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Paper Citation Record · LEDGER

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2509.07933.

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

pith.paper-citation-record.v1
2509.07933 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:32:44.576017Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c6a8733-8d5e-47e9-9cae-d19ceb2d39d0 · outbound

This paper cites A risk estimation study of native code vulnerabilities in android applications,.

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation A risk estimation study of native code vulnerabilities in android applications,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:32:46.239542Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:32:43.204491Z digest=sha256:339728bda34d4699c9a29477b1e55f4f9e0e454865f0e07639f878666b4a78c5

Observation 1d0f864f-0c17-4655-8677-3d847272e801 · outbound

This paper cites Android custom permissions demystified: From privilege escalation to design shortcomings,.

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation Android custom permissions demystified: From privilege escalation to design shortcomings,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:32:46.028777Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:32:43.287484Z digest=sha256:74e5a22f590162df0babcaff610a79f505f6b967ea641cad36a1c4a3f19a3733

Observation 1b1a9753-9780-4477-b170-767b3d286e24 · outbound

This paper cites Cracking the core: Hardware vulnerabilities in android devices unveiled,.

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation Cracking the core: Hardware vulnerabilities in android devices unveiled,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:32:45.815623Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:32:43.389795Z digest=sha256:a4eaa28bccb8fbccbf6b21a3affda2d0abdeb4f22fbc285fea82d082a14bc317

Observation 562c5d6b-7a4a-47f9-b9de-1ad6999f65e8 · outbound

This paper cites PentestGPT: An LLM-empowered Automatic Penetration Testing Tool.

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation PentestGPT: An LLM-empowered Automatic Penetration Testing Tool

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T21:32:43.549316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:32:43.549316Z digest=sha256:0fc3b19f2abafef7a023f8bacb0df7dcdee2724b98053529b96bb7e085253c6d

Observation b1d0cf06-eb29-4eb7-88fc-4164882e2200 · outbound

This paper cites VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework.

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative Framework

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-04T21:32:43.644599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:32:43.644599Z digest=sha256:ab7564a62789ec25d560e79e36d2b9a5cec55e63435346570e3b1b601f7580bb

Observation 711e83a4-bc49-4f23-b41e-0e6b6f04e76e · outbound

This paper cites Generative ai for pentesting: the good, the bad, the ugly,.

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation Generative ai for pentesting: the good, the bad, the ugly,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:32:45.697639Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:32:43.744891Z digest=sha256:1ae29f7ffe18802e13a8c4dc3ee85066b86fc3ba06f0c55d7fb17f84f65c71cd

Observation 62134abc-4646-4b7d-b3c4-4283b6cbbb2a · outbound

This paper cites LLM Agents can Autonomously Exploit One-day Vulnerabilities.

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation LLM Agents can Autonomously Exploit One-day Vulnerabilities

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T21:32:43.875464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:32:43.875464Z digest=sha256:8e2b3f878ef88cbc6b3c94ef53ac48aae172252b134a875cb77a5c79e8576184

Observation ef9a28bb-001f-4841-bff0-db447eea715f · outbound

This paper cites Analyzing use of high privileges on android: an empirical case study of screenshot and screen recording applications,.

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation Analyzing use of high privileges on android: an empirical case study of screenshot and screen recording applications,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:32:45.535088Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:32:43.970145Z digest=sha256:656c56340130ab17ef2d849eff32582911da643cd9a5a62e8a961bd074d59136

Observation 453d265a-6a10-45dc-88c3-7c9fe6ecb218 · outbound

This paper cites Emulating the android boot process,.

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation Emulating the android boot process,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:32:45.358373Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:32:44.100429Z digest=sha256:13465df9569a4245a8fec25cc6b1b136f4f5ffd65b6120eae26406b9ee9413cd

Observation 773f870f-2d75-4675-8aa5-a8283c4c902a · outbound

This paper cites Llms as hackers: Autonomous linux privilege escalation attacks,.

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation Llms as hackers: Autonomous linux privilege escalation attacks,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T21:32:44.191421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:32:44.191421Z digest=sha256:0840b20b6f4ccbbf262b73de97f41344fdecf70c3d5c0bb48fd5a43a1a91c870

Observation a3e36294-0b09-4a37-996f-7dcf6ba94111 · outbound

This paper cites Getting pwn’d by ai: Penetration testing with large language models,.

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation Getting pwn’d by ai: Penetration testing with large language models,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:32:45.194714Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:32:44.285063Z digest=sha256:d7570197b6c70a747cfed4729c6ec6d38b7d5d82baf8fd8fe56bab16d2bc93df

Observation 43b3d057-e6df-428a-be4b-e9f3c7779d40 · outbound

This paper cites Automated vulnerability exploita- tion using deep reinforcement learning,.

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation Automated vulnerability exploita- tion using deep reinforcement learning,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:32:45.072659Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:32:44.457828Z digest=sha256:0781a041c264be54528f7471bfae8f312139207291debaeec761c8abe96ca24d

Observation 750fe4e7-cab2-4ed3-a25a-8c1bae03e3aa · outbound

This paper cites Pentest-ai, an llm-powered multi- agents framework for penetration testing automation leveraging mitre attack,.

Breaking Android with AI: A Deep Dive into LLM-Powered Exploitation Pentest-ai, an llm-powered multi- agents framework for penetration testing automation leveraging mitre attack,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:32:44.832829Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:32:44.576017Z digest=sha256:528d358281f48b210847161a69b60b814da0fab981e57e3b4cb865a90b244366

Pith citing papers

No inbound Pith citation observations are available.