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Paper Citation Record · LEDGER

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models

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.

pith.paper-citation-record.v1
2607.16074 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:32:08.945951Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

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Outbound references

Observation 7ce8cbfb-3ea3-4862-a784-c002cdd0a97c · outbound

This paper cites SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills.

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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source=pdf_text observed=2026-08-01T21:32:01.677558Z digest=sha256:82fd7f812e400aa7ff99c3ecd204a153596a3bdcbbacc7f9904ece34549a5b60

Observation 4da2e99f-9ca8-427a-a938-552d5c220b33 · outbound

This paper cites Above the clouds: A berkeley view of cloud computing.

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

This paper cites Experiment tracking with weights and biases, 2020.https://www.wandb.com/.

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

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

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

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

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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source=pdf_text observed=2026-08-01T21:32:01.918887Z digest=sha256:44f27574a7b36e30c5c1378f61503ace57aebfe3338515d9d93bc99b46bea64b

Observation 78e342af-ae91-4229-bfc7-5929253b2660 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

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

This paper cites Lerobot: State-of-the-art machine learning for real-world robotics in pytorch.https://github.com/huggingface/lerobot, 2024.

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

This paper cites Punica: Multi-Tenant LoRA Serving.

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

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, 44(10-11):1684–1704, 2025.

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

This paper cites Clearml - your entire mlops stack in one open-source tool, 2024.https://clear.ml/.

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

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

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

This paper cites Queueing theory.

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

This paper cites Franklin, Joseph E.

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

This paper cites an unresolved cited work.

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

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

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

This paper cites ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills.

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

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

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

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

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

This paper cites Rlbench: Therobotlearningbenchmark & learning environment.IEEE Robotics and Automation Letters, 5(2):3019–3026, 2020.

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

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

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

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

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

This paper cites Mira murati’s stealth AI lab launches its first product.

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

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

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

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

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

This paper cites Tinker, 2026.https://thinkingmachines.ai/tinker/.

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

This paper cites SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning.

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

This paper cites VLA-RFT: Vision-language-action reinforcement fine-tuning with verified rewards in world simulators.arXiv preprint arXiv:2510.00406, 2025.

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

This paper cites Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training.

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

This paper cites AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving.

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

This paper cites Gonzalez, Michael I.

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

This paper cites LobRA: Multi-tenant fine-tuning over heterogeneous data.Proceedings of the VLDB Endowment, 18(8):2616–2625, 2025.

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

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, 36:44776– 44791, 2023.

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

This paper cites Calvin: A benchmark for language- conditioned policy learning for long-horizon robot manipulation tasks.IEEE Robotics and Automation Letters, 7(3):7327–7334, 2022.

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

This paper cites Twinkle: Trainingworkbenchtomakeyourmodelglow.https://github.com/modelscope/twinkle,.

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

This paper cites Ray: A distributed framework for emerging AI applications.

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Ray: A distributed framework for emerging AI applications

Reference 35

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source=pdf_text observed=2026-08-01T21:32:06.429096Z digest=sha256:65a502d7c9dea23a3de563b1552045127926b875e9c0805e97e373a78d9c1a7f

Observation 964ea7ef-2700-4b0f-afde-a6894a5681c4 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Octo: An Open-Source Generalist Robot Policy

Reference 36

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source=pdf_text observed=2026-08-01T21:32:06.530445Z digest=sha256:df9ce45dc4b8fb92c1373957bdd24b50a0cf1abdb09e17da4fbe403312558d10

Observation d7780acb-080d-43f3-92cf-b7f97f7771d8 · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

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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source=pdf_text observed=2026-08-01T21:32:06.663897Z digest=sha256:4728b0c0d908928eebc304ef7d60dd5d1d713a8f102d05915e40da16d8c40902

Observation f3c779f1-b1d3-48b2-a4b7-c7acd9088748 · outbound

This paper cites ZeRO: Memory optimizations toward train- ing trillion parameter models.

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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source=pdf_text observed=2026-08-01T21:32:06.755127Z digest=sha256:946aa3669afd7dcfed09ef678514e51652f736086ad1c53feff77a96e7ab2034

Observation 006a9422-02b9-4bff-92e4-5e539d18cd90 · outbound

This paper cites RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning.

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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source=pdf_text observed=2026-08-01T21:32:06.814552Z digest=sha256:35f2900f61f959fe8ece2deb45bb8592b15a4f129152e25f09470b483be52300

Observation cddd0ddb-eda5-4d33-9fc4-a81a175b1180 · outbound

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

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models HybridFlow: A Flexible and Efficient RLHF Framework

Reference 40

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source=pdf_text observed=2026-08-01T21:32:06.902268Z digest=sha256:4fc1a3d933e5f7fb08e6da3cd868718cacdf44f8147c2ea8aea8aac8c55f6805

Observation 031658a3-2f2e-4f26-8193-c42d49a93b37 · outbound

This paper cites S-LoRA: Serving Thousands of Concurrent LoRA Adapters.

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Reference 41

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source=pdf_text observed=2026-08-01T21:32:07.000543Z digest=sha256:e22529acbc8b94d72e968253dc0dd0699e55bf82b034c8f926e5ee0d5e0d0411

Observation 91c3d4f2-3d35-401f-b2a7-0f46f77d3a00 · outbound

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

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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source=pdf_text observed=2026-08-01T21:32:07.103050Z digest=sha256:abff99421eb6a50f594b6b6d95d37e86aea3f67408b2143886023cf606e042e6

Observation c43a12d6-10f6-4be2-b80b-31a175f0475c · outbound

This paper cites StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing.

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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source=pdf_text observed=2026-08-01T21:32:07.225652Z digest=sha256:5a5ba506828f842878b00e03d5e066a64ee3a9f5e78a35b740fe9ade3084e6d8

Observation b33bd218-85ac-472a-a188-7816a90fcdc1 · outbound

This paper cites Rl-vla3: A flexible and asynchronous reinforcement learning framework for vla training.

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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source=pdf_text observed=2026-08-01T21:32:07.345477Z digest=sha256:19d6a9242534f6bff9de1eb8da05b1aab5dfeebdb369c2e21508e25e187d44fe

Observation 9db289b3-dd8b-44f8-b3c7-262daa1f20dc · outbound

This paper cites Large- scale cluster management at google with borg.

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Large- scale cluster management at google with borg

Reference 45

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source=pdf_text observed=2026-08-01T21:32:07.488474Z digest=sha256:07ef3e20bce5065ac611790d674aef849516b21456d029b6cde9f372dac00847

Observation e0877e33-9bf5-4457-90d0-adb1987090c5 · outbound

This paper cites Scaling proprioceptive-visual learning with heteroge- neous pre-trained transformers.

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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source=pdf_text observed=2026-08-01T21:32:07.585417Z digest=sha256:7f5ccffa71b6af57bc8102ae8f3ee2e3751d628d80601b39dd5fd6734f5dbceb

Observation 206f3e0f-ceee-4853-a497-cef7496fb691 · outbound

This paper cites In18th USENIX Symposium on Operating Systems Design and Implementation (OSDI 24), pages 911–927, 2024.

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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source=pdf_text observed=2026-08-01T21:32:07.703247Z digest=sha256:3cf9ecf0698a90d7c3ab1c6ddb693a19dea888fa9b5af67b105fceff243261a6

Observation b5b7eb1d-f9a0-48cb-9da4-c1c052ed7136 · outbound

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

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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source=pdf_text observed=2026-08-01T21:32:07.773505Z digest=sha256:826669ec3ac93ca082933e54e91c87a369b2c6633c99abefcd648c4dba71ec55

Observation de552307-8258-44cf-9fe7-48113f0ab933 · outbound

This paper cites Rlinf: Flexible and efficient large-scale reinforcement learning via macro-to-micro flow transformation.arXiv preprint arXiv:2509.15965, 2025.

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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source=pdf_text observed=2026-08-01T21:32:07.830692Z digest=sha256:736d69b389833a9fc312c1be059964481491cac5a538501be52e8b7115d8fe95

Observation 5a6cdea9-f05a-4a65-ab48-a6ff933c0c5c · outbound

This paper cites MARLaaS: Multi-Tenant Asynchronous Reinforcement Learning as a Service.

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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source=pdf_text observed=2026-08-01T21:32:07.891524Z digest=sha256:2711b08796fbbb814c7001afd259af3c2629f2cb52304b962cfed17017e6eb7e

Observation 0551c984-9bee-4ca1-9d12-6f5c0306e078 · outbound

This paper cites Rlinf-vla: A unified and efficient framework for vla+ rl training.arXiv preprint arXiv:2510.06710, 2025.

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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source=pdf_text observed=2026-08-01T21:32:08.031721Z digest=sha256:80cf2258a1c5266c8f84a2ecbb351c580de255cbe0a8cd0c1dc145a7d23fc790

Observation 1f5a30c4-1fbb-4ec1-b056-82cdf6594b73 · outbound

This paper cites A vision-language-action-critic model for robotic real-world reinforcement learning.arXiv preprint arXiv:2509.15937, 2025.

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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source=pdf_text observed=2026-08-01T21:32:08.166138Z digest=sha256:7b303e474d988ffa2f968a27fcd2f1e53b7e6cdd0c3e3097d49687ed79cf5b6e

Observation 9f9eba81-0e82-45b2-a85a-b40383c50fe5 · outbound

This paper cites Prorl agent: Rollout-as-a-service for rl training of multi-turn llm agents.arXiv preprint arXiv:2603.18815, 2026.

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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source=pdf_text observed=2026-08-01T21:32:08.256232Z digest=sha256:248f8c59cb28ef10d1f6f9909a36603739cf5541ffe3d0145d7a83e3742d901c

Observation 9adab6e0-1b24-41f6-b313-ae8ecdca10e5 · outbound

This paper cites X-VLA: Soft- prompted transformer as scalable cross-embodiment vision-language-action model.

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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source=pdf_text observed=2026-08-01T21:32:08.348312Z digest=sha256:69a051737598a3ecfe2caf0732954bae21d0f5a913c08dfaa43375653b8bca75

Observation 42510b43-b193-4eb0-b2ab-60308ce7e359 · outbound

This paper cites Sglang: Efficient execution of structured language model programs.Advances in neural information processing systems, 37:62557–62583, 2024.

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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source=pdf_text observed=2026-08-01T21:32:08.470986Z digest=sha256:6883eb4361e313d72f74f1365fbea7f272f1679cfbbd8a3e81cbe5eaefb8e928

Observation 91d2c092-7bfc-4e20-a5a3-0b80ad0888f9 · outbound

This paper cites OpenTinker: Separating Concerns in Agentic Reinforcement Learning.

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models OpenTinker: Separating Concerns in Agentic Reinforcement Learning

Reference 56

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source=pdf_text observed=2026-08-01T21:32:08.591340Z digest=sha256:2419c433fdd0a9ec4d3ab8bb8c3f15ca43fb55ff422ac7a3417e2c6dcf182aeb

Observation ab1f98c3-fa75-4422-b9df-c665d453a663 · outbound

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

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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source=pdf_text observed=2026-08-01T21:32:08.770128Z digest=sha256:467a008b5fef9a7445eba3bff9c6286596a509d27928bf1c6340df19adb405f0

Observation a0576815-89d5-42b5-bc1c-6a3738116fdc · outbound

This paper cites rl"), domain=.

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models rl"), domain=

Reference 58

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source=pdf_text observed=2026-08-01T21:32:08.945951Z digest=sha256:7360c11163cc0db8f6ccd67e100415888a93dc0854a4465136a4c641f5f1f813

Observation 7065398f-8b45-4575-b4e8-4071aef318af · outbound

This paper cites an unresolved cited work.

JoyNexus: Service-Oriented Multi-Tenant Post-Training for VLA Models Unresolved cited work

Reference 2026

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source=pdf_text observed=2026-08-01T21:32:06.234125Z digest=sha256:0247efed87b55c75f89896ba95f9f2bc57b040d2cc37d074aec32c8b626be1c1

Pith citing papers

No inbound Pith citation observations are available.