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Paper Citation Record · LEDGER

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices

As of 15 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.10269.

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

pith.paper-citation-record.v1
2607.10269 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T13:02:42.673767Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

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Outbound references

Observation e9c648c7-be23-4f06-805c-ed9d7d789a84 · outbound

This paper cites Abusing Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Abusing Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs

Reference 1

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:8dac2191aec1ef15e20cd0772e803ed598e23080d05cdfa428217998a8d63d36

Observation b66c7212-d1fb-4c56-b574-e90ddead693a · outbound

This paper cites AI-based Wearable Vision Assistance System for the Visually Impaired: Integrating Real-Time Object Recognition and Contextual Understanding Using Large Vision-Language Models.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices AI-based Wearable Vision Assistance System for the Visually Impaired: Integrating Real-Time Object Recognition and Contextual Understanding Using Large Vision-Language Models

Reference 2

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:a535eea533706fc7cb9801f6e87513a7828ec00eb1fa6cf9b844a7983b39ec0a

Observation a7972f7d-5f4c-4c09-95db-9250b862e97a · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 3

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:7e21496b7276dd97d4afd3c28fbea418b8bc704de88ed6b4c5749e79db92f1e5

Observation 1b33b646-0362-4028-83b6-a6264df13d70 · outbound

This paper cites 2025.CHAI: Command Hijacking against embodied AI.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices 2025.CHAI: Command Hijacking against embodied AI

Reference 4

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:2986cf01dab86bc62b6de5dad30995f8fb7396b8ba8835e0b998b4ff120ad3e2

Observation 2b5fc7a8-5164-439b-94bf-2b9387345771 · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 5

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:f384aa2823b6a211704b87c28ff0e8f3678af825f0b59900315d04bcfb1400c3

Observation f6342ec9-039b-4b1e-8b15-a08f9ba02b75 · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 6

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:4dbcd147efa9c844093531d6d415b6f63c724d06aeb88cbee14b83c36f1295f3

Observation 8ca6c16d-8292-4780-9908-b0faedb734b6 · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 7

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:e9a08ba2eaae14ef8aa8c000221806b8525e675d0a6adc7a7064841baea826eb

Observation ac96f25c-ed76-4eff-a230-5986fbcb7fbf · outbound

This paper cites 2025.Exploring typographic visual prompts injection threats in cross-modality generation models.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices 2025.Exploring typographic visual prompts injection threats in cross-modality generation models

Reference 8

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:e04501b00249a9f34d847809ec3ad478249b30895315629266a89d5af9778202

Observation af8cdcdf-708e-4b3c-80ae-72edf47fa4cf · outbound

This paper cites Words or Vision: Do Vision-Language Models Have Blind Faith in Text?.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Words or Vision: Do Vision-Language Models Have Blind Faith in Text?

Reference 9

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:52c42973a57614884b83056fa95f8eaebc449b6d4f11cea3a3df618076a8ebc2

Observation b5b7b043-c9fd-475a-b738-6f32d8cb74f3 · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 10

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:3399a34f2afc22948d43cbed7ded939efad7c8004370de520d5cef3eca5ff4c4

Observation 430df9f3-f52a-4de1-bd50-9df7dff4bdcc · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 11

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:638181b7cbc108fb9b949fbf8c1f2042b568068362c5d205f07e8cd986199ad4

Observation b0ee4427-ff31-48bd-ac8e-d68edae37870 · outbound

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

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey

Reference 12

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:0f9dc52b2a064a4a4244eadb376c3079938184e40af2da810580d3dbf0ee21e8

Observation 02e69728-fb0a-4a7c-8812-27461b894b99 · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 13

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:1e6d68173c225cb684b1080bb39cfd98bbfbdd137a75502804ae091cf697d000

Observation 586f7831-5725-467b-8d3f-ba09ec888f03 · outbound

This paper cites 2026.Physical Prompt Injection Attacks on Large Vision-Language Models.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices 2026.Physical Prompt Injection Attacks on Large Vision-Language Models

Reference 14

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Observation 43d2bc63-59ba-4f6c-881a-b9fa4e0ff352 · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 15

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:3dda855bd4cfbff4a1d049ff975f21366b2c3c0f27cd48f167dd702f3de21255

Observation 032d25df-0e38-490a-aeff-8a46e75190c9 · outbound

This paper cites Automatic and Universal Prompt Injection Attacks against Large Language Models.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Automatic and Universal Prompt Injection Attacks against Large Language Models

Reference 16

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:5c434b31d243c50516ee10958cad6bf2bd931d89ef3bf865ba77c853440a3b56

Observation 7a253940-5468-4e42-9663-9fe9212f34a6 · outbound

This paper cites 2024.Ray-Ban | Meta Glasses Are Getting New AI Features and More Partner Integrations.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices 2024.Ray-Ban | Meta Glasses Are Getting New AI Features and More Partner Integrations

Reference 17

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source=pdf_text observed=2026-07-14T13:02:42.673767Z digest=sha256:82d4058f5620feecfc82339ad8f35d60952129cac195234051f4b63c0902bcbd

Observation 3e2120ee-8e2a-407d-83c7-ddddc8f45325 · outbound

This paper cites 2024.Welcome to a new age of AI hardware.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices 2024.Welcome to a new age of AI hardware

Reference 18

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Observation 86f5d3e0-e0c4-4456-bc6a-953f101d7c24 · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 19

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Observation 1d30e6a7-a477-4bcf-ac33-99a305481bf0 · outbound

This paper cites 2016.CC-News: News Dataset A vailable.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices 2016.CC-News: News Dataset A vailable

Reference 20

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Observation 2fcf1578-f60f-4c83-a47e-ba554315bb37 · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 21

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Observation 88d15d79-a94a-4377-8555-f4b57c9b6586 · outbound

This paper cites Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks

Reference 22

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Observation 02cde61c-4f56-4abf-a868-a31992b88230 · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 23

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Observation 6fdfd0aa-dc56-4162-9451-499dd5718e3c · outbound

This paper cites 2025.OpenAI now prototyping its first AI device, launch in ‘less than 2 years’.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices 2025.OpenAI now prototyping its first AI device, launch in ‘less than 2 years’

Reference 24

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Observation 148ef1f2-5f47-4045-8f32-343e0f194c93 · outbound

This paper cites Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors

Reference 25

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Observation b0116e31-657b-4332-930c-5191159e9d36 · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 26

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Observation efdf3169-09ef-48dc-b8a7-0e106fedc1cf · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 27

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Observation 5c4f246b-50a3-4492-a84a-23eff91accab · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 28

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Observation 01cee5be-6219-4e91-87a9-a7f2c92c440d · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 29

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Observation 1cf68e18-7e84-4a0b-a469-74430466d95a · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 30

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Observation 6089e557-d5fa-4dca-a259-4ffba5abe61a · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 31

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Observation 50402ec9-c7b2-4842-91e7-06bc2d2af557 · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 32

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Observation 681f93e2-c6ae-4e7e-bd03-642b1491c03d · outbound

This paper cites InProceedings of the Computer Vision and Pattern Recognition Conference.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices InProceedings of the Computer Vision and Pattern Recognition Conference

Reference 33

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Observation a8d82efe-3481-43d8-9959-d6a9c41a428d · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 34

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Observation d5728062-e561-4ca1-9fdf-6016927c7817 · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 35

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Observation 11287f39-3211-4daf-bfd5-f5288edc81b0 · outbound

This paper cites an unresolved cited work.

Devil in the Lens: Analyzing and Defending Physical Prompt Injection Against Vision-Language Models on Wearable Devices Unresolved cited work

Reference 36

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Pith citing papers

No inbound Pith citation observations are available.