Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T02:10:04.003151Z
Paper Citation Record · LEDGER
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models
As of 7 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 1 inbound Pith citation observation for arXiv:2604.19728.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T07:59:34.398439Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
78 of 78 outbound references displayed
- verified exact36
- verified fuzzy32
- unresolved6
- parse uncertain0
- malformed identifier1
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ea607541-9413-499d-85b3-8815c89bfc14 · outbound
This paper cites an unresolved cited work.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Unresolved cited work
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation 0fbe3b42-b226-4d74-abe7-042978b5e16d · outbound
This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T01:52:01.553388Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 28f079a4-8f65-475c-8533-f39ce61f595a · outbound
This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 3
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9dd1efbf-0e68-4447-9f05-4bb2b5418fb3 · outbound
This paper cites Qwen3-VL Technical Report.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Qwen3-VL Technical Report
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a9e21c89-a13c-4a77-b12d-b316867609e5 · outbound
This paper cites Foundation Models for Robotics: Vision-Language-Action (VLA).
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Foundation Models for Robotics: Vision-Language-Action (VLA)
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 76213249-7ab4-4db6-af80-3ddd55fe4b7c · outbound
This paper cites Significance Tests for 2×2 Tables.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Significance Tests for 2×2 Tables
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d821026d-71c4-4cde-812f-b6ba517dae05 · outbound
This paper cites PaliGemma: A versatile 3B VLM for transfer.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models PaliGemma: A versatile 3B VLM for transfer
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4c3989b4-c1a5-483f-8861-3037353f988d · outbound
This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models PIQA: Reasoning about Physical Commonsense in Natural Language
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9c6622af-bcd9-4cba-8892-a952e108816a · outbound
This paper cites 2020.url:https://github.com/webdataset/webdataset.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models 2020.url:https://github.com/webdataset/webdataset
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 13acab17-d69e-4a21-afef-c53e52d157cd · outbound
This paper cites https://github.com/huggingface/lerobot.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models https://github.com/huggingface/lerobot
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0d3419f0-c575-48a1-bb60-db89462d6476 · outbound
This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Microsoft COCO Captions: Data Collection and Evaluation Server
Reference 11
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3f477b18-1d24-451d-b1f6-d46f466ef165 · outbound
This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation ec706d37-b11e-48cc-92b1-ae883020a880 · outbound
This paper cites Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation ccd39185-3a9f-49b6-b2f0-6de84b2f7f42 · outbound
This paper cites B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions
Reference 14
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bc4ecee4-8a3f-413d-9c3f-2ddd8dfa9420 · outbound
This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 15
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3675c2c8-2123-4777-828e-b04f2c3feb5a · outbound
This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4362aebc-e716-42b8-bb85-377c90947597 · outbound
This paper cites StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
Reference 17
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5c6753e4-3d10-4b80-87d7-53a16454e1bb · outbound
This paper cites an unresolved cited work.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Unresolved cited work
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation 870cc89e-5d11-445b-8d3f-a67e005b1af5 · outbound
This paper cites an unresolved cited work.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Unresolved cited work
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation ce099ebb-fd41-459c-8e46-c331399344e3 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation 2bf5c679-0649-43de-bb65-cb6034c54482 · outbound
This paper cites Computing Extremely Accurate Quantiles Using t-Digests.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Computing Extremely Accurate Quantiles Using t-Digests
Reference 21
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 991e7bda-d5d4-44f6-bc59-db48965075ed · outbound
This paper cites https://github.com/EGalahad/vla-scratch.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models https://github.com/EGalahad/vla-scratch
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation aa642ddd-5521-465e-9a6c-762f10cff35f · outbound
This paper cites Datacomp: In search of the next generation of multimodal datasets.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Datacomp: In search of the next generation of multimodal datasets
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 7f4e4d39-b429-479e-bfcb-1fec9291fbbc · outbound
This paper cites GitHub repository.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models GitHub repository
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation b2a17e78-dd03-4e7c-bd03-79ef045c28d0 · outbound
This paper cites Measuring Massive Multitask Language Understanding.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Measuring Massive Multitask Language Understanding
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation 267f65ac-1b43-4d6f-8b8d-68edf4aacab4 · outbound
This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 6652028f-4e83-400d-befa-54fc04374327 · outbound
This paper cites Scaling Laws for Neural Language Models.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Scaling Laws for Neural Language Models
Reference 27
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3123b62c-1a60-42c4-a81f-7441fc476163 · outbound
This paper cites Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
Reference 28
- Resolution
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Source-reported events for the cited work
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Observation 3d401fb1-0db9-4d33-a6c0-3e2d3cd6482d · outbound
This paper cites 2022.url:https://github.com/karpathy/nanoGPT.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models 2022.url:https://github.com/karpathy/nanoGPT
Reference 29
- Resolution
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Observation ab335f5b-d315-4d77-bcdd-89df223d3f85 · outbound
This paper cites Should VLMs be Pre-trained with Image Data?.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Should VLMs be Pre-trained with Image Data?
