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Paper Citation Record · LEDGER

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies

As of 12 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 3 inbound Pith citation observations for arXiv:2606.06491.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.06491 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:17:09.473142Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T22:11:44.933463Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T21:00:09.861752Z

Reference resolution

61 of 61 outbound references displayed

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  • verified fuzzy0
  • unresolved61
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  • malformed identifier0
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Outbound references

Observation a4abae44-d9dc-45a9-936a-62ce0b335cb3 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 1

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source=pdf_text observed=2026-08-02T12:17:08.910697Z digest=sha256:3795154a253aa224c8e4a404e038d5eeb962cdde37f8166b0b7327f947976d3e

Observation a8e16c0e-2d54-46e0-9277-f753fb879227 · outbound

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

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies OpenVLA: An Open-Source Vision-Language-Action Model

Reference 2

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source=pdf_text observed=2026-08-02T12:17:09.006954Z digest=sha256:5d3655931eb8adacbd474cb0e59f08612c51a1067594f349d51963f8abe4f957

Observation 41038dcb-d46c-4b6f-9d4f-cf514a30e2e9 · outbound

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

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 3

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source=pdf_text observed=2026-08-02T12:17:09.115024Z digest=sha256:b984e3f7a4a172e794fee792e724ce39f9f1cc4f740bb6df25079420a372969c

Observation 8f60dadd-8cee-4770-9316-5d1f715c134c · outbound

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

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 4

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source=pdf_text observed=2026-08-02T12:17:09.233393Z digest=sha256:f488f6c8e0c5747045d268d552ce723711bb807a760a31997c015b93f50fc419

Observation f560f064-e539-4ced-a933-f68d18c14bdc · outbound

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

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Octo: An Open-Source Generalist Robot Policy

Reference 5

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source=pdf_text observed=2026-08-02T12:17:09.281045Z digest=sha256:610caac4047bcd12eaee2dd535f756bea550ba875a775b74c3edc93f60aa3e91

Observation e021d169-e421-45e3-a6c2-ab80272bbba2 · outbound

This paper cites an unresolved cited work.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Unresolved cited work

Reference 6

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Observation b8941ab7-77ba-407a-9fac-606ec2cf9f40 · outbound

This paper cites TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation

Reference 7

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source=pdf_text observed=2026-08-02T12:17:09.289300Z digest=sha256:2e1e2ddc9f8ceec0b2faf6aac330656204c9052c0cff4d57448cb0e03186df76

Observation 9f91fcdb-218c-4e91-9331-9c575a4932a5 · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 8

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source=pdf_text observed=2026-08-02T12:17:09.293003Z digest=sha256:bd9c209cc0158b1dae11dc5c2bdaf009160c605b1b5f6daa74f0c259b7854c17

Observation 99897dc2-d26b-4804-b5bb-6887768d813a · outbound

This paper cites EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 9

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Observation 1b88cc64-644c-466a-a2ec-b77caf6dfe87 · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 10

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Observation a8e457c2-4b75-441c-80c7-83b7924145ff · outbound

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

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 11

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Observation 9440b441-8645-4b6f-b29b-a05e6e854623 · outbound

This paper cites Real-Time Execution of Action Chunking Flow Policies.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Real-Time Execution of Action Chunking Flow Policies

Reference 12

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Observation b49a46ab-ef29-4e94-b746-b4dbb1db7b8d · outbound

This paper cites Learning Native Continuation for Action Chunking Flow Policies.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Learning Native Continuation for Action Chunking Flow Policies

Reference 13

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Observation 0d32b777-db7c-44a7-8858-e48bc7c68e3e · outbound

This paper cites an unresolved cited work.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Unresolved cited work

Reference 14

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Observation 2ae9e9dc-f574-4894-b4f9-cb50f5acae31 · outbound

This paper cites an unresolved cited work.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Unresolved cited work

Reference 15

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Observation f3694867-a38e-4509-a6ea-95ec9217056c · outbound

This paper cites an unresolved cited work.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-02T12:17:09.319732Z digest=sha256:d3b3257b29727a7dc7079a3d01327c26de9a3cf9eb9bc693bb1aacd7d0ab9b95

