Paper Citation Record · LEDGER

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

As of 12 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 21 inbound Pith citation observations for arXiv:2511.07317.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2511.07317 v2

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:08:10.236337Z

measured 83 of 83 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:31:42.448654Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-04T18:40:03.168966Z

Reference resolution

62 of 62 outbound references displayed

verified exact0
verified fuzzy0
unresolved62
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 711a9378-d43d-44ae-85ac-9eaee17f53f4 · outbound

This paper cites write newline.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:04.359917Z

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Observation 41507d03-bcbb-42eb-bab7-f069ab16b6ad · outbound

This paper cites Aime problems and solutions.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Aime problems and solutions

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:04.445615Z

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Observation 7c049207-1df0-446a-aa0e-d0a5684a3135 · outbound

This paper cites M., Wu, Y., Powell, G., McGrew, B., and Mordatch, I.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments M., Wu, Y., Powell, G., McGrew, B., and Mordatch, I

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:04.518494Z

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Observation d0f403d2-1bb2-4db0-a725-8eeb63a00929 · outbound

This paper cites Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:04.572067Z

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Observation b04e6ac3-fb27-4529-a655-615ad5de2d78 · outbound

This paper cites Self-evolving curriculum for llm reasoning.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Self-evolving curriculum for llm reasoning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:04.630272Z

Source-reported events for the cited work

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Observation c29c4463-2279-4cd2-901a-de145fdfcccd · outbound

This paper cites Leveraging procedural generation to benchmark reinforcement learning.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Leveraging procedural generation to benchmark reinforcement learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:04.748584Z

Source-reported events for the cited work

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Observation 9535e49d-2159-455a-a9de-101bbf0ad069 · outbound

This paper cites an unresolved cited work.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:04.802059Z

Source-reported events for the cited work

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Observation c0ebb816-2aed-4d66-8ac4-8c34f78ff225 · outbound

This paper cites Process Reinforcement through Implicit Rewards.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Process Reinforcement through Implicit Rewards

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:04.849138Z

Source-reported events for the cited work

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Observation b4f9eeb1-52fa-43cf-84bf-786875497883 · outbound

This paper cites Deepseek-r1 incentivizes reasoning in llms through reinforcement learning.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Deepseek-r1 incentivizes reasoning in llms through reinforcement learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:04.933968Z

Source-reported events for the cited work

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Observation 83c99156-8ba9-4c91-aa52-838e1cac10e4 · outbound

This paper cites an unresolved cited work.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:05.021984Z

Source-reported events for the cited work

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Observation dd6500fe-364f-47cb-a18f-034c9a757fcd · outbound

This paper cites Y., and Tan, L.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Y., and Tan, L

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:05.083453Z

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Observation b88fc6d6-9a7c-4967-99de-c508fd59c761 · outbound

This paper cites an unresolved cited work.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:05.189419Z

Source-reported events for the cited work

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Observation 6241cec8-4ab9-4249-ac86-d3ee2cc9e701 · outbound

This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:05.247460Z

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Observation bfe257a2-376d-4514-a611-19c0b2631ef3 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:05.337250Z

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Observation 63845372-c90a-463d-83d9-a1ae4dedb9cb · outbound

This paper cites OpenThoughts: Data Recipes for Reasoning Models.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments OpenThoughts: Data Recipes for Reasoning Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:05.394862Z

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Observation c0722e1e-dee5-4d8b-9c9c-7859f02264a0 · outbound

This paper cites L., Shen, J., Hu, J., Han, X., Huang, Y., Zhang, Y., Liu, J., Qi, L., Liu, Z., and Sun, M.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments L., Shen, J., Hu, J., Han, X., Huang, Y., Zhang, Y., Liu, J., Qi, L., Liu, Z., and Sun, M

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:05.472364Z

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Observation 7eff8bab-4ce0-4f8b-b813-c430af938f21 · outbound

This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:05.560042Z

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Observation 5ba791f7-8638-45e5-ba25-680772fc0b65 · outbound

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

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:05.673978Z

Source-reported events for the cited work

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Observation 42f9225f-c8f4-4bc3-837a-6100450466b2 · outbound

This paper cites Prorl v2: Prolonged training validates rl scaling laws.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Prorl v2: Prolonged training validates rl scaling laws

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:05.744103Z

Source-reported events for the cited work

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Observation 54ca0bb3-93fc-4c14-aab0-4a2359dd51bb · outbound

This paper cites Brorl: Scaling reinforcement learning via broadened exploration.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Brorl: Scaling reinforcement learning via broadened exploration

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:05.823057Z

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Observation 38fba38e-0463-4c0c-82b2-238b28506783 · outbound

This paper cites Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:05.895267Z

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Observation 68b9e502-9711-4063-87ce-6832ab832e08 · outbound

This paper cites Livecodebench: Holistic and contamination free evaluation of large language models for code.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Livecodebench: Holistic and contamination free evaluation of large language models for code

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:05.978760Z

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Observation b1b10ddd-5362-49f6-9954-0259c47ac4f9 · outbound

This paper cites Prioritized level replay.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Prioritized level replay

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:06.061589Z

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Observation 59a2cb9f-857c-4e43-8d08-a06b88f9b181 · outbound

This paper cites an unresolved cited work.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:06.138272Z

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Observation c9b3361c-8da1-4f76-9532-371b05ce2414 · outbound

This paper cites V., Jain, L.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments V., Jain, L

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:06.221024Z

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Observation 7132b63c-3286-4b58-8493-a9a9e8218e2f · outbound

This paper cites The Art of Scaling Reinforcement Learning Compute for LLMs.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments The Art of Scaling Reinforcement Learning Compute for LLMs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:06.327269Z

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Observation b1bbae63-0a3f-429b-b99a-05baa91c1571 · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Kimi K2: Open Agentic Intelligence

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:06.409104Z

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Observation b0dc3d5f-5cf6-4b9b-ba7f-6fd593e0749e · outbound

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

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:06.494187Z

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Observation 84a955eb-c0bc-432a-89c3-a50398bfaba5 · outbound

This paper cites an unresolved cited work.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:06.605289Z

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Observation 8b87b70c-90e3-459e-ad40-839f969c78e5 · outbound

This paper cites The Need for a Big World Simulator: A Scientific Challenge for Continual Learning.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments The Need for a Big World Simulator: A Scientific Challenge for Continual Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:06.689110Z

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Observation 0c65452e-c59e-4c8d-a26f-34f68ec3cdec · outbound

This paper cites D., Pyatkin, V., Huang, S., Ivison, H., Brahman, F., Miranda, L.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments D., Pyatkin, V., Huang, S., Ivison, H., Brahman, F., Miranda, L

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:06.771218Z

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Observation 0c8e6dbc-9ba9-4cfc-b8db-a4b698fc7381 · outbound

This paper cites InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:06.836334Z

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Observation ca4b7185-7809-4763-8279-75bd5f975fb0 · outbound

This paper cites S., and Jaques, N.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments S., and Jaques, N

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:06.902982Z

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Observation eb63c31e-e793-413c-b0f4-ef3d588965c7 · outbound

This paper cites an unresolved cited work.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:07.071246Z

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Observation 75ec6c54-8332-439a-acf0-24e5e12fed8c · outbound

This paper cites Saturn: Sat-based reinforcement learning to unleash language model reasoning.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Saturn: Sat-based reinforcement learning to unleash language model reasoning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:07.185149Z

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Observation e2683b59-d82d-4645-8929-4126cc34d343 · outbound

This paper cites Synlogic: Synthesizing verifiable reasoning data at scale for learning logical reasoning and beyond.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Synlogic: Synthesizing verifiable reasoning data at scale for learning logical reasoning and beyond

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:07.393807Z

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Observation f8b28bf1-c0ac-4f36-805a-8d86fc864981 · outbound

This paper cites ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:07.481047Z

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Observation bb1abdb8-287c-4a71-9ec2-a779e459fed4 · outbound

This paper cites Y., Roongta, M., Cai, C., Luo, J., Li, L.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Y., Roongta, M., Cai, C., Luo, J., Li, L

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:07.569271Z

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Observation 9f0efe4a-2ac9-4b6e-b7b6-fc352bbd9358 · outbound

This paper cites OpenAI o1 System Card.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments OpenAI o1 System Card

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:07.683868Z

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Observation 500fd292-5a3c-466b-b6e0-e7e7133f8384 · outbound

This paper cites Deep research system card.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Deep research system card

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:07.806197Z

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Observation a58544e5-1854-424d-9ed9-b49781722c25 · outbound

This paper cites L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P

Reference 41

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Observation 12d60c90-3bd8-4418-8b28-8628cd7c5e9d · outbound

This paper cites Tinyzero.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Tinyzero

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:08.053532Z

Source-reported events for the cited work

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Observation 76dc2670-35e2-4c5b-b56d-266d55562eb5 · outbound

