Learning to Reason at the Frontier of Learnability | Paper Citation Record

Observation 4f7f7a4c-d5f1-4184-8a17-8f69d175f469 · outbound

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

Learning to Reason at the Frontier of Learnability DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.069190Z

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Observation c2cbddbf-206a-4b79-9e27-6848eb81e78e · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Learning to Reason at the Frontier of Learnability Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.038058Z

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Observation fdaf63a6-feec-45ff-9f96-01aa0bad26f3 · outbound

This paper cites Learning to reason with llms.

Learning to Reason at the Frontier of Learnability Learning to reason with llms

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.556981Z

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Observation b290130e-c07f-4672-9a7d-35b03ff5ed0b · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

Learning to Reason at the Frontier of Learnability Understanding R1-Zero-Like Training: A Critical Perspective

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.030208Z

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Observation 7046d60f-b54a-4c5a-a42b-cca48dcecaad · outbound

This paper cites Vineppo: Unlocking rl potential for llm reasoning through refined credit assignment.

Learning to Reason at the Frontier of Learnability Vineppo: Unlocking rl potential for llm reasoning through refined credit assignment

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.553779Z

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Observation 66fa54c1-421c-4938-8538-0c19b137cf03 · outbound

This paper cites VinePPO: Refining Credit Assignment in RL Training of LLMs.

Learning to Reason at the Frontier of Learnability VinePPO: Refining Credit Assignment in RL Training of LLMs

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.025966Z

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Observation 79f22151-c393-4174-970b-f15eaa667fd7 · outbound

This paper cites Group Robust Preference Optimization in Reward-free RLHF.

Learning to Reason at the Frontier of Learnability Group Robust Preference Optimization in Reward-free RLHF

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.236094Z

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Observation b2f396c2-77ad-4b05-8ab4-ceb0fcc0b99c · outbound

This paper cites Proximal Policy Optimization Algorithms.

Learning to Reason at the Frontier of Learnability Proximal Policy Optimization Algorithms

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.231736Z

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Observation 137dd64d-fe7f-46dd-bbdb-6ecd5ba5c84e · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Learning to Reason at the Frontier of Learnability Training Verifiers to Solve Math Word Problems

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.227411Z

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Observation 42f79281-0270-42b9-9207-899617751327 · outbound

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

Learning to Reason at the Frontier of Learnability Measuring Mathematical Problem Solving With the MATH Dataset

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.081240Z

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Observation 0c878d87-271b-49f9-a748-107161b0410d · outbound

This paper cites Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model.

Learning to Reason at the Frontier of Learnability Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.222795Z

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Observation 95ee720f-f476-4f9e-b569-0f3e85e7c30c · outbound

This paper cites Rho-1: Not All Tokens Are What You Need.

Learning to Reason at the Frontier of Learnability Rho-1: Not All Tokens Are What You Need

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.218182Z

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Observation f955939b-2b2a-4736-afb8-5f09842eb4d9 · outbound

This paper cites Qwen2.5 technical report.

Learning to Reason at the Frontier of Learnability Qwen2.5 technical report

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.549825Z

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Observation 6a7030aa-b42a-4730-9853-349c3df3b941 · outbound

This paper cites MathScale: Scaling Instruction Tuning for Mathematical Reasoning.

Learning to Reason at the Frontier of Learnability MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.213553Z

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Observation 8393f775-1f3a-43ca-937d-3c5d42a98506 · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

Learning to Reason at the Frontier of Learnability OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.208213Z

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Observation e66f894e-8ce2-45d8-b1a6-37b0f8284d24 · outbound

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

Learning to Reason at the Frontier of Learnability Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.045213Z

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Observation f494981d-ec13-4c91-babe-835993ab72ce · outbound

This paper cites Proximal Curriculum for Reinforcement Learning Agents.

Learning to Reason at the Frontier of Learnability Proximal Curriculum for Reinforcement Learning Agents

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.073171Z

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Observation ebdc1395-d93e-4c1b-9d96-bd4315a448ef · outbound

This paper cites Automatic goal generation for reinforcement learning agents.

Learning to Reason at the Frontier of Learnability Automatic goal generation for reinforcement learning agents

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.523015Z

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Observation 1dce26a7-21f9-435d-a4e5-30ef10cb0337 · outbound

This paper cites No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery.

