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Paper Citation Record · LEDGER

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.01028.

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

pith.paper-citation-record.v1
2608.01028 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:41:30.243616Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved34
  • parse uncertain0
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  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 23ce03eb-699b-4d40-b4fb-d73440f4d56f · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 1

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e6a4f24b-f745-4220-9533-7ccf67074e55 · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 2

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bf15be27-6e9b-44a4-a8fe-66a41784741b · outbound

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

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 3

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Observation 87ea93ce-6653-424d-805f-874837dd716b · outbound

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

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks RT-1: Robotics Transformer for Real-World Control at Scale

Reference 4

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Reference 5

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Observation 9f3737b5-9e6b-4499-a249-ec79a934741c · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e139a43c-2c99-403e-a9dc-b7c9b9635c0f · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 7

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 31cbaa80-0bb1-49bf-8f1a-2de3913b662d · outbound

This paper cites Manipulation facing threats: Evalu- ating physical vulnerabilities in end-to-end vision language action models.arXiv preprint arXiv:2409.13174.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Manipulation facing threats: Evalu- ating physical vulnerabilities in end-to-end vision language action models.arXiv preprint arXiv:2409.13174

Reference 8

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source=pdf_text observed=2026-08-06T00:41:27.705730Z digest=sha256:a0f6c7b8d1e8909c05df27d3e9bca4913bf003f30b8ee1fc25e49a1db07a8886

Observation 897fe5cb-302a-4601-9946-7855e0473cd8 · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:41:27.756871Z digest=sha256:90577f07e20351d044562cd8b36efd4f0d8cb7cba2e768ca2d15ba6719f5c0b1

Observation ab60b312-c42b-45a9-93be-a9593389959b · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 10

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:41:27.866571Z digest=sha256:2f851ef8a013646152979fdce732728181b650cbb1ac1f3eac50bc97f946c245

Observation 1fbd1d68-4718-4ba7-b3ea-c540a8521792 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Explaining and Harnessing Adversarial Examples

Reference 11

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source=pdf_text observed=2026-08-06T00:41:27.966512Z digest=sha256:b6477c58a0e1eac6b74df1f95850ea6132f808e268923ae50d9a272c6e91e2e4

Observation fd465331-c83d-441c-9195-7334072f4a0b · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 12

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source=pdf_text observed=2026-08-06T00:41:28.038640Z digest=sha256:5e8fc8417d689094fed619e14fc80adeba862ed5134a31338a6452d9db581461

Observation c6f78c9a-cec9-45e5-8651-911315d19202 · outbound

This paper cites Lora: Low-rank adaptation of large language models.Iclr, 1(2):3.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Lora: Low-rank adaptation of large language models.Iclr, 1(2):3

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:41:28.091777Z digest=sha256:0b1c7149e9817dbea6ba277084ed99f3b2da5577083a2ab6c9cc0822a4ea8e2c

Observation c623575b-7270-4968-8cbe-1d7c034a4973 · outbound

This paper cites Adversarial Attacks on Robotic Vision Language Action Models.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Adversarial Attacks on Robotic Vision Language Action Models

Reference 14

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source=pdf_text observed=2026-08-06T00:41:28.189227Z digest=sha256:5c3f8549596ec44173a9a55f7c4b0d1efc7fece0a7826493bdec448febe2b991

Observation dd89f978-d19f-4912-a53e-0023aca26dfc · outbound

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

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks OpenVLA: An Open-Source Vision-Language-Action Model

Reference 15

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source=pdf_text observed=2026-08-06T00:41:28.253777Z digest=sha256:06b2dc6cf4fd7976a8daed7cf1c8abcc62df630f8bb793060d494ab8b11500df

Observation fe9fd81b-398b-4ab8-bdf6-1cd6b8431311 · outbound

This paper cites Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection

Reference 16

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Observation 60d76cc7-f5ff-4bef-b95d-4947d74e13f2 · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-06T00:41:28.426588Z digest=sha256:c95a987592022e894112de606ed95773498c4cec0b231ae8b6bf4dd8b9c77578

Observation 04597db0-355d-4f61-a6aa-afc0227223ec · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9a38a844-8db3-41c7-92cf-d9c967c37699 · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 29795114-8e78-4aab-a1e1-119dbbea69e3 · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-06T00:41:28.599928Z digest=sha256:161facbd4b695cf6d53f99565773e43f34c6fd5b0aba2cef49f747947119a6e9

Observation 3e1a18aa-b6c8-4ad9-b648-97ba68283b9b · outbound

This paper cites (June 2025).

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks (June 2025)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:41:32.923912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3cdbbec7-5d80-496d-abc5-b4076f8f90fe · outbound

This paper cites RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 22

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source=pdf_text observed=2026-08-06T00:41:28.726337Z digest=sha256:1667bfa7d8625c5122538946ec68c26f3299c80664dc69389428013d672bf35d

Observation 75d06194-b094-4559-a485-3dab8f03c464 · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-06T00:41:28.790147Z digest=sha256:ae267ac11b7f70def5a3650c842370b80068a6508c42f2d29ab876bef409273e

Observation e7e46c93-56de-4573-8e22-a6fb9f909441 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 24

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source=pdf_text observed=2026-08-06T00:41:28.857899Z digest=sha256:7431f3e8fc1b32ec9be2b2fb636498ac110abde6f44336e55eda819e2e0b9015

Observation 59773805-4db5-49ce-b21f-c37e2440c9d5 · outbound

This paper cites Diffusion Models for Adversarial Purification.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Diffusion Models for Adversarial Purification

Reference 25

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source=pdf_text observed=2026-08-06T00:41:28.937593Z digest=sha256:ec85d9476535c3af6ab3cad6ee4b1466e2e25b407155a4226a91288ee44e3320

Observation eb23e214-039e-4456-94a5-005b4f7016c1 · outbound

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

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment col- laboration 0

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:41:29.034407Z digest=sha256:de7896254558c49a440c755c172dc440fb326bfcfcbbda13fe78cb21900310f5

Observation 4fa4bae4-9aee-4773-8a88-70aea3636597 · outbound

This paper cites (October 2025).

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks (October 2025)

Reference 27

Resolution
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raw_fallback, observed 2026-08-06T00:41:32.503268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:41:29.089980Z digest=sha256:9e47008eb7437a8925ee2f2f779a5b8f1d65d6c3d291db746ff95ee34a89ae9f

Observation 7b544c49-dd99-4e86-b352-d5ac854f5e9c · outbound

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

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Octo: An Open-Source Generalist Robot Policy

Reference 28

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source=pdf_text observed=2026-08-06T00:41:29.164039Z digest=sha256:8f48e7b663c822b00e97800a21fe295a885cff6154e937f5c946773a3f699144

Observation 3eeab47e-de2b-417e-ba83-bd455091fb91 · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-06T00:41:32.300638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:41:29.231295Z digest=sha256:b8762acb7971d27295e73de50ad9f554f24ec2d5ff0b91136fed74dabecd9253

Observation 68cf8e43-07dd-4bfa-b055-c3bb48d85360 · outbound

This paper cites Freezevla: Action-freezing attacks against vision-language-action models.arXiv preprint arXiv:2509.19870.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Freezevla: Action-freezing attacks against vision-language-action models.arXiv preprint arXiv:2509.19870

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:41:29.308919Z digest=sha256:e8cb672e0cce8eeb06396b93c3f29d91c7fd553bb30a71d41df63d41073ad3cb

Observation ef70ef77-9b07-45d6-98fb-012fce9eb004 · outbound

This paper cites (2021).{PatchGuard}: A provably robust defense against adversarial patches via small receptive fields and mask- ing.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks (2021).{PatchGuard}: A provably robust defense against adversarial patches via small receptive fields and mask- ing

Reference 31

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raw_fallback, observed 2026-08-06T00:41:32.060503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:41:29.380446Z digest=sha256:ed29420941bf6c1a4ae5de422a185e5e72240414d9150a03d5f4cf68cafe6fd7

Observation ce74d5e3-7fee-421a-8cd4-6b198907e6a5 · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:41:29.465513Z digest=sha256:461d0ef035327b73817e7e6898a13c9061bf97970494397b5a0c5bd023dba005

Observation 7537da59-558a-4da6-a313-f7bed1b250f1 · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-06T00:41:29.556897Z digest=sha256:6b38d4cb0a57defc3893f8aef2b44d61d869a7944647bf48d24c39f1bd7c6bf2

Observation 9d0a5c4d-6a19-4c3e-b3cf-fb06e498bd77 · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:41:29.666665Z digest=sha256:a9e47b1e48e0bf0f59c68aad8d4aad2c788ca6f980cc71cc9e9b42a02b9ce69d

Observation 52edc394-9027-4b1e-9d97-16e4e7596c24 · outbound

This paper cites Richard Yu, Ji Chen, and Bing Dai.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Richard Yu, Ji Chen, and Bing Dai

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:41:31.863691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:41:29.723206Z digest=sha256:7480578f2c76d08a9433b1591c1c5032c1f1d21254ac7ba559743cf55c993bac

Observation 2d31dae1-d9e7-4122-a9b6-c5cc27e41bd4 · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T00:41:31.635460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:41:29.786578Z digest=sha256:b9bd41d1b05dc622e471bbd3f95b04883bdecaa883d36e140b5e76c9eb3c9daa

Observation 7b3b3660-d8bc-4a0f-b56a-e2339f68c3cf · outbound

This paper cites Yu and Amiya Nayak.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Yu and Amiya Nayak

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:41:31.444553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:41:29.829178Z digest=sha256:7e5c7ceb7c93088c566aa56cc66bb3773039ba7285b03ef132bc1d36c4b4b74b

Observation a2468512-0c57-47f6-a6cb-baf8a0030dee · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T00:41:29.927186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:41:29.927186Z digest=sha256:942c0f71400671dae63000da6e480c1c63b2817eb0b3df860db4d61036f0136a

Observation a83ab1fa-054d-4420-abac-7bec8235f93e · outbound

This paper cites BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks BadVLA: Towards Backdoor Attacks on Vision-Language-Action Models via Objective-Decoupled Optimization

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T00:41:30.013412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:41:30.013412Z digest=sha256:780ef4413b44c80f5ee21f96a89559e4a536704fff9729ddf4d067cb07c45e2f

Observation 73677ddd-b372-4fcb-8b47-4e3a186aabdf · outbound

This paper cites an unresolved cited work.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T00:41:30.093706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:41:30.093706Z digest=sha256:5194a27c0e1f8701f0240c5ee4a35a706f944165b2683efa1b11522ada4dabcc

Observation 57d489c9-dbf8-41f1-b0ef-9b7f72f5d3f0 · outbound

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

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Rt-2: Vision-language-action models transfer web knowledge to robotic control

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T00:41:31.223265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T00:41:30.163685Z digest=sha256:ac3823c0e78f742ef422db398c381b83044506bdb3cbacf7facd6f382619173b

Observation d5eb3166-26b1-4051-9815-a9767c29c253 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T00:41:30.243616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:41:30.243616Z digest=sha256:89e9f6cb85fd8b059baec1737cc71459f3779ace46602506b4931331b28c5903

Pith citing papers

No inbound Pith citation observations are available.