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Paper Citation Record · LEDGER

ATAG: AI-Agent Application Threat Assessment with Attack Graphs

As of 17 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2506.02859.

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

pith.paper-citation-record.v1
2506.02859 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:18:55.535553Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:11:22.454449Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

  • verified exact2
  • verified fuzzy37
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c63fffae-d1ed-4030-9e9e-6550ad9bb90f · outbound

This paper cites Language models are unsupervised multitask learners,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Language models are unsupervised multitask learners,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:48.674343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:48.674343Z digest=sha256:0b249d432b6a258ff5a332a38db1a53df87de06868fd71d86b0b5b86beb50a78

Observation f0441c7a-9c19-4a8d-9f6f-9c8a6a617130 · outbound

This paper cites Language models are few-shot learners,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Language models are few-shot learners,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:48.780703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:48.780703Z digest=sha256:3b3db01e6ac755699b131608858fb971718a51c4423a16a66b6d107a857177ed

Observation b8eeb21e-2ff7-4e49-a254-245bc5c580ef · outbound

This paper cites GPT-4 Technical Report.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs GPT-4 Technical Report

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:48.928939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:48.928939Z digest=sha256:9f30102fff735d10469fdd4d902e6af477c5ebdf8dae4bc72462725a38484612

Observation 52412f7a-03e4-464e-8fbd-6b9f8f81b4df · outbound

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

ATAG: AI-Agent Application Threat Assessment with Attack Graphs LLaMA: Open and Efficient Foundation Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:49.085249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:49.085249Z digest=sha256:268f8ed53dbfdc863c7d8062349fa42b3c48134d5bd4b6766343d2df62ce2558

Observation 8c90f604-8042-4f09-b31c-3127cb595528 · outbound

This paper cites Claude 3 Model Card,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Claude 3 Model Card,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:05.501190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:49.210303Z digest=sha256:817eb17d8eb5f932ce1bfde025f23f07a367ad194b076c15d74ccf5a7870cc04

Observation dc832f8b-ee1f-48c9-aad9-289309528233 · outbound

This paper cites A survey on large language model based autonomous agents,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs A survey on large language model based autonomous agents,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:49.296587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:49.296587Z digest=sha256:d7c74060a3d768028995e6249f15ddb9fa0d067c1b0890fd5bf7fc50ac9777a3

Observation 0d6977d2-d81f-4744-b681-e7b6340cf7da · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:49.400413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:49.400413Z digest=sha256:ce1f7c2d5956a8f33f40e26bffa31bfb9048ac9e5fa0a81ea4bbb83c804666a1

Observation 58030831-e7eb-46ec-aacb-4950a66418fa · outbound

This paper cites LangChain: Build AI apps with LLMs through composability,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs LangChain: Build AI apps with LLMs through composability,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:05.275361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:49.505512Z digest=sha256:601992ef19e8561f44e78d847ab6ad9b8138133e1efcb3cbe310b4c6a7d0e284

Observation bbb90895-17c1-4554-9e9b-1c6347d8abfd · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:49.618134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:49.618134Z digest=sha256:cae905ec9d81f8f5c548b2b026a8039f79c3d88805d683df1845c4ce461c3614

Observation 75d7ce63-e997-4bb7-88dc-2338a60c56b7 · outbound

This paper cites Mulval: A logic-based network security analyzer.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Mulval: A logic-based network security analyzer

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:05.063110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:49.695176Z digest=sha256:2b5ed6e3acf516d6198e27263d65677d14d2ceee9debea54e76cff63a86af28f

Observation e36a6302-7e41-49a9-bb43-389c808f5390 · outbound

This paper cites A scalable approach to attack graph generation,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs A scalable approach to attack graph generation,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:49.820335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:49.820335Z digest=sha256:dab7fa25528eaa5be4483379df322d4b4de5099e4f2d8b6fff2d0e9d1626c903

Observation 9c1d6ce0-70b9-4c8c-9eb1-ea9be44002b6 · outbound

This paper cites From attack graphs to automated configuration management-an iterative approach,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs From attack graphs to automated configuration management-an iterative approach,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:04.788938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:49.949489Z digest=sha256:2b0960bfdaee86b8e39420c5ec0bcc53e7a3419280da096cd20e03a7ebde9e01

Observation 9ca26995-f4bc-497b-ad74-276c25caa19e · outbound

This paper cites Ou and A.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Ou and A

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:04.545803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:50.147494Z digest=sha256:89d2f229389b6d4c0bda8347a1367017310ad29e45b4e9ef505a225db975be4f

Observation ed891b79-6dcf-4fd5-8d3c-ad15154cc1d0 · outbound

This paper cites Securing the supply chain for commodity it devices by automated scenario generation,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Securing the supply chain for commodity it devices by automated scenario generation,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:04.286718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:50.298247Z digest=sha256:e51808b61c217a7c7a336918ee4e322604a651722ff0ac23fc4028148a3d7376

Observation fb3d129d-8a1f-4259-962d-abea7ffe2a90 · outbound

This paper cites Augmenting attack graphs to represent data link and network layer vulnerabilities,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Augmenting attack graphs to represent data link and network layer vulnerabilities,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:04.067304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:50.454148Z digest=sha256:f80a2b75040ffefd8b7f83c3a7d78da405389befd41a2b4ad4bf056a6cac5bca

Observation ca34c6a1-94b4-4738-9df4-2b095c21ac19 · outbound

This paper cites Extending attack graphs to represent cyber-attacks in communication protocols and modern it networks,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Extending attack graphs to represent cyber-attacks in communication protocols and modern it networks,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:03.940406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:50.589951Z digest=sha256:9ed3800866b4d00bf76447a791c16aefc7ab31687c416249894884ca2fc74455

Observation 7052f5ed-fd6b-4c5e-95f2-4c4706160ba2 · outbound

This paper cites Inferring the stealthy bridges between enterprise network islands in cloud using cross- layer bayesian networks,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Inferring the stealthy bridges between enterprise network islands in cloud using cross- layer bayesian networks,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:03.766737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:50.753676Z digest=sha256:ae72cff035f8b7ae818dba74eac90e41e8737d030fdecdfbfbe5191063c03ce0

Observation a680d97c-4469-47f2-87df-c4ed4b50b361 · outbound

This paper cites Generation and dynamic update of attack graphs in cloud providers infrastructures,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Generation and dynamic update of attack graphs in cloud providers infrastructures,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:03.540924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:50.940100Z digest=sha256:9b56bb3f9a181de8d8e264f9d0f5368a3727ba4d23d53052c76a0cfbfc7728a4

Observation f22a145f-8024-4557-b84e-2ac7afba0836 · outbound

This paper cites Computer-aided human centric cyber situation awareness,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Computer-aided human centric cyber situation awareness,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:03.320321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:51.089724Z digest=sha256:141fbe4e2e01e717766dfc3c7b3c6049550a97dcee4d1bbaa0132812840060bb

Observation 17f92936-051d-4945-9947-08347229e2e0 · outbound

This paper cites Coral: Container online risk assessment with logical attack graphs,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Coral: Container online risk assessment with logical attack graphs,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:03.055511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:51.195328Z digest=sha256:a1135d0c0968545f532d90c0e211674efd7433b69732427a90c8a801cb9cce32

Observation b049d9b6-b4da-4a18-9e50-d280dd20a4f2 · outbound

This paper cites Survey of different large language model architectures: Trends, benchmarks, and chal- lenges,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Survey of different large language model architectures: Trends, benchmarks, and chal- lenges,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:02.851632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:51.322376Z digest=sha256:7fa3c8edabf2500f6c476c781d35fbb53f84629f2b5762f0271ff5ea5a449f8f

Observation 744f0259-4a33-4805-9d8f-8ea278418d29 · outbound

This paper cites LangGraph: Building language agents as graphs,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs LangGraph: Building language agents as graphs,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:02.643299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:51.464218Z digest=sha256:e9f5941583e4be2dee4cfbb30346c5eafd54900c486c1065a2056a857655cbb6

Observation e281dc25-700f-413d-b83a-a1f727507a88 · outbound

This paper cites crewAI: Cutting-edge framework for orchestrating role-playing, autonomous AI agents,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs crewAI: Cutting-edge framework for orchestrating role-playing, autonomous AI agents,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:02.498207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:51.577998Z digest=sha256:110adfb78e370e823b13507cd94e4fbb35479b3a9811021cae8519b6bff350a6

Observation 737f5dec-e96e-4a1b-8698-3cc5b7f78409 · outbound

This paper cites crewAI Examples,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs crewAI Examples,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:02.276450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:51.694702Z digest=sha256:48bae0b3e562a90dd6ad8a59bc021993ad292e08955eb56bd2df8efbc5a71124

Observation f36dea29-b774-4d34-b8c7-d848dd70c2b8 · outbound

This paper cites Autogen 0.2 Examples,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Autogen 0.2 Examples,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:02.045953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:51.831061Z digest=sha256:9d37344e623db83e5c540a20491da54d3206e656cd285cee008b0a45cab773da

Observation 973a10ca-a6af-4bb4-ba20-703716346497 · outbound

This paper cites LangGraph Examples,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs LangGraph Examples,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:01.797617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:51.952409Z digest=sha256:8fd5c754bdf7360dce4d7752e540dee0e618954a2f678f62d2cc00147fb1ce5f

Observation f97c28d9-ba4a-41a4-9f3c-cafe4325eb48 · outbound

This paper cites Llm security alignment framework design based on personal preference,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Llm security alignment framework design based on personal preference,

Reference 27

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T11:18:56.674641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:52.053705Z digest=sha256:d1a61ae8629f50764b8257c38d58c69517df7f36d7727b25468a56ecda0a3f37

Observation 5026185b-a223-470a-bde8-d2f84acca9a0 · outbound

This paper cites Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:52.176666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:52.176666Z digest=sha256:6c80b414deb4ccc4c69e0cb6de37e0087b5e5c5c9eb363faacf14116cd0c8846

Observation ab045007-7e8b-439b-9cac-ca931c546b99 · outbound

This paper cites Jailbroken: How does llm safety training fail?.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Jailbroken: How does llm safety training fail?

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:01.520593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:52.289961Z digest=sha256:63863b675ab0ac899f7ee7ea1e88c3cf5d6ce941a0e1a08eeb1f7639b100da63

Observation cd262355-7ecb-434e-b300-facc1e862685 · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Prompt Injection attack against LLM-integrated Applications

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:52.408113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:52.408113Z digest=sha256:07cc6f748aab5b84349803ea54bed3610ad40883717cc785c0ac3618d491e1cf

Observation 394989b3-4609-4313-93d3-dbd905f88339 · outbound

This paper cites Universal and transferable adversarial attacks on aligned language models, 2023,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Universal and transferable adversarial attacks on aligned language models, 2023,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:01.274640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:52.543147Z digest=sha256:ca2b07be29142ff47ee6a0f9ca02f8e4218ad9a9a167c9e6da300a57cfdac644

Observation f2f97a6d-e7a4-4b73-8754-fdce16afb0ef · outbound

This paper cites Using Hallucinations to Bypass GPT4's Filter.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Using Hallucinations to Bypass GPT4's Filter

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:18:56.369783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:52.685303Z digest=sha256:27ec0758a682b93053311384a86a5c841368158b2f38ac674d3bae875a46b9ac

Observation d3d5875b-538e-4ed5-9955-c2dd2783a3b0 · outbound

This paper cites Why are web ai agents more vulnerable than standalone llms? a security analysis,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Why are web ai agents more vulnerable than standalone llms? a security analysis,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:52.842202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:52.842202Z digest=sha256:e16420b7c9f6c8dba3fe8122e6583751909d3ba8621eddbf09a6e5d37f0e26d5

Observation 26c41731-6142-4277-a271-023708ecbe4b · outbound

This paper cites Causal knowledge analysis for detecting and modeling multi-step attacks,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Causal knowledge analysis for detecting and modeling multi-step attacks,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:01.055292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:52.943526Z digest=sha256:ce1874002ba6760202218baad73a9e9b49b77444efb62bf86d4b4a55d5370025

Observation b72fb89b-26e4-45a5-8c75-d37c8c5f91c2 · outbound

This paper cites A survey on the usability and practical applications of graphical security models,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs A survey on the usability and practical applications of graphical security models,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:00.836113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:53.076098Z digest=sha256:8c253f94a04ac0d0e9ecb6bc18ce750248d9e8a923997c5d78024a052c341e8c

Observation 107e4ee6-1d28-406b-8ceb-2957d8356f20 · outbound

This paper cites Ou and A.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Ou and A

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:00.596910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:53.200626Z digest=sha256:727fdfa8a7fa98adb59180ff331254639b7fb2e5e057c96600452a296448dfb4

Observation 0340ff0e-8e21-4ea0-9853-0eaca49fa59c · outbound

This paper cites Automated vul- nerability testing via executable attack graphs,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Automated vul- nerability testing via executable attack graphs,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:00.389908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:53.336873Z digest=sha256:0faab9962d729027ad81b57b5618431d287252bc8ccb5158f4105c216cdb104d

Observation 6f5ef271-20c2-48a4-a4a1-bb8344c9138e · outbound

This paper cites Cvss-based multi-factor dynamic risk assessment model for network system,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Cvss-based multi-factor dynamic risk assessment model for network system,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:19:00.118295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:53.439201Z digest=sha256:518a05a40ae199091c8da941fb36a2def689bafa46048da393731e7f2f5599b2

