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Paper Citation Record · LEDGER

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents

As of 20 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 4 inbound Pith citation observations for arXiv:2507.00841.

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

pith.paper-citation-record.v1
2507.00841 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:11:18.419497Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:32:12.095863Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:58:58.591719Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact1
  • verified fuzzy9
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d854ac20-d800-40e9-a9e8-81faae9421b0 · outbound

This paper cites Multimodal foundation models: From specialists to general-purpose assistants,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Multimodal foundation models: From specialists to general-purpose assistants,

Reference 1

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source=pdf_text observed=2026-08-06T21:11:18.159067Z digest=sha256:52f54bd5c4f758e5bbac182296302128c2c3db243133b3bffa77b59a2fbd1b60

Observation b9371e58-7bbd-4167-bce8-4a6dcc2f79aa · outbound

This paper cites Towards artificial general intelligence via a multimodal foundation model,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Towards artificial general intelligence via a multimodal foundation model,

Reference 2

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source=pdf_text observed=2026-08-06T21:11:18.164656Z digest=sha256:46fee810c0a12258702feded0460c156746822fb6a43da5c6aa91b8b3e614a7f

Observation 79381858-a62e-42ed-90c1-cb7cbae83105 · outbound

This paper cites HEMM: Holistic Evaluation of Multimodal Foundation Models.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents HEMM: Holistic Evaluation of Multimodal Foundation Models

Reference 3

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source=pdf_text observed=2026-08-06T21:11:18.169318Z digest=sha256:7a4953704d936ef9f5cdee6fbb828af5372045010d7c1c183f3f7540e830611e

Observation a05c567c-8b0c-417a-98aa-4e40f4cfc637 · outbound

This paper cites Multi-agent Architecture Search via Agentic Supernet.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Multi-agent Architecture Search via Agentic Supernet

Reference 4

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source=pdf_text observed=2026-08-06T21:11:18.175027Z digest=sha256:819bdcdf67b49bd3d9f95763dbe78981b9f277e5ac966484a7994401f0be790a

Observation c0687ca9-ff5d-4b49-8100-432751a1effa · outbound

This paper cites Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems

Reference 5

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source=pdf_text observed=2026-08-06T21:11:18.179806Z digest=sha256:885c8deb70fbfc1766bcbeed596b0194a951d4ec9eec0ace37cd7e2ef611e5c3

Observation 023d88d1-aa09-41cb-962b-7611c3a18a2c · outbound

This paper cites G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks

Reference 6

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source=pdf_text observed=2026-08-06T21:11:18.184856Z digest=sha256:0815dc346449a3fec603a308972c4189bb02d149b9c9fb6e9ea675f07d34eef6

Observation b438ebc6-52ae-409a-a544-a4776270ec1a · outbound

This paper cites A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

Reference 7

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source=pdf_text observed=2026-08-06T21:11:18.191017Z digest=sha256:319cc387e1725108ae8c46351d358f46aa19747387bf1097eac4fa1cd940c07d

Observation c168babd-f642-4501-9835-b8e7e38567d4 · outbound

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

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration

Reference 8

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source=pdf_text observed=2026-08-06T21:11:18.196423Z digest=sha256:f1b0d6089b604a4518f46a3aef85b4d59a2bed7305cd4be8c985ab2647148e06

Observation 0c701e6c-f11a-4409-abbd-6a26340c3380 · outbound

This paper cites Mobilegpt: Augmenting llm with human-like app memory for mobile task automation,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Mobilegpt: Augmenting llm with human-like app memory for mobile task automation,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T21:11:18.201890Z digest=sha256:a7f410a4fc3f7532f48b91f13f586925f182a6644eb0a23e4644a5ca9c6fdd74

Observation 5cc6c708-016c-4949-8c38-c14ae10b85ed · outbound

This paper cites MobileExperts: A Dynamic Tool-Enabled Agent Team in Mobile Devices.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents MobileExperts: A Dynamic Tool-Enabled Agent Team in Mobile Devices

