Paper Citation Record · LEDGER

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

As of 22 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 28 inbound Pith citation observations for arXiv:2507.01663.

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

pith.paper-citation-record.v1
2507.01663 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:50:27.321310Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:01:18.525104Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

47 of 47 outbound references displayed

verified exact0
verified fuzzy3
unresolved44
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 46d25ce1-454e-462c-9377-3301bde54e64 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:23.371559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25fd9d1c-33a4-4ccf-a6da-17df1b42fefa · outbound

This paper cites AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:23.494922Z

Source-reported events for the cited work

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Observation f7203b3a-c107-475e-b8e1-9e0910873f3f · outbound

This paper cites The Llama 3 Herd of Models.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training The Llama 3 Herd of Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:23.607624Z

Source-reported events for the cited work

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Observation a0732c1e-7d82-46fa-9315-dafcb233f0d7 · outbound

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

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:23.665168Z

Source-reported events for the cited work

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Observation 80fb76fe-ead1-463c-8e3d-ee0f7e495574 · outbound

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

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:23.746801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a79ecafe-0d75-4b7c-950b-71108f40717d · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:50:29.912904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2ad2fbd3-3560-4f40-8ab5-1010dd2a2e52 · outbound

This paper cites Scaling Laws for Neural Language Models.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Scaling Laws for Neural Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:23.874031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f09dd7b3-549b-431f-b04a-a31ebd8d291e · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:23.957925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74e4220d-f0af-4d0e-a4be-2fe238d87203 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 674824de-c49a-4757-9637-54cbf24ba8d6 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation c8d743e4-2213-4201-9c76-e6fbe33c5ec6 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:50:29.553919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 40a3b82f-c831-48d5-905d-c10856c2bc05 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:50:29.326392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 07827dcc-bfb5-406f-a29f-092f44660d04 · outbound

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

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models

Reference 13

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Observation 5f817e66-21bc-43ab-8815-03a983158915 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:50:29.081753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b881e1ae-495a-4272-aaee-8ff7520d7b75 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ccf5a5af-748e-4608-93cd-8532bbe885d9 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 16

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Source-reported events for the cited work

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Observation 618f94f3-488e-40ad-b4b3-0aea79d23918 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0607598d-493e-46e9-9ed5-54c69a5d74ad · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:50:28.440328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1c8586b4-dbb9-4c65-acce-9ff28e26f768 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:24.864671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97cc7667-20c7-4030-b100-c3add74a8985 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:50:28.293480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d1b0e6b-801c-467e-a4ff-7864b72735d1 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:25.128106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c49c1376-9549-438b-bc4a-5a4ad49df465 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ab346954-7fe8-4b53-8eae-3d7d42dbbb68 · outbound

This paper cites Proximal Policy Optimization Algorithms.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Proximal Policy Optimization Algorithms

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:25.455913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f378172-e836-47a0-8822-e2ac5b12ffd2 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:50:27.787781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4095aa0f-07fd-428f-bc95-a0731145e58a · outbound

This paper cites Failures.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Failures

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:27.676300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf7613ef-81f8-41ae-b7c2-09a9db61ff12 · outbound

This paper cites NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment

Reference 26

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Source-reported events for the cited work

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Observation 97127d98-7e6f-4f2f-933e-0f8146da3870 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training HybridFlow: A Flexible and Efficient RLHF Framework

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0baf46b-86d1-447c-a924-7becacfb272d · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9030c992-729d-42e2-be5c-fcade351f9f6 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac918cbe-5aee-4902-899c-03e4960e1a27 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5dbac13-b58b-4ff3-93cb-5e2a8209e6d9 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:26.581911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 887a0eec-de12-4af9-a6d3-abc96c3e5988 · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:26.642772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41c3d9df-d503-4f32-8a0d-1da3ce2ad636 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Finetuned Language Models Are Zero-Shot Learners

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:26.739168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af31c308-b2e1-4a76-95c5-462a3662a1c5 · outbound

