TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling | Paper Citation Record

Observation 82618e03-ec9b-4d8f-85ef-dc20e26b33cc · outbound

This paper cites Qwen3-VL Technical Report.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Qwen3-VL Technical Report

Reference 1

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Observation a37e8fe2-00b4-40ae-8764-3407108ea365 · outbound

This paper cites Concur: High-throughput agentic batch inference of llm via congestion-based concurrency control.arXiv preprint arXiv:2601.22705, 2026.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Concur: High-throughput agentic batch inference of llm via congestion-based concurrency control.arXiv preprint arXiv:2601.22705, 2026

Reference 2

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Observation e67f34b9-c3c0-49db-b151-0b8bdc79881e · outbound

This paper cites Fast llm post-training via decoupled and fastest-of-n speculation.arXiv preprint arXiv:2511.16193, 2025.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Fast llm post-training via decoupled and fastest-of-n speculation.arXiv preprint arXiv:2511.16193, 2025

Reference 3

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Observation a8b5541e-3e30-436d-804b-0ed94e9d8c6e · outbound

This paper cites MindSpeed RL: Distributed Dataflow for Scalable and Efficient RL Training on Ascend NPU Cluster.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling MindSpeed RL: Distributed Dataflow for Scalable and Efficient RL Training on Ascend NPU Cluster

Reference 4

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Observation 1014d932-c40f-41b3-a3a5-eb2747449483 · outbound

This paper cites AREAL: A large-scale asynchronous reinforcement learning system for language reasoning.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling AREAL: A large-scale asynchronous reinforcement learning system for language reasoning

Reference 5

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Observation f9e5f4ac-b803-4671-93e0-9a1951833aeb · outbound

This paper cites Cost-Efficient large language model serving for multi-turn conversations with CachedAtten- tion.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Cost-Efficient large language model serving for multi-turn conversations with CachedAtten- tion

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.933259Z

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Observation b7ee8ca3-fbf3-4b11-a1f5-4904ed5c6dba · outbound

This paper cites An empirical study on low gpu utilization of deep learn- ing jobs.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling An empirical study on low gpu utilization of deep learn- ing jobs

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.922155Z

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Observation 64a2742a-af11-4671-8b65-3abe89dba088 · outbound

This paper cites Better & Faster Large Language Models via Multi-token Prediction.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Better & Faster Large Language Models via Multi-token Prediction

Reference 8

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Observation d08eb4d2-3e28-4c8e-a01b-4d1e8f17dbba · outbound

This paper cites Elasticflow: An elastic server- less training platform for distributed deep learning.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Elasticflow: An elastic server- less training platform for distributed deep learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.911709Z

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

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

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

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Observation f7add97b-798b-4869-bf0e-3f8d1dbbc92c · outbound

This paper cites OpenRLHF: A ray-based easy-to-use, scal- able and high-performance RLHF framework.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling OpenRLHF: A ray-based easy-to-use, scal- able and high-performance RLHF framework

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.901581Z

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Observation 7f4d7fc5-bdbb-48ba-ade2-1c8e8caf6eeb · outbound

This paper cites Gpipe: Efficient training of giant neural networks us- ing pipeline parallelism.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Gpipe: Efficient training of giant neural networks us- ing pipeline parallelism

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.884290Z

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Observation a0b23b16-743e-47f9-ba03-65e301e64888 · outbound

This paper cites Elastic resource sharing for distributed deep learning.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Elastic resource sharing for distributed deep learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.873982Z

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Observation a127731c-6ccd-4b83-9fe7-4f108fa2508e · outbound

This paper cites Efficient memory man- agement for large language model serving with page- dattention.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Efficient memory man- agement for large language model serving with page- dattention

Reference 14

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Observation 9795f78c-8429-4813-983d-7b4c611d7077 · outbound

This paper cites Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live

Reference 15

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Observation cd8d188a-83ad-402e-abc1-9bd1375b2af0 · outbound

This paper cites Chimera: efficiently training large-scale neural networks with bidirectional pipelines.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Chimera: efficiently training large-scale neural networks with bidirectional pipelines

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.857508Z

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Observation b8330ebb-a3bd-4d2c-baae-dffef575bc18 · outbound

This paper cites Agentbench: Evaluating LLMs as agents.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Agentbench: Evaluating LLMs as agents

Reference 17

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Observation 64555e3f-ef62-45fd-abea-d08ddec23249 · outbound

This paper cites Visualagent- bench: Towards large multimodal models as visual foun- dation agents.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Visualagent- bench: Towards large multimodal models as visual foun- dation agents

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.830043Z

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Observation 1af656f2-25a5-4ceb-a0e1-8017fc5eccf9 · outbound

This paper cites Devanur, Gregory R.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Devanur, Gregory R

Reference 19

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Observation 3c909a80-9959-4b17-88db-236fd036fd39 · outbound

