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Paper Citation Record · LEDGER

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

As of 12 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 26 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 73 of 73 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 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:25:47.686864Z

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:23.371559Z digest=sha256:e14ae7df972f5b14d79dfda30a7bc9fb46db2c2454cfe1a2427ed89a9276e872

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:23.494922Z digest=sha256:4b50be82a70cbb63a3fab43fa42f31e22f5a392cf66c629e2bdb2193c95990b2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:23.607624Z digest=sha256:af74cf09308a6f3042e57cea33d8d971709d09c741f97ce15650f250575a881f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:23.665168Z digest=sha256:ac3ebacad4fe2620892331113b773b211ca6b15a8ae25206f924851bb25b2a6e

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:23.746801Z digest=sha256:c16c3ae17841d0ff917fcef1ac5f64ec1185475e6ff06fc796495f296e477900

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:50:23.792867Z digest=sha256:59c4743c01cb33d876728bf2e969175f93ced7844538dc5a25707af59f4e9c99

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

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source=pdf_text observed=2026-08-06T20:50:23.874031Z digest=sha256:b652f318fd86fd51f8324a58e66686958d9a7958d3fc6193268a7655b13562f6

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:23.957925Z digest=sha256:746ff143318c71cecd42a25d108f5d197140529eeae3c5b114496be96b739b73

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.

source=pdf_text observed=2026-08-06T20:50:24.065421Z digest=sha256:0659f7b1233c1bcae67aa8ae42c625b71cc72e750f80f6f4aaa0b63832596488

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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raw_fallback, observed 2026-08-06T20:50:29.714425Z

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.

source=pdf_text observed=2026-08-06T20:50:24.156477Z digest=sha256:34ea1666ecde00140e5e90b8bdc90ef533a809100a7555bee03e2fd71d1cd24e

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

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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.

source=pdf_text observed=2026-08-06T20:50:24.218086Z digest=sha256:7b61eed70d47219ced83c65a10c283d1864cca412fd08469cbc3161b36f1e43d

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

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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.

source=pdf_text observed=2026-08-06T20:50:24.278951Z digest=sha256:12acde844c61dbb8b5e2f9fce949c10d62ba01fa52439e8d4a1b9e3da799e552

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:24.360887Z digest=sha256:aa78502e0827637a8c6cd78fc3c051d1ac74d1354bfa70ce28449d7ad1d2d4df

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:50:24.447740Z digest=sha256:0943117f04817e926a9196340e148494debfc8acfc570b81310b2bd5ddd275e4

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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raw_fallback, observed 2026-08-06T20:50:28.837815Z

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.

source=pdf_text observed=2026-08-06T20:50:24.516808Z digest=sha256:7335d3d959b3ad5d4a938f943e9b7fbf83b0ed8fd12d6acf5199c7051763cfeb

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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raw_fallback, observed 2026-08-06T20:50:28.651324Z

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.

source=pdf_text observed=2026-08-06T20:50:24.620637Z digest=sha256:824b6b09edac40e35dc984a1e5aae26492885a5b254abf5f2e6f9371495254ea

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.

source=pdf_text observed=2026-08-06T20:50:24.688080Z digest=sha256:f6653e0cdfbf17dcb687a8dff4f8d523166405d9689d038a24ba7d629a72b908

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:50:24.786808Z digest=sha256:f4dbd89083f31223876c3ff1a4693a33ecf5b17fe06302eee4c19be13b5d646d

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:24.864671Z digest=sha256:08c748d87e981ab8fd2980046a724d99d5d667e530c11efb8c928bb2a7d823c2

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:50:25.072760Z digest=sha256:b16442110e5570c8aaeddf417f5e4af79f219270d659c18f7b3b6c9474861c62

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:25.128106Z digest=sha256:c20e978025f6960a1403a3be1aadf4786d699ff0a923466d8233776942035a3b

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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raw_fallback, observed 2026-08-06T20:50:27.961261Z

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.

source=pdf_text observed=2026-08-06T20:50:25.339509Z digest=sha256:e2f329848c54d783182b51a9bb61ee4f5a844ee02645005ec81de02c450d4412

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

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source=pdf_text observed=2026-08-06T20:50:25.455913Z digest=sha256:0eec34c4af9a79f397b2def4ac77da206a3bdacb4109bd4d701a1c424fc0eff5