This paper cites Automatic curriculum learning for deep rl: A short survey.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Automatic curriculum learning for deep rl: A short survey

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:08.135012Z

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Observation 181a8df9-d81f-457a-96c0-fecd3eda50ff · outbound

This paper cites Qwen2.5 Technical Report.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Qwen2.5 Technical Report

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:08.255858Z

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Observation dfdb21fd-fd72-49dc-99d0-2698d935ad28 · outbound

This paper cites Qwen3 Technical Report.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Qwen3 Technical Report

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:08.418042Z

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Observation 34c31c20-9cfa-44c2-b1d6-5420b9cae465 · outbound

This paper cites M., and Littwin, E.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments M., and Littwin, E

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:08.537091Z

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Observation 5608e14a-e46e-4d74-8c30-9b628f50b09c · outbound

This paper cites D., and Arora, S.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments D., and Arora, S

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:08.623207Z

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Observation 40eaaeff-fdc9-462d-ad16-c0d6842b87f3 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:08.747991Z

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Observation 315a5eb3-8e26-4444-9d11-3368db7147eb · outbound

This paper cites Efficient Reinforcement Finetuning via Adaptive Curriculum Learning.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Efficient Reinforcement Finetuning via Adaptive Curriculum Learning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:08.872364Z

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Observation ece12c58-8a02-44be-a5bd-3f495b3650a7 · outbound

This paper cites Reasoning gym: Reasoning environments for reinforcement learning with verifiable rewards.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Reasoning gym: Reasoning environments for reinforcement learning with verifiable rewards

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:08.957659Z

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Observation cde4d9cd-cad7-49f7-9f5a-6b546170dfe9 · outbound

This paper cites A., Zettlemoyer, L., and Yu, T.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments A., Zettlemoyer, L., and Yu, T

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:09.054674Z

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Observation ff53744e-1a34-46c0-a3cf-94671faf3c08 · outbound

This paper cites OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:09.137256Z

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Observation a106d9d0-8c57-4f76-89e9-cca574c655b8 · outbound

This paper cites Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:09.253737Z

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Observation 1cd2ef87-67bb-48cf-9a7e-6e047fbd4d9b · outbound

This paper cites S., Arunkumar, A., Stap, D., Pathak, E., Karamanolakis, G., Lai, H.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments S., Arunkumar, A., Stap, D., Pathak, E., Karamanolakis, G., Lai, H

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:09.362784Z

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Observation 0f352196-bd35-47c5-9741-09d84abd32fc · outbound

This paper cites A., Khashabi, D., and Hajishirzi, H.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments A., Khashabi, D., and Hajishirzi, H

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:09.480977Z

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Unavailable: canonical work link unavailable.

Observation e2b3afbe-65f8-42f1-941a-0635d7f30ff1 · outbound

This paper cites On Memorization of Large Language Models in Logical Reasoning.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments On Memorization of Large Language Models in Logical Reasoning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:09.608509Z

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Observation fc43979e-56b5-47c1-857e-606e250eaff7 · outbound

This paper cites Your efficient rl framework secretly brings you off-policy rl training.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Your efficient rl framework secretly brings you off-policy rl training

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:09.724972Z

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Observation 32b4327d-65f7-4ff6-a194-9c1365e4c8fc · outbound

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

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:09.847499Z

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Observation c1794073-6282-49e4-814f-6ae36e646daf · outbound

This paper cites Simplerl-zoo: Investigating and taming zero reinforcement learning for open base models in the wild.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Simplerl-zoo: Investigating and taming zero reinforcement learning for open base models in the wild

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:09.963111Z

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Observation 8cd0af95-2e55-49a1-8e49-7722f2dc7d11 · outbound

This paper cites Absolute zero: Reinforced self-play reasoning with zero data.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments Absolute zero: Reinforced self-play reasoning with zero data

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:10.022415Z

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Observation ce03bf9c-b9ee-4b57-b1a2-cd0e63d90554 · outbound

This paper cites H., Cao, S., Kozyrakis, C., Stoica, I., Gonzalez, J.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments H., Cao, S., Kozyrakis, C., Stoica, I., Gonzalez, J

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:10.134897Z

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Observation 316f22f8-a7ad-42db-9f99-f2ee44fe808d · outbound

This paper cites APRIL: active partial rollouts in reinforcement learning to tame long-tail generation.

RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments APRIL: active partial rollouts in reinforcement learning to tame long-tail generation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-03T23:08:10.236337Z

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Pith citing papers

Observation 73b8833c-a07a-46ce-bdce-b308209207d5 · inbound

SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning cites this paper.

SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-09T02:06:07.704541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c38355a6-2f37-4df5-b1ea-47e7e3e27f18 · inbound

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? cites this paper.

Code2Math: Can Your Code Agent Effectively Evolve Math Problems Through Exploration? RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T19:12:23.254065Z

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Observation 1a62abc8-ae43-41e0-a18b-09106001c2f1 · inbound

Gym-V: A Unified Vision Environment System for Agentic Vision Research cites this paper.

Gym-V: A Unified Vision Environment System for Agentic Vision Research RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-09T02:06:07.704541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 54ad51cf-ae04-47f6-bc8b-ee32a8f4f506 · 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 RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-09T02:06:07.704541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d762091a-30e5-4ab7-b095-96ba5a8a2c6e · 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 RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-01T00:55:12.135512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5141a38d-f1c6-4c9f-bf84-84ca7f3dad6a · inbound

ZAYA1-8B Technical Report cites this paper.

ZAYA1-8B Technical Report RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 222

Resolution: metadata mismatch; arxiv_id, observed 2026-06-09T02:06:07.704541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 34638b7f-9db4-4b4f-a216-9f243aa5a349 · inbound

ShapeCodeBench: A Renewable Benchmark for Perception-to-Program Reconstruction of Synthetic Shape Scenes cites this paper.

ShapeCodeBench: A Renewable Benchmark for Perception-to-Program Reconstruction of Synthetic Shape Scenes RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-09T02:06:07.704541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a31563ec-0660-463c-bd50-6a643bd37c69 · inbound

Learning to Build the Environment: Self-Evolving Reasoning RL via Verifiable Environment Synthesis cites this paper.

Learning to Build the Environment: Self-Evolving Reasoning RL via Verifiable Environment Synthesis RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-06-30T21:05:04.654889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation def3f0a8-eae3-476a-8705-e4276688909e · inbound

TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL cites this paper.

TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-01T22:56:19.981261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1f8654e5-305c-46fe-9781-a682b495bb4e · inbound

EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning cites this paper.

EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic Reinforcement Learning RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:56:29.080522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c9047f27-7620-46b8-acb0-88b701d01ba7 · inbound

ZONOS2 Technical Report cites this paper.

ZONOS2 Technical Report RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 263

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T18:40:03.170224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9fafa30a-1157-4851-84e3-bfeb04c14e04 · inbound

ZONOS2 Technical Report cites this paper.

ZONOS2 Technical Report RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 263

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T18:15:59.080655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b9405cd7-b621-4d4b-aa7d-e2fa6c9684ed · inbound

DocArena: Turning Raw Documents into Controllable Training Environments for Document Search Agents cites this paper.

DocArena: Turning Raw Documents into Controllable Training Environments for Document Search Agents RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 69

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T12:53:26.544967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 55d954bc-7085-45db-83f6-904ce94409e6 · inbound

Reinforcement Learning without Ground-Truth Solutions can Improve LLMs cites this paper.

Reinforcement Learning without Ground-Truth Solutions can Improve LLMs RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 66

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T13:59:51.886210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 88541c9e-7c6b-43db-ac95-2fa12382a28d · inbound

SETA: Scaling Environments for Terminal Agents cites this paper.

SETA: Scaling Environments for Terminal Agents RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 2

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Unavailable: canonical work link unavailable.

Observation 7d008aa5-dedb-4519-bd8b-fe0a4c2c5431 · inbound

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution cites this paper.

ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 232

Resolution: unresolved; no resolver link, observed 2026-08-01T09:52:10.993520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03046ac1-6a00-4528-a8a9-70b08d86f949 · inbound

Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning cites this paper.

Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T16:49:38.226910Z

Source-reported events for the cited work

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Observation 79dbd851-04f6-4497-971d-815a2b4a0b7b · inbound

Beyond Simply Environment Scaling: Designing Effective Environment Distributions for Multimodal Agent Learning cites this paper.

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T00:49:50.113959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71867253-54ed-464c-97bb-90248c9e3e5a · inbound

SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs cites this paper.

SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-08T00:51:24.989053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 086199cf-c30f-4789-adfc-39e11916fa3d · inbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-08T12:35:01.545456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c808672-be58-4cfc-8581-9cf6198aab35 · inbound

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

Recursive Synthesis for Long-Horizon Terminal Tasks RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:42.448654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.