Reference 10

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source=pdf_text observed=2026-08-06T21:11:18.207157Z digest=sha256:1c4e12c434721dc76dfbab0ee2acb481e7a8a5316dfc6c80ed5c77fee765291d

Observation 406bf775-53f4-4151-8833-e7c7a35018d9 · outbound

This paper cites A survey on evaluation of large language models,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents A survey on evaluation of large language models,

Reference 11

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source=pdf_text observed=2026-08-06T21:11:18.212372Z digest=sha256:260b7cbcc3d7cac68ead8fc89a10b1245f7efcdfc46c8b518e82182b5fc33710

Observation fe56039b-5193-4512-87b2-1a86cf2d14bb · outbound

This paper cites A Comprehensive Overview of Large Language Models.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents A Comprehensive Overview of Large Language Models

Reference 12

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source=pdf_text observed=2026-08-06T21:11:18.217493Z digest=sha256:c198717d67211dd3036aced3051a41aca2fee836a8387646978d30fd5754970a

Observation 667e004a-1aaf-4620-82b6-ff1b3d6d6ffe · outbound

This paper cites Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt

Reference 13

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source=pdf_text observed=2026-08-06T21:11:18.221976Z digest=sha256:2cf142b1a0a59c57788ed32b3221a905795f5eb5f08cd53f363649e37f4b29d8

Observation e1e25b99-e242-43f9-bde2-b85856d93b34 · outbound

This paper cites Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Semantic Mirror Jailbreak: Genetic Algorithm Based Jailbreak Prompts Against Open-source LLMs

Reference 14

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source=pdf_text observed=2026-08-06T21:11:18.227024Z digest=sha256:fce11bcfd7c10a3d14e4bf95ee6d9b429fbb550f7084bd65f5eab16f9a9c7df6

Observation af2ac908-4dea-4d09-bbf9-0da22722e0bc · outbound

This paper cites CogMorph: Cognitive Morphing Attacks for Text-to-Image Models.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents CogMorph: Cognitive Morphing Attacks for Text-to-Image Models

Reference 15

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source=pdf_text observed=2026-08-06T21:11:18.231476Z digest=sha256:3558dd0d0b78b030fab1d433d71f461ad0f020b40e80219f08a155efea9975c7

Observation bbd4317b-861f-4e89-a59c-5a7e837295f4 · outbound

This paper cites SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models

Reference 16

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source=pdf_text observed=2026-08-06T21:11:18.236611Z digest=sha256:cff72c2780b058c9bf5513479581d7513bb99deecf0464716a4def6886f94433

Observation c1c3a9ee-8bc7-42cb-b0c3-2da3b1a909c2 · outbound

This paper cites AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

Reference 17

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source=pdf_text observed=2026-08-06T21:11:18.241641Z digest=sha256:4059258149f2a3e9cf1292591f1d965871e6aaa62fa5567bcf88c37feaa1407f

Observation 3ab5dd33-7b72-478c-8828-a72b8a526888 · outbound

This paper cites On the Role of Attention Heads in Large Language Model Safety.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents On the Role of Attention Heads in Large Language Model Safety

Reference 18

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source=pdf_text observed=2026-08-06T21:11:18.246898Z digest=sha256:024bfd8d62fe3bfc9d5f4f48dcc2a03ddfd336c826a5b5108c0b2a72c850a1e1

Observation 4ec67418-7368-4711-ae4c-87b048c4808a · outbound

This paper cites Safety in Large Reasoning Models: A Survey.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Safety in Large Reasoning Models: A Survey

Reference 19

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source=pdf_text observed=2026-08-06T21:11:18.251385Z digest=sha256:70ffcaf77fa1b9dad260eeea10105c16e5b88fc959246873319ed354a54f7ea4