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:50:25.569447Z digest=sha256:c1d287bc39f2821609c962206e0c6c7cd030e5faab30d48d456e0ca36c0eea18

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

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verified fuzzy
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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.

source=pdf_text observed=2026-08-06T20:50:25.798723Z digest=sha256:ef8b760464474296f134f6b4f0fa2ce76b4a94d38177188b8c4b6dbd0be24566

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:25.927351Z digest=sha256:8acae03c2d65c7d532f85e22683bdfb7aa6fc3fa76db03eb5d8d01d4d13ffa3a

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:26.079285Z digest=sha256:d9b1d345dd5d7961d44e8b4e9b24b22930f67513a97a8107b6cf41ef72b28425

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:26.227947Z digest=sha256:b38a1b5bc83648c59a5edfd8c43a7b4b633cb0005bd4aa636c3164acb57bc6b0

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:26.305620Z digest=sha256:0e71546ea45d893a9d42b706333426b82ab9b312c7a4deeb17a23f8a91a57591

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:26.511769Z digest=sha256:81a5150cb939aca0d96c861c691168d5c271f238f0ec7083a769438dc24a414d

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:26.581911Z digest=sha256:fafdc6418c48132aeb13339baaf6ac6962995cec419d761bf76698f11d410329

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:26.642772Z digest=sha256:399342b131d6884bfef4246753eeda5de38ad2d84234851ba9db67ca578b4141

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:26.739168Z digest=sha256:48604e6f20808bfb0dcdb4d2a721c509b3f3c218bb743e52b5d52f3e659b7dee

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.

source=pdf_text observed=2026-08-06T20:50:26.860137Z digest=sha256:cea1c59df50bb347c5da1f719deac7d711c43eee901f23b7750d26d3528a4bf6

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:26.921368Z digest=sha256:2d45d28261c00955abc127d1848bcd69563de6f3099dbf4a3a4e4d119297751d

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:26.431436Z digest=sha256:8b30546870d6a2245a8e4c3e5e2af0867a3745d0024253e21d526c1f29c3b60b

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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no resolver link, observed 2026-08-06T20:50:27.077348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:27.077348Z digest=sha256:1aa36359871756b15ae7af1c4a287a1ac3a92b5007fb7715798781e889e81b7e

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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no resolver link, observed 2026-08-06T20:50:27.175348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:27.175348Z digest=sha256:14f372f3c22f20845c35cc141253d380e8f25ad07ae5c12ca1b2f701605b0981

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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no resolver link, observed 2026-08-06T20:50:27.321310Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:27.321310Z digest=sha256:afd0d64ee70224c38bb1d99b2e8162bb810270a005e5c06a1fdea7d868bbd434

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

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

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

Reference 43

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:26.967552Z digest=sha256:a49c16d783d4ead32c576ae042ac8613633892a24b06d48a0ee44316722bc595

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:27.252236Z digest=sha256:deb3189c50adb40bc0997abf09b4f23c2cca02b53335deee8b663e6283798b10

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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no resolver link, observed 2026-08-06T20:50:24.942956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:24.942956Z digest=sha256:459a1476c8d642a148d17be04b781615df4aebd8ab40912e4abf817513334251

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:50:23.433779Z digest=sha256:9f9b7ad34dd7552761eab8b22c80c5e6b96b8315e531a1b84ec1529372e81482

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T20:50:25.208410Z digest=sha256:bbe88a257902fdd1d9b64caeb211502853372a3e9d17da57c76eed33550807de

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:24.015891Z digest=sha256:568aa44430ab6edde18b1d6c8061f56217ef3890ae8f25c25d1cd0a82d780325

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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no resolver link, observed 2026-08-06T20:50:24.102771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:24.102771Z digest=sha256:37fd197add351689bf7621d3c4fca20c85adc28143d2099137da1809ea9c3da4

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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no resolver link, observed 2026-08-06T20:50:25.679520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:50:25.679520Z digest=sha256:e797664b315ff7b879fd472da2d3d0f90e7d6e4f2370ef2b189923c83fd25739

Pith citing papers

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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verified exact
arxiv_id, observed 2026-05-18T05:30:55.233504Z

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.