Reference 30
- Resolution
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Observation 7f2f86cc-aed9-4c2c-b487-3e1348db3107 · outbound
This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models OpenVLA: An Open-Source Vision-Language-Action Model
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation df9aba8f-78a7-452d-8c4e-900914c589b9 · outbound
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VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Accessed: 2026-04-17
Reference 32
- Resolution
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Observation c0b14bd0-dd95-485b-b510-dcd6c1042149 · outbound
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VLA Foundry: A Unified Framework for Training Vision-Language-Action Models MolmoAct: Action Reasoning Models that can Reason in Space
Reference 33
- Resolution
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Source-reported events for the cited work
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Observation 0d7ea2ce-a2b3-452d-931f-b5da856b1830 · outbound
This paper cites Datacomp-lm: In search of the next generation of training sets for language models.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Datacomp-lm: In search of the next generation of training sets for language models
Reference 34
- Resolution
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Observation d6e513e0-612d-4c25-ad64-7f4ceb783114 · outbound
This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Reference 35
- Resolution
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Observation ad49dc81-b19e-4516-93cc-26705d8433dd · outbound
This paper cites A systematic study of data modalities and strategies for co-training large behavior models for robot manipulation.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models A systematic study of data modalities and strategies for co-training large behavior models for robot manipulation
Reference 36
- Resolution
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Source-reported events for the cited work
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Observation 409854ad-10ee-4259-bf1f-dfb88c4186c0 · outbound
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VLA Foundry: A Unified Framework for Training Vision-Language-Action Models HoloBrain-0 technical report
Reference 37
- Resolution
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Observation 33dc2a24-1749-458d-9c8a-785a535f3fa7 · outbound
This paper cites Flow Matching for Generative Modeling.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Flow Matching for Generative Modeling
Reference 38
- Resolution
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Source-reported events for the cited work
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Observation c17ec488-2d1c-4c80-857d-e6565dbb98ea · outbound
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VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Visual instruction tuning
Reference 39
- Resolution
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Source-reported events for the cited work
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Observation 3fceb114-49db-44b3-8a73-7bad8b49d944 · outbound
This paper cites LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b2dd82f8-3a94-4a13-b64b-b5b948ca86d8 · outbound
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VLA Foundry: A Unified Framework for Training Vision-Language-Action Models LLM360: Towards Fully Transparent Open-Source LLMs
Reference 41
- Resolution
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Observation d23fceb5-745b-4ea1-9b2d-99a0b26eac8e · outbound
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VLA Foundry: A Unified Framework for Training Vision-Language-Action Models SmolVLM: Redefining small and efficient multimodal models
Reference 42
- Resolution
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Observation 3eba369d-038c-4eb3-804d-ba2930fae3e9 · outbound
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VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Unresolved cited work
Reference 43
- Resolution
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Source-reported events for the cited work
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Observation 3d892be4-552c-49dd-bb9c-f5db7b37fc97 · outbound
This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Reference 44
- Resolution
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Observation bd462d5c-6b26-443e-9765-faaea284d324 · outbound
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VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Ray: A Distributed Framework for Emerging AI Applications
Reference 45
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 8f295ee3-0460-41eb-8701-2c3d6cc9184c · outbound
This paper cites an unresolved cited work.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Unresolved cited work
Reference 46
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1a182c20-f464-43ed-b91c-cbec9897249a · outbound
This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
Reference 47
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0590d8bb-0790-4ca6-805c-7a099cf5eda8 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models DINOv2: Learning Robust Visual Features without Supervision
Reference 48
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 43ecea01-a308-4e09-8273-83e0d2222555 · outbound
This paper cites The fineweb datasets: Decanting the web for the finest text data at scale.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models The fineweb datasets: Decanting the web for the finest text data at scale
Reference 49
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 563b84a0-e4f1-47ed-abb9-dd1190b25286 · outbound
This paper cites https://github.com/nepfaff/drake-blender-tools.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models https://github.com/nepfaff/drake-blender-tools
Reference 50
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 5ea3b885-cb35-48c8-a5ec-0c2d0e4f3d9c · outbound
This paper cites GitHub repository.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models GitHub repository
Reference 51
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a3a97002-b69d-44b5-b1a7-472819870261 · outbound
This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
Reference 52
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 79dc5373-be84-473e-ba4a-68b154ed655c · outbound
This paper cites $\pi^{*}_{0.6}$: a VLA That Learns From Experience.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models $\pi^{*}_{0.6}$: a VLA That Learns From Experience
Reference 53
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 34e953d2-8b38-4dd4-8ff2-33339b620bd0 · outbound
This paper cites An algorithm for a letter-based representation of all-pairwise comparisons.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models An algorithm for a letter-based representation of all-pairwise comparisons
Reference 54
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a1bd9aa2-04f6-416b-98ee-42c666bd7f75 · outbound
