Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:30.237588Z
Paper Citation Record · LEDGER
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
As of 10 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 14 inbound Pith citation observations for arXiv:2505.24034.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:19:26.241394Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
74 of 74 outbound references displayed
- verified exact0
- verified fuzzy14
- unresolved60
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 07a64a7c-f311-4425-bb11-eeedc2081e68 · outbound
This paper cites write newline.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training write newline
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:23.770147Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5de36d5c-a3cd-4aa9-90c9-651ae928d77b · outbound
This paper cites write newline.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training write newline
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:23.846339Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d22a7033-1274-48b7-8a45-d975a962a426 · outbound
This paper cites @esa (Ref.
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:23.965479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db16a862-1b80-41a8-9618-463fc606670b · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:24.134180Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ead16030-8ce3-407b-bd40-d766dac12bad · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:35.730570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 45ff0517-193d-4dfa-b1a2-c1db99266a2e · outbound
This paper cites Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:24.334354Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f59b1836-af27-4c24-b324-e07d94e6bd63 · outbound
This paper cites Claude: Training helpful and harmless ai assistants.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Claude: Training helpful and harmless ai assistants
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:35.556691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 989c91bd-78b9-4040-b10a-bb580ba78bd7 · outbound
This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:24.561905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a392faf4-81bc-4a94-be1f-07e9a06b1d61 · outbound
This paper cites Dota 2 with Large Scale Deep Reinforcement Learning.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Dota 2 with Large Scale Deep Reinforcement Learning
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:24.616677Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0217a153-b800-41d8-b2dc-6a03a2008b5f · outbound
This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:24.670104Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9eca5e5f-1329-4d86-8666-7011d054086a · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:35.436611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e5c9a32b-14a1-4940-bb45-0c8e9d9623c9 · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:35.249352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b94aa1bd-1675-437b-b240-bc9492c67b0d · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Training Verifiers to Solve Math Word Problems
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:24.928868Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11693588-6706-486d-be96-698d8782eec0 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:25.046427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5e39292-d015-48f7-834a-6d8d9c80605f · outbound
This paper cites RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:25.186917Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e708a75c-3b4d-428f-943b-9da9ad7ccb01 · outbound
This paper cites Competitive Programming with Large Reasoning Models.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Competitive Programming with Large Reasoning Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:25.443666Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b256365c-8f1c-482a-b6ee-372103d1a48e · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:35.084914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1aff602b-b69d-462f-8792-7d66865a4e5d · outbound
This paper cites RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:25.658504Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41064d76-6cec-4431-99ca-ac9028e20ae3 · outbound
This paper cites Bard: Conversational ai by google.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Bard: Conversational ai by google
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:34.891145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 73fccd74-5a99-4ea2-acf7-9c161fd76513 · outbound
This paper cites Deliberative Alignment: Reasoning Enables Safer Language Models.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Deliberative Alignment: Reasoning Enables Safer Language Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:25.860418Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f7c0837-28d7-4e25-9eba-81eca24608ef · outbound
This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Measuring Mathematical Problem Solving With the MATH Dataset
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:25.995232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2128733f-0124-4d36-8e3d-4cdc5e9d507b · outbound
This paper cites Deep Learning Scaling is Predictable, Empirically.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Deep Learning Scaling is Predictable, Empirically
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:26.107786Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e19f7d38-bb19-49ea-a33f-163005cb279f · outbound
This paper cites Training Compute-Optimal Large Language Models.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Training Compute-Optimal Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:26.228541Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59cc2812-bd55-49a7-89d5-b1bd41a21eeb · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:34.707529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c25dc515-d9e1-49fa-a8cb-a386905f912e · outbound
This paper cites OpenAI o1 System Card.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training OpenAI o1 System Card
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:26.395468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d545a37-25e9-4084-93c2-11c1aa9bb837 · outbound
This paper cites and Abbeel, P.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training and Abbeel, P
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:34.582388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 52141ded-4384-4fbb-bf54-6370bb16020e · outbound
This paper cites and Langford, J.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training and Langford, J
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:34.404114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c25ab529-3f3d-466c-8630-6f9e046841cd · outbound
This paper cites Scaling Laws for Neural Language Models.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Scaling Laws for Neural Language Models
Reference 30
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3000b53c-46e7-4d71-b723-93897e3a6536 · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:34.275455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5139bbd4-11cc-4431-be00-5e305202204e · outbound
This paper cites VinePPO: Refining Credit Assignment in RL Training of LLMs.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training VinePPO: Refining Credit Assignment in RL Training of LLMs
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:26.663718Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d97c8bf-a410-47c1-abd8-07a60b8739b7 · outbound
This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Kimi k1.5: Scaling Reinforcement Learning with LLMs
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:26.712582Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ed95391-f60b-442b-a38c-da2cd65d4524 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Adam: A Method for Stochastic Optimization
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:26.768253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85c1a2e6-39ea-4fae-a9e7-0fe0007ea9c1 · outbound
This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Tulu 3: Pushing Frontiers in Open Language Model Post-Training
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:26.809054Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation baf38e29-692f-47ad-a007-0a6dfa798140 · outbound
This paper cites G., Park, J.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training G., Park, J
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:34.179070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8d3eb950-d117-4390-b03a-00a18af5e0d2 · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:34.060963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 629e7fe6-a2ae-4098-9814-c7fc615ab6e3 · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:33.950050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b2b022ba-afae-4eea-b518-3aae00c6c6f1 · outbound
This paper cites Let's Verify Step by Step.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Let's Verify Step by Step
Reference 40
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 759d7f3d-bc02-4068-8885-51aa739c7f6e · outbound
This paper cites The Llama 3 Herd of Models.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training The Llama 3 Herd of Models
Reference 41
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ac4ad63-b16f-4bfc-9372-3147a3f164c1 · outbound
This paper cites Decoupled Weight Decay Regularization.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Decoupled Weight Decay Regularization
Reference 42
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 753d3c29-85d2-4bb2-8f2b-8768ebdde0c3 · outbound
This paper cites P., Paprocki, M., C ert\' i k, O., Kirpichev, S.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training P., Paprocki, M., C ert\' i k, O., Kirpichev, S
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:27.201064Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b625d55-d532-4228-b7c6-1d331bebadd3 · outbound
This paper cites P., Mirza, M., Graves, A., Lillicrap, T., Harley, T., Silver, D., and Kavukcuoglu, K.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training P., Mirza, M., Graves, A., Lillicrap, T., Harley, T., Silver, D., and Kavukcuoglu, K
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:33.815726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2ae4da01-07d6-4862-b8f6-c9fd40a544b0 · outbound
This paper cites I., and Stoica, I.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training I., and Stoica, I
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:33.696311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation eca310e8-d82c-44cf-aaf6-aff43d74a587 · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:33.572033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e0f34c75-af43-4eb7-afbc-39fa7ab6c496 · outbound
This paper cites B., Singh, V., Lin, M., Gimelshein, N., Desmaison, A., and Yang, E.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training B., Singh, V., Lin, M., Gimelshein, N., Desmaison, A., and Yang, E
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:33.440164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9c42c152-03f6-416f-aa9e-44c0921b7bfc · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:33.302036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e224529b-dd60-40be-972f-44b209a252f9 · outbound
This paper cites GPT-4 Technical Report.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training GPT-4 Technical Report
Reference 49
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49944a65-5e2f-4e27-9d42-68d438bdb65e · outbound
This paper cites Training language models to follow instructions with human feedback.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Training language models to follow instructions with human feedback
Reference 50
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2169cf50-ffc1-47c5-9777-6ed001b2056f · outbound
This paper cites and et al.
