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Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 30 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 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:26:37.873643Z

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:42:22.343098Z digest=sha256:0d8901ff454725e6b2c02044d5b89873ced30a907274cad239486818837ee0d3

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=sha256:79f0d85153768713367997c8f387ad3988ebc6d480a20bba4417f0fe115f3209

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:42:22.357974Z digest=sha256:d8b297801487dfd4abd423d0d95f48e1f23637ae0755c46e7b8f2204eef2e838

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:d3179ed58a4720ee0549093233b8c80365a688d2d17869d86b7e6e2e5e40b828

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:42:22.368007Z digest=sha256:00d4bbc60538c0c7122312898502e5733e1d490b9292b6d3eeac6d2ae9041b19

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:d0978933733437b57ef1da27615d50c07f5adb3354b09a0ee1450299708182b3

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=sha256:1152237a3f99c72be7de341cf0c4e243eb9c34143aa0202770fb49d4da55c5f3

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=sha256:1ce3aae72b837751c251b57820aedbe4dd60e7c4472a692e982114e3d027da7c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:42:22.386914Z digest=sha256:8f13ff8c0f994fe9e9f2e6b09c64434a481dac06be1165720581371a046c651d

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=sha256:7ea7026edcdd7007d2b34523b3941fcad5a1e0841c125c96dd795b764abaf228

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:c64148ae6cd3c72d33bc56f3590d1e5af81a050d7952e3221bf8895ba4378ddd

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=sha256:75f6766fc5b04aa879251ba05320b5a0b0a470d13c16b47de648f5258f3d7572

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:c17bd371d35cf43a7f68f90cbd336417717869a2db8f76adad9fe75c90909a02

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:42:22.410901Z digest=sha256:7349ccd338e4c11f8e6d27347dd1ab9f9b22fa7f174f756fdc9b607634c34927

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:b8efe31680c4c75c00bde366b92b31e264f63b06eb82074bf3b02143313e7000

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:a0eb61d0613a197a30b6d7c70e3c4f31765a9cfa93d0fe5c490ba1819ddb02b1

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:b42f61b249eec6954006f0dcb6477fe3a9246b2c9d014dbee8b66522dd1eb7d3

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-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:42:22.429692Z digest=sha256:53431f1d9164892178261859fa59d3f8fe75b279337caba94dcbd56ce984d050

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=sha256:1273891ad0327c759a62ced6bdaa2cff1dd426ddceaf8e3452181a4cdc43749a

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=sha256:46f4061de8533ea153d5d863d7ecaa47591ceaa0d1fd429ded382fc945979493

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=sha256:5334a599eff2df5595ee856ffe909bc1bac5ac495379f7237135e24b7a02cf4e

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=sha256:4354943dad80877b4e50b65034ca51294f6319f8da93e915d8b66e1bbbbab6ac

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:42:22.453348Z digest=sha256:eb23197d5551684849f12835ceb6d99d53f4abf46d81ecd038dac3bdd18d1515

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=sha256:704fe22d6a4d0a12fdeba431ccf4eb6aa5cccd0b6ccf3ef8e332c9f33d92edb5

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=sha256:312aebb9873036d1c7ca0b636d03b4f932f513a5708fefb5500c233303fe3879

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=sha256:3d0ad5df927b30211b6c73d3347d02c86a3a36c9bbdb337c287da4471dc98e38

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=sha256:6a47b0606b1669eb820065de34fbb23fd07f3994038db6071fe5b6122b656c1f

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=sha256:85d4c087323257280f87f925900f9ce66277b3aa02755403b5b2c9e2b662318c

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:dc29852a3d05e1724bebfee9a9935cdedf867f0da2b7f2f03efcfe00ac95425a

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=sha256:4b955df0f74f4207a8f91b0ec3c3f04226c0752f72be86bf2a083bb5afda4893

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:a2c86fabad7ed0c2dd6b2ea013f400229f1137624b9816193bc0ee04365563b4

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=sha256:906593d2666cafa7886578e21d5128c52cb25bb541d673156ac7c6ede30e2ed1

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:af6353ea2491eba0d699d4d60cd06be868acdd512e6f5919b58b3977a07ae096

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:22.506407Z digest=sha256:48b99ab55d1988bf6d9315e88275c8320eafa8175db0d45b27ee4d9078e8b4f5

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:22.511092Z digest=sha256:d9f903d3ccb1814960006a61dcc60f3b7a1b7903f23bbd50b31e644bcef2d8e4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T04:42:22.515825Z digest=sha256:b3174f4e4f19438c2cfeb77d1889ed5ae6878fb70f8c489e75a36e5110679a03

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:a4bdec08dc5ec009b1358c5bd6a55d6b97b5284f018c756c329b34d1bbadd819

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T20:28:15.818016Z digest=sha256:526d33eead7b7393b04cb62e0b8b1fc00090fc13a0b7045839ad3f9a8c8dc3fa

Observation 44d9d7e3-ee97-4034-88c2-386843edd8bd · inbound

SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning cites this paper.

SpecPrune-VLA: Accelerating Vision-Language-Action Models via Action-Aware Self-Speculative Pruning EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Reference 26

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unresolved
no resolver link, observed 2026-08-15T16:26:37.873643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:26:37.873643Z digest=sha256:a01b5dc39ba765489c9806bacac6da7141e8f0c1b0c271b3bc5b907ea04b8a62

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:c95a633528e46f72146465805f622d46a9b07ca830db9e1727940a86b835a71f

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=sha256:0f207636d8265645616d1524564011d3b9ec900bb272e289bffea4acaec28c75

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T21:03:28.341042Z digest=sha256:a8e5f7e0528c1308923075a0b1690f69477aac80840b0a2e9f34b5f0c40372e2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T06:07:42.311608Z digest=sha256:8718f8c267d1c41e70085ba4d51734b0029918490aa63427dd390475fb42142e

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=sha256:4ff1d9639a5d8d6bc2e44df1dd8fe4b8f29db62597e9eac9cbf3e88acd47c413

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T16:33:41.439450Z digest=sha256:15eb6be21b10fe0823eafe644e553b80f657a4ef63fc48552e041632c538798d

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:b43664cb032b9c6d40430996e3dc88acce2b23b113ecce4100b65f98a1107cd0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T20:20:10.435886Z digest=sha256:0d368111e23c3fb4503f405c3e8b93b10b7d94a5391d853906ebb3842afb4f83

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T18:39:58.095112Z digest=sha256:e27b66740b08ad9d6d1a93684670236fe016d69f86348d19b0bb3b1d03596f08

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T11:46:12.134869Z digest=sha256:78efe4405415d488198090cbcbac0328956bc471613d0b1ec3b295aa93390e40

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T09:15:50.963123Z digest=sha256:24d9f9d7d88d51cb9be60282166ea5f84660873f0289a64655c9492e9b15abf5

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T00:27:35.706107Z digest=sha256:8504baac3e8d780ccd0a7be7a85403f7b955cbc498e17c4b235e82456f2ae33c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T19:45:17.852646Z digest=sha256:ef81f6ec3721fd0238d83eadaf619bef3737d34bf1f055549448fb7fb4bca56e

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T19:49:43.492952Z digest=sha256:a31dd191ba2151928ace154733ab6a27cabcf33c86b10d21e2823e2e9e01ef11

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T19:31:23.255452Z digest=sha256:bde0c894077d262380c1b1f2c0f5a88b1506acc43d7a480ff75741f34fefad17

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T03:04:46.460069Z digest=sha256:a3b8ce78d0b5a664e0ac1020d2d0abdd728f661a84e2caf11048b17d3d46c1c3

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-14T19:46:12.266227Z digest=sha256:aea55e46ed55ddd53d50b7bd2cd913798f72bf396f8bae8fd8c2a498011cc0ab

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-14T17:50:54.574805Z digest=sha256:d6b10532c59d7789e07d808146963f9fcbac149a3fae008991f18be4a0838b18

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T07:16:27.229603Z digest=sha256:ad35ac7a7f110dc0b3952d549b9f16b0eccbe6d2bd753bd1f96c2b759a1b62e0

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T08:40:10.152344Z digest=sha256:80c3b9f2027ec2507bb5503dbfd0b22df5611eba14c6c7bf28c4bf86e0a9384c

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=sha256:0f8d9fa713ab1394b96db050cc14621b50ce0df9191486c2ca4b5d4c559fcadf

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T14:30:49.006075Z digest=sha256:194f6b49ddcac6d9996edfca942328de48bb2ba1125912b4108cde941b3d50df

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T01:14:14.972805Z digest=sha256:56969f1acc209e888a9066c637518cf9734af658861e496686bb72e659ef0a03

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:aef11622fb219f1cb5b5014e1ca98500638e8f465fa2d253356377d3eb76de35

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T20:57:33.909350Z digest=sha256:ece8f57f4cc3ef05c35251116cb61daa2059c0c6e828753186c86aac22c8a22f

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

Resolution
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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T10:27:00.283283Z digest=sha256:2f89123202e7ccb027c19d5451111eeef54ffec06397f5082e66438292d8dcff

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T06:11:09.693576Z digest=sha256:bebda6b1f0d6852df7f50db6c954863d083c5cebf6d31d1268452a17cc21aa59

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-01T05:07:45.792132Z digest=sha256:27f2b9d109ad6951c83b1a83e386bc89ebff107d1ceb8a2bce9b2d64f522da13