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Paper Citation Record · LEDGER

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 29 inbound Pith citation observations for arXiv:2506.10100.

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

pith.paper-citation-record.v1
2506.10100 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:42:22.520527Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:47:08.917977Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:09:43.353580Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aacf24e7-c2b3-470e-ade4-fb84ea8df2a2 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation,.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation,

Reference 2

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:42:22.343098Z digest=sha256:6972b11eedfcf4d6c1a4d9e1faec6092d332178ebff86f64d2752386fdb7b484

Observation 77609ff6-b538-45c0-b690-64a2a12ff3e2 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Learning transferable visual models from natural language supervision,

Reference 3

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source=pdf_text observed=2026-08-07T04:42:22.348179Z digest=sha256:e6e36de4bf28b4d157c78836c6b7f489a43fdd2a558c3c52e532fbcc97370a5f

Observation baa521e3-ebf3-4db0-95e3-b65cb896c169 · outbound

This paper cites Mc-llava: Multi-concept personalized vision-language model,.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Mc-llava: Multi-concept personalized vision-language model,

Reference 4

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Observation b27a4e92-8246-41e1-98e8-9775f55dbf25 · outbound

This paper cites Llm as dataset analyst: Subpopulation structure discovery with large language model,.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Llm as dataset analyst: Subpopulation structure discovery with large language model,

Reference 5

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:42:22.357974Z digest=sha256:806301d2d27930b11e897c276fe92a3859b09f74c6f51cd5b0cf5c63f884c01f

Observation 320a45c5-9b07-462e-a697-8adb27f8ccf5 · outbound

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

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models OpenVLA: An Open-Source Vision-Language-Action Model

Reference 6

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source=pdf_text observed=2026-08-07T04:42:22.362474Z digest=sha256:e0a498c925facc1906b45fdee3d59850067c010b8af2b5c68e4d5a821bf03171

Observation 051eb1d3-decf-41ee-a5c5-6e40c862a084 · outbound

This paper cites Cogact: A foundational vision-language-action model for synergizing cognition and action in robotic manipulation,.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Cogact: A foundational vision-language-action model for synergizing cognition and action in robotic manipulation,

Reference 7

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:42:22.368007Z digest=sha256:2e3d821d4c31bf21c49fe5a0f4ccd602743cb6585e4d3790736a6ac5d39e1ce9

Observation 1642af91-ea4d-44a1-98b9-a3e6e2d3176e · outbound

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

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 8

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source=pdf_text observed=2026-08-07T04:42:22.372709Z digest=sha256:35dd6c8fc9417a1a65d52e12d41d4684c3b542055d46820a0a4d926efb1c5dbd

Observation e5399721-7228-49e8-98cb-c05020f66953 · outbound

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

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 9

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source=pdf_text observed=2026-08-07T04:42:22.377361Z digest=sha256:42ff2ca028e09148df50ad3075e81ea966b85c56299923e2788f19dc04db9d7e

Observation 85652d90-aaef-4c8e-8508-e489b2b0d284 · outbound

This paper cites Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot,.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Rh20t: A comprehensive robotic dataset for learning diverse skills in one-shot,

Reference 10

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source=pdf_text observed=2026-08-07T04:42:22.382025Z digest=sha256:02b139c91b869ae3175419b0e0fe3a8e34b09f55cfcb92a4288347c9fb0e9428

Observation 020d6a78-a086-4183-beb3-add3f89f3dd3 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0,.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0,

Reference 11

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:42:22.386914Z digest=sha256:e3629bd846d4f8511729262f0c46a42b11ab0074636ba67735eee84c55d0c2fd

Observation 086f3048-ec0e-44a0-a2fb-13ec3e1bccb0 · outbound

This paper cites Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning

Reference 12

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source=pdf_text observed=2026-08-07T04:42:22.391752Z digest=sha256:1ed85d08590ee81be816ffb0ae487d82afa9640f91c514b6343f66198092e208

Observation e8d590b4-e47e-4904-b7cc-28c8771c99df · outbound

This paper cites DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control

Reference 13

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source=pdf_text observed=2026-08-07T04:42:22.396376Z digest=sha256:9435fa173ed8d2124d55314945822e5de24f0c36d23f3003cda90f650ebcb503

