AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs | Paper Citation Record

Observation e5ac3e37-e40a-49d5-95be-b33b108e4b03 · outbound

This paper cites arXiv preprint arXiv:2511.16108(2025).

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs arXiv preprint arXiv:2511.16108(2025)

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.816406Z

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Observation 64a59955-792c-4894-8561-9c2230e39d4a · outbound

This paper cites Why Do Multi-Agent LLM Systems Fail?.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Why Do Multi-Agent LLM Systems Fail?

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.821503Z

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Observation 21b2c46e-5089-4ddb-afaa-704d575f4f6e · outbound

This paper cites MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems , author=.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems , author=

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.840692Z

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Observation 6156e740-7730-4aaf-b7d0-6935a859492c · outbound

This paper cites Frontier rl is cheaper than you think.https://fireworks.ai/blog/frontier-rl-is-cheaper-than-you-think , March 2026.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Frontier rl is cheaper than you think.https://fireworks.ai/blog/frontier-rl-is-cheaper-than-you-think , March 2026

Reference 4

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Observation 83b5152c-cd27-45c1-90b1-7541046ec6ff · outbound

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

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.758614Z

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Observation cc460b16-ab70-4c03-8ca0-427c5b8225b2 · outbound

This paper cites Beyond ten turns: Unlocking long-horizon agentic search with large-scale asynchronous rl.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Beyond ten turns: Unlocking long-horizon agentic search with large-scale asynchronous rl

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.812045Z

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Observation 2f9e8ab8-1dd4-49fa-a234-e81503f366ec · outbound

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

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.793215Z

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Observation 968fb06a-b677-4af5-9dc9-75ea096ead2a · outbound

This paper cites LLM Multi-Agent Systems: Challenges and Open Problems.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs LLM Multi-Agent Systems: Challenges and Open Problems

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.797792Z

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

This paper cites AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training.

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

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Observation 69499fa6-ac48-494e-8c0b-ac469511e626 · outbound

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

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs History Rhymes: Accelerating LLM Reinforcement Learning with RhymeRL

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.860135Z

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Observation 62d2a544-9f76-4179-a953-6367120a43cd · outbound

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

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.801716Z

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Observation 9046c92b-22ca-4f4f-a040-2679e90e6c4d · outbound

This paper cites Art: Agent reinforcement trainer.https://github.com/openpipe/art.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Art: Agent reinforcement trainer.https://github.com/openpipe/art

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:13:44.826771Z

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Observation 810f253f-aad9-4d69-bf90-4eca9a565b99 · outbound

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

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.798594Z

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Observation 3fef6357-5d32-41eb-a601-f2c997b7c9b8 · outbound

This paper cites Prime-rl.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Prime-rl

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:13:44.819615Z

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Observation 0059c9ed-692a-4e1b-9034-1108bcf710a8 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.711778Z

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Observation 6bb570e2-8c71-432d-a870-14b40df9836e · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.718261Z

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Observation 11430c34-f4b3-4ac8-a656-fa7690e67b00 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.737537Z

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Observation 3c225aa8-a2dd-4d7e-b057-297c8f30a4dc · outbound

This paper cites Computerrl: Scaling end-to-end online reinforcement learning for computer use agents.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Computerrl: Scaling end-to-end online reinforcement learning for computer use agents

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.871508Z

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Observation e36dea94-3082-4d10-88d6-ee702e8fd02b · outbound

This paper cites Deepcoder: A fully open-source 14b coder at o3-mini level.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Deepcoder: A fully open-source 14b coder at o3-mini level

Reference 19

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Observation c508ca35-1289-498d-95ae-0e8577b480b4 · outbound

This paper cites Deepscaler: Surpassing o1-preview with a 1.5b model by scaling rl.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Deepscaler: Surpassing o1-preview with a 1.5b model by scaling rl

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:13:44.813510Z

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Observation 62b51473-9f4e-44f7-93fa-3a1685713e0c · outbound

This paper cites ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs ReaL: Efficient RLHF Training of Large Language Models with Parameter Reallocation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.884991Z

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Observation 19336e7b-b9c9-482b-9bd4-ac708c7ee35a · outbound

This paper cites Real: Efficient rlhf training of large language models with parameter reallocation.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Real: Efficient rlhf training of large language models with parameter reallocation

Reference 22

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Observation 1a6ddd1f-f4ff-4e66-9639-4b98d2145ec3 · outbound

This paper cites Understanding and Exploiting Weight Update Sparsity for Communication-Efficient Distributed RL.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Understanding and Exploiting Weight Update Sparsity for Communication-Efficient Distributed RL

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.730105Z

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Observation f0aac165-e892-4322-beda-7603a055b7f8 · outbound

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

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.696571Z

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Observation 83b30e56-ffc8-40d7-b135-5d8b6f2970b1 · outbound

This paper cites Training language models to follow instructions with human feedback.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Training language models to follow instructions with human feedback

Reference 25

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Observation 20260cb5-267c-4991-ba5f-5b8eb6c00367 · outbound

This paper cites Proximal Policy Optimization Algorithms.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Proximal Policy Optimization Algorithms

Reference 26

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Observation 1801ca8e-c178-4c98-996e-213fbce79f34 · outbound

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

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.773103Z

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Observation f275f9a5-465a-4df6-90d9-fb8f31b817b3 · outbound

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

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.733269Z

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Observation bc652e75-f322-4d52-9d89-accc02eeafa4 · outbound

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

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs HybridFlow: A Flexible and Efficient RLHF Framework