This paper cites Efficient large-scale language model training on gpu clusters using megatron-lm.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Efficient large-scale language model training on gpu clusters using megatron-lm

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T14:26:49.763461Z

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Observation a0f7d344-c816-407f-8eef-4c942a486574 · outbound

This paper cites Suffixdecoding: Extreme speculative decod- ing for emerging AI applications.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Suffixdecoding: Extreme speculative decod- ing for emerging AI applications

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.800449Z

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Observation 9fe08512-db9c-41ca-aaf7-fbbd12e29f30 · outbound

This paper cites Ganger, and Eric P.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Ganger, and Eric P

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.790945Z

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Observation a9f0904e-13d8-45f5-8f86-8d37bcd4faf8 · outbound

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

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning

Reference 23

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Observation 6d1a760b-1e27-4f13-bd4a-b93df838e698 · outbound

This paper cites Qwen2.5 Technical Report.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Qwen2.5 Technical Report

Reference 24

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Observation 861a0e83-9f51-4b29-8fcf-85b9b74ac108 · outbound

This paper cites Qwen3.5: Towards native multimodal agents.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Qwen3.5: Towards native multimodal agents

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.780185Z

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Observation 53d8c996-065c-4da7-8db5-6129a75ddc4c · outbound

This paper cites Transcending cost-quality tradeoff in agent serving via session-awareness.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Transcending cost-quality tradeoff in agent serving via session-awareness

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.769290Z

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Observation c38ba17c-23f2-4a81-8932-c16c12b0a77f · outbound

This paper cites Proximal Policy Optimization Algorithms.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Proximal Policy Optimization Algorithms

Reference 27

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Observation 1ac890ec-f01b-4a80-b899-49042c7a7e45 · outbound

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

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 28

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Observation 5f74ee9c-a882-4b13-8c00-8421c6d93ca1 · outbound

This paper cites Laminar: A scalable asynchronous rl post-training framework.arXiv preprint arXiv:2510.12633, 2025.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Laminar: A scalable asynchronous rl post-training framework.arXiv preprint arXiv:2510.12633, 2025

Reference 29

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Observation 94624e24-24ed-4d71-bdfe-b2df374b4163 · outbound

This paper cites Hybridflow: A flexible and efficient rlhf framework.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Hybridflow: A flexible and efficient rlhf framework

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.757694Z

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Observation ffb682cc-fc5b-4c85-ba09-3d0a18a31f57 · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.744090Z

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Observation 5362262e-2030-46a4-9b86-aba806c480f9 · outbound

This paper cites Learning to summarize with human feedback.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Learning to summarize with human feedback

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.731406Z

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Observation ffe025e8-6546-4c1c-b595-d37f1e8e413d · outbound

This paper cites ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows

Reference 33

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Observation 9027aa32-a355-45a5-8d19-83cbf2209523 · outbound

This paper cites dist_checkpointing package.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling dist_checkpointing package

Reference 34

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Observation e97b0279-a541-49bb-8d0a-ab5cc3144b80 · outbound

This paper cites Efficient llm serving for agentic workflows: A data systems per- spective.arXiv preprint arXiv:2603.16104, 2026.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Efficient llm serving for agentic workflows: A data systems per- spective.arXiv preprint arXiv:2603.16104, 2026

Reference 35

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Observation d3f8c0e2-a7c7-422a-b4db-813ce342a289 · outbound

This paper cites ByteCheckpoint: A unified checkpointing system for large foundation model development.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling ByteCheckpoint: A unified checkpointing system for large foundation model development

Reference 36

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Observation 5e194027-7fbd-4cf7-816b-ace09f840c68 · outbound

This paper cites Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Infinite Sampling: Efficient and Stable Grouped RL Training for Large Language Models

Reference 37

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Observation fc4aea15-8dc9-442b-b4b3-c4ddd4697940 · outbound

This paper cites AntMan: Dynamic scaling on GPU clus- ters for deep learning.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling AntMan: Dynamic scaling on GPU clus- ters for deep learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.695454Z

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Observation e015e9d5-e1b4-4a04-a0d7-e9bbce5dfebc · outbound

This paper cites OSWorld: Benchmarking multimodal agents for open-ended tasks in real com- puter environments.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling OSWorld: Benchmarking multimodal agents for open-ended tasks in real com- puter environments

Reference 39

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Observation 93117da0-00b7-4397-9739-f06f95b1711f · outbound

This paper cites SGLang HiCache: Fast Hierarchical KV Caching with Your Favorite Storage Backends - LMSYS Blog — lmsys.org.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling SGLang HiCache: Fast Hierarchical KV Caching with Your Favorite Storage Backends - LMSYS Blog — lmsys.org

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.670009Z

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Observation 3747fd94-750a-4ed2-ae38-8d126c5224ec · outbound