Observation 96c28ed2-9e4b-42b7-84c6-4cdcd2ef2e7a · outbound

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

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation

Reference 14

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source=pdf_text observed=2026-08-07T04:42:22.401474Z digest=sha256:90e5c02013e02a289e127018690774f1eaf7be0b229cf99e6590bc6ac08ca870

Observation c984ae9d-181d-45d3-9eb2-a77891aed692 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 15

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source=pdf_text observed=2026-08-07T04:42:22.406153Z digest=sha256:85fbb125cb0467e86a0c8a76d0bf6f3bc89c2ade550b582ae6d66b9769d017db

Observation ed77cdd5-8a2b-4bb8-bf1b-af55189203de · outbound

This paper cites Gpt-3: Its nature, scope, limits, and consequences,.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Gpt-3: Its nature, scope, limits, and consequences,

Reference 16

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:42:22.410901Z digest=sha256:0b47c613f99578a3aded743400cbef0997e61c88389f23b8e7786f7af95f683d

Observation bc1fd14e-3e80-43ca-9f45-0ef5bf29cc74 · outbound

This paper cites GPT-4 Technical Report.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models GPT-4 Technical Report

Reference 17

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source=pdf_text observed=2026-08-07T04:42:22.415264Z digest=sha256:f88f4a1737c35795ff6eab62d94e912be02f7794aa274b8acf2d9a12f3b6f132

Observation faddad0e-b75c-407b-8653-185e68ed752f · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 18

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source=pdf_text observed=2026-08-07T04:42:22.419997Z digest=sha256:7a8182da8d149d1342d017ba44ab9e940ca618e8ffc2d8f78e3c7439bb7a4845

Observation 743d6ac6-6307-475b-b850-00e59b1f09ba · outbound

This paper cites Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning

Reference 19

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source=pdf_text observed=2026-08-07T04:42:22.425017Z digest=sha256:a6e51f68103b95d297c83c3d5e3e41501f6999eefdcf8cdca9e4f763e563b9cf

Observation a5275882-d35e-4cee-a032-515921a93d7a · outbound

This paper cites Deer-vla: Dynamic inference of multimodal large language models for efficient robot execution,.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Deer-vla: Dynamic inference of multimodal large language models for efficient robot execution,

Reference 20

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source=pdf_text observed=2026-08-07T04:42:22.429692Z digest=sha256:fc4f3ab92e1472293cde417a2195b6ae7c62af4b23a11adb32bdef9df5cdda61

Observation 25aa3d8d-ae22-4f6a-993b-bf3401d4953a · outbound

This paper cites MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation

Reference 21

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source=pdf_text observed=2026-08-07T04:42:22.434287Z digest=sha256:391d90cdaad59659e0d5aa8e832cbca23de026ab3f1ff914443b0ad320eaa8f6

Observation 959ff49e-de6f-4ee2-8209-1f45cb3ead09 · outbound

This paper cites Vla-cache: Towards efficient vision-language-action model via adaptive token caching in robotic manipulation,.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Vla-cache: Towards efficient vision-language-action model via adaptive token caching in robotic manipulation,

Reference 22

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source=pdf_text observed=2026-08-07T04:42:22.439171Z digest=sha256:63e7afa36dc3768657eecd6c4efd5d736807306c678c65d391120ece3fd881f8

Observation 3f6c98d6-7739-49b8-b544-cf5795d88626 · outbound

This paper cites Evaluating Real-World Robot Manipulation Policies in Simulation.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 23

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source=pdf_text observed=2026-08-07T04:42:22.443858Z digest=sha256:fa9cca86a4129e3ba6733cdfdefad32415e030217bb3109da2f5d490f5daeed7

Observation b6f21b8b-0c64-4036-950b-5921283d297f · outbound

This paper cites Vision-Language Foundation Models as Effective Robot Imitators.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Vision-Language Foundation Models as Effective Robot Imitators

Reference 24

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source=pdf_text observed=2026-08-07T04:42:22.448483Z digest=sha256:76a6507350ec350629ed0aef4a48cbb5d8ff5b2e826c79e113bd8ecb2de049d2

Observation 3cb5ba0e-88ac-4173-8124-fd95c4ff5bec · outbound

This paper cites Rt- 2: Vision-language-action models transfer web knowledge to robotic control,.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Rt- 2: Vision-language-action models transfer web knowledge to robotic control,

Reference 25

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:42:22.453348Z digest=sha256:f98dd7c45ccc7faaba0000465e4e9d641393b20207e5bc5ae10d894d43625b7f

Observation 086ef63c-0e52-4f4d-a69f-f2d391546eae · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Flamingo: a Visual Language Model for Few-Shot Learning

Reference 26

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source=pdf_text observed=2026-08-07T04:42:22.457907Z digest=sha256:3de92db134ae672d80d3956fe9203fa687c72f9a18b5086f2240eea73eacc8ba

Observation 1c694594-dc43-4882-85ad-42c7e2dc1fc3 · outbound

This paper cites Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

Reference 27

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source=pdf_text observed=2026-08-07T04:42:22.462536Z digest=sha256:95981eb7e24ceee8e98a6d9d55e8d14f41db321f56bcb3174aa9bd5a21533263

Observation ea5a9fc6-5d0c-4dcb-8641-bf866810c160 · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 28

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source=pdf_text observed=2026-08-07T04:42:22.467423Z digest=sha256:97c4b83aa112d167e7266d029819244f71d3915de08296fcaabe41cc79c16b64

Observation 4a52e617-b8ff-47fe-a799-2661b3047795 · outbound

This paper cites Visual Instruction Tuning.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Visual Instruction Tuning

Reference 29

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source=pdf_text observed=2026-08-07T04:42:22.472319Z digest=sha256:f15f83c37ee9a5b66c24ccf005719c53f3b9edff8f21e29bff1f8cf86d13532e

Observation 3c1a0722-21f1-41da-acc7-e306163ea6bf · outbound

This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 30

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source=pdf_text observed=2026-08-07T04:42:22.477013Z digest=sha256:331ef3a63f365d749d9af8928b9b8b9655c8c9a8e00b53b286f8b5238ed78261

Observation 4c7fdd45-9494-44f5-adf2-6742c56bd912 · outbound

This paper cites Shifting ai efficiency from model-centric to data-centric compression,.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Shifting ai efficiency from model-centric to data-centric compression,

Reference 31

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source=pdf_text observed=2026-08-07T04:42:22.481621Z digest=sha256:b0f2cc38ce888e9fb4540389c2b9dbda476f680f7f085f3ab5b21d81738bbe1a

Observation cacd0bc7-fd66-4a1a-9f80-daaf0b49ed6a · outbound

This paper cites Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More

Reference 32

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source=pdf_text observed=2026-08-07T04:42:22.486234Z digest=sha256:5f182be5f029c19b08203c3a372ece46da73bc46d989d703b78e6cd4cf555926

Observation 4028d45d-1f3b-4f46-8544-e66684b8a3ec · outbound

This paper cites RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation

Reference 33

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source=pdf_text observed=2026-08-07T04:42:22.491193Z digest=sha256:b51d4a56e6f34e1ed9de5b59b6d4c3d13ede177359d5f05cf5fd7c131b455573

Observation 78a1091e-b3b4-4e90-b66a-76d73d61b983 · outbound

This paper cites EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning

Reference 34

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source=pdf_text observed=2026-08-07T04:42:22.496390Z digest=sha256:9363e9add0df827790cbb6e42e5ee58b5fc30a4c08bad6a9b4f1e4e6dfa16516

Observation e0915ada-6900-45e5-b8dd-2469232b64b2 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models DINOv2: Learning Robust Visual Features without Supervision

Reference 35

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source=pdf_text observed=2026-08-07T04:42:22.501557Z digest=sha256:d30fef6090f6b4da8ab1e2cdddee8f2a064904953189227e2c5ee56aeaea8af3

Observation f11bb0b0-6789-4eb2-8ab4-4115c366cbee · outbound

This paper cites Sigmoid loss for language image pre-training,.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models Sigmoid loss for language image pre-training,

Reference 36

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no resolver link, observed 2026-08-07T04:42:22.506407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:22.506407Z digest=sha256:a2c0e82b28168f526253be6a8173796ad719a3a423b9db5b50a42d11d194a3cf

Observation 5c166334-8866-4bf3-9b26-33e05a25f187 · outbound

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

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 37

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no resolver link, observed 2026-08-07T04:42:22.511092Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:22.511092Z digest=sha256:921c355456d2e847ead39045c02c87016a34ac8dda45bcc6df1263ba7375df37

Observation b1069ea2-5275-431a-955b-85ad8ec40f76 · outbound

This paper cites An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models,.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models,

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-07T04:42:23.231985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T04:42:22.515825Z digest=sha256:4e7b0f76fe0347f2b671d6cb69fd6b3794d4edd9fb44cac415e1fba0dd84961d

Observation 052e0a74-8ea6-4abe-9850-bfc6f7250a8c · outbound

This paper cites You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning.