Learning to Reason at the Frontier of Learnability No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.141497Z

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Observation 6e35180a-fdf5-4874-95a9-d1a9af850592 · outbound

This paper cites Williams.

Learning to Reason at the Frontier of Learnability Williams

Reference 20

Resolution: metadata mismatch; doi, observed 2026-05-23T02:42:25.514626Z

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Observation dca9b697-bd7c-4ec7-9771-f0cff09a2db2 · outbound

This paper cites Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models.

Learning to Reason at the Frontier of Learnability Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.179007Z

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Observation aaeb81a3-ee00-4047-b28f-a9f6e50632e0 · outbound

This paper cites OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework.

Learning to Reason at the Frontier of Learnability OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.089482Z

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Observation 10e0113a-ee17-49aa-9fcc-e8b7130c4ad7 · outbound

This paper cites There may not be aha moment in r1-zero-like training — a pilot study.

Learning to Reason at the Frontier of Learnability There may not be aha moment in r1-zero-like training — a pilot study

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.519337Z

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Observation ee5c9610-11d4-4c2e-856c-651230236188 · outbound

This paper cites Numinamath.

Learning to Reason at the Frontier of Learnability Numinamath

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.573705Z

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Observation d8c04222-da3e-444d-b7b9-697610f088e4 · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

Learning to Reason at the Frontier of Learnability Solving Quantitative Reasoning Problems with Language Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.053039Z

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Observation 23390e2f-76d4-4c61-b3fb-2f047a4552c5 · outbound

This paper cites Teaching Large Language Models to Reason with Reinforcement Learning.

Learning to Reason at the Frontier of Learnability Teaching Large Language Models to Reason with Reinforcement Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.085841Z

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Observation e13af358-449a-4dc1-b110-c6013ee8c5fb · outbound

This paper cites Prioritized Level Replay.

Learning to Reason at the Frontier of Learnability Prioritized Level Replay

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.065432Z

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Observation d59497fd-ba5c-400e-83c3-3288b371159f · outbound

This paper cites Learning Montezuma's Revenge from a Single Demonstration.

Learning to Reason at the Frontier of Learnability Learning Montezuma's Revenge from a Single Demonstration

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.057246Z

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Observation b9767396-8989-4e33-86e3-0366a0ea8681 · outbound

This paper cites Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive.

Learning to Reason at the Frontier of Learnability Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.061849Z

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Observation 5ba38af3-159d-467c-9c25-3b7f99c5bbf9 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Learning to Reason at the Frontier of Learnability DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.203304Z

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Observation a248f80a-a5e1-4951-93b9-13e1d36b7984 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Learning to Reason at the Frontier of Learnability Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.188553Z

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Observation b7293fb5-3be6-4a7c-9258-bd6653cd1ae0 · outbound

This paper cites Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning.

Learning to Reason at the Frontier of Learnability Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.183846Z

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Observation fccbdeb1-b453-4849-a485-80f6c0eee41e · outbound

This paper cites The llama 4 herd: The beginning of a new era of natively multimodal ai innovation.

Learning to Reason at the Frontier of Learnability The llama 4 herd: The beginning of a new era of natively multimodal ai innovation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.511125Z

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Observation 017d8ccd-e4a3-4d4e-a1d6-29eda5c39b62 · outbound

This paper cites Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design.

Learning to Reason at the Frontier of Learnability Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.198274Z

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Observation 64e71307-ec78-4c6e-9ae0-e2a5656ffd7d · outbound

This paper cites Minigrid & miniworld: Modular & customizable reinforcement learning environments for goal-oriented tasks.

Learning to Reason at the Frontier of Learnability Minigrid & miniworld: Modular & customizable reinforcement learning environments for goal-oriented tasks

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.567335Z

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Observation 2dbf633d-26d8-46a5-8cd3-57a13e2ed0ed · outbound

This paper cites XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX.

Learning to Reason at the Frontier of Learnability XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.048877Z

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Observation 8d6e0c89-2840-4822-a6f3-7c0dbb8d85cb · outbound

This paper cites JaxMARL: Multi-Agent RL Environments and Algorithms in JAX.

Learning to Reason at the Frontier of Learnability JaxMARL: Multi-Agent RL Environments and Algorithms in JAX

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-07T02:17:02.673620Z

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Observation 66e42759-9de4-40d8-8858-fdd92eea52f3 · outbound

This paper cites OpenAI Gym.