This paper cites AndroidLab: Training and systematic benchmarking of android autonomous agents.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling AndroidLab: Training and systematic benchmarking of android autonomous agents

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.657848Z

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Observation 107ab895-44ea-43d7-98e8-b3bca806d12c · outbound

This paper cites Webshop: Towards scalable real-world web interaction with grounded language agents.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Webshop: Towards scalable real-world web interaction with grounded language agents

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.644853Z

Source-reported events for the cited work

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Observation 65fcf7fe-bfcc-4e0d-a664-627b964e77df · outbound

This paper cites Orca: A distributed serving system for Transformer-Based generative mod- els.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Orca: A distributed serving system for Transformer-Based generative mod- els

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.632337Z

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Observation f0dd54f8-471a-4a31-977c-461f7e5375de · outbound

This paper cites Agentrl: Scaling agentic reinforcement learning with a multi-turn, multi-task framework.arXiv preprint arXiv:2510.04206, 2025.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Agentrl: Scaling agentic reinforcement learning with a multi-turn, multi-task framework.arXiv preprint arXiv:2510.04206, 2025

Reference 44

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Observation 1e195668-74eb-4322-b738-7028388ef865 · outbound

This paper cites Disttrain: Addressing model and data heterogeneity with disaggregated training for multimodal large lan- guage models.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Disttrain: Addressing model and data heterogeneity with disaggregated training for multimodal large lan- guage models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.619844Z

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Observation ebef55f3-8373-4db4-bffa-12f0022db6d0 · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T14:26:49.852698Z

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Observation cfbca248-5fad-47f7-bab6-7098562b483a · outbound

This paper cites Gonzalez, Clark Bar- rett, and Ying Sheng.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Gonzalez, Clark Bar- rett, and Ying Sheng

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T14:26:49.856480Z

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Observation b40f9a31-5406-48c1-9023-2c03fc277f36 · outbound

This paper cites Dist- Serve: Disaggregating prefill and decoding for goodput- optimized large language model serving.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Dist- Serve: Disaggregating prefill and decoding for goodput- optimized large language model serving

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.599746Z

Source-reported events for the cited work

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Observation 5d24dedc-1a5d-462b-aecb-c1dfdfb56e90 · outbound

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

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T14:26:49.863185Z

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Observation b8f8ec3c-5e0c-472d-ab32-fc7833d0c145 · outbound

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

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Optimizing RLHF training for large language models with stage fusion

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.586588Z

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Observation cced223d-ff58-4350-9685-1c550aa04213 · outbound

This paper cites Webarena: A realistic web environment for building autonomous agents.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Webarena: A realistic web environment for building autonomous agents

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.573456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f48ab19c-4ba3-4971-969e-1cb6f8234957 · outbound

This paper cites April: Active partial rollouts in rein- forcement learning to tame long-tail generation.arXiv preprint arXiv:2509.18521, 2025.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling April: Active partial rollouts in rein- forcement learning to tame long-tail generation.arXiv preprint arXiv:2509.18521, 2025

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T14:26:49.873925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0623726d-579b-472e-b113-fb7895237561 · outbound

This paper cites an unresolved cited work.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T14:26:49.877327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9d3c500-3dfb-4703-acc1-78e6a31f4664 · outbound

This paper cites slime: An llm post-training framework for rl 16 scaling.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling slime: An llm post-training framework for rl 16 scaling

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.541665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 334d27d8-f95e-48a6-8a89-b3d4ada1463f · outbound

This paper cites an unresolved cited work.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:26:50.529828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 063689cd-de3e-4edd-9239-d6bf33e47d5b · outbound

This paper cites Let k be the number of batches such that their arrival time a j+k−1≤T, capped by the maximum memory capacity.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Let k be the number of batches such that their arrival time a j+k−1≤T, capped by the maximum memory capacity

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.518241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 99e22228-0dc9-4c17-bb0e-ce676300afcf · outbound

This paper cites The clock updates: T←T+t swap +k·tre f.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling The clock updates: T←T+t swap +k·tre f

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.506789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a13e2b58-cff4-48a8-b09d-4e63c5ec7a77 · outbound

This paper cites The clock updates: T←T+t swap +k·(tact_f +tact_b).

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling The clock updates: T←T+t swap +k·(tact_f +tact_b)

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.495722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e0d42c79-d469-45f7-84c7-38e0ab28d0b4 · outbound

This paper cites Ccol evaluates to the final clock timeT.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Ccol evaluates to the final clock timeT

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:26:50.483590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8b0c4894-8464-4b64-932a-1a0bfb8670b7 · outbound

This paper cites an unresolved cited work.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Unresolved cited work

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T14:26:49.750519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fa814af-09eb-4619-8ccc-0596c3391f22 · outbound

This paper cites an unresolved cited work.

TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling Unresolved cited work

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T14:26:49.731420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers