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

Observation ab4126f8-e276-4acd-b497-4213e1f02631 · inbound

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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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 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 2c04f306-b46e-4265-ba4b-088a53fde1bc · inbound

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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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 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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Observation e6128fac-ad80-4c3e-8161-404773e5b32b · inbound

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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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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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 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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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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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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