This paper cites Qwen2.5 Technical Report.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Qwen2.5 Technical Report

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31e20e14-e2d7-48c2-8f4b-62ff40c7919f · outbound

This paper cites DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:26.921368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 336620c9-d406-4233-9fa9-7ccc4be26cb2 · outbound

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

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:26.431436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1627376-5485-4466-9ac6-9fb3a0dfd156 · outbound

This paper cites A Survey of Large Language Models.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training A Survey of Large Language Models

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 306008ea-0040-4a94-9c65-d3e96f1d82dc · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d98d3fa4-f2fb-43bc-8624-4a5357486934 · outbound

This paper cites Optimizing RLHF Training for Large Language Models with Stage Fusion.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Optimizing RLHF Training for Large Language Models with Stage Fusion

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a96f4c5-531b-47c9-a19c-cab592f0391a · outbound

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AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:26.967552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaef4a1d-b396-4be5-aee8-b1ce2379af6e · outbound

This paper cites StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:27.252236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 220a39c8-4455-4acd-b1aa-286cbb58384e · outbound

This paper cites an unresolved cited work.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training Unresolved cited work

Reference 2018

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Source-reported events for the cited work

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Observation be1ed4c8-e2e9-4bbc-9526-e6114914bca0 · outbound

This paper cites In Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers).

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training In Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers)

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:30.107828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 59707ba9-4d91-484e-bee0-7255cec5581c · outbound

This paper cites In Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training In Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:28.110993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6cffe258-befd-48e2-8203-2455ada3d065 · outbound

This paper cites InProceedings of the 29th Symposium on Operating Systems Principles.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training InProceedings of the 29th Symposium on Operating Systems Principles

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:24.015891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8138910b-5d2b-4a48-a76e-c0a19af5ae47 · outbound

This paper cites DeepSeek-V3 Technical Report.

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training DeepSeek-V3 Technical Report

Reference 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97590c31-4d1f-429a-976b-89cf88ae0970 · outbound

This paper cites arXiv preprint arXiv:2504.13914 (2025).

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training arXiv preprint arXiv:2504.13914 (2025)

Reference 2025

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 472291bc-bbee-4d96-9c07-368ed5ed0133 · inbound

History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRL cites this paper.

History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRL AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 41

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Source-reported events for the cited work

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Observation 112883d0-6887-4de7-b4b7-899ef8ca68e7 · inbound

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs cites this paper.

RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 14

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Source-reported events for the cited work

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Observation e9b06d53-e5f5-4e41-9b5e-403dca8629c6 · inbound

Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning cites this paper.

Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 11

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Observation d8dc7989-1236-4404-b95e-0304c517592d · inbound

HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments cites this paper.

HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 11

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Source-reported events for the cited work

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Observation b50643ea-e6e5-4f20-be01-0a8656750e66 · 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 AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 15

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Observation aa820f69-54c1-4543-b167-7b144dec4266 · inbound

Relax: An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale cites this paper.

Relax: An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:16:03.252155Z

Source-reported events for the cited work

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Observation 142c572d-7691-4260-bd9b-efbdd2b314eb · 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 AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:26.399814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 02b03954-e67d-4f80-adf2-bf1dac632cf3 · inbound

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL cites this paper.

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:31:16.373227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e5ed996a-e8b6-4c17-a9f2-f131e885f42d · inbound

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL cites this paper.

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:39:53.267980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7fd5f89f-ebde-480c-a3f4-259cb86ab766 · inbound

MinT: Managed Infrastructure for Training and Serving Millions of LLMs cites this paper.

MinT: Managed Infrastructure for Training and Serving Millions of LLMs AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:27:51.833929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 07f10be1-22ce-4888-9fc8-dde4daa2ccfe · inbound

MinT: Managed Infrastructure for Training and Serving Millions of LLMs cites this paper.