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning

Reference 39

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no resolver link, observed 2026-08-07T04:42:22.520527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:22.520527Z digest=sha256:edd8c4c5770a1d130627a7bd8165767bfbd386c65e37aae45cc83d0598a778de

Pith citing papers

Observation 4316c6d6-fead-4c95-9ae8-ee1f59723499 · inbound

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey cites this paper.

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 190

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verified exact
arxiv_id, observed 2026-05-17T20:28:16.171413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T20:28:15.818016Z digest=sha256:7e333abb27519610d2056cb85fbaa878b4122564a995292afe81cfa2938a7419

Observation 3b59d997-6657-4795-9fa9-181e2d445d87 · inbound

SQAP-VLA: A Synergistic Quantization-Aware Pruning Framework for High-Performance Vision-Language-Action Models cites this paper.

SQAP-VLA: A Synergistic Quantization-Aware Pruning Framework for High-Performance Vision-Language-Action Models EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 24

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no resolver link, observed 2026-08-04T19:47:08.917977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:47:08.917977Z digest=sha256:07cc0ee18d0bfee2b3ca02525310b26f12191745f59feedf09e06179d07225ee

Observation d008c444-3c0a-4ba0-98e6-d5093b28e79b · inbound

Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey cites this paper.

Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 36

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no resolver link, observed 2026-08-04T09:08:10.480133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:08:10.480133Z digest=sha256:0b497f1ac9dc7a6b41cb93319c69c235b15974efa5ced5285668bd8d3a956e13

Observation e53e1bc3-8d58-4f2b-a346-7bdc45d1b570 · inbound

Look, Zoom, Understand: The Robotic Eyeball for Embodied Perception cites this paper.

Look, Zoom, Understand: The Robotic Eyeball for Embodied Perception EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 26

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verified exact
arxiv_id, observed 2026-05-17T21:05:15.691585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T21:03:28.341042Z digest=sha256:04c2ab02fb3601eef6410d35d4257ad006f200f0f5f25a78d013fc13761424c6

Observation 4e054053-f9d8-44d1-ac88-d40fce46e3fc · inbound

ActDistill: General Action-Guided Self-Derived Distillation for Efficient Vision-Language-Action Models cites this paper.

ActDistill: General Action-Guided Self-Derived Distillation for Efficient Vision-Language-Action Models EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 27

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verified exact
arxiv_id, observed 2026-05-17T06:09:09.442219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T06:07:42.311608Z digest=sha256:7f26f5eceb3a00198478b95432e49987dbf1cbb0af597122708acb046495ea47

Observation 0f28b4b9-3a3a-4405-a49b-547632d1ed6d · inbound

VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer cites this paper.

VLSA: Vision-Language-Action Models with Plug-and-Play Safety Constraint Layer EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 32

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unresolved
no resolver link, observed 2026-08-03T17:38:20.825770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:38:20.825770Z digest=sha256:a43d55c1fe7b8856ff581cd07116e50fb44412d2f0bf0cc9103cb35b2b9fc510

Observation 981cc3f0-e0b8-4a8a-a7d9-342e1c6d426b · inbound

Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning cites this paper.

Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 17

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verified exact
arxiv_id, observed 2026-05-21T16:34:16.323095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T16:33:41.439450Z digest=sha256:21088259addb7cf9b96ecd919a886fac165e05443c8abfab97cfcaf1357763c8

Observation 02ab87f7-bc0e-40eb-9e14-48390c2f3690 · inbound

TIDAL: Temporally Interleaved Diffusion and Action Loop for High-Frequency VLA Control cites this paper.

TIDAL: Temporally Interleaved Diffusion and Action Loop for High-Frequency VLA Control EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 22

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unresolved
no resolver link, observed 2026-08-03T09:07:40.671144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:07:40.671144Z digest=sha256:a4898ac50afc3ab49ed30c57504cee0475fd4b7b6f38c0dbae66228d323ec8e6

Observation 6c7d9eef-d914-4cd6-a27e-074b5a3e79db · inbound

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models cites this paper.