Observation 5fb364ff-2a46-44fc-943a-02f040aed1f7 · outbound

This paper cites Fast-dVLA: Accelerating Discrete Diffusion VLA to Real-Time Performance.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Fast-dVLA: Accelerating Discrete Diffusion VLA to Real-Time Performance

Reference 17

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source=pdf_text observed=2026-08-02T12:17:09.323563Z digest=sha256:2354dcdee8d9300abb65253202b8da776bbcaf9bc59f3effaf0caf115daf60e3

Observation e0ad80d6-03bd-486a-b578-beb5979f78ff · outbound

This paper cites Proleptic Temporal Ensemble for Improving the Speed of Robot Tasks Generated by Imitation Learning.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Proleptic Temporal Ensemble for Improving the Speed of Robot Tasks Generated by Imitation Learning

Reference 18

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Observation 5e3e3ca4-bc7d-4d0b-bb66-2f88516a9a09 · outbound

This paper cites an unresolved cited work.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Unresolved cited work

Reference 19

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Observation 6ae20fcf-bcb1-47c0-9ef7-73ed0f6f00ba · outbound

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

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies RT-1: Robotics Transformer for Real-World Control at Scale

Reference 20

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Observation cdc98a7c-8a4d-4da5-9f7a-269cc2dde502 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies PaLM-E: An Embodied Multimodal Language Model

Reference 21

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source=pdf_text observed=2026-08-02T12:17:09.336409Z digest=sha256:7cb2a1eede45337e8811f0f46942de00eae8df69f1e69533f3c09f0defec54d8

Observation 3dc51200-c9f2-413f-8a87-55a5f5da7931 · outbound

This paper cites VIMA: General Robot Manipulation with Multimodal Prompts.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies VIMA: General Robot Manipulation with Multimodal Prompts

Reference 22

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source=pdf_text observed=2026-08-02T12:17:09.340070Z digest=sha256:1a82aca80be127ff3e36e20b8e8329649740c524895dacfc9f615725024405a0

Observation 302da2d7-1482-4fc6-b5bc-a92026effb46 · outbound

This paper cites A Generalist Agent.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies A Generalist Agent

Reference 23

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source=pdf_text observed=2026-08-02T12:17:09.343828Z digest=sha256:8e44312c8b5dbfd3ff32414eee626ee136257328e42cd1d7520466c8e4568f3e

Observation 5df08d29-d431-45bc-8ee6-8af5b5c04e60 · outbound

This paper cites BAKU: An Efficient Transformer for Multi-Task Policy Learning.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies BAKU: An Efficient Transformer for Multi-Task Policy Learning

Reference 24

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source=pdf_text observed=2026-08-02T12:17:09.347507Z digest=sha256:db143d445d18083e9a3aff281b3ced7b3a7d69ae68da10927669725a07da191a

Observation 065d3755-8d7c-4daa-9448-15a7cd8314c5 · outbound

This paper cites RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation

Reference 25

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source=pdf_text observed=2026-08-02T12:17:09.351012Z digest=sha256:205b36e0639511e0e9299403a3bbbdf82bddae3ae21c7fcb2151aaa75e6680ad

Observation c5f03691-54d6-4dee-a2c7-8f5830f3f92b · outbound

This paper cites SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model

Reference 26

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source=pdf_text observed=2026-08-02T12:17:09.354073Z digest=sha256:f21aed51551cf69d9011338a200091b4efa122404ad9f4c3d2b4a91a85373c6d

Observation 3f593424-15bd-4a15-b4d3-ddb1766866a9 · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 27

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source=pdf_text observed=2026-08-02T12:17:09.358024Z digest=sha256:8ba683dae8b810d295344aaedfcd8cd8c41297072b66a9edf7e4e7873deb1830

Observation 4beadd08-03b9-48a8-8956-f67b23ac9b3c · outbound

This paper cites GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies GraspVLA: a Grasping Foundation Model Pre-trained on Billion-scale Synthetic Action Data

Reference 28

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source=pdf_text observed=2026-08-02T12:17:09.361587Z digest=sha256:1aba49308ad0a92e6090fc53714f91a156ca7e06918baac589a1a92542d7e7a8

