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Paper Citation Record · LEDGER

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents

As of 20 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 3 inbound Pith citation observations for arXiv:2505.12981.

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

pith.paper-citation-record.v1
2505.12981 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:28:15.736267Z

measured 74 of 74 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:11:18.279076Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:11:18.938391Z

Reference resolution

71 of 71 outbound references displayed

  • verified exact1
  • verified fuzzy33
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99b7a93a-7272-4a2e-9ea1-969085f8c947 · outbound

This paper cites Large language models for software engi- neering: A systematic literature review,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Large language models for software engi- neering: A systematic literature review,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.460315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.460315Z digest=sha256:5e4a99d87acd2475393e769857a5e2226d4621db4f730802b0a7f43cad320f50

Observation fb9c7e46-4068-42fd-b65d-fe4a9a0eaa72 · outbound

This paper cites GUI Agents with Foundation Models: A Comprehensive Survey.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents GUI Agents with Foundation Models: A Comprehensive Survey

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.465072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.465072Z digest=sha256:586ca1dd4ca601a021540d3005f89ecf5f934a0637c7e881914309ebc5201711

Observation feb75a19-f460-4597-9a9c-659c372cd1d9 · outbound

This paper cites Large Language Model-Brained GUI Agents: A Survey.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Large Language Model-Brained GUI Agents: A Survey

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.470688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.470688Z digest=sha256:3a72858d3ed7c07c4a91a935fe9e2a1051336658c085865880efef59414ba926

Observation 46808128-85dc-4ea0-832b-3107793b01db · outbound

This paper cites Foundations and Recent Trends in Multimodal Mobile Agents: A Survey.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Foundations and Recent Trends in Multimodal Mobile Agents: A Survey

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.475515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.475515Z digest=sha256:ec7f10780fa8f3dc0157c81a8575e88d80066ef47928e375d8f3f490c8651972

Observation 96f9acc5-bf67-4785-9d9e-848cf517c4da · outbound

This paper cites Ai agents vs. ai assistants,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Ai agents vs. ai assistants,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.600419Z

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=2026-08-15T20:28:15.480316Z digest=sha256:4cedacdc9208b4f2ded075b297dae7dcacdb0e14a815456056b4a6a126b6cfaa

Observation 575bc650-19bb-4617-9483-67f52daead4c · outbound

This paper cites Agentic ai is revolutionizing business and daily life,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Agentic ai is revolutionizing business and daily life,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.586843Z

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=2026-08-15T20:28:15.485481Z digest=sha256:af8701a204623ca5ab95ceb83f8d28e15db80234e477b6b1090a281ce3c4e9bb

Observation 4121a780-373e-4bcc-81c5-51c4defbe12a · outbound

This paper cites 6 ai trends you’ll see more of in 2025,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents 6 ai trends you’ll see more of in 2025,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.574946Z

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=2026-08-15T20:28:15.489773Z digest=sha256:1eb440998bcdf1ecc59ec726b964c37f19bd9a15f6584bdc6024ce27d3e3961b

Observation e2a61153-73e8-419a-9e4e-4dbd030840b5 · outbound

This paper cites MagicOS,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents MagicOS,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.564154Z

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=2026-08-15T20:28:15.493532Z digest=sha256:f0b05ae06a958824d202b2b7353bcbf98e13952adc5adad4c9ca6bdb2f35dff1

Observation 69d8fc46-dd78-40bb-b4f1-47c95352ec12 · outbound

This paper cites AutoGLM: Autonomous Foundation Agents for GUIs.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents AutoGLM: Autonomous Foundation Agents for GUIs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.497748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.497748Z digest=sha256:6eb218cf60ccccce65c7b2fcb8d74be1b10c15b665e61ea70b645084aa415aac

Observation 46d22e66-63e7-4913-bc19-cd7c3de371c0 · outbound

This paper cites This android skin has an ai that can order coffee and manage subscriptions,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents This android skin has an ai that can order coffee and manage subscriptions,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.552201Z

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=2026-08-15T20:28:15.502546Z digest=sha256:2a5e1be1983a5688e9c7a99e65bda1d93dc0bdf5c93405e451deffe5f5453fd3

Observation 19bc6f2e-168c-4d3f-a3cd-f1076f75a935 · outbound

This paper cites What is an ai agent?.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents What is an ai agent?