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 45

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verified exact
arxiv_id, observed 2026-05-15T20:20:17.316243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T20:20:10.435886Z digest=sha256:c7194c5f8dfa9fa13dfbc5c789a82211606ce9a5f56de6e710758faad72f8570

Observation f0f7db96-b64f-48a4-b027-42b339bfb857 · inbound

KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models cites this paper.

KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 32

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verified exact
arxiv_id, observed 2026-05-15T18:40:14.556429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T18:39:58.095112Z digest=sha256:7d35d7fb2ffff9242093c72873e5fd6f332e8ef2d9ab7695d3d86af6d5aee4ad

Observation 1f69e69a-47b0-4c55-bd0c-c444b8940e1a · inbound

OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism cites this paper.

OxyGen: Unified KV Cache Management for VLA Inference under Multi-Task Parallelism EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 46

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verified exact
arxiv_id, observed 2026-05-21T11:50:03.894952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T11:46:12.134869Z digest=sha256:c98ad38b1d23a2acb6d4071d411791c42fb131640a7446fc5ea1be18424091d0

Observation f7d4b8bd-f3a8-446c-b38e-06586f789013 · inbound

HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness cites this paper.

HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 39

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verified exact
arxiv_id, observed 2026-05-15T09:19:54.367062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T09:15:50.963123Z digest=sha256:518d5a28b38d1db2f8b982f3231415ce0596920b8d41f22558ee120d02931df7

Observation 64185bdc-e3af-438c-9c05-343412c1578a · inbound

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

Fast-dVLA: Accelerating Discrete Diffusion VLA to Real-Time Performance EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 26

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verified exact
arxiv_id, observed 2026-05-15T00:28:23.079901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T00:27:35.706107Z digest=sha256:13af6e1bb687e2b30bccc35f1752ac296e61264e85e1b5917663e3d48d602174

Observation 4d22d0a3-9b6d-46ae-996a-8e5284e889b1 · inbound

Open-Loop Planning, Closed-Loop Verification: Speculative Verification for VLA cites this paper.

Open-Loop Planning, Closed-Loop Verification: Speculative Verification for VLA EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 38

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verified exact
arxiv_id, observed 2026-05-13T19:48:11.466762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T19:45:17.852646Z digest=sha256:13dd51c7e16e55847632b9a44b02615361371592cb4946933a6e92487bbfe527

Observation c8506f8c-8a63-4f16-b377-97d022dfb03a · inbound

SnapFlow: One-Step Action Generation for Flow-Matching VLAs via Progressive Self-Distillation cites this paper.

SnapFlow: One-Step Action Generation for Flow-Matching VLAs via Progressive Self-Distillation EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 16

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verified exact
arxiv_id, observed 2026-05-10T22:30:49.378979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T19:49:43.492952Z digest=sha256:e8f2ef6f845cb9673545c1943a1659c1efd8623b3e9a4a62124e43a642c136ac

Observation e1dd9d99-fa7f-46ff-8421-80aa2b4d6211 · inbound

A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model cites this paper.

A1: A Fully Transparent Open-Source, Adaptive and Efficient Truncated Vision-Language-Action Model EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 45

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verified exact
arxiv_id, observed 2026-05-10T22:50:51.343242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T19:31:23.255452Z digest=sha256:d2c945fae2de456d88ed0e23506f76aa5beda8c5905d47c49df80a2d9fde7eeb

Observation 95c54592-f7f1-4fec-a8ff-1bd60566a19a · inbound

Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment cites this paper.

Characterizing Vision-Language-Action Models across XPUs: Constraints and Acceleration for On-Robot Deployment EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T22:16:52.096217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:04:46.460069Z digest=sha256:7ad2716dff25661424a70e26ddd64f25c6ca490e3b613cdfae61525f02408054

Observation 13ae0dad-5a0d-425c-951a-b9c3994a7148 · inbound

Test-time Sparsity for Extreme Fast Action Diffusion cites this paper.

Test-time Sparsity for Extreme Fast Action Diffusion EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 28

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verified exact
arxiv_id, observed 2026-05-14T19:47:52.891164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T19:46:12.266227Z digest=sha256:b5bfb3a6949efee2b5a645bf7edb3dbb12a0fcc8a736053160b6eb1975d58b69

Observation 0107d8df-f2db-41c4-bcb2-7dad63fca88d · inbound

Realtime-VLA FLASH: Speculative Inference Framework for Diffusion-based VLAs cites this paper.