source=pdf_text observed=2026-05-18T05:29:46.136115Z digest=sha256:bf0c1625f3177e1bbc6e7e4c21e8aa6a1393edca52b5b27bdfd3c30d41b46c75

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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verified exact
arxiv_id, observed 2026-05-17T20:40:14.617800Z

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.

source=pdf_text observed=2026-05-17T20:38:30.169363Z digest=sha256:6c85831e5cda8f4d8df02028eef3bb654c97b2490c8621e96a5a1b16d11b2c3d

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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verified exact
arxiv_id, observed 2026-05-16T22:23:36.609296Z

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.

source=arxiv_source observed=2026-05-16T22:21:26.271796Z digest=sha256:5bea812f101c362b963fd3eab04ff71ee708aa540b5d6658a64fa77dabe477b9

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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no resolver link, observed 2026-08-04T06:25:47.686864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:25:47.686864Z digest=sha256:0a63afc6f606552beabae583b5337053b83580ba40db255c22f18ef9753ab502

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

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

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.

source=pdf_text observed=2026-05-10T16:07:52.017037Z digest=sha256:7a3edc4154895e93da9556d975737bf68f53dba53ee1e2b4683ad2fa04efae20

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-07T13:49:26.560459Z digest=sha256:6379808e9b073340c4d0665c1f58856dd59804483fefb2d43907be46b26c4c73

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T05:14:14.168753Z digest=sha256:df254deb6a0cdf19e2ed57d1c4c4202f27efba5eec09151d69976a2389e2cf8f

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-21T08:39:31.911497Z digest=sha256:7dea309fc4492bf4de7d0ba4e2b99c30b9f53279867a4497dc455da879e1a435

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-14T19:25:12.407148Z digest=sha256:79a078913a3ff9df4f5316255bfce0a19ef1d8391ceada7302346476b5b91923

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T21:47:00.295144Z digest=sha256:92bdf38c34cf02e0b359787ac1f9a6a34fadb9be4870edd5685b2c53a5589751

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T20:10:32.300423Z digest=sha256:514ee9b507b0d135387f6fefb41c336bb31ff2302b0d354fc9468dff49ad9728

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T13:38:45.835754Z digest=sha256:b5a96e509db50d6ae4bf6df7cb85e3a241a75fd44e58ee51771bd00cb424ef35

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T22:51:56.666980Z digest=sha256:8f80a23b335c14e46057fb445e631a6a7c0e4b5d013b1bd2d3d731cd9ed46670

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T23:25:30.618655Z digest=sha256:798ad7a4f8aca3b18e1aef3b1744725ea6c57b0457fbfb9d0a9e7777e4078890

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T11:02:00.385932Z digest=sha256:a7c828e48e0bc2810a62dbd74a2a1cede3b945c64f6ec05af72570ca4bb988d1

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

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-28T07:43:21.284574Z digest=sha256:eebe2a11be919509bae2668ec14896a1fc658097882d41c19df5431075bb1126

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

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-28T02:45:25.694378Z digest=sha256:9e9b71dbeaff7bedbc7699c1ac1b0cc6ad6a56217eb624615c4f025ff8fe1089

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T08:35:16.435272Z digest=sha256:1b8be731076e3b4ce09b87427a086a6ef0bb71755745f030403fad19700879f4

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T02:56:47.102678Z digest=sha256:292f91b8c4822a62c871b9c238af3c957bfa85012862c1003b43e5cd79bf2f55

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.

source=pdf_text observed=2026-07-12T11:52:35.159984Z digest=sha256:a2b1a1424a6b30412099664ab24f76d5aa19955a76e0b118826fd9a78d1f25af

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-01T06:07:48.137351Z digest=sha256:77c8b8c4cf47cfdddd81bed214334330bfea5c61159680ee31dee53351dbe046

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-02T19:37:49.661596Z digest=sha256:d6d090ee5fa2e2b2fdb40ef1a5447a84743bb999242e83eb10969e9e0a6d4df9

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

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-02T05:58:39.107614Z digest=sha256:14412efdbc2839d2e0d8437f1091ec8af60af320ab347c1ceb67065aff1057f5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-03T18:47:46.719344Z digest=sha256:1ff35c908708c2384fe475203bd0f2fb299b9574cb08d0ffd2c6880104f49cbe

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.

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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

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