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.536252Z

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=2026-08-15T20:28:15.506600Z digest=sha256:edb5bd51c70b2e69ee790f03372b568999224449299f2328d6d4425830cda9b4

Observation 90c3a263-49f4-40b1-b414-616d1062a774 · outbound

This paper cites Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.510735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.510735Z digest=sha256:30d2e278814685a579ef60c9c8595535f75be66ab0f83e6ff32e176775892fd2

Observation d8de09b3-c378-41ce-8c42-f8db2d215efc · outbound

This paper cites When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.514564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.514564Z digest=sha256:c3a05be7d7920ad03e665edbd37642df232adaa2bf700ac2b3ae3b8bf0c1091d

Observation c66bc859-a7e5-4123-8bfd-f398043d1fb7 · outbound

This paper cites WIPI: A New Web Threat for LLM-Driven Web Agents.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents WIPI: A New Web Threat for LLM-Driven Web Agents

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.518527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.518527Z digest=sha256:cd78031072419c73c8b430cdb3d67a645e201e9c178379ce6e8657763686edd6

Observation ab940673-22a3-405a-8801-09b08bd359b6 · outbound

This paper cites Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.523978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.523978Z digest=sha256:a2faa73e04a61c1681da038643cb2fdf72107201bf5c48f0b1afcd0918161fc8

Observation da1b468c-6fd0-4616-9d8b-231c1a97d3a3 · outbound

This paper cites EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.528843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.528843Z digest=sha256:bc9af5618cc617747e19eec1ae6f9ba3fa04e4401506c42e5fd33d27a28d8081

Observation 494eb1e6-f899-4489-bfc5-f15213e909f3 · outbound

This paper cites AdvAgent: Controllable Blackbox Red-teaming on Web Agents.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents AdvAgent: Controllable Blackbox Red-teaming on Web Agents

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.532767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.532767Z digest=sha256:a464382624b4eaa98d5c1907253ee49032982c2c39700b0ba4a18f70a2482ef6

Observation d5d8ae3c-194d-47ce-8053-495b49c60c3f · outbound

This paper cites Towards Action Hijacking of Large Language Model-based Agent.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Towards Action Hijacking of Large Language Model-based Agent

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.536913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.536913Z digest=sha256:ff4e10bbe15974c6c65b20699ae45c46c231a8588269b0bb02c63476678ba14c

Observation 9f10c6c6-bf12-4df6-b692-6afbe08173e4 · outbound

This paper cites Translating Natural Language to Planning Goals with Large-Language Models.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Translating Natural Language to Planning Goals with Large-Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.541257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.541257Z digest=sha256:92cc02c113be2af9a367cb2c550493536406aaa17b7c0e149a6588a188ca0c94

Observation 0fa684fa-6d12-4493-b274-52876b7c2d93 · outbound

This paper cites Large language models versus natural language understand- ing and generation,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Large language models versus natural language understand- ing and generation,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.524220Z

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=2026-08-15T20:28:15.545712Z digest=sha256:5ce3228271c7e789f4502eb0a770940e238e6b72402b8a3eb60e24c9324b4fe6

Observation 20e42c18-74c7-4068-bc5a-39e0fa51de33 · outbound

This paper cites Droidbot: a lightweight ui-guided test input generator for android,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Droidbot: a lightweight ui-guided test input generator for android,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.511567Z

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=2026-08-15T20:28:15.549157Z digest=sha256:b649d635444b9028e3d8b016350cc2a2502485df01cd5f55bdb8e22ca7b3f9c3

Observation 02d806ec-d222-4983-a959-b3d293c405ed · outbound

This paper cites an unresolved cited work.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:28:16.498610Z