Observation dbe74690-1c5c-4bc5-a40f-4d563f20d2b0 · outbound

This paper cites G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems

Reference 20

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source=pdf_text observed=2026-08-06T21:11:18.256492Z digest=sha256:39c54ef417b060dcc8d24caa25f782b21ce3ec62238d83f8ee8cd3f215c15f08

Observation c0ef321c-e090-4cdd-9fc2-cb1b5c5587c2 · outbound

This paper cites A Survey on Trustworthy LLM Agents: Threats and Countermeasures.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents A Survey on Trustworthy LLM Agents: Threats and Countermeasures

Reference 21

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source=pdf_text observed=2026-08-06T21:11:18.260987Z digest=sha256:4404996e1c240231ae186838b7d12a545eb63ae20229d602c07703e8910908e5

Observation da2ef240-28d7-4ba6-8ef3-ca316fe88bb3 · outbound

This paper cites Badclip: Dual-embedding guided backdoor attack on multimodal contrastive learning,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Badclip: Dual-embedding guided backdoor attack on multimodal contrastive learning,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T21:11:18.265371Z digest=sha256:6747e45921c3b067ff190dc08784e8797b1832718fb2030a2c20ecae89fa0c60

Observation 99a98ead-e50d-4f63-97b6-bd16d713a229 · outbound

This paper cites Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models

Reference 23

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source=pdf_text observed=2026-08-06T21:11:18.269535Z digest=sha256:7619b27aea5058433b297c9e88be5aa961d1e06c25073c2b88f57da3bec53470

Observation e411e200-a6e7-4bc5-b66c-ba2943ee8641 · outbound

This paper cites Vl-trojan: Multimodal instruc- tion backdoor attacks against autoregressive visual language models,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Vl-trojan: Multimodal instruc- tion backdoor attacks against autoregressive visual language models,

Reference 24

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T21:11:18.273892Z digest=sha256:ea9cfc384e5dab1795a3b2a6bdf02776da3d69f9f27479cc37e9749e2f01c2ee

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

This paper cites From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents.

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

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source=pdf_text observed=2026-08-06T21:11:18.279076Z digest=sha256:edf997df1cf8b34da562c5f2c6e831df7143b591f3244611242e08981059ec7d

Observation 0a12891e-6e68-4909-a568-a90b939a7856 · outbound

This paper cites Rico: A mobile app dataset for building data-driven design applications,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Rico: A mobile app dataset for building data-driven design applications,

Reference 26

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T21:11:18.284238Z digest=sha256:2da8508eacd697c4d481ed139ae699ccd8860321fbe3cdb9b066a0fc3c252d39

Observation 9b08102a-965f-451c-96c4-41e631ce0041 · outbound

This paper cites Theoretical analysis of kl-regularized rlhf with multiple reference models,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Theoretical analysis of kl-regularized rlhf with multiple reference models,

Reference 27

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source=pdf_text observed=2026-08-06T21:11:18.289049Z digest=sha256:779895793ccd39a794045a14976e31f9ce4732a03aef0ea941284fb408242e98

Observation dd3f55c4-0321-4163-ac4a-258f0b3445aa · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 28

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source=pdf_text observed=2026-08-06T21:11:18.293844Z digest=sha256:3ab1549a429e70fd1b13fc5ced58ca513ef87999b5153bcf457b913f4d59f7ec

Observation 11213979-cfc9-444d-a231-6100890f1019 · outbound

This paper cites Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

Reference 29

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source=pdf_text observed=2026-08-06T21:11:18.299379Z digest=sha256:5b5eb496fff9d27510c4d5bbcf7f537ddb1c79ed02ea51b04774cebd748eed3a

Observation c3ca2522-a8b8-4d8d-a2ef-881fc3393e21 · outbound

This paper cites Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study

Reference 30

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source=pdf_text observed=2026-08-06T21:11:18.304909Z digest=sha256:72415ea1c1fac2f9e4fd1fa3a12789c19741fce9c6f9f30cb927ba4467a5a3f3

