812-8bd4-4b1c-8421-7c8c5550685c · inbound
MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution cites this paper.
MCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue Resolution rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:49:34.039982Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05224726-4f85-4934-aa07-8d6c13110327 · inbound
Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team cites this paper.
Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:24:14.735972Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2656d7cb-e0c5-402f-bb80-5de2452c58f7 · inbound
DuaShepherd: Integrating Stepwise Correctness and Potential Rewards for Mathematical Reasoning cites this paper.
DuaShepherd: Integrating Stepwise Correctness and Potential Rewards for Mathematical Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:35:35.759763Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e85fecc2-2d41-4bdd-ad63-eef3dcabfd24 · inbound
Distilling Tool Knowledge into Language Models via Back-Translated Traces cites this paper.
Distilling Tool Knowledge into Language Models via Back-Translated Traces rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:11:58.354030Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d26efe52-e749-4d62-9209-0bb1d6082afe · inbound
Towards Understanding the Cognitive Habits of Large Reasoning Models cites this paper.
Towards Understanding the Cognitive Habits of Large Reasoning Models rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:07:56.268149Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8226f95e-f046-4cbf-919f-72c19f342603 · inbound
Test-Time Scaling with Reflective Generative Model cites this paper.
Test-Time Scaling with Reflective Generative Model rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:46:44.759235Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c2624e4-c766-48db-adb9-7fdc2332769a · inbound
Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS cites this paper.
Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:28:12.313777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3113f3ab-8d7c-4976-bfb2-2ace325cef0b · inbound
From Language to Logic: A Bi-Level Framework for Structured Reasoning cites this paper.
From Language to Logic: A Bi-Level Framework for Structured Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 906
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:24:50.462671Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 474e7e1f-ebec-4769-90c1-086e16e92013 · inbound
EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique cites this paper.
EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:04:53.340378Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dfdf8e0-b155-410e-8274-540a77f81581 · inbound
AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education cites this paper.
AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:29:26.331533Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d753e3c7-eb92-43de-a765-31c634f38b70 · inbound
Dynamic and Generalizable Process Reward Modeling cites this paper.
Dynamic and Generalizable Process Reward Modeling rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:44:35.823791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dfeb8e6-c345-49ff-9bc1-20b33a167609 · inbound
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs cites this paper.
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:37:28.746721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdb1f98b-6f30-4fc9-aa4c-de8503fd383a · inbound
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 234
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9f30538b-8588-4cba-add5-7cc3256747de · inbound
StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models cites this paper.
StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:29:17.082217Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9fac228-abbe-4aac-8de2-91b4c37dae0f · inbound
An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal cites this paper.
An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:25:50.433469Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62909ce8-c75d-4330-8c4d-8d2d6a3e3c6e · inbound
Sample-efficient LLM Optimization with Reset Replay cites this paper.
Sample-efficient LLM Optimization with Reset Replay rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T23:41:54.694793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1ab3c225-c272-492f-8113-19d1233e2401 · inbound
InteChar: A Unified Oracle Bone Character List for Ancient Chinese Language Modeling cites this paper.
InteChar: A Unified Oracle Bone Character List for Ancient Chinese Language Modeling rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:23:23.591867Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e6a9ace-d75a-451e-b5c1-cc2d3f741e21 · inbound
rStar2-Agent: Agentic Reasoning Technical Report cites this paper.
rStar2-Agent: Agentic Reasoning Technical Report rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:57:39.405467Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e887d306-6f75-4c59-9230-544deff51a20 · inbound
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 202
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T19:21:48.008345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 255eb9be-145d-4f37-a01e-831da3972f87 · inbound
ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute cites this paper.
ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:52:04.430116Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c04d4468-5067-4343-8006-c47994ef6c65 · inbound
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search cites this paper.
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T12:12:35.851659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2b12d6ce-7fe1-40c5-baf4-25f423b5945b · inbound
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs cites this paper.
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T05:30:55.039488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0c1c197b-2910-421a-b4f6-af84b593fac8 · inbound
MASPRM: Multi-Agent System Process Reward Model cites this paper.
MASPRM: Multi-Agent System Process Reward Model rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:56:46.376327Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7b835e5-3650-4486-af52-465b278ec30d · inbound
Sharpness-Guided Group Relative Policy Optimization via Probability Shaping cites this paper.
Sharpness-Guided Group Relative Policy Optimization via Probability Shaping rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T03:12:22.378053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4e046aa7-c60f-4465-9b24-55412e400030 · inbound
TreeCoder: Systematic Exploration and Optimisation of Decoding and Constraints for LLM Code Generation cites this paper.
TreeCoder: Systematic Exploration and Optimisation of Decoding and Constraints for LLM Code Generation rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 152560ad-ddcc-4670-a512-74c44d9220e2 · inbound
PyFi: Toward Pyramid-like Financial Image Understanding for VLMs via Adversarial Agents cites this paper.
PyFi: Toward Pyramid-like Financial Image Understanding for VLMs via Adversarial Agents rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4ca6de60-51a9-4c36-ab8b-9c0b293768c0 · inbound
On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency cites this paper.
On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 2a65ce3f-459f-4877-9f61-32c6531bc8d9 · inbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula cites this paper.
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:43:34.738415Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45829dcc-6a81-4821-b00a-25494ece48f0 · inbound
Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models cites this paper.
Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:50:34.097649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d82cbb9a-454d-484b-972c-986e1b46981a · inbound
SVSR: A Self-Verification and Self-Rectification Paradigm for Multimodal Reasoning cites this paper.
SVSR: A Self-Verification and Self-Rectification Paradigm for Multimodal Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bda38c06-9ec6-46ea-8562-c5027c81e588 · inbound
SVSR: A Self-Verification and Self-Rectification Paradigm for Multimodal Reasoning cites this paper.
SVSR: A Self-Verification and Self-Rectification Paradigm for Multimodal Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T22:47:33.917420Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76a04c12-74a7-4501-a022-b6575dd8aab0 · inbound
CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning cites this paper.
CoTEvol: Self-Evolving Chain-of-Thoughts for Data Synthesis in Mathematical Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bf86c04b-90ac-4460-a3bf-f6cb036765e5 · inbound
Fine-Tuning Small Reasoning Models for Quantum Field Theory cites this paper.
Fine-Tuning Small Reasoning Models for Quantum Field Theory rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 84324a20-d793-4820-9f8a-78fecad56a1f · inbound
A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws cites this paper.
A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 75
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 48368654-04ff-49e0-84d2-81553fe4a869 · inbound
A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws cites this paper.
A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 76
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T09:05:36.328782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 431bed34-8c12-4e7b-b2f4-f4f571024482 · inbound
IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning cites this paper.
IRIS: Interleaved Reinforcement with Incremental Staged Curriculum for Cross-Lingual Mathematical Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 980b8362-b7da-4dd0-943b-77bf37fa5c77 · inbound
Confidence-Aware Alignment Makes Reasoning LLMs More Reliable cites this paper.
Confidence-Aware Alignment Makes Reasoning LLMs More Reliable rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f820cb88-4dff-4174-a2d3-7ab13abeaacc · inbound
Mathematical Reasoning via Intervention-Based Time-Series Causal Discovery Using LLMs as Concept Mastery Simulators cites this paper.
Mathematical Reasoning via Intervention-Based Time-Series Causal Discovery Using LLMs as Concept Mastery Simulators rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 68428fb5-62ff-4d18-b2d9-6d86d8def2e4 · inbound
PriorZero: Bridging Language Priors and World Models for Decision Making cites this paper.
PriorZero: Bridging Language Priors and World Models for Decision Making rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 90b203d4-4837-4398-ba2a-202f27da154a · inbound
Many-Shot CoT-ICL: Making In-Context Learning Truly Learn cites this paper.
Many-Shot CoT-ICL: Making In-Context Learning Truly Learn rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T04:43:48.343981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a8d5e88f-8379-4512-ab09-629fe4024d65 · inbound
Graphs of Research: Citation Evolution Graphs as Supervision for Research Idea Generation cites this paper.
Graphs of Research: Citation Evolution Graphs as Supervision for Research Idea Generation rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T20:55:04.014261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 335db1e3-ef65-49d7-a9e9-c6de0432b6f6 · inbound
PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-Play cites this paper.
PopuLoRA: Co-Evolving LLM Populations for Reasoning Self-Play rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 64
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T21:42:48.129101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d890c629-6899-4748-9604-6f67267dcb76 · inbound
STRIDE: Learnable Stepwise Language Feedback for LLM Reasoning cites this paper.
STRIDE: Learnable Stepwise Language Feedback for LLM Reasoning rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T20:49:00.759777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 89f1e9a3-e938-492c-bd54-04a02c7bbea4 · inbound
Mathematical Reasoning in Large Language Models: Benchmarks, Architectures, Evaluation, and Open Challenges cites this paper.
Mathematical Reasoning in Large Language Models: Benchmarks, Architectures, Evaluation, and Open Challenges rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T16:29:56.962393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdd2fe36-2bab-4888-9b2f-9ea87f2b85d7 · inbound
When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards cites this paper.
When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T23:04:01.277826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0eaae3cb-75a9-4dd7-8adf-e5e48f807740 · inbound
Learning to Adapt SFT Data for Better Reasoning Generalization cites this paper.
Learning to Adapt SFT Data for Better Reasoning Generalization rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 3
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T18:23:51.093488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 1ea2f4e8-f7a8-4aec-aab2-c024f249b556 · inbound
Efficient Test-time Inference for Generative Planning Models with OCL Search cites this paper.
Efficient Test-time Inference for Generative Planning Models with OCL Search rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-28T19:52:35.142296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 59d40125-828c-4873-971f-b962ae58cf41 · inbound
From Answers to States: Verifiable Process-Level Evaluation of Chemical Reasoning in Large Language Models cites this paper.
From Answers to States: Verifiable Process-Level Evaluation of Chemical Reasoning in Large Language Models rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T03:46:32.853097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 87c65115-8ac5-42d5-b79b-9fea48415870 · inbound
Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces cites this paper.
Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T08:46:48.975501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9e8d504b-0622-434f-a03e-94d45c695e4a · inbound
Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces cites this paper.
Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 48
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-27T22:31:21.447916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 90d15e96-d409-4d4a-9b50-c4a9c5f5f5ca · inbound
Improving Multimodal Reasoning via Worst Dimension Optimization cites this paper.
Improving Multimodal Reasoning via Worst Dimension Optimization rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T17:37:14.796624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation d65ea05a-f974-467a-a5e5-e3cd492beba8 · inbound
CATPO: Critique-Augmented Tree Policy Optimization cites this paper.
CATPO: Critique-Augmented Tree Policy Optimization rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-27T19:31:09.966790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ed7f0660-4b5f-487c-bb4d-736115358585 · inbound
The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.
The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Reference 82
- Resolution
- verified exact
- local_arxiv, observed 2026-06-27T13:00:56.139993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.