Observation 9c41f296-1534-44a1-b4c8-9573c5c4de20 · outbound

This paper cites DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge

Reference 29

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Observation 1f7a4c4a-31e4-46f6-9401-ce9a00ccd9a6 · outbound

This paper cites GR-3 Technical Report.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies GR-3 Technical Report

Reference 30

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source=pdf_text observed=2026-08-02T12:17:09.368177Z digest=sha256:47f823a631296e21459bde85f3864b42643aff07049548090cee585df1383c71

Observation 0495c715-6243-40b4-a721-4069844b3307 · outbound

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

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 31

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source=pdf_text observed=2026-08-02T12:17:09.371479Z digest=sha256:79f8742425f4462f08657c7593b13c5a060a1ad6b43541858f8f55c772cdf187

Observation a797346c-8c56-4d7e-9527-f0c21650c2f3 · outbound

This paper cites UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 32

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Observation 9d64a1ea-cc01-4fac-9513-6ba2d13b4c2f · outbound

This paper cites X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Reference 33

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Observation 9dee57a7-0c35-4a39-86e7-696d1200e477 · outbound

This paper cites an unresolved cited work.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Unresolved cited work

Reference 34

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source=pdf_text observed=2026-08-02T12:17:09.381942Z digest=sha256:40615145eae09056565d6fc0bf27c7a97d710235512645898f949aa97d944da0

Observation 74131f60-2f2c-4aa9-ad83-132151bc7711 · outbound

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

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

Reference 35

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source=pdf_text observed=2026-08-02T12:17:09.385525Z digest=sha256:6d6d16e2aba92937f6992586c4dfebae03931909b00ac6b99ffa530de6550d5f

Observation 2209a340-2331-4e7f-95b7-97196d80c9a0 · outbound

This paper cites Mixture of Horizons in Action Chunking.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Mixture of Horizons in Action Chunking

Reference 36

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source=pdf_text observed=2026-08-02T12:17:09.389487Z digest=sha256:be57f8fcf9392b880e7703554abf2f4dc65960e73b6ea40e3806e1d38b0e2f46

Observation db70c79b-a9bf-4671-83bb-8efab937aa55 · outbound

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

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 37

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Observation d1e7101c-68a4-4145-b0f3-7c9bb2e624b4 · outbound

This paper cites DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Reference 38

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Observation 091c780f-e4cf-4183-83de-ecbec7d808f2 · outbound

This paper cites Walke, K.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Walke, K

Reference 39

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source=pdf_text observed=2026-08-02T12:17:09.400324Z digest=sha256:a011f273457d20e8aab0893a70ac8083c6737cb5d56b190c7e63a860e265d695

Observation ca7eaa8b-9757-439b-9dcb-1a4c748d4e41 · outbound

This paper cites an unresolved cited work.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Unresolved cited work

Reference 40

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source=pdf_text observed=2026-08-02T12:17:09.403011Z digest=sha256:7d0f248661d514887cef4d7b319cfd64f7baad2e6989445e0cea5510f9ee9790

Observation 501ca900-b7c2-4cb8-88ff-85e68ec8a944 · outbound

This paper cites What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Reference 41

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source=pdf_text observed=2026-08-02T12:17:09.406198Z digest=sha256:c8c8cfbcbd02f53f4e8a520b6674f0a7508166c8b570d03408e134291a395136

Observation 1082bd9f-37ca-48c7-a777-7e6b73a0ec9f · outbound

This paper cites an unresolved cited work.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-02T12:17:09.410166Z digest=sha256:d341202701576e5842339ba67c9d0027fef9bb2985c38ffb74110c5240c9a1b7

Observation 169f0f5a-9b15-488a-839a-80c9232e579d · outbound

This paper cites Mandlekar, S.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Mandlekar, S

Reference 43

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source=pdf_text observed=2026-08-02T12:17:09.413582Z digest=sha256:a9608084d9fc9f0e498f29666bcabf571094b88c2fbc1500a917081e7e77e8cc

Observation 322a2301-a96b-4aa2-8553-718266d196ec · outbound

This paper cites Dasari, F.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Dasari, F

Reference 44

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source=pdf_text observed=2026-08-02T12:17:09.417140Z digest=sha256:db4351baf7d57bbf96d7b4d0a7e2afce8443071205b9862d28985b8868123376