Learning to Reason at the Frontier of Learnability OpenAI Gym

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.173933Z

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Observation 6a88b35b-2f4c-4967-ab08-229c79b51f0a · outbound

This paper cites JAX: composable transformations of Python+NumPy programs.

Learning to Reason at the Frontier of Learnability JAX: composable transformations of Python+NumPy programs

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.507646Z

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Observation 75b9796e-604a-43ed-a377-36da011eea82 · outbound

This paper cites Measuring short-form factuality in large language models.

Learning to Reason at the Frontier of Learnability Measuring short-form factuality in large language models

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.155841Z

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Observation b3d21010-bb44-459f-a500-7b07dff31324 · outbound

This paper cites Evolving Curricula with Regret-Based Environment Design.

Learning to Reason at the Frontier of Learnability Evolving Curricula with Regret-Based Environment Design

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.165070Z

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Observation e35f324e-bd90-4fd6-bc13-56172bca0ec5 · outbound

This paper cites Absolute Zero: Reinforced Self-play Reasoning with Zero Data.

Learning to Reason at the Frontier of Learnability Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.077279Z

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Observation ab6cbce9-9fc2-40f7-97e6-c4081d05ce6f · outbound

This paper cites an unresolved cited work.

Learning to Reason at the Frontier of Learnability Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-05-23T02:47:27.563811Z

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Observation 3de0a68b-6434-47f1-a568-07ee7e0a358c · outbound

This paper cites Curriculum learning.

Learning to Reason at the Frontier of Learnability Curriculum learning

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.503948Z

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Observation e4019767-2d6d-40b9-84de-c43f166aca00 · outbound

This paper cites Learning and development in neural networks: The importance of starting small.

Learning to Reason at the Frontier of Learnability Learning and development in neural networks: The importance of starting small

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.500421Z

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Observation 0d215df8-c324-44a5-adaa-71f935de9a1d · outbound

This paper cites Online batch selection for faster training of neural networks.

Learning to Reason at the Frontier of Learnability Online batch selection for faster training of neural networks

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.496724Z

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Observation bda077f8-05ae-47ac-951f-036e3f34c4e6 · outbound

This paper cites Online Batch Selection for Faster Training of Neural Networks.

Learning to Reason at the Frontier of Learnability Online Batch Selection for Faster Training of Neural Networks

Reference 47

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T02:42:26.116137Z

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Observation 56f0f289-b948-4ea1-90a1-8512750e7c1d · outbound

This paper cites Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization.

Learning to Reason at the Frontier of Learnability Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.193403Z

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Observation 658cc2a6-ce97-4eb2-93cf-fe04e7e4dc14 · outbound

This paper cites Accelerating Deep Learning by Focusing on the Biggest Losers.

Learning to Reason at the Frontier of Learnability Accelerating Deep Learning by Focusing on the Biggest Losers

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.150995Z

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Observation 8390b0f2-a71e-42e1-9618-87e0c85d49cc · outbound

This paper cites Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks.

Learning to Reason at the Frontier of Learnability Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.169796Z

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Observation adf83da6-8a75-4fd5-8bb9-4405c3e7615a · outbound

This paper cites Active learning literature survey.

Learning to Reason at the Frontier of Learnability Active learning literature survey

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.492887Z

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Observation afc46c93-d264-4c35-9265-de39385a70cf · outbound

This paper cites Confidence-based active learning.

Learning to Reason at the Frontier of Learnability Confidence-based active learning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.489016Z

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Observation 0cd69aea-9ee3-423a-9512-d3105fcdcb0a · outbound

This paper cites Selection via Proxy: Efficient Data Selection for Deep Learning.

Learning to Reason at the Frontier of Learnability Selection via Proxy: Efficient Data Selection for Deep Learning

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.121575Z

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Observation b9113709-88e6-462b-9b33-c67eb55989bb · outbound

This paper cites Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt.

Learning to Reason at the Frontier of Learnability Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.126116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 898ef982-bd6f-4e4f-b954-3510565f7a36 · outbound

This paper cites An Overview and a Benchmark of Active Learning for Outlier Detection with One-Class Classifiers.

Learning to Reason at the Frontier of Learnability An Overview and a Benchmark of Active Learning for Outlier Detection with One-Class Classifiers

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.111402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f064bdf0-fd28-4c58-9430-a0768496b8c0 · outbound

This paper cites Training deep models faster with robust, approximate importance sampling.