This paper cites Learning transferable visual models from natural language supervision.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Learning transferable visual models from natural language supervision
Reference 55
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2518daef-95c7-47bf-9e99-3f576caa9316 · outbound
This paper cites Manning, 2024.isbn: 978-1633437166.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Manning, 2024.isbn: 978-1633437166
Reference 56
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 82272919-f7c8-41a2-affe-8abbec3749fc · outbound
This paper cites Rasley, S.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Rasley, S
Reference 57
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7513b13e-38a7-41ea-aaa7-660737b15e44 · outbound
This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models WinoGrande: An Adversarial Winograd Schema Challenge at Scale
Reference 58
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1a17e312-15df-405a-93b2-2b60b661360f · outbound
This paper cites 2024.url:https: //github.com/ServiceNow/Fast-LLM.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models 2024.url:https: //github.com/ServiceNow/Fast-LLM
Reference 59
- Resolution
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Source-reported events for the cited work
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Observation 3eee2fd4-e2e2-49cc-a433-812ce41d7eda · outbound
This paper cites Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
Reference 60
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3564188d-df00-4ff2-b7e2-5672777733c0 · outbound
This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Reference 61
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 01dc065e-13dc-44b0-9930-15e5508da823 · outbound
This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics
Reference 62
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 106c0a77-2643-4bb3-9f47-3df54c9f5fc7 · outbound
This paper cites DINOv3.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models DINOv3
Reference 63
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4848d4c8-bc38-4298-ae1f-53eb97487984 · outbound
This paper cites Is Your Imitation Learning Policy Better Than Mine? Policy Comparison with Near-Optimal Stopping.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Is Your Imitation Learning Policy Better Than Mine? Policy Comparison with Near-Optimal Stopping
Reference 64
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 723359a7-04b9-4800-af29-a28cd10e934e · outbound
This paper cites Big little lies: A compendium and simulation of p-hacking strategies.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Big little lies: A compendium and simulation of p-hacking strategies
Reference 65
- Resolution
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Source-reported events for the cited work
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Observation 6dbafd0d-1e2d-4d47-a33d-683189868e09 · outbound
This paper cites A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation
Reference 66
- Resolution
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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0811941d-d34e-4a50-892b-ed10804ce04d · outbound
This paper cites Toyota Research Institute.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Toyota Research Institute
Reference 67
- Resolution
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Observation a982e4b2-d84c-4450-b3dc-126bfb722028 · outbound
This paper cites 2 OLMo 2 Furious.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models 2 OLMo 2 Furious
Reference 68
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation f275805c-db75-4332-80ae-f2236c1b998b · outbound
This paper cites 2019.url:https://drake.mit.edu.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models 2019.url:https://drake.mit.edu
Reference 69
- Resolution
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Observation 1d59fd8e-a717-47b5-ac00-d5c499006182 · outbound
This paper cites GitHub repository.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models GitHub repository
Reference 70
- Resolution
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Source-reported events for the cited work
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Observation 6e4cb887-27aa-4e56-834d-92344c03c98c · outbound
This paper cites an unresolved cited work.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Unresolved cited work
Reference 71
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Observation c7769bf4-f229-437e-b6d9-241d3a75ee81 · outbound
This paper cites Dexbotic: Open-source vision-language-action toolbox.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Dexbotic: Open-source vision-language-action toolbox
Reference 72
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c7c378db-cbb9-470b-a50a-f8512867cd83 · outbound
This paper cites World Action Models are Zero-shot Policies.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models World Action Models are Zero-shot Policies
Reference 73
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 894d1ed0-5869-4069-9a89-ecf8d900cdd3 · outbound
This paper cites URL https:// doi.org/10.18653/v1/p19-1472.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models URL https:// doi.org/10.18653/v1/p19-1472
Reference 74
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ac30ec90-586d-4df4-9f7a-2ce04e090ef0 · outbound
This paper cites Sigmoid loss for language image pre-training.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Sigmoid loss for language image pre-training
Reference 75
- Resolution
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Source-reported events for the cited work
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Observation 76621654-bdf7-43d0-8496-03f14b427c02 · outbound
This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
Reference 76
- Resolution
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Observation 8201eb28-43bf-456b-b6b1-5d3c83b3e5a0 · outbound
This paper cites On the Continuity of Rotation Representations in Neural Networks.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models On the Continuity of Rotation Representations in Neural Networks
Reference 77
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 60ad49a7-19f9-4b68-acc7-3070df3d44f7 · outbound
This paper cites an unresolved cited work.
VLA Foundry: A Unified Framework for Training Vision-Language-Action Models Unresolved cited work
Reference 78
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Pith citing papers
Observation b7927a69-cb4f-48f4-899d-5e17cc498f62 · inbound
EVA-Client: A Unified Data Collection, Inference, and Deployment Framework for Embodied Policies on Real Robots cites this paper.
EVA-Client: A Unified Data Collection, Inference, and Deployment Framework for Embodied Policies on Real Robots VLA Foundry: A Unified Framework for Training Vision-Language-Action Models
Reference 9
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.