Observation eb2b51fe-df35-4eb6-9cc2-452c0dc66de3 · outbound

This paper cites GPT-4 Technical Report.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents GPT-4 Technical Report

Reference 31

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source=pdf_text observed=2026-08-06T21:11:18.309572Z digest=sha256:2a5df08e6a1569bc0a91c39529386e8b9b4b052d3169370f2c5e64e9ecddcc07

Observation 5cc4cec0-cf9e-40ee-94ab-48ec1a5a7663 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents LLaMA: Open and Efficient Foundation Language Models

Reference 32

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source=pdf_text observed=2026-08-06T21:11:18.313818Z digest=sha256:8631ac3e75dbf239e0c9f01398f4c063c78044c389921675438636a1c54a06a2

Observation 26801bb9-22f3-407b-beb8-cd8f0ba2e3dd · outbound

This paper cites Mis- tral: Dynamically managing power, performance, and adaptation cost in cloud infrastructures,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Mis- tral: Dynamically managing power, performance, and adaptation cost in cloud infrastructures,

Reference 33

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T21:11:18.318202Z digest=sha256:1ff0a6c5b10c716fea7c6e89657c9d6c8ba67df68992fea02becc705b835a1ce

Observation e3f0a748-edfc-40a0-b0fe-51019989b903 · outbound

This paper cites Qwen Technical Report.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Qwen Technical Report

Reference 34

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source=pdf_text observed=2026-08-06T21:11:18.322708Z digest=sha256:39e2bf5fc1326ad12d6f0fcdd43128fe7563e979960e9487e1b2c405a0b26ad3

Observation 7ef7b3c3-c895-48ea-9f19-26bfdb36e38a · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Gemma: Open Models Based on Gemini Research and Technology

Reference 35

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source=pdf_text observed=2026-08-06T21:11:18.327905Z digest=sha256:cef9b943b30bfba7e553a5a9cae7d622b2bd328052a9f30287b365bf74d36cb7

Observation 5cc399d5-41ee-49e4-ae77-583c1eef39d3 · outbound

This paper cites an unresolved cited work.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Unresolved cited work

Reference 36

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raw_fallback, observed 2026-08-06T21:11:19.408432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T21:11:18.333330Z digest=sha256:478da9a2d28d455ad8de693b11ce55e3a93090e440ae227d2aebc93b833eece6

Observation 0d2b9b01-3afe-4da7-9ddb-f610378a99c1 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Gemini: A Family of Highly Capable Multimodal Models

Reference 37

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no resolver link, observed 2026-08-06T21:11:18.337724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.337724Z digest=sha256:b3d22fc51e26609fc4f9a9be0c17d91686d8a0b2f7a10489fdf1495a40bad485

Observation 579c4326-c330-4b13-9ace-81ca145f159c · outbound

This paper cites DeepSeek-V3 Technical Report.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents DeepSeek-V3 Technical Report

Reference 38

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no resolver link, observed 2026-08-06T21:11:18.342213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.342213Z digest=sha256:ccaa6374ac92e166d7d5cde770f2d4b2bb8cc25a4826cc69ae118bc59650163c

Observation 6cba9069-851e-4876-93eb-de688730f647 · outbound

This paper cites Appagent: Multimodal agents as smartphone users,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Appagent: Multimodal agents as smartphone users,

Reference 39

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no resolver link, observed 2026-08-06T21:11:18.347233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.347233Z digest=sha256:f09001a9823040c8672c0e218f2b8c1069453a55f0a672f4dc20aca86da504f0

Observation 26534201-1a96-433b-92bc-483bad5702ae · outbound

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

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Autodroid: Llm-powered task automation in android,

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-06T21:11:19.380077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T21:11:18.351614Z digest=sha256:0cea1bb2e91176edc001f985e4fa3b1a3f439e5db9c81d2b09c7deea1a7320be

