Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T21:32:08.945951Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2607.16074.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T21:32:08.945951Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
59 of 59 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 7ce8cbfb-3ea3-4862-a784-c002cdd0a97c · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
Reference 1
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Observation 4da2e99f-9ca8-427a-a938-552d5c220b33 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Above the clouds: A berkeley view of cloud computing
Reference 2
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Observation 26ddc609-75f4-46e5-a470-2614ef540013 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Experiment tracking with weights and biases, 2020.https://www.wandb.com/
Reference 3
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Observation 36a36e5b-5ce6-4b26-ac05-7c146c1ed6df · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
Reference 4
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Observation 85c414a3-04da-450e-b627-af249e5f0d7c · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
Reference 5
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Observation 78e342af-ae91-4229-bfc7-5929253b2660 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models RT-1: Robotics Transformer for Real-World Control at Scale
Reference 6
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Observation e49abda8-bdd1-46f9-8c7a-2d1ca5783fd9 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Lerobot: State-of-the-art machine learning for real-world robotics in pytorch.https://github.com/huggingface/lerobot, 2024
Reference 7
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Observation 91d080f2-4e66-450f-94f5-e508032395b8 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Punica: Multi-Tenant LoRA Serving
Reference 8
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Observation 5e9e758e-0dfb-4ace-9f4c-c1330119d6c1 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, 44(10-11):1684–1704, 2025
Reference 9
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Observation 24874ac7-0a87-4d5b-b2f3-d9bf099192f1 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Clearml - your entire mlops stack in one open-source tool, 2024.https://clear.ml/
Reference 10
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Observation 0e0cbcdd-cab6-4b7a-adf8-2a79aacbd96a · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Relax: An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale
Reference 11
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Observation d1c662e5-f7a6-4f5c-9c4c-76dfb5fa7f3b · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Queueing theory
Reference 12
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Observation d94b4d62-7ce4-48d5-85ce-5af79eabcaa9 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Franklin, Joseph E
Reference 13
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Observation 89be151b-0b96-41ee-9f68-16632544e64d · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Unresolved cited work
Reference 14
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Observation 317b812c-665c-44f4-99c3-4cb08658d456 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models AReaL: A large-scale asynchronous reinforcement learning system for language reasoning
Reference 15
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Observation 0d2cc415-7ee3-4355-af4e-9e45861a1b92 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Reference 16
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Observation 2c9b9cde-94ee-4313-9574-1b812b93cf74 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
Reference 17
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Observation c36d298a-1d05-49e1-8d36-80537ff14654 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
Reference 18
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Observation 2389a19c-bd0b-458a-9823-a39ba2efff88 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Rlbench: Therobotlearningbenchmark & learning environment.IEEE Robotics and Automation Letters, 5(2):3019–3026, 2020
Reference 19
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Observation cf1cd3e3-5b07-401c-b589-c42ff229da18 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models OpenVLA: An Open-Source Vision-Language-Action Model
Reference 20
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Observation 807a08fe-f3e8-4af1-ab06-aad965b44209 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success
Reference 21
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Observation 80cd4a37-ceed-4cb8-a166-56a19a83adc3 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Mira murati’s stealth AI lab launches its first product
Reference 22
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Observation e95f20d7-fbed-462a-9db5-77ddee93322b · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Gonzalez, Hao Zhang, and Ion Stoica
Reference 23
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Observation 72af155f-da62-4b38-a210-c83e387af58d · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models MinT: Managed Infrastructure for Training and Serving Millions of LLMs
Reference 24
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Observation 3d6541ce-9b39-4a79-a782-979e14c1cf32 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Tinker, 2026.https://thinkingmachines.ai/tinker/
Reference 25
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Observation 25b61151-34d3-4db2-a9e5-68ec7e2a60d6 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
Reference 26
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Observation c28c4a70-19d4-43cb-91b9-fb431bf2c7c4 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models VLA-RFT: Vision-language-action reinforcement fine-tuning with verified rewards in world simulators.arXiv preprint arXiv:2510.00406, 2025
Reference 27
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Observation e84c5cb8-a6c7-49e3-9d31-036f1cb256b5 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training
Reference 28
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Observation ed9fba44-79e8-4625-86af-c2d5820fd7b2 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving
Reference 29
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Observation 046170aa-63d8-47c0-b16d-93d5dcd0b7c9 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Gonzalez, Michael I
Reference 30
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Observation e69ef87c-9bd5-4b40-99aa-7879b4b17d08 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models LobRA: Multi-tenant fine-tuning over heterogeneous data.Proceedings of the VLDB Endowment, 18(8):2616–2625, 2025
Reference 31
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Observation 7400e0f0-d789-4b52-beb1-0e36a80f9f89 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Libero: Benchmarking knowledge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, 36:44776– 44791, 2023
Reference 32
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Observation 4a9dc0c4-5035-41eb-b01e-9f5e84aed86d · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Calvin: A benchmark for language- conditioned policy learning for long-horizon robot manipulation tasks.IEEE Robotics and Automation Letters, 7(3):7327–7334, 2022
Reference 33
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Observation 2cb8e699-6f0b-4c79-925a-1d4c9313452f · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Twinkle: Trainingworkbenchtomakeyourmodelglow.https://github.com/modelscope/twinkle,
Reference 34
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Observation 431a4fd2-6403-40aa-b845-c242cdf17b22 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Ray: A distributed framework for emerging AI applications
Reference 35
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Observation 964ea7ef-2700-4b0f-afde-a6894a5681c4 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Octo: An Open-Source Generalist Robot Policy
Reference 36
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Observation d7780acb-080d-43f3-92cf-b7f97f7771d8 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 37
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Observation f3c779f1-b1d3-48b2-a4b7-c7acd9088748 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models ZeRO: Memory optimizations toward train- ing trillion parameter models
Reference 38
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Observation 006a9422-02b9-4bff-92e4-5e539d18cd90 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning
Reference 39
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Observation cddd0ddb-eda5-4d33-9fc4-a81a175b1180 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models HybridFlow: A Flexible and Efficient RLHF Framework
Reference 40
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Observation 031658a3-2f2e-4f26-8193-c42d49a93b37 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models S-LoRA: Serving Thousands of Concurrent LoRA Adapters
Reference 41
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Observation 91c3d4f2-3d35-401f-b2a7-0f46f77d3a00 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Reference 42
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Observation c43a12d6-10f6-4be2-b80b-31a175f0475c · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
Reference 43
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Observation b33bd218-85ac-472a-a188-7816a90fcdc1 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Rl-vla3: A flexible and asynchronous reinforcement learning framework for vla training
Reference 44
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Observation 9db289b3-dd8b-44f8-b3c7-262daa1f20dc · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Large- scale cluster management at google with borg
Reference 45
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Observation e0877e33-9bf5-4457-90d0-adb1987090c5 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Scaling proprioceptive-visual learning with heteroge- neous pre-trained transformers
Reference 46
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Observation 206f3e0f-ceee-4853-a497-cef7496fb691 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models In18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 24), pages 911–927, 2024
Reference 47
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Observation b5b7eb1d-f9a0-48cb-9da4-c1c052ed7136 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales
Reference 48
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Observation de552307-8258-44cf-9fe7-48113f0ab933 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Rlinf: Flexible and efficient large-scale reinforcement learning via macro-to-micro flow transformation.arXiv preprint arXiv:2509.15965, 2025
Reference 49
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Observation 5a6cdea9-f05a-4a65-ab48-a6ff933c0c5c · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models MARLaaS: Multi-Tenant Asynchronous Reinforcement Learning as a Service
Reference 50
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Observation 0551c984-9bee-4ca1-9d12-6f5c0306e078 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Rlinf-vla: A unified and efficient framework for vla+ rl training.arXiv preprint arXiv:2510.06710, 2025
Reference 51
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Observation 1f5a30c4-1fbb-4ec1-b056-82cdf6594b73 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models A vision-language-action-critic model for robotic real-world reinforcement learning.arXiv preprint arXiv:2509.15937, 2025
Reference 52
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Observation 9f9eba81-0e82-45b2-a85a-b40383c50fe5 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Prorl agent: Rollout-as-a-service for rl training of multi-turn llm agents.arXiv preprint arXiv:2603.18815, 2026
Reference 53
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Observation 9adab6e0-1b24-41f6-b313-ae8ecdca10e5 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models X-VLA: Soft- prompted transformer as scalable cross-embodiment vision-language-action model
Reference 54
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Observation 42510b43-b193-4eb0-b2ab-60308ce7e359 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Sglang: Efficient execution of structured language model programs.Advances in neural information processing systems, 37:62557–62583, 2024
Reference 55
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Observation 91d2c092-7bfc-4e20-a5a3-0b80ad0888f9 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models OpenTinker: Separating Concerns in Agentic Reinforcement Learning
Reference 56
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Observation ab1f98c3-fa75-4422-b9df-c665d453a663 · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models slime: An llm post-training framework for rl scaling
Reference 57
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Observation a0576815-89d5-42b5-bc1c-6a3738116fdc · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models rl"), domain=
Reference 58
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Observation 7065398f-8b45-4575-b4e8-4071aef318af · outbound
JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Unresolved cited work
Reference 2026
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No inbound Pith citation observations are available.