MinT: Managed Infrastructure for Training and Serving Millions of LLMs AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T14:15:47.696815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5140c882-4a16-4283-816c-bda3d05ccc19 · inbound

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs cites this paper.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.849930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5fb59008-1636-4372-8235-f9d306f9a9b2 · inbound

How Off-Policy Can GRPO Be? Mu-GRPO for Efficient LLM Reinforcement Learning cites this paper.

How Off-Policy Can GRPO Be? Mu-GRPO for Efficient LLM Reinforcement Learning AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:43:19.691995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe86fbfa-8b18-45b9-8d92-33878cb828f3 · inbound

ReCrit: Transition-Aware Reinforcement Learning for Scientific Critic Reasoning cites this paper.

ReCrit: Transition-Aware Reinforcement Learning for Scientific Critic Reasoning AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:53:49.316129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e9395cb-3585-40f2-b4a6-27a8ef09b296 · inbound

DARTS: Distribution-Aware Active Rollout Trajectory Shaping for Accelerating LLM Reinforcement Learning cites this paper.

DARTS: Distribution-Aware Active Rollout Trajectory Shaping for Accelerating LLM Reinforcement Learning AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:42:50.076818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fbe8a96f-2990-4848-a2b2-9f89cd11061f · inbound

Libra: Efficient Resource Management for Agentic RL Post-Training cites this paper.

Libra: Efficient Resource Management for Agentic RL Post-Training AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:16:27.236287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5eadce32-87bd-4b68-8033-954ea52c09eb · inbound

Rollout-Level Advantage-Prioritized Experience Replay for GRPO cites this paper.

Rollout-Level Advantage-Prioritized Experience Replay for GRPO AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:41.103700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 70f1faaf-3161-4540-b063-df5709732fff · 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 AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T11:56:55.539212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 734f7b0c-1948-4dbc-9cd5-a481f9d412b5 · 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 AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:08:07.825413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0d02a00d-56ed-4e2c-b7fe-a080d8207836 · inbound

RolloutPipe: Overlapping Pipelined Rollout and Training in Disaggregated On-Policy LLM Reinforcement Learning cites this paper.

RolloutPipe: Overlapping Pipelined Rollout and Training in Disaggregated On-Policy LLM Reinforcement Learning AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T14:39:58.206846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c8d59ed5-d847-4c63-880f-f18e47cd6fab · inbound

RolloutPipe: Overlapping Pipelined Rollout and Training in Disaggregated On-Policy LLM Reinforcement Learning cites this paper.

RolloutPipe: Overlapping Pipelined Rollout and Training in Disaggregated On-Policy LLM Reinforcement Learning AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T11:52:35.159984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5877e01e-d11e-4464-b7a4-a984069db35e · inbound

Xiaomi-GUI-0 Technical Report cites this paper.

Xiaomi-GUI-0 Technical Report AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:55:40.366622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0db74f64-680d-48b0-b7fe-65a4b2be6f17 · inbound

Xiaomi-GUI-0 Technical Report cites this paper.

Xiaomi-GUI-0 Technical Report AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T19:47:18.967406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26631df4-64db-4f0d-b912-66c3a50368e8 · inbound

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents cites this paper.

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:40.588456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 17173bbf-93a2-485d-9c69-c7d3c3888201 · inbound

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents cites this paper.

Next-Generation Agentic Reinforcement Learning Systems Enable Self-Evolving Agents AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:48:49.549581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ecca540d-4d77-4e58-825e-2fe83203497b · inbound

QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization cites this paper.

QLPO: Quadrant-weighted Sampling for Length-aware Policy Optimization AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T06:48:17.927596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a7c890-de8e-43d3-bd39-5f0139bbfee1 · inbound

DynaResize: Runtime GPU Reallocation for Disaggregated LLM Post-Training cites this paper.

DynaResize: Runtime GPU Reallocation for Disaggregated LLM Post-Training AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T11:13:59.835182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bc8be89-b6cb-45ef-a78c-efe4d2c526b1 · inbound

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling cites this paper.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T14:26:49.724333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.