Observation 936a4b81-adda-44eb-b640-f8070c2413cb · outbound

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

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents DroidBot-GPT: GPT-powered UI Automation for Android

Reference 41

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no resolver link, observed 2026-08-06T21:11:18.356480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.356480Z digest=sha256:45fb43eb529527565cc0bbc1a31dd00e2409cc92677076c83107adc04926b2cb

Observation 48d8b35c-0eb5-48b9-90ac-7d9ddacfdd76 · outbound

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

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation

Reference 42

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no resolver link, observed 2026-08-06T21:11:18.361907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.361907Z digest=sha256:da47ccab2359b69d1893223dd04acf2c95bb40fd979b5e7c0ba978c062cca4c3

Observation 7d4616db-bd25-4416-9d4e-8a7fec0c8bd7 · outbound

This paper cites LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark

Reference 43

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no resolver link, observed 2026-08-06T21:11:18.366808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.366808Z digest=sha256:bcb98a6c469b8216ea0709a1f0285548bf91bef25beec97ab9d75c91278acb51

Observation 34bcb531-44d5-44b4-b1fa-97e2047b5026 · outbound

This paper cites MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users

Reference 44

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no resolver link, observed 2026-08-06T21:11:18.371502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.371502Z digest=sha256:94d806f5081793c18874587748950db34d9499f3c2913ff953ac46dd3630f5a5

Observation c3ff140a-fc9a-4c15-8714-ae237dc91a58 · outbound

This paper cites Advancing mobile gui agents: A verifier-driven approach to practical deployment,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Advancing mobile gui agents: A verifier-driven approach to practical deployment,

Reference 45

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no resolver link, observed 2026-08-06T21:11:18.376080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.376080Z digest=sha256:dc611aa6901d439ddbef3c2d409d83a831f4125cfe560ef23d444b75d3644e5d

Observation 8de1ea38-995d-4b38-a9f9-bd77082c4c72 · outbound

This paper cites Adversarial training for multimodal large language models against jailbreak attacks,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Adversarial training for multimodal large language models against jailbreak attacks,

Reference 46

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no resolver link, observed 2026-08-06T21:11:18.380412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.380412Z digest=sha256:c8bcfd668d0e544c640fbf44e6751cc42c4aae280c80ae8e72d9b3418fc94423

Observation 0334c2b0-ce0c-4df3-8685-b277757b0305 · outbound

This paper cites T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video Models.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video Models

Reference 47

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no resolver link, observed 2026-08-06T21:11:18.384644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.384644Z digest=sha256:90c370d9565621149fd9ce29512ab3af7a5d2d4a16783cebda01684744e6caaa

Observation e62e0738-dd3a-4849-a3c9-4e97dab12016 · outbound

This paper cites Systematic Categorization, Construction and Evaluation of New Attacks against Multi-modal Mobile GUI Agents.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Systematic Categorization, Construction and Evaluation of New Attacks against Multi-modal Mobile GUI Agents

Reference 48

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metadata mismatch
local_arxiv, observed 2026-08-06T21:11:18.508107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T21:11:18.389891Z digest=sha256:436e30a5a924159b1ee5e45bc3c4b0d284593545e50f23ea52a61554f01b0231

Observation 22c84498-ae68-4ee2-8d63-3a2b1ba9c841 · outbound

This paper cites Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments,

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-06T21:11:19.362586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T21:11:18.394933Z digest=sha256:157dcf7437984caa65dcc302946a25318c9be79d282abdeafbce29bbcbe142fa

Observation c6f89e65-b4f7-4481-9c26-eca4875be3c4 · outbound

This paper cites Webshop: Towards scalable real-world web interaction with grounded language agents,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Webshop: Towards scalable real-world web interaction with grounded language agents,

Reference 50

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no resolver link, observed 2026-08-06T21:11:18.400008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.400008Z digest=sha256:19db136e393067fa4cd643da4abca173d0c9fb4b323ceff33a3286e484497d09

Observation d3a27180-635a-4ac6-b828-1becd0260233 · outbound

This paper cites Mobile-Env: Building Qualified Evaluation Benchmarks for LLM-GUI Interaction.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Mobile-Env: Building Qualified Evaluation Benchmarks for LLM-GUI Interaction

Reference 51

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no resolver link, observed 2026-08-06T21:11:18.404873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.404873Z digest=sha256:06e24a0f9ef33ad0971ed359b66e68e2dd8389660090c0aa124a27374ba1438d

Observation 006174bb-5f56-4930-8cdd-21ba4d173eb4 · outbound

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

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents

Reference 52

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no resolver link, observed 2026-08-06T21:11:18.409630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.409630Z digest=sha256:e78949b5fc7155065de35981dfe947319a886d312c91531050063fa82a139394

Observation a03d62ba-bf55-498e-a976-a0e5aac5f545 · outbound

This paper cites Spa-bench: A comprehensive benchmark for smartphone agent evaluation,.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents Spa-bench: A comprehensive benchmark for smartphone agent evaluation,

Reference 53

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no resolver link, observed 2026-08-06T21:11:18.415107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.415107Z digest=sha256:e31f4ad265ef885b6d2541cbae9884efbfa505cc7c7dded67e22ac6d9db0022a

Observation 7e132520-222a-414d-82c6-cbf8af697334 · outbound

This paper cites WebWalker: Benchmarking LLMs in Web Traversal.

SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents WebWalker: Benchmarking LLMs in Web Traversal

Reference 54

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no resolver link, observed 2026-08-06T21:11:18.419497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:11:18.419497Z digest=sha256:d822a66af7e9965d6bad38eb2b334e1ddaacfeaf9911f01adb6e751c54dfb77e

Pith citing papers

Observation 611200dc-a5da-442e-99ec-c4025377d53e · inbound

Memory Enhanced Fractional-Order Dung Beetle Optimization for Photovoltaic Parameter Identification cites this paper.

Memory Enhanced Fractional-Order Dung Beetle Optimization for Photovoltaic Parameter Identification SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents

Reference 29

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no resolver link, observed 2026-08-05T22:32:12.095863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:32:12.095863Z digest=sha256:c0cc62045058711a7b7458e05a4b1db915a57c1eb10ce54f487bd16962b71015

Observation 23c60d0b-e663-4b30-85cf-4e4b48bddf43 · inbound

GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic cites this paper.

GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents

Reference 51

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verified exact
arxiv_id, observed 2026-05-12T05:21:27.515467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-12T05:17:42.003708Z digest=sha256:33a2056fc16564e2eedb76b8b72be35d0da029d8324e1b1a814ea7b84a1917fc

Observation 4af0f3b1-729e-4ac4-9570-ca4251400d23 · inbound

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution cites this paper.

PhaseWin: An Efficient Search Algorithm for Faithful Visual Attribution SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents

Reference 9

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metadata mismatch
arxiv_id, observed 2026-07-03T20:58:58.593211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T00:57:24.855665Z digest=sha256:5797a358bc99cb61238ed23f22e906acc82b98f5738a51dd4584fa0183cdbdf0

Observation f74f5399-fa55-4c79-84b4-80fac88627d6 · inbound

It Lied to a Doctor to Buy Poison Ingredients: Quantifying Real-World Misuse of Phone-use Agents cites this paper.

It Lied to a Doctor to Buy Poison Ingredients: Quantifying Real-World Misuse of Phone-use Agents SafeMobile: Chain-level Jailbreak Detection and Automated Evaluation for Multimodal Mobile Agents

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:25:57.684093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T02:04:51.936838Z digest=sha256:2e80c94948930f0430c783def36b8a9a2909354987ffe4a33f7056683bd36f96