Learning to Reason at the Frontier of Learnability Training deep models faster with robust, approximate importance sampling

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.622517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2a4d60cb-1c34-478e-bd5e-6b3a0e26c75d · outbound

This paper cites Not all samples are created equal: Deep learning with importance sampling.

Learning to Reason at the Frontier of Learnability Not all samples are created equal: Deep learning with importance sampling

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.618558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 341adf48-c1a3-4997-815f-3196b743385b · outbound

This paper cites Self-paced learning for latent variable models.

Learning to Reason at the Frontier of Learnability Self-paced learning for latent variable models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.634546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ad35adb3-e42d-4c0e-92c1-9c32b935e279 · outbound

This paper cites Automated Curriculum Learning for Neural Networks.

Learning to Reason at the Frontier of Learnability Automated Curriculum Learning for Neural Networks

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.130839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e480ceff-129f-4204-8390-55f1b6bf2d4f · outbound

This paper cites Teacher-Student Curriculum Learning.

Learning to Reason at the Frontier of Learnability Teacher-Student Curriculum Learning

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.097838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f7a01818-4359-47b6-a735-ded8010df04b · outbound

This paper cites A survey of multi-task deep reinforcement learning.

Learning to Reason at the Frontier of Learnability A survey of multi-task deep reinforcement learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.611853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4d81e9e8-2b97-4458-813d-3fd6076f4007 · outbound

This paper cites Automatic curriculum learning through value disagreement.

Learning to Reason at the Frontier of Learnability Automatic curriculum learning through value disagreement

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.604553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c3e9b355-ff56-4a18-8a1b-b0961559ae68 · outbound

This paper cites Automatic Curriculum Learning through Value Disagreement.

Learning to Reason at the Frontier of Learnability Automatic Curriculum Learning through Value Disagreement

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.106419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 64a38f54-5c17-4084-a444-728db0e96793 · outbound

This paper cites Information-theoretic Task Selection for Meta-Reinforcement Learning.

Learning to Reason at the Frontier of Learnability Information-theoretic Task Selection for Meta-Reinforcement Learning

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.093984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 70dea3b6-cd80-46cf-8035-3d6f2862fc7a · outbound

This paper cites Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning.

Learning to Reason at the Frontier of Learnability Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.135156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1f05f239-4449-48a3-b8f2-60e199228dce · outbound

This paper cites Skew-Fit: State-Covering Self-Supervised Reinforcement Learning.

Learning to Reason at the Frontier of Learnability Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

Reference 66

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T02:42:26.146328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 727e61de-24b1-4793-b80a-fdf8899f22fe · outbound

This paper cites CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments.

Learning to Reason at the Frontier of Learnability CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.101950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c34e21d6-43e9-4e82-bc52-0fda7635b0e5 · outbound

This paper cites Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation.

Learning to Reason at the Frontier of Learnability Goal-GAN: Multimodal Trajectory Prediction Based on Goal Position Estimation

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.034216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7124d511-8153-4b2c-9e55-ffa1792fb33e · outbound

This paper cites Prioritized Experience Replay.

Learning to Reason at the Frontier of Learnability Prioritized Experience Replay

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.041639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cf3a376b-7f5e-449c-bb41-3270b1bba14a · outbound

This paper cites In [48] the authors use the loss from a pre-trained model to estimate the difficulty of new samples for a freshly initialized network learning a new task.

Learning to Reason at the Frontier of Learnability In [48] the authors use the loss from a pre-trained model to estimate the difficulty of new samples for a freshly initialized network learning a new task

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.597336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e4942561-ca24-4a84-8d16-c660bc6881de · outbound

This paper cites LILO can be seen as using return variance—or learnability—as an estimator of entropy or uncertainty.

Learning to Reason at the Frontier of Learnability LILO can be seen as using return variance—or learnability—as an estimator of entropy or uncertainty

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.580531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e6b2d2c2-ed7d-4ac1-ad38-a25ab2db34a8 · outbound

This paper cites This allows prioritizing samples that maximize the change in loss—i.e., the model’s learning progress [ 52, 11, 53, 49].

Learning to Reason at the Frontier of Learnability This allows prioritizing samples that maximize the change in loss—i.e., the model’s learning progress [ 52, 11, 53, 49]

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.585243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 249db8c9-8b4f-4918-ba51-3441497bc233 · outbound

This paper cites Self-paced learning [56] is an early approach that allows the model to determine the pace at which it incorporates harder examples with higher values of U.