Realtime-VLA FLASH: Speculative Inference Framework for Diffusion-based VLAs EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:52:33.095937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T17:50:54.574805Z digest=sha256:5315b6a3eac397486d8f5e4a9437b5cd43e714b79794c3f3b34b5d8bdf7002fe

Observation fc81d8d9-83d4-478c-a640-037e81e0d0fe · inbound

ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Models cites this paper.

ElegantVLA: Learning When to Think for Efficient Vision-Language-Action Models EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 11

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verified exact
arxiv_id, observed 2026-06-29T07:23:13.012215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T07:16:27.229603Z digest=sha256:fc3c53d32b5dcfe4ca6e6a10cde783b6097e2987063de438c988d9ba6b33fad2

Observation 004af9c3-53d0-4396-bf1c-47914ef8f9b4 · inbound

SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation cites this paper.

SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 43

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verified exact
arxiv_id, observed 2026-06-29T08:43:14.995266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:40:10.152344Z digest=sha256:1e2e79dcc911a684a04fdfbdc7549dd9099df3c65ba021fba4b2d307712931fd

Observation f04faa39-63e9-4b65-a1d5-0c12d5bd2aba · inbound

SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation cites this paper.

SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-02T12:54:43.001891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:54:43.001891Z digest=sha256:e947b817348c657b05882199761615431688f90c5cfc0573f59c077d26c23177

Observation fde631ff-4b09-400d-8c0e-4c4d2d0e9b4c · inbound

AURA: Action-Gated Memory for Robot Policies at Constant VRAM cites this paper.

AURA: Action-Gated Memory for Robot Policies at Constant VRAM EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 64

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verified exact
arxiv_id, observed 2026-07-01T23:16:24.312584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T14:30:49.006075Z digest=sha256:d1f65ab6fc5d4f756d20cef5e8727525d4d16ab28a6c813e68b818d3242a9c0f

Observation 5c1302be-7ab3-445d-b8c5-f0d11d7a5e8e · inbound

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies cites this paper.

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

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:36:58.831557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T01:14:14.972805Z digest=sha256:df19a62b30c3baa663006ab98b3d37cb2bfbdebcffd2d6c726e7004dfcb894cb

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

TempoVLA: Learning Speed-Controllable Vision-Language-Action Policies cites this paper.

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

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T12:17:09.296034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:17:09.296034Z digest=sha256:7798716c1c8f0f774b8ded6bd33efd0b49a738494d0b9ef9e9c684705fe6f7bd

Observation 89634f0a-bbe8-42a2-ad79-111bab56487d · inbound

Mix-QVLA: Task-Evidence-Aware Mixed-Precision Quantization of Vision-Language-Action Models cites this paper.

Mix-QVLA: Task-Evidence-Aware Mixed-Precision Quantization of Vision-Language-Action Models EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:49:18.553137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T20:57:33.909350Z digest=sha256:19ca3bcadf5fd113faa5181aa0c4bd888b6923eaf50af5b2d216bbff77fee405

Observation f05d4f4e-6f77-4a43-b8c6-73abe9bda677 · inbound

PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models cites this paper.

PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 54

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verified exact
arxiv_id, observed 2026-07-04T09:09:43.355026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T10:27:00.283283Z digest=sha256:e2735060ddd42f4865248736c1a10352f789a4c8dd2acbf686c3111471b88798

Observation 65af8c99-1171-4d82-b1c8-00e7e2dbdfa6 · inbound

OmniCoT: A Benchmark for Global and Multi-Step Panoramic Reasoning cites this paper.

OmniCoT: A Benchmark for Global and Multi-Step Panoramic Reasoning EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:14:19.071969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T06:11:09.693576Z digest=sha256:374e230bc9cf570c81fe2f96bf81707ecc6893b53ad313ae257a958523e81f79

Observation 4a86d6ca-a55f-43b0-9b94-063ce82f6fb4 · inbound

Revisiting Parameter Redundancy in Vision-Language-Action Models: Insights from VLM-to-VLA Adaptation cites this paper.

Revisiting Parameter Redundancy in Vision-Language-Action Models: Insights from VLM-to-VLA Adaptation EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:45:42.872784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T05:07:45.792132Z digest=sha256:30f7e0fe8792537d06a74a70e9fec951cb62a3a29640fe02fe88aeac08b45344