Observation df314f4e-5f2c-4ab5-a2c1-3e61f592a571 · outbound

This paper cites RLBench: The Robot Learning Benchmark & Learning Environment.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies RLBench: The Robot Learning Benchmark & Learning Environment

Reference 45

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source=pdf_text observed=2026-08-02T12:17:09.420240Z digest=sha256:12c39eff422dbe0853a21a817a37d3b48c5d4f322fc3bde555c8bf99d6d23d1e

Observation 35059fe4-ff25-45ad-9ca4-5543ece8d0b2 · outbound

This paper cites Nasiriany, S.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Nasiriany, S

Reference 46

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source=pdf_text observed=2026-08-02T12:17:09.424094Z digest=sha256:4a62fc6d8c6b794dc84b09e867751593e0547e6332db230326f0ef95df554bd8

Observation d285f6e4-47c6-4d18-a268-2978ba12da0d · outbound

This paper cites AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 47

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source=pdf_text observed=2026-08-02T12:17:09.426918Z digest=sha256:4583ecd4ba43daf252ca83f0c3f01a081dbfca37b36118653ab0d0462d6e46bd

Observation 3d7f3d31-30e1-48f0-a526-c5f365d53481 · outbound

This paper cites an unresolved cited work.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Unresolved cited work

Reference 48

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source=pdf_text observed=2026-08-02T12:17:09.430128Z digest=sha256:f5a64056bfdc6055ccfca26e093b93bf197f675b3a5cd26961158025a0f2a6b9

Observation fa704825-c07c-4844-95a1-14d68d22ffdf · outbound

This paper cites an unresolved cited work.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-02T12:17:09.433679Z digest=sha256:39cbb1a84991fd0c40d64d0ac823fca1ddec299c29421e6cd7ee0943f692bd8d

Observation 7c0baa2a-f126-4e03-b663-b08796880c34 · outbound

This paper cites ALOHA Unleashed: A Simple Recipe for Robot Dexterity.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies ALOHA Unleashed: A Simple Recipe for Robot Dexterity

Reference 50

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source=pdf_text observed=2026-08-02T12:17:09.436948Z digest=sha256:0a7c487245b815e39e1942d7bdef9cfdacd2f6bbdb9c6e3b1ae9bccd46701521

Observation 66d96e08-d828-4e6b-a92e-5a3970997b4a · outbound

This paper cites DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies DemoSpeedup: Accelerating Visuomotor Policies via Entropy-Guided Demonstration Acceleration

Reference 51

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source=pdf_text observed=2026-08-02T12:17:09.439753Z digest=sha256:a20c14c527fd84c6ba8c093b4cbba0de83955d7a2a94d64bbf909e5f685423be

Observation 2457771b-3812-46e2-b4bc-0ee3ca5a50a3 · outbound

This paper cites SpeedAug: Policy Acceleration via Tempo-Enriched Policy and RL Fine-Tuning.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies SpeedAug: Policy Acceleration via Tempo-Enriched Policy and RL Fine-Tuning

Reference 52

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source=pdf_text observed=2026-08-02T12:17:09.442952Z digest=sha256:22c785ab78c9cc5340e65739bd447581f7c9ab8161df6ddae8c2af2ffbbec466

Observation a41eb2ec-ed2e-47ed-9925-21d943e20753 · outbound

This paper cites ESPADA: Execution Speedup via Semantics Aware Demonstration Data Downsampling for Imitation Learning.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies ESPADA: Execution Speedup via Semantics Aware Demonstration Data Downsampling for Imitation Learning

Reference 53

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source=pdf_text observed=2026-08-02T12:17:09.446198Z digest=sha256:2dc087065549b86201ec7412dd274c519f69438c1de0b9ea20101caf74f89568

Observation f5ec1ac5-3fba-445a-9b60-8a79c252f346 · outbound

This paper cites SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies

Reference 54

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source=pdf_text observed=2026-08-02T12:17:09.449232Z digest=sha256:a7e31418bae9608cff39677063600697eaa792002ed70ced20055ae134f9f616

Observation ff9401c2-6006-4d9e-a9e8-080776cfd291 · outbound

This paper cites Ratliff, M.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Ratliff, M

Reference 55

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source=pdf_text observed=2026-08-02T12:17:09.452807Z digest=sha256:1d59bb272fe2e13ca694bd3f8a2e8e777ea8e8b7cd90655ec579b805dc4ef4cc

Observation 24c0e6c2-4ccc-4b1d-b3a0-7c8aef529d8c · outbound

This paper cites Riemannian Motion Policies.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Riemannian Motion Policies

Reference 56

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source=pdf_text observed=2026-08-02T12:17:09.456029Z digest=sha256:3de664cfa8d34c8d845e04a445923a86ef14e756a5fc14552a1ce6db21ad15cf

Observation 23747404-0505-4e68-9476-f8628463af7f · outbound

This paper cites Sundaralingam, S.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Sundaralingam, S

Reference 57

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source=pdf_text observed=2026-08-02T12:17:09.460018Z digest=sha256:3122dcfabfa03dbec5b86907e3bae6785f72d1a4fcc29695bf78d298df2799ce

Observation 268a246b-515a-47ac-93e7-1df28c04ff35 · outbound

This paper cites Tune to Learn: How Controller Gains Shape Robot Policy Learning.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Tune to Learn: How Controller Gains Shape Robot Policy Learning

Reference 58

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source=pdf_text observed=2026-08-02T12:17:09.463790Z digest=sha256:b894049f11885d3939fd28e76b9f49e401929ba3ee1ecff5ff33fd24e8d62105

Observation 0e6ac0bb-aaac-4758-8853-160a8159d60c · outbound

This paper cites Shoemake.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies Shoemake

Reference 59

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source=pdf_text observed=2026-08-02T12:17:09.467127Z digest=sha256:64b47d88b72453fad92b6e297134a9c906a6449a68249d35562b8fbb88e18d68

Observation 9f91f4ca-24bd-45a4-aeec-55a2bab1e4de · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies PaliGemma: A versatile 3B VLM for transfer

Reference 60

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source=pdf_text observed=2026-08-02T12:17:09.470043Z digest=sha256:3739fb79254ddf9e58d7f30e1f0a2c68545e4201c9f2fab2c0ac1c73506ae205

Observation c8b02e85-fbd2-4e62-9f4b-21a14befe33b · outbound

This paper cites GPT-4o System Card.

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies GPT-4o System Card

Reference 61

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source=pdf_text observed=2026-08-02T12:17:09.473142Z digest=sha256:066f3ca2272a57836d499d73e869fb88fe3569fa32b562bb0fbe3f7fb4a7019d

Pith citing papers

Observation 18e184dd-d598-47b1-bbd2-41f09985f8c4 · inbound

Learning Action Priors for Cross-embodiment Robot Manipulation cites this paper.

Learning Action Priors for Cross-embodiment Robot Manipulation TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies

Reference 28

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local_arxiv, observed 2026-07-04T21:00:09.866499Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-25T19:09:56.409766Z digest=sha256:8823d9ceffe3d82e509dfdeca60bb78fe630b13b1a70db19c4322a458fd73aa2

Observation 9fd92054-4b66-482f-8ed4-b9e0b3d9851c · inbound

DynFly: Dynamic-Aware Continuous Trajectory Generation for UAV Vision-Language Navigation in Urban Environments cites this paper.

DynFly: Dynamic-Aware Continuous Trajectory Generation for UAV Vision-Language Navigation in Urban Environments TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies

Reference 21

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local_arxiv, observed 2026-07-01T10:25:41.236456Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-01T05:35:32.213470Z digest=sha256:98fefe029df6bdf21bda13bdedd7ea85736436da24eade2503d8bf249640ea52

Observation 136ec0f7-52c9-460f-b0b6-c82e7237645b · inbound

DynFly: Dynamic-Aware Continuous Trajectory Generation for UAV Vision-Language Navigation in Urban Environments cites this paper.

DynFly: Dynamic-Aware Continuous Trajectory Generation for UAV Vision-Language Navigation in Urban Environments TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies

Reference 21

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local_arxiv, observed 2026-07-03T22:18:59.691908Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-03T22:11:44.933463Z digest=sha256:f82b74d56b6ee1b5b76493a9cfc590d9aa112a0a03619e8e735dc9d1fe031939