Pith. sign in

Paper Citation Record · LEDGER

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

As of 23 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 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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

  • verified exact0
  • verified fuzzy0
  • unresolved59
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:01.677558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:01.677558Z digest=sha256:bcef281acbec40845e731105c48b1ca4d8e5a9b92b6ec538b156ea74333169e9

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:01.754141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:01.754141Z digest=sha256:f18fcac8b0d0bd14f0441520bb5d8fb149ef95b9b235cf83a9838f813bbd0b80

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:01.814049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:01.814049Z digest=sha256:a921fe817cfc734c9c00d456cbccbd3653d86f266cdcbe7273c8ba8067509fc1

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:01.868043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:01.868043Z digest=sha256:5ef97b0c0dec74ed505bb050cf855ee1b219cb66ad812d297b735867abd47128

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:01.918887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:01.918887Z digest=sha256:8c672627748628a6eee100ee9df04f040d17d75c6814607bf22f8565fdd92820

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:01.992948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:01.992948Z digest=sha256:c988ae29b8301f18fa537f893aad3a3708c4a9de82a7892aff9453dd82f0de08

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:02.068302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:02.068302Z digest=sha256:1ddb03a9619443917da908469d2947b4de754ce79660b5984ce62a9d74ea82a8

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:02.166979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:02.166979Z digest=sha256:c852d5f441213fc45a9a9ef950424d0058652060d2c99c9341a2e031807303d5

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:02.361359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:02.361359Z digest=sha256:00439d20ce5595d87b9bdfb994769dc66cfdbc0d06ba2dbd8ba7d80cdf0ad046

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:02.390634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:02.390634Z digest=sha256:6abfe554563c6c8eaceb7998a6218c4025dc43f9c2a84762c23e5eda035cf359

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:02.473074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:02.473074Z digest=sha256:685b6333b9bf7be8e0d4021682ad89080b5f2d189290b72420bcf366489de444

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:02.600327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:02.600327Z digest=sha256:f939e739b31b7b54df3274c5c395cbb58ef68fb1db408e03951eca80aaf39e3a

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:02.772947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:02.772947Z digest=sha256:b6949f806a3b4540a127e4783e16d5b32ffffd640199af8b2c8345db89af136e

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:02.851153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:02.851153Z digest=sha256:e75bfa221af81c9a03a655375ee6aef1fb8a3e8a61d81c75f04f285d44c844ec

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:02.928644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:02.928644Z digest=sha256:fa8f665c5a33275fcbd13475b6f3b012f91ca30d65cc3ecabd186891c5305750

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:03.057903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:03.057903Z digest=sha256:438bc6bea7bfde56aae196647d85a15f3733566cb3ea4a057879bbda2ddb1602

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:03.161304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:03.161304Z digest=sha256:af1c3d6ce6e8d24e539f30d2022dc176517423df5a8146a85ba09dd6eb23c116

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:03.244552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:03.244552Z digest=sha256:261728b8434adee5d1a857e24dab758bba9c39ddafcf00fcff7ad56151c6e815

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:03.435726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:03.435726Z digest=sha256:8413edd584e6ee107d0dc8a6a57912dd3ffde11bb24da6c7b80bd099f00851c0

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:03.522921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:03.522921Z digest=sha256:0773e042d85c2802d7ba8682f0979650d895cf29fbd51ca3a569d10b32286ec3

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:03.600018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:03.600018Z digest=sha256:86fe389fbe521314b764a2334e15caea55dad9e032ff8441fe4723ee1db94b8d

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:03.825419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:03.825419Z digest=sha256:18e45cc82f6c3b857626e7c5a23c47a94db364c66188c0c45f112739e8ca1902

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:04.014621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:04.014621Z digest=sha256:be43e91fa76f81e84ab60c9fcdda60172e06bde64e023c21300070bf34f7b898

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:04.139639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:04.139639Z digest=sha256:169aaecf47e3bda7a2d74e5dca71ca397791973c4386bfd89f8dc8e0e3a296f1

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:04.224857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:04.224857Z digest=sha256:e6e1b6a9d92126ddde1b3a308ad88bc575628cad36f7935d8ddeb3a01b5606f1

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:04.419142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:04.419142Z digest=sha256:d8fd7117c5f9cce8490e0e85130688056060431f0c27d7c68721e87c5e6dc1f8

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:04.756284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:04.756284Z digest=sha256:a1fe78cf7fe28231fb5c2e726bb0921861b4f370f3487d1a93a8cb93fa33616e

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:05.021220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:05.021220Z digest=sha256:f5e5e76dfaa1f6623a3f7acc41b28c5a925407899b2bf83a86dff8fec5b9da29

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:05.224834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:05.224834Z digest=sha256:6d641421d69387da487458d6cbe9ce6cde0620c88cc1a21a8fa53f19bc7b8bfb