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.788293Z

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Observation c5855360-b852-4146-a87f-bdbf1630bfc7 · outbound

This paper cites Improving data efficiency for llm reinforcement fine-tuning through difficulty-targeted online data selection and rollout replay.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Improving data efficiency for llm reinforcement fine-tuning through difficulty-targeted online data selection and rollout replay

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:13:44.823009Z

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Observation abce3304-3ba0-4a1c-bc56-d1841b7bd503 · outbound

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

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.767751Z

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Observation 1e8cabbe-a2bd-4812-be4f-c4ce7ea66b79 · outbound

This paper cites Marti-mars2: Scaling multi-agent self-search via reinforcement learning for code generation.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Marti-mars2: Scaling multi-agent self-search via reinforcement learning for code generation

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.748091Z

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Observation 6efcf597-9f36-4c42-a2b2-993d3c4866ac · outbound

This paper cites Rlanything: Forge environment, policy, and reward model in completely dynamic rl system.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Rlanything: Forge environment, policy, and reward model in completely dynamic rl system

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.835972Z

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Observation e54ac121-514a-4c13-9bb0-2a88f1b536e7 · outbound

This paper cites SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.865329Z

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Observation 591e94f5-fa5c-4e94-ad96-9e2b90393888 · outbound

This paper cites Autogen: Enabling next-gen llm applications via multi-agent conversations.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Autogen: Enabling next-gen llm applications via multi-agent conversations

Reference 35

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Observation d4c13c69-fe25-43b0-a6fd-5dc55bdb2550 · outbound

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

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs RLBoost: Harvesting Preemptible Resources for Cost-Efficient Reinforcement Learning on LLMs

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.876213Z

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Observation baca4235-a3ab-4962-b775-976bd4d23c9f · outbound

This paper cites Less: selecting influential data for targeted instruction tuning.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Less: selecting influential data for targeted instruction tuning

Reference 37

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Observation f0910be4-e456-42bb-8fd2-ea4a3144cab1 · outbound

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

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.844864Z

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Observation b9495583-66d6-4193-92ef-947a9c18d515 · outbound

This paper cites Areal-hex: Accommodating asynchronous rl training over heterogeneous gpus.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Areal-hex: Accommodating asynchronous rl training over heterogeneous gpus

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.831396Z

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Observation 7959dc1c-335d-4f0f-b6f6-a2b6ee583d59 · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.826382Z

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Observation 04a651c2-4e2f-422b-8f0f-a6280f66e224 · outbound

This paper cites Qwen3 Technical Report.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Qwen3 Technical Report

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.854447Z

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Observation b90d3184-8539-48d4-9d1e-b5469aae3006 · outbound

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

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.880509Z

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Observation d207b28e-0eb3-451d-b031-739af31a52ac · outbound

This paper cites VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.806981Z

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Observation 276b815a-5661-4bb8-8f3f-9010f045d6fc · outbound

This paper cites Agentrl: Scaling agentic reinforcement learning with a multi-turn, multi-task framework.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Agentrl: Scaling agentic reinforcement learning with a multi-turn, multi-task framework

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.793461Z

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Observation fa48a93b-bf3d-4aec-8f05-28af6dfba6da · outbound

This paper cites Stronger-mas: Multi-agent reinforcement learning for collaborative llms.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Stronger-mas: Multi-agent reinforcement learning for collaborative llms

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.803157Z

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Observation ff5148d9-995c-4f9a-b5b5-c0c504056ea1 · outbound

This paper cites Group Sequence Policy Optimization.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Group Sequence Policy Optimization

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:13:43.783001Z

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Observation 72467af6-8d03-4f29-8f8f-1424b2767578 · outbound

This paper cites Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:13:43.788110Z

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Observation a1073676-9eb1-49cd-a3d0-2c0b44902166 · outbound

This paper cites Prosperity before collapse: How far can off-policy rl reach with stale data on llms? InICLR.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Prosperity before collapse: How far can off-policy rl reach with stale data on llms? InICLR

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:13:44.848514Z

Source-reported events for the cited work

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

Observation 2727de08-137d-4805-96ef-5bd097032a20 · outbound

This paper cites Deepresearcher: Scaling deep research via reinforcement learning in real-world environments.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Deepresearcher: Scaling deep research via reinforcement learning in real-world environments

Reference 49

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Observation d060c8be-386b-4cbb-be5f-fad2cb4be93d · outbound

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

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:13:43.778925Z

Source-reported events for the cited work

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

Observation e6ca8ac4-376e-4d69-8f72-b591ed56edbf · outbound

This paper cites Optimizing {RLHF} training for large language models with stage fusion.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Optimizing {RLHF} training for large language models with stage fusion

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:13:59.182924Z

Source-reported events for the cited work

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

Observation f129269a-ebc8-4592-b110-51497ffb580c · outbound

This paper cites Let’s think step by step . . . \boxed{}.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Let’s think step by step . . . \boxed{}

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:13:44.842356Z

Source-reported events for the cited work

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

Observation 97000aee-cd75-4152-b2b0-26c0963fba8e · outbound

This paper cites Any actions except provided available actions will be regarded as illegal.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Any actions except provided available actions will be regarded as illegal

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:13:44.834814Z

Source-reported events for the cited work

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

Observation ec4340f9-926c-4185-8846-9b8ccddb3085 · outbound

This paper cites an unresolved cited work.

AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:13:44.769678Z

Source-reported events for the cited work

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

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Outbound references

Pith citing papers