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:33.167654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e2749790-728d-4965-9cf0-94d6d3fc1d7c · outbound
This paper cites S., and Singh, S.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training S., and Singh, S
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:33.056767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b2f0289c-d1e7-4be0-a362-40bab67b28cf · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:32.959344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 085e1425-1e98-4dbf-82c4-9f6528c057f5 · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:32.826777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 497bfe96-31bf-49da-b6e3-5dea5b5e6a9c · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 55
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:32.650731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2dabefd9-2f45-4bb8-86fe-7f6d9ef369d8 · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:32.433370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0c3b2671-921c-4580-ba77-6cf25f206ba7 · outbound
This paper cites Proximal Policy Optimization Algorithms.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Proximal Policy Optimization Algorithms
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:28.227786Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b69a40a9-1ab4-438c-9e68-a9c91c601b4f · outbound
This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:28.335605Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84f342ad-16dc-4c18-a48c-25f7d2a1a718 · outbound
This paper cites S., Aithal, A., and Kuchaiev, O.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training S., Aithal, A., and Kuchaiev, O
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:32.250872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a682b063-6ddc-4529-8a0f-2a2c1fb2c606 · outbound
This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training HybridFlow: A Flexible and Efficient RLHF Framework
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:28.605509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d72c3d2-2a49-4dfb-8db5-d2060873a8e9 · outbound
This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:28.702500Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd313a9f-5794-4dbb-9f22-8b1be12cc3de · outbound
This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:28.836184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29d07c9a-94ee-4274-a160-df653b7a835d · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 63
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:31.985189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2591cb05-32c7-4872-831e-d37cb3368112 · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:31.792103Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 40392732-00a9-4837-8ca2-61d1d0092168 · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Gemini: A Family of Highly Capable Multimodal Models
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:29.052265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a060fd00-2d23-4b38-929f-5030ff16084f · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 66
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:31.620568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7239647a-83cb-4ef0-bb04-9746ced809ca · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:29.254014Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e9e40be-f8b0-41bc-9414-010bce4df230 · outbound
This paper cites Solving math word problems with process- and outcome-based feedback.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Solving math word problems with process- and outcome-based feedback
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:29.295485Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a39cd7e0-210c-44cd-9ec5-768f76a8034e · outbound
This paper cites M., Dudzik, A., Huang, A., Georgiev, P., Powell, R., et al.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training M., Dudzik, A., Huang, A., Georgiev, P., Powell, R., et al
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:31.458469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 81515745-7875-4b0b-8e5c-5ced99f458a4 · outbound
This paper cites Sample Efficient Actor-Critic with Experience Replay.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Sample Efficient Actor-Critic with Experience Replay
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:29.387646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f639335-f82c-48d5-a3be-fdd1be02f552 · outbound
This paper cites SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:29.562365Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bb2f068-38ab-4814-b125-249b1d0199b6 · outbound
This paper cites An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:29.683650Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0486456e-f3ee-40a1-9652-95381310eb25 · outbound
This paper cites A., Jin, D., Peng, K., Han, E., Nie, S., Zhu, C., Zhang, H., Zhou, W., Zeng, Z., He, Y., Mandyam, K., Talabzadeh, A., Khabsa, M., Cohen, G., Tian, Y., Ma, H., Wang, S., and Fang, H.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training A., Jin, D., Peng, K., Han, E., Nie, S., Zhu, C., Zhang, H., Zhou, W., Zeng, Z., He, Y., Mandyam, K., Talabzadeh, A., Khabsa, M., Cohen, G., Tian, Y., Ma, H., Wang, S., and Fang, H
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:31.278750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 46341aad-f537-46d2-8202-9159ac88dfac · outbound
This paper cites Y., Ruwase, O., Rajbhandari, S., Wu, X., Awan, A.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Y., Ruwase, O., Rajbhandari, S., Wu, X., Awan, A
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:45:31.128954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7010431b-99de-49de-b0f4-33e42bccc211 · outbound
This paper cites When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Reference 75
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:30.128496Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8648f7e9-c63d-4282-9317-11333bb0cad1 · outbound
This paper cites an unresolved cited work.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Unresolved cited work
Reference 76
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T12:45:30.901240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4944aca5-0cd3-4705-aef9-659817159aaf · outbound
This paper cites Fine-Tuning Language Models from Human Preferences.
LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training Fine-Tuning Language Models from Human Preferences
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:45:30.237588Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation e74338b5-eb36-4ba3-884a-ddd1729123f4 · inbound
Reinforcement Learning from Human Feedback cites this paper.
Reinforcement Learning from Human Feedback LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Reference 133
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T19:32:01.297713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 62aa2849-4bc7-4bce-953f-b36661f1c2ce · inbound
Magistral cites this paper.
Magistral LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:19:26.241394Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77243c07-76f2-453d-878e-2288b1fa8aa7 · inbound
Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.
Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Reference 200
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:07:43.979849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 317ba9ef-ed90-4c32-8c98-33dd0c7d27ea · inbound
HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments cites this paper.
HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T22:23:36.641772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4e20ecf2-a14a-4eec-9edc-ab8728858d75 · inbound
StaleFlow: Staleness-Aware Data Management for Mitigating Data Skewness in Fully Disaggregated RL Post-Training cites this paper.
StaleFlow: Staleness-Aware Data Management for Mitigating Data Skewness in Fully Disaggregated RL Post-Training LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:25:54.516468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee4ba978-e8d1-489f-b615-3c4137c3991b · inbound
TensorHub: Scalable and Elastic Weight Transfer for LLM RL Training cites this paper.
TensorHub: Scalable and Elastic Weight Transfer for LLM RL Training LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:11:00.631266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e6ba9bdf-05e5-4cc8-8ccf-873d988d8145 · inbound
DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training cites this paper.
DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:46:26.425646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3521626d-9bfb-47d7-924e-d54365baccd4 · inbound
When to Stop Reusing: Dynamic Gradient Gating for Sample-Efficient RLVR cites this paper.
When to Stop Reusing: Dynamic Gradient Gating for Sample-Efficient RLVR LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:33:07.364766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3ca7aa93-bd09-4601-9abd-9e0159acd6aa · inbound
Spend Your Rollouts Where It Counts: Rollout Allocation for Group-Based RL Post-Training cites this paper.
Spend Your Rollouts Where It Counts: Rollout Allocation for Group-Based RL Post-Training LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T19:53:55.792604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cda6d2b5-4d4e-4fcb-9c45-e253884a7721 · inbound
Libra: Efficient Resource Management for Agentic RL Post-Training cites this paper.
Libra: Efficient Resource Management for Agentic RL Post-Training LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:16:27.151232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1a77efd9-f915-4fbb-b87c-7876560eb8d5 · inbound
Rollout-Level Advantage-Prioritized Experience Replay for GRPO cites this paper.
Rollout-Level Advantage-Prioritized Experience Replay for GRPO LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T06:06:41.077555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9394f3ea-be4d-41d8-a70f-3022c8445dcc · inbound
AsyncWebRL: Efficient Asynchronous Reinforcement Learning for Multi-Step Visual Web Agents cites this paper.
AsyncWebRL: Efficient Asynchronous Reinforcement Learning for Multi-Step Visual Web Agents LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T11:56:55.543867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2f99b87d-9796-49cc-ab6b-9a492c5824bc · inbound
Sparrow: Sparse Rollout for Stable and Efficient Long-context RL of Large Language Models cites this paper.
Sparrow: Sparse Rollout for Stable and Efficient Long-context RL of Large Language Models LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:07:26.505309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a9cd52f0-5201-422d-9aed-8d6667281aaa · inbound
Harnessing Routing Foresight for Micro-step-level MoE load balancing in RL Post-training cites this paper.
Harnessing Routing Foresight for Micro-step-level MoE load balancing in RL Post-training LlamaRL: A Distributed Asynchronous Reinforcement Learning Framework for Efficient Large-scale LLM Training
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T12:58:08.711158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.