Learning to Reason at the Frontier of Learnability Self-paced learning [56] is an early approach that allows the model to determine the pace at which it incorporates harder examples with higher values of U

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.608148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c813b16f-bd7c-49aa-a48c-5d1e9b73ad32 · outbound

This paper cites Each bullet point contains a claim and a hyperlink to the section of the paper that proves the claim.

Learning to Reason at the Frontier of Learnability Each bullet point contains a claim and a hyperlink to the section of the paper that proves the claim

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.534779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5eb58b2e-1dfe-408b-a88e-b0a9712c4ceb · outbound

This paper cites Section 7 also contains some limitations.

Learning to Reason at the Frontier of Learnability Section 7 also contains some limitations

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.527386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 78f48f7a-df59-48fa-9422-db9011825e5b · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.

Learning to Reason at the Frontier of Learnability Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.542651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3145bef9-d59f-475a-9721-c673f544bdd3 · outbound

This paper cites The results in 6 were produced using open-source codebases [5] [4] and models, with some small additions of code by us.

Learning to Reason at the Frontier of Learnability The results in 6 were produced using open-source codebases [5] [4] and models, with some small additions of code by us

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.514929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a8ba68fb-4e0a-47d1-823d-1ead5b3a6ea7 · outbound

This paper cites This is described in Section 5.

Learning to Reason at the Frontier of Learnability This is described in Section 5

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.546614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dc7ecaf9-0b14-44d1-9a44-9487efbe03b1 · outbound

This paper cites All the other hyperparameters for training are replicated directly from the VinePPO [ 5] and Oat [4] libraries, and the user is directed to these in Section 5.

Learning to Reason at the Frontier of Learnability All the other hyperparameters for training are replicated directly from the VinePPO [ 5] and Oat [4] libraries, and the user is directed to these in Section 5

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.560504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d9bdbbaf-dec8-49ca-87ef-49ab1f1754ed · outbound

This paper cites We have, however, provided training curves to aid the reader in interpreting the significance of the results.

Learning to Reason at the Frontier of Learnability We have, however, provided training curves to aid the reader in interpreting the significance of the results

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.614972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d8e05a43-969a-4c9a-bbe6-3b08774999e8 · outbound

This paper cites • The paper should indicate the type of compute workers CPU or GPU, internal cluster, or cloud provider, including relevant memory and storage.

Learning to Reason at the Frontier of Learnability • The paper should indicate the type of compute workers CPU or GPU, internal cluster, or cloud provider, including relevant memory and storage

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.626385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4937820f-e32d-4279-bc46-91c07d4beddf · outbound

This paper cites Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics.

Learning to Reason at the Frontier of Learnability Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.538684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a8a36f1f-ba68-4b49-a227-65ae6d3846c6 · outbound

This paper cites Guidelines: • The answer NA means that there is no societal impact of the work performed.

Learning to Reason at the Frontier of Learnability Guidelines: • The answer NA means that there is no societal impact of the work performed

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.589234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7e20c96e-748b-44cd-8914-0ed7640fc2a7 · outbound

This paper cites Guidelines: • The answer NA means that the paper poses no such risks.

Learning to Reason at the Frontier of Learnability Guidelines: • The answer NA means that the paper poses no such risks

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.593649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6f8bbaa6-8709-40d1-8dab-d2b6437daf55 · outbound

This paper cites The two libraries we used for training (VinePPO and Oat) are both fully open-source.

Learning to Reason at the Frontier of Learnability The two libraries we used for training (VinePPO and Oat) are both fully open-source

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.570800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 990cf32f-c5b3-4c03-90c2-0d0db59eac4a · outbound

This paper cites It very simple, and could be implemented from this paper alone.

Learning to Reason at the Frontier of Learnability It very simple, and could be implemented from this paper alone

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.576905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 25126526-67c4-4dd8-9def-b2d074d6cd84 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Learning to Reason at the Frontier of Learnability Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.600904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8aa1cc51-a145-43a9-813f-4d0b0bb8c35d · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Learning to Reason at the Frontier of Learnability Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.630722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a35994fa-622d-45e2-b5de-d565cf4ea1f2 · outbound

This paper cites Answer: [NA] Justification: LLM usage was only used in a standard way for editing.

Learning to Reason at the Frontier of Learnability Answer: [NA] Justification: LLM usage was only used in a standard way for editing

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T02:47:27.531069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers