Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models | Paper Citation Record

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An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs cites this paper.

An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 5

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Training Language Models to Self-Correct via Reinforcement Learning cites this paper.

Training Language Models to Self-Correct via Reinforcement Learning Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 62

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

Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 20

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Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision cites this paper.

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 54

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Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models cites this paper.

Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 43

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Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models cites this paper.

Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 45

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Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 179

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LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 206

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Observation dfb035d9-6bd0-4e64-941e-10e63facb169 · inbound

From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons cites this paper.

From Multimodal LLMs to Generalist Embodied Agents: Methods and Lessons Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 77

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HARP: A challenging human-annotated math reasoning benchmark cites this paper.

HARP: A challenging human-annotated math reasoning benchmark Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 10

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How to Synthesize Text Data without Model Collapse? cites this paper.

How to Synthesize Text Data without Model Collapse? Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 55

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Observation 265d8a8a-7cc2-41c6-a0ca-0744a93834d0 · inbound

Offline Reinforcement Learning for LLM Multi-Step Reasoning cites this paper.

Offline Reinforcement Learning for LLM Multi-Step Reasoning Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 7

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Observation 9f49c1a7-e212-4bc3-a9ba-bc786c6bdd6b · inbound

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners cites this paper.

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 2006

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Diving into Self-Evolving Training for Multimodal Reasoning cites this paper.

Diving into Self-Evolving Training for Multimodal Reasoning Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 34

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Observation a59cf79e-a084-41e7-bdb3-7e90ec44fad5 · inbound

Can Large Language Models Improve SE Active Learning via Warm-Starts? cites this paper.

Can Large Language Models Improve SE Active Learning via Warm-Starts? Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 66

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Observation 62c545dd-1679-48f5-8457-0d0f6884a179 · inbound

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding cites this paper.

ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process Rewarding Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 33

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RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? cites this paper.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 32

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Observation faeffd8c-00fd-4ec4-83ba-5d5f2b921b3e · inbound

BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning cites this paper.

BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 48

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To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization cites this paper.

To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 26

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Observation ac222a59-b313-4bcc-bae0-bc83508d9445 · inbound

Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges cites this paper.

Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 57

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Observation 9d71f355-0c72-46e5-90a0-db7e7604bc31 · inbound

QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search cites this paper.

QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 20

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Observation b96d62a6-a0d1-4148-bbf0-1a7fce3401f7 · inbound

Demystifying Long Chain-of-Thought Reasoning in LLMs cites this paper.

Demystifying Long Chain-of-Thought Reasoning in LLMs Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 4

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Observation 2957bce5-2342-4b0d-b755-bf63fd216b50 · inbound

LLMs can be easily Confused by Instructional Distractions cites this paper.

LLMs can be easily Confused by Instructional Distractions Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 39

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Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning cites this paper.

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 61

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Observation 984f8bfb-1d13-4390-9e06-041949791329 · inbound

Policy Guided Tree Search for Enhanced LLM Reasoning cites this paper.

Policy Guided Tree Search for Enhanced LLM Reasoning Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 49

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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 Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 192

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Observation e247596f-c4d8-45a6-9b26-2b9f341b0783 · inbound

OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles cites this paper.

OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 63

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Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 159

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Observation d7a45e69-b45a-45a8-98ac-eb70033b135c · inbound

Think, Prune, Train, Improve: Scaling Reasoning without Scaling Models cites this paper.

Think, Prune, Train, Improve: Scaling Reasoning without Scaling Models Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 8

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Observation c0da9749-2e12-439c-b471-e5f0f21f102a · inbound

Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving cites this paper.

Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 16

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Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL cites this paper.

Optimizing Chain-of-Thought Reasoners via Gradient Variance Minimization in Rejection Sampling and RL Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 35

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ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution cites this paper.

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 37

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Observation 1b0d8153-130a-4b51-ad38-58be24bf47bb · inbound

Generalizing Large Language Model Usability Across Resource-Constrained cites this paper.

Generalizing Large Language Model Usability Across Resource-Constrained Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 116

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Observation d1f3863e-7606-483e-a643-b3fc8dfbc7fe · inbound

SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models cites this paper.

SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 13

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Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 215

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Maximizing Confidence Alone Improves Reasoning cites this paper.

Maximizing Confidence Alone Improves Reasoning Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 42

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HardTests: Synthesizing High-Quality Test Cases for LLM Coding cites this paper.

HardTests: Synthesizing High-Quality Test Cases for LLM Coding Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 22

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Observation e5e4dfcb-47a4-4f45-a5dd-578774dff898 · inbound

SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms cites this paper.

SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 12

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Observation 607c30cf-eaaf-4c8f-8c72-1a6015fcdd00 · inbound

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training cites this paper.

CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-Training Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 2024

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Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models cites this paper.

Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 42

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SyncLoop: A Multimodal Dual-Loop Framework for Self-Improving Mathematical Reasoning cites this paper.

SyncLoop: A Multimodal Dual-Loop Framework for Self-Improving Mathematical Reasoning Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 42

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Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding cites this paper.

Utilizing Training Data to Improve LLM Reasoning for Tabular Understanding Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 30

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Observation 87b836da-7df4-457d-a007-3dbb733fc341 · inbound

ReST-RL: Achieving Accurate Code Reasoning of LLMs with Optimized Self-Training and Decoding cites this paper.

ReST-RL: Achieving Accurate Code Reasoning of LLMs with Optimized Self-Training and Decoding Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 12

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Observation 804b351d-d527-4650-a4b3-d6ec3000e6d0 · inbound

Learn from What We HAVE: History-Aware VErifier that Reasons about Past Interactions Online cites this paper.

Learn from What We HAVE: History-Aware VErifier that Reasons about Past Interactions Online Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 20

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Observation 1ffe2ae4-5226-4f86-b0fb-2daf5a0086f6 · inbound

Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems cites this paper.

Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 32

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Observation 890e5f64-f821-448e-8cc0-bf83393f31d0 · inbound

GPO: Learning from Critical Steps to Improve LLM Reasoning cites this paper.

GPO: Learning from Critical Steps to Improve LLM Reasoning Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 30

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Observation e5abc5f4-acb5-49b1-a537-180ae38e0bbb · inbound

rePIRL: Learn PRM with Inverse RL for LLM Reasoning cites this paper.

rePIRL: Learn PRM with Inverse RL for LLM Reasoning Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 25

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Observation 790c996a-e57a-453a-a2cc-5e7228b8c615 · inbound

rePIRL: Learn PRM with Inverse RL for LLM Reasoning cites this paper.

rePIRL: Learn PRM with Inverse RL for LLM Reasoning Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 2016

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Observation 5f340510-3d13-47fd-b388-cdd51ecdeb84 · 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 Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 27

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Observation 8c37dfd8-83f4-4fe2-b809-033c678ab898 · inbound

Turbo Connection: Reasoning as Information Flow from Higher to Lower Layers cites this paper.

Turbo Connection: Reasoning as Information Flow from Higher to Lower Layers Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 22

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Observation 924abd59-3f5f-43c1-a9ff-3d048b97ebd4 · inbound

Space Syntax-guided Post-training for Residential Floor Plan Generation cites this paper.

Space Syntax-guided Post-training for Residential Floor Plan Generation Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 44

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Observation c391cbcd-6896-4f3d-856f-c02b0e90f75a · inbound

PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues cites this paper.

PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:14:10.818457Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 734bac73-6aee-4772-a492-e877d7328eae · inbound

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data cites this paper.

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:46:06.930542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation af2a7b0e-a535-4cb4-814f-64525ee14ee4 · inbound

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data cites this paper.

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:55:12.106795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 83deb363-64c7-4970-958d-fc6bd40d1a98 · inbound

Segment-Aligned Policy Optimization for Multi-Modal Reasoning cites this paper.

Segment-Aligned Policy Optimization for Multi-Modal Reasoning Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:51:07.861678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b8c432ad-a1c4-4228-8f84-5e9a210351c7 · inbound

Beyond Negative Rollouts: Positive-Only Policy Optimization with Implicit Negative Gradients cites this paper.

Beyond Negative Rollouts: Positive-Only Policy Optimization with Implicit Negative Gradients Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:16:08.428351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4df2d3ef-ea52-4954-ac9b-091668ef48f3 · inbound

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation cites this paper.

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:24:08.738134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2d8e60a0-23ff-491b-888b-6e971a037740 · inbound

RISE: Reliable Improvement in Self-Evolving Vision-Language Models cites this paper.

RISE: Reliable Improvement in Self-Evolving Vision-Language Models Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:39:40.598262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7fbeceff-a5d9-481c-975e-d297f43c2bed · inbound

RISE: Reliable Improvement in Self-Evolving Vision-Language Models cites this paper.

RISE: Reliable Improvement in Self-Evolving Vision-Language Models Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:24:57.549368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 66f7a843-37d7-49f4-bd12-4b296193d4ae · inbound

Self-Policy Distillation via Capability-Selective Subspace Projection cites this paper.

Self-Policy Distillation via Capability-Selective Subspace Projection Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:34:40.416173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5eb8abed-a77d-444c-800a-cad6063f909a · inbound

Peak-Then-Collapse and the Four Interface Channels of Knowledge-Graph Tool Use cites this paper.

Peak-Then-Collapse and the Four Interface Channels of Knowledge-Graph Tool Use Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T21:23:58.942626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 162d4ffc-93b7-43b0-9ec3-d2daf9973525 · inbound

DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization cites this paper.

DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T00:02:50.297157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b1ad4b1d-ebb2-4778-83a0-a03e9fe21758 · inbound

Robust Reasoning via Dynamic Token Selection for Distribution-Aligned Self-Distillation cites this paper.

Robust Reasoning via Dynamic Token Selection for Distribution-Aligned Self-Distillation Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:22:35.025991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 71a6711c-6d6e-4d83-8eba-186cf78d6b44 · 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 Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:46:48.965970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 667f03c4-2391-4a3c-bcd0-3a76d4a86077 · inbound

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients cites this paper.

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 77

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:48:56.134444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e3ccd73e-cf5c-42c6-8855-488529460e81 · inbound

DRIFT: Refining Instruction Data via On-Policy Data Attribution cites this paper.

DRIFT: Refining Instruction Data via On-Policy Data Attribution Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:18:54.719160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f8137536-2793-4e73-828e-8f691d7d3b6d · inbound

Data Selection Through Iterative Self-Filtering for Vision-Language Settings cites this paper.

Data Selection Through Iterative Self-Filtering for Vision-Language Settings Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:49:44.969512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dcf81913-45a8-4a5f-bf89-88c9345346a9 · inbound

On-Policy Self-Distillation with Sampled Demonstrations Reduces Output Diversity cites this paper.

On-Policy Self-Distillation with Sampled Demonstrations Reduces Output Diversity Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-07-04T21:00:08.422731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c88cb04e-be10-40ae-bda7-3e86ffdc71c1 · inbound

Paying More Attention to Visual Tokens in Self-Evolving Large Multimodal Models cites this paper.

Paying More Attention to Visual Tokens in Self-Evolving Large Multimodal Models Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:39:50.967732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6cb802be-2f28-43ef-a056-6c9296fdc956 · inbound

PHF: Privileged Hidden Flow for On-Policy Self-Distillation cites this paper.

PHF: Privileged Hidden Flow for On-Policy Self-Distillation Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-06-30T07:34:21.811633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bd21824f-69a1-4582-8962-2589159d7811 · inbound

Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular Optimization cites this paper.

Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular Optimization Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:17:08.604206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 90ab09a6-18ef-4af7-bb5b-b663d1979ec4 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 205

Resolution: unresolved; no resolver link, observed 2026-07-11T13:53:36.775836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5c001a8-f646-4831-b290-bdd4ceadd008 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 206

Resolution: unresolved; no resolver link, observed 2026-08-02T08:40:56.405118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d3c46f9-bc77-4557-bd9f-699103e384a7 · inbound

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation cites this paper.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T17:25:37.713857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13dd479b-e987-4d72-adad-948b0c3a7dfb · inbound

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp cites this paper.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-14T10:51:16.019022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0ff153d-3cab-4e56-aead-9b7e7bd48a79 · inbound

Post-Training Shifts Confidence: A Three-Stage Analysis of How SFT, RL, and OPD Shape CoT Calibration cites this paper.

Post-Training Shifts Confidence: A Three-Stage Analysis of How SFT, RL, and OPD Shape CoT Calibration Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-02T03:56:26.701252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1620c7f-8ad5-43ff-bc27-7b2489a9d2b6 · inbound

Answer-Conditioned Chains of Thought Degrade Verifiable-Reasoning Distillation in Large Language Models cites this paper.

Answer-Conditioned Chains of Thought Degrade Verifiable-Reasoning Distillation in Large Language Models Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T01:52:28.936526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f75ed8b3-e8bc-4b2e-9605-2afc67667824 · inbound

CoTu at EXACT 2026: Neuro-Symbolic Reasoning for Transparent Educational QA cites this paper.

CoTu at EXACT 2026: Neuro-Symbolic Reasoning for Transparent Educational QA Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T01:15:33.669821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8601a47d-6b23-4ca9-8ba9-1fc876d16795 · inbound

Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information cites this paper.

Off-Context GRPO: Learning to Reason on Hard Problems using Privileged Information Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T12:54:34.843879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0be574e1-6fbf-4c6b-96a8-61d630984dcf · inbound

FormulaSPIN: Self-Play Fine-Tuning for Natural Language to Spreadsheet Formula Generation cites this paper.

FormulaSPIN: Self-Play Fine-Tuning for Natural Language to Spreadsheet Formula Generation Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T13:32:13.493804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05e6d4e8-23ee-4cdc-b797-a7c0281ffebe · inbound

Bridging Compute- and Data-Optimal Pretraining cites this paper.

Bridging Compute- and Data-Optimal Pretraining Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 171

Resolution: unresolved; no resolver link, observed 2026-08-01T03:02:08.797292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f08c263-545e-4637-b701-934097b26025 · inbound

From Scoring to Acting: Outcome-Verified Comparative Self-Distillation for LLM Agents cites this paper.

From Scoring to Acting: Outcome-Verified Comparative Self-Distillation for LLM Agents Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-31T22:51:49.392233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2689870-d8ac-4522-a585-d2f1e16e5a9b · inbound

Recursive Synthesis for Long-Horizon Terminal Tasks cites this paper.

Recursive Synthesis for Long-Horizon Terminal Tasks Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T12:35:01.459919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e6c19ce-8f43-4cca-8b91-8acaebf75c24 · inbound

Recursive Synthesis for Long-Horizon Terminal Tasks cites this paper.

Recursive Synthesis for Long-Horizon Terminal Tasks Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.362344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c35085c4-e018-450c-96f8-9517ab8c39cb · inbound

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling cites this paper.

ThinkRetrieve: Retrieval-Augmented Reasoning Traces for Test-Time Scaling Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Reference 147

Resolution: unresolved; no resolver link, observed 2026-08-12T14:10:45.595055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers