Paper Citation Record · LEDGER

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

As of 21 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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.

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.

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 2026-08-21T06:32:19.484+00:00.

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.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

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 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.