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:05.384887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:05.384887Z digest=sha256:ff6aedd08992228eb2ac527d1dff7617f79c0682095eacfc175c65a363554ed7

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:05.653131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:05.653131Z digest=sha256:c617a621ae3442edc999297c716e804f9ec46e34d89e72d73eddd127216f352c

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:05.729878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:05.729878Z digest=sha256:15e3b981bccc6695013a8dd5cde1143f8a53da279f83c4d9a662b23762ece9e0

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:05.872938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:05.872938Z digest=sha256:86b5a7a4bb3f1797f747c90e5c8208cdd01cacee611585efb4c0397a864ac9c8

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:06.038118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:06.038118Z digest=sha256:e94ddf2a94802b11bb5848f7a997b740375c788b4d9566210d937aa960b134bf

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:06.429096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:06.429096Z digest=sha256:b0f76ebd03cce8973a3d552c47171ef612e893a54275f6e150e481d1fd0e9953

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:06.530445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:06.530445Z digest=sha256:1c2cbd4d980226e4e65a47072c55f2909c0ab318f5a7ed923450f56cede90f12

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:06.663897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:06.663897Z digest=sha256:73d3b80971c46c25336f4791e69b9adbdac9c35a62a99898bf72410f88802961

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:06.755127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:06.755127Z digest=sha256:7fe1d0f042e85bff90459a2ba96c78d494c3ac8db5da55d950f70f87612e909e

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:06.814552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:06.814552Z digest=sha256:532cf3bf641b145fd40745ea6e1653e6b6a629fcc83aae092b46ce55db4d7964

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:06.902268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:06.902268Z digest=sha256:941121748d7cee411bbb0b47d464b5702c6af31f356fc09375b171d8efc76ad3

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:07.000543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:07.000543Z digest=sha256:3340785ddda7abe3f1232913dae9d50dd639ac9c48713a8932cbff22de881d9b

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:07.103050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:07.103050Z digest=sha256:8172994fdf63f654a47c906b454a210cb95e7c110f93af21116d49bdf43efd7b

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:07.225652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:07.225652Z digest=sha256:b904b10f05f1fd2efdb30cfd0811f67af6516185935a112d7de73e5ca8f88d2e

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:07.345477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:07.345477Z digest=sha256:f8216964b642bc704cdcc6c51561d92eb3c5630aa261a9d1b496b33ee642763d

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:07.488474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:07.488474Z digest=sha256:0cfa07510bdbcd804a32813e7435626a822a5ef1d91e0ae5cf68175d0db4dd81

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:07.585417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:07.585417Z digest=sha256:53678c9f4fac64fd63a36dcf4b6e5a6c134d527add76b4e98738849b863a3c51

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:07.703247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:07.703247Z digest=sha256:65516c62be2de7a2de6f739dff3a83a9e14a41992af69f44c576d4ee0951dd94

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:07.773505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:07.773505Z digest=sha256:cb52d7c39a6a194abb64d05e6e1ec0240923500b06920b261b2c149c7b70c46b

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:07.830692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:07.830692Z digest=sha256:ed0ebe07d5818489e71c2c64f6e765ec8c60ab8fcb92931ecd7e4c50f096c986

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:07.891524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:07.891524Z digest=sha256:ce52796405c3d4520333c6a99ca56a36e5cd45f4dfc7cecbd7a777e86a603522

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:08.031721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:08.031721Z digest=sha256:f6e1b259845daab735f6dfd035094e584854a7a39ec7191c1cef2277153128e3

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:08.166138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:08.166138Z digest=sha256:c13f92df974f3be0a031ae963295f0679319006430934e9cfa818dfde661064a

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:08.256232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:08.256232Z digest=sha256:3792871a0e909039654bd3c422df8852ce57c965f57febdbc649b433f1d5c83e

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:08.348312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:08.348312Z digest=sha256:9fcf82134322b4448a6e9f0f3bafa7b293ae8727dbdcb165c7cad7f79753f9a1

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:08.470986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:08.470986Z digest=sha256:046d1968d2e8f52bcb980acd557b68379ce55de7b2e35d40fd1b0e8646e37bdf

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:08.591340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:08.591340Z digest=sha256:52c9a24b3ebd29700016ef6ae4f1a0c9197116280538f055333aed33f6c2b41c

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:08.770128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:08.770128Z digest=sha256:06c4cdef0e5e2c2a4f61c55b43d7bbe1bae796ad617cfaed0222b2b768f8d43a

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:08.945951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:08.945951Z digest=sha256:f26c2d0dc7caa40714a69ec3f8b3fd3f4b3adb23997d15c5cfe1a5429efc8a5d

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

Resolution
unresolved
no resolver link, observed 2026-08-01T21:32:06.234125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T21:32:06.234125Z digest=sha256:c1440cb43d1cded5b17fe71de8c6ab06f8d4c4f09f0eb224760972c4bb985532

Pith citing papers

No inbound Pith citation observations are available.