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=2026-08-15T20:28:15.553559Z digest=sha256:10d489748476731cef7815da5604104bfb13d4c7946aebf819845dacfd178e02

Observation b05910a9-f54d-470a-af08-805e9ac62862 · outbound

This paper cites Create your own accessibility service,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Create your own accessibility service,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.486642Z

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=2026-08-15T20:28:15.557229Z digest=sha256:a8cb38db6abc2d6f195d9a49fcb1a63fe0737965e92c1551feb7018d3d851f2a

Observation 9b66fde0-2bba-42bb-870b-08c00424ae1f · outbound

This paper cites OriginOS,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents OriginOS,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.473491Z

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=2026-08-15T20:28:15.562067Z digest=sha256:4894be1d17c04f8c4fdbbe926bb1383043ccc38e79e9dffd3e9db11eaf929e8a

Observation 5e409692-1d84-4076-a7b0-9b4718483677 · outbound

This paper cites Android API reference,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Android API reference,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.461013Z

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=2026-08-15T20:28:15.566118Z digest=sha256:911392b2f403523d796ff970909017b2abee4569b6b6ef2870d12ec9f04b1aaa

Observation 4f718196-e2c6-4f08-95eb-0ec9a1ea0fe8 · outbound

This paper cites Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.569817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.569817Z digest=sha256:6f40dc475453d3a7b1dbfe0d35a6b9195b09c0a04677cf6452248fcc9fce2a9d

Observation 4a23c9e3-87af-4814-b621-f950a0e0c3fe · outbound

This paper cites Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.574068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.574068Z digest=sha256:1abf895f85126b056314f2c45dd6be2a8da913d9cd4e7d57d173d3c78d5b799d

Observation 7a201c8b-83b9-4ead-a2fc-098ed3eb7977 · outbound

This paper cites AppAgent: Multimodal Agents as Smartphone Users.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents AppAgent: Multimodal Agents as Smartphone Users

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.578147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.578147Z digest=sha256:e6b7c9f55542f88b33d628eab7bd59c0f7fb70ebfc3089631280301aedd2b82d

Observation 1b669a69-781e-4628-ab56-f0fdb51d27a7 · outbound

This paper cites Autodroid: Llm-powered task automation in android,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Autodroid: Llm-powered task automation in android,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.582230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.582230Z digest=sha256:9add8bf40c23607fcb267eb3d2d3932cf734d0893aa4cae087289c50ad767251

Observation 1bc666bd-498c-40eb-8788-ddf72bd69599 · outbound

This paper cites DroidBot-GPT: GPT-powered UI Automation for Android.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents DroidBot-GPT: GPT-powered UI Automation for Android

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.585884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.585884Z digest=sha256:c73feb7596931113991514c2ba50920aecbcf2327fff4850ebe17fc2aeda8144

Observation 3f5ffa76-3f9a-434d-84b5-a95f043a6bfa · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Grounding dino: Marrying dino with grounded pre-training for open-set object detection,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.442685Z

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=2026-08-15T20:28:15.589783Z digest=sha256:cbf6e5ad9fb1406e3b8f7806262ca113e47617f75709c0895d3e02c09f91cc84

Observation 09b8ba84-0319-4d86-9eb7-afbefbba0689 · outbound

This paper cites Write automated tests with UI Automator,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Write automated tests with UI Automator,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.430588Z

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=2026-08-15T20:28:15.593370Z digest=sha256:4249c51037831a3f5787c8e99a650b0e4b5775a2ecc1bf3adc643eb59af1580d

Observation 274e3c43-4b4f-4be1-9b1d-b6e9cff2fcd1 · outbound

This paper cites Android Debug Bridge (adb) ,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Android Debug Bridge (adb) ,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.418097Z

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=2026-08-15T20:28:15.597002Z digest=sha256:96c2aa247aa95b769a0452b2475ec41b540d1b2420dd61d373cfa3bf5cfd07b7

Observation 3a8033bc-23ee-4921-b5af-eab63372d490 · outbound

This paper cites Optimization-based prompt injection attack to llm-as-a-judge,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Optimization-based prompt injection attack to llm-as-a-judge,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.600957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.600957Z digest=sha256:419b7c9586febe663308a65a83de92fe62b0f0c03c8e8e1fc1a84ca97ca01ea4

Observation b1f00ae2-781b-4f72-abab-92af79eb4b69 · outbound

This paper cites Formalizing and benchmarking prompt injection attacks and defenses,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Formalizing and benchmarking prompt injection attacks and defenses,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.604854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.604854Z digest=sha256:b90fa9d06a72e98563030224b10699e62286f55eaf90a617ff420e4989e6163e

Observation ff7fb288-4790-49d3-b453-fc9db4b7f447 · outbound

This paper cites ” do anything now.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents ” do anything now

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.608465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.608465Z digest=sha256:fa9d59cf6fc7bc3d3409e6871c6e8f6511267913415aed1ee4de30e9154e301e

Observation 42e77b37-bf50-44f5-8285-3f7ac23c551d · outbound

This paper cites {LLM-Fuzzer}: Scaling assessment of large language model jailbreaks,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents {LLM-Fuzzer}: Scaling assessment of large language model jailbreaks,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.382495Z

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=2026-08-15T20:28:15.612274Z digest=sha256:9cd9ab91209220f3917ff7f78f8c0f8a1c0ac0f3194cd9f233bcdacf723b4833

Observation e3a488a9-08e4-4e83-be21-3303c73d6a5e · outbound

This paper cites Don’t listen to me: understanding and exploring jailbreak prompts of large language models,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Don’t listen to me: understanding and exploring jailbreak prompts of large language models,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.616010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.616010Z digest=sha256:39507c3d74a3b139a5a20d3afc1dbdf2851e7a7a317bdb47fc62fb38798d2316

Observation f3460d6b-5fbb-4bf6-82e9-5ef7a87e7e05 · outbound

This paper cites An {LLM-Assisted}{Easy-to-Trigger} backdoor attack on code completion models: Injecting disguised vulnerabilities against strong detection,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents An {LLM-Assisted}{Easy-to-Trigger} backdoor attack on code completion models: Injecting disguised vulnerabilities against strong detection,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.365697Z

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=2026-08-15T20:28:15.619649Z digest=sha256:3de827cfded4411f0b9fed187fcf19723dd92ca29f67ae409fbfaa9f31f7043a

Observation 32a47015-a569-4aa5-b50b-7ec3950d7610 · outbound

This paper cites Instruction backdoor attacks against customized {LLMs},.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Instruction backdoor attacks against customized {LLMs},

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.623317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.623317Z digest=sha256:30858ae274729bb5b4da6765cb433f0cca1ab94e10acdece3b2c8b1ad36d9b7b

Observation be98797b-fa49-4604-9f72-c75ad89cd367 · outbound

This paper cites Glitch tokens in large language models: Categorization taxonomy and effective detection,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Glitch tokens in large language models: Categorization taxonomy and effective detection,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.348550Z

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=2026-08-15T20:28:15.626468Z digest=sha256:88c600ecaf1e7487bf51c24cd53d1b87843104b67753a17fdec11ec335a34548

Observation 40c2c32d-61ab-499e-a9ba-7d420c2898c2 · outbound

This paper cites Glitchprober: Advancing effective detection and mitigation of glitch tokens in large language models,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Glitchprober: Advancing effective detection and mitigation of glitch tokens in large language models,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.338541Z

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=2026-08-15T20:28:15.630415Z digest=sha256:830ec1d3325440bbda00f15cce838ce622153b159a4bb52f42ae6933132fe7ab

Observation 62ad4760-e87e-4304-9783-1806d5498815 · outbound

This paper cites Ui obfuscation and its effects on automated ui analysis for android apps,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Ui obfuscation and its effects on automated ui analysis for android apps,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.328239Z

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=2026-08-15T20:28:15.633841Z digest=sha256:948a7c205c26e118bc25f6add3189575297abbabe8bd8c24a17e14f7115b6ef4

Observation 4227b7ab-826c-4c79-bc27-a8da5b8e146d · outbound

This paper cites Detecting mobile application spoofing attacks by leveraging user visual similarity perception,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Detecting mobile application spoofing attacks by leveraging user visual similarity perception,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.316358Z

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=2026-08-15T20:28:15.637357Z digest=sha256:7b2ac144f214ef5cba0b460163f398d924029a8a1416d28ef62889c2fddf069e

Observation f1c757a8-4830-4704-9c09-b367060994a7 · outbound

This paper cites Android ui deception revisited: Attacks and defenses,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Android ui deception revisited: Attacks and defenses,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.304337Z

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=2026-08-15T20:28:15.640958Z digest=sha256:4ff1eee180292d19e164bbaf43e45a5565c14515d8712a803a2db52368c4bbf6

Observation 6f5d1b4c-fef7-4b20-92c4-590194f84cd6 · outbound

This paper cites Android ui deception revisited: Attacks and defenses,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Android ui deception revisited: Attacks and defenses,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.292635Z

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=2026-08-15T20:28:15.644616Z digest=sha256:98663a132ae5dca4eaa3b2fe33f6a720cc9a4f042986a79bc4d0ce66c566e9ac

Observation 725fe291-9228-409d-9280-f058a87c1d73 · outbound

This paper cites Trapped by the ui: The android case,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Trapped by the ui: The android case,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.276640Z

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=2026-08-15T20:28:15.647926Z digest=sha256:5ba94265c910c7ffbb53d899fba5d673e906111d839c76f6e1ec506600015f3f

Observation ffb6febc-83a2-4217-adc1-64c011e5dd59 · outbound

This paper cites Understanding and detecting overlay-based android malware at market scales,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Understanding and detecting overlay-based android malware at market scales,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.264079Z

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=2026-08-15T20:28:15.651314Z digest=sha256:1c903735d92c3bc010a0b57a410168a7e83fbabe4c70b17d220767eceef36015

Observation 0d4b1e30-1493-481a-8e4f-3d411b059650 · outbound

This paper cites Uncovering intent based leak of sensitive data in android framework,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Uncovering intent based leak of sensitive data in android framework,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.252857Z

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=2026-08-15T20:28:15.654857Z digest=sha256:a5286b376221892e927dcb4d8018b351322aba3e359d66477805f1a30c2aeaa2

Observation 03fbb4d0-1d8c-45cd-9b16-25d6630acf90 · outbound

This paper cites Improving android ap- plication security for intent based attacks,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Improving android ap- plication security for intent based attacks,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.242149Z

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=2026-08-15T20:28:15.658445Z digest=sha256:7430c5273de4c95eaaa055aff42b40a747d01d3fb3386dd2769e2397732ed3f8

Observation 394f7f91-bfcd-4f98-9fec-aa98c621edbd · outbound

This paper cites All your app links are belong to us: understanding the threats of instant apps based attacks,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents All your app links are belong to us: understanding the threats of instant apps based attacks,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.229795Z

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=2026-08-15T20:28:15.662214Z digest=sha256:33a786088fcbc5ee0190c17974ac3aadfcdf0e54d01a1d88804f4aa7a5605a56

Observation 5c04e7da-0152-40f4-80e5-96506681d227 · outbound

This paper cites Measuring the insecurity of mobile deep links of android,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Measuring the insecurity of mobile deep links of android,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.218243Z

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=2026-08-15T20:28:15.665747Z digest=sha256:17458415526f54aa942bfb3b37e9da44f16b01a8678d6d9063966ab185a714d7

Observation 053b905b-7910-4dff-aea8-eccced59d0a5 · outbound

This paper cites Born with a silver spoon: On the (in) security of native granted app privileges in custom android roms,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Born with a silver spoon: On the (in) security of native granted app privileges in custom android roms,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.206509Z

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=2026-08-15T20:28:15.669095Z digest=sha256:818d615b3e3798993146fd05797c128c56886295a0ba8befd1718a1938c86eb9

Observation 766d1b52-57ae-46b0-ad1b-5068891351a9 · outbound

This paper cites From logging to leakage: A study of privacy leakage in android app logs,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents From logging to leakage: A study of privacy leakage in android app logs,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.193395Z

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=2026-08-15T20:28:15.672997Z digest=sha256:470974c45a0a581c674201e1db77c5e11469ababb7eeb8a2d4d9a92ac8e285fb

Observation ea8b86cd-303f-4ae9-96c5-3ccdbf14cfa4 · outbound

This paper cites A comprehensive study of privacy leakage vulnerability in android app logs,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents A comprehensive study of privacy leakage vulnerability in android app logs,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.181163Z

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=2026-08-15T20:28:15.676732Z digest=sha256:27a05850d458b08f563245f7254df30f768f6800f87dae759bc0dfa8578f15ed

Observation 6c49d21e-223a-43e7-9924-9dc18488319f · outbound

This paper cites Sycophancy in Large Language Models: Causes and Mitigations.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Sycophancy in Large Language Models: Causes and Mitigations

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.680312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.680312Z digest=sha256:bb36fdef7718fe28736f47bc338b5c18df1857796d93fd42ca6140a5ce357cbf

Observation 374080c3-0f1f-4202-99ed-914d34b55aaa · outbound

This paper cites Simple synthetic data reduces sycophancy in large language models.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Simple synthetic data reduces sycophancy in large language models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.684426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.684426Z digest=sha256:1b2a13981ca9d9907ef38a1fe6b41942228bdc2dd45d5586b5178fcd5a421eb2

Observation 44a931f0-d291-419b-bea9-dc7ccf511792 · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Towards Understanding Sycophancy in Language Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.688950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.688950Z digest=sha256:b0e7e56cf92d2d7a33dfc51634032fc1536a2c07a2bae88d3f640474f949ea40

Observation 8ec1d1ad-cdd9-4628-ba75-0d56b58a67ec · outbound

This paper cites An- droidinthewild: A large-scale dataset for android device control,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents An- droidinthewild: A large-scale dataset for android device control,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.168305Z

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=2026-08-15T20:28:15.692918Z digest=sha256:b6a2da02cecb32f0476ab69d2e9bf6ddb984c49d815ef21c5e89e803c0b285a5

Observation 83268e89-bd71-4d98-aa78-ae2c38df0aa5 · outbound

This paper cites Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.696494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.696494Z digest=sha256:1d65c51330cde4e2072a69fba37751e6ba577ca32057818b52035d86599482f8

Observation de76ec75-0626-46b9-8d9c-f8b13b90315e · outbound

This paper cites Learn to Disguise: Avoid Refusal Responses in LLM's Defense via a Multi-agent Attacker-Disguiser Game.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Learn to Disguise: Avoid Refusal Responses in LLM's Defense via a Multi-agent Attacker-Disguiser Game

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:28:15.924686Z

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=2026-08-15T20:28:15.700106Z digest=sha256:ce7d39607e14255f5d4696e99c24e01c06c06f080a43323637b0120d1bb5006c

Observation 8b086e51-5a8c-4832-b089-acdd56d1a6bb · outbound

This paper cites Role play with large language models,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Role play with large language models,

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.703713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.703713Z digest=sha256:7a353e2a781a7e8a6b570872c375de3be9ba1a88433452dcd65bb1d97d02265e

Observation cdd899c0-d216-4dd2-bbbb-7f4a6cf82d8c · outbound

This paper cites Jailbreak Attacks and Defenses Against Large Language Models: A Survey.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Jailbreak Attacks and Defenses Against Large Language Models: A Survey

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.707065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.707065Z digest=sha256:61e7d9ce44ccff5b805e0b69a9a4aa9d3e34e51b0729081915bb4b1e1e90c048

Observation 246cf483-2772-4db7-b0d5-a60017ef997d · outbound

This paper cites Visiontasker: Mobile task automation using vision based ui understanding and llm task planning,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Visiontasker: Mobile task automation using vision based ui understanding and llm task planning,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:28:16.148542Z

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=2026-08-15T20:28:15.710469Z digest=sha256:25329263a2d9b219debfae1c85f9be95ec2150176d148599c2316af769c82324

Observation f1e1e46b-17b9-47e0-8f4c-92ba90b6df08 · outbound

This paper cites CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.713601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.713601Z digest=sha256:40a0653430f823c92174b4e0b0a876f5165b646e2ada2421dfa6862a866e9b9e

Observation 69f1c056-8462-48f2-8ede-907a72d98987 · outbound

This paper cites Appagent v2: Advanced agent for flexible mobile interactions,.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Appagent v2: Advanced agent for flexible mobile interactions,

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.717237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.717237Z digest=sha256:b086302ec775b16e5e07abf71eb8023b2b1d26399cbf9fe6d37af490ecf797b5

Observation 542e086c-a4d9-41a8-9bc9-e9ed69b80e83 · outbound

This paper cites Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.721141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.721141Z digest=sha256:0d3343bf70f87a5381842b4858aa6aca5fc9df6e84b5229fdbc9f7e61ca6a06b

Observation 0bbe92f2-0629-4b82-bf90-6bc58020dfb7 · outbound

This paper cites MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents MobileAgentBench: An Efficient and User-Friendly Benchmark for Mobile LLM Agents

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.724673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.724673Z digest=sha256:84ab72b9849e55bd74afafcb144b0d4f0d604d3bd017650c15d1059ded0ce69a

Observation 772e8640-5c0a-4d47-b2cd-beeddf026b6b · outbound

This paper cites UFO: A UI-Focused Agent for Windows OS Interaction.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents UFO: A UI-Focused Agent for Windows OS Interaction

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.728331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.728331Z digest=sha256:cd26a42463ee63f738b73fd77a3e0cb1630bdb1e102c91dd10d988196f029935

Observation 77f1591b-9d68-45c9-8afa-a0589bd56f6b · outbound

This paper cites ScreenAgent: A Vision Language Model-driven Computer Control Agent.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents ScreenAgent: A Vision Language Model-driven Computer Control Agent

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.732395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.732395Z digest=sha256:836c74457c5eaa2906c499f1d6e65d22227b662fdd88f1e41931f1b2081da233

Observation 0e437ce2-42e0-4020-b1e2-ce6696ae78fa · outbound

This paper cites Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale.

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-15T20:28:15.736267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:28:15.736267Z digest=sha256:e0545abf887cf8123b6700016e9194a5aec199e8cdea157a9e5e48d4f9190b48

Pith citing papers

Observation 17cc5d21-b88f-4424-a663-36f7f9b2cd75 · inbound

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents cites this paper.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:11:18.944034Z

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=2026-08-06T21:11:18.279076Z digest=sha256:5357c5fe15fe5877d29f5813340e325b73586fc1d8140d372204b23335dde331

Observation 42f0340d-d8d1-404f-971d-136ec7b942af · inbound

Measuring the Security of Mobile LLM Agents under Adversarial Prompts from Untrusted Third-Party Channels cites this paper.

Measuring the Security of Mobile LLM Agents under Adversarial Prompts from Untrusted Third-Party Channels From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-04T07:06:38.129664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:06:38.129664Z digest=sha256:7933614a337e0214858dd9d1d739e335c99087a1e8f6a49aaf723b670e59e2f6

Observation b390c2b4-9592-438b-8c59-46d23ed4cef4 · inbound

Mind the Gap: Action Rebinding Attacks against Android GUI Agents cites this paper.

Mind the Gap: Action Rebinding Attacks against Android GUI Agents From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T09:55:00.246179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:55:00.246179Z digest=sha256:56f77574b2373a5f589955625cbce976beae4ffe7284d5671232e66b9a345fa3