Observation 8e023437-6ee7-4f2b-a3a3-9aa68bcc67ef · outbound

This paper cites Overview on attack graph generation and visualization tech- nology,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Overview on attack graph generation and visualization tech- nology,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:59.919064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:53.565165Z digest=sha256:5603485da3f49e8933d8bb275de523901089d448ba5c2a72d0a1e53fe305eb45

Observation 3ff6e752-ae18-4c06-869b-921f484d4299 · outbound

This paper cites A systematic study for understanding the security risks in 5g core network,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs A systematic study for understanding the security risks in 5g core network,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:59.658367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:53.677352Z digest=sha256:69fc71f37ea2d09c1a20b79abd76ab893fb63aac8764267ecd21b8e7ea44decd

Observation 135c28a2-c368-4f18-94c5-4658954f7861 · outbound

This paper cites Enhanc- ing cloud security: harnessing bayesian game theory for a dynamic defense mechanism,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Enhanc- ing cloud security: harnessing bayesian game theory for a dynamic defense mechanism,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:59.418218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:53.815590Z digest=sha256:7620f19e26e7810724685fe6abaae17e0b194649af7e54000a59d881b3dcfcd5

Observation c29b7d07-9891-428b-9c74-e6ad86fd1174 · outbound

This paper cites Atag github.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Atag github

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:59.116565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:53.949879Z digest=sha256:96d663e02db60384b497813545822110751aab308cef79ca65e8a622ed95e4e1

Observation 6a595c34-9ec0-4150-8066-00df3113ebb0 · outbound

This paper cites 2025 Top 10 Risk & Mitigations for LLMs and Gen AI Apps,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs 2025 Top 10 Risk & Mitigations for LLMs and Gen AI Apps,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:58.832636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:54.086895Z digest=sha256:f3dd344a1a1a2f8da907517f4e5c84ebe1012f29010daf9bd57b3af7d56b7837

Observation 7fe77ffd-87e1-48b1-8153-7dda9c42c55c · outbound

This paper cites Mitreatlas,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Mitreatlas,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:58.542050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:54.185800Z digest=sha256:d268b29f282a03e2086f080b31e62e1f0a9c83dff20b0c64af12fb45923ac6e0

Observation cb7c81c9-2456-42f3-812a-6013554acc27 · outbound

This paper cites Phantom: General trigger attacks on retrieval augmented language generation,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Phantom: General trigger attacks on retrieval augmented language generation,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:54.317343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:54.317343Z digest=sha256:826a1f67f77ef569d7554e7ef1ed47fc54781b61226b502ac93d2f7bbba02f4d

Observation 1b1aa1d1-a073-4bb0-b593-ebfd6dd7ba3e · outbound

This paper cites Common vulnerability scoring system.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Common vulnerability scoring system

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:58.280792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:54.424936Z digest=sha256:6cddbe0d702509138da7bfd3ce9d7edbeac68a536ed9798905e961a9196279ba

Observation 080c9ed6-9cea-443b-bd00-606e4f4b2f51 · outbound

This paper cites Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:54.543727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:54.543727Z digest=sha256:003973d85df2645f37190f6a09707e6fbaa908c9b169ecd76b572a3acf4a2908

Observation 75c3a190-74af-4973-acfd-1220aa554ed0 · outbound

This paper cites AI Risk Management Framework — nist.gov,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs AI Risk Management Framework — nist.gov,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:58.034126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:54.705115Z digest=sha256:3ae5e0f79e2eb4316e8a00afeb7b9a1732989446119fcb346b3010ddbb092d5c

Observation 26232291-d5ce-4c88-add4-95eb535d2d64 · outbound

This paper cites Agentic AI Threat Modeling Framework: MAESTRO — CSA — cloudsecurityalliance.org,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Agentic AI Threat Modeling Framework: MAESTRO — CSA — cloudsecurityalliance.org,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:57.780054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:54.857644Z digest=sha256:57f45a3f5909ddd310f9ecff20fa1f0e0941cad3981ec8feee534239d31f54b1

Observation f4d9ccbd-ee4c-4137-b36f-c2ecaddcf7d7 · outbound

This paper cites OWASP Foundation, “Announcing the OWASP LLM and Gen AI security project initiative for securing agentic applications,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs OWASP Foundation, “Announcing the OWASP LLM and Gen AI security project initiative for securing agentic applications,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:57.508429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:54.966005Z digest=sha256:59666ae4f1acf13c7ce4f87347404f89e2bbefba351c818c6c46e2310ec89888

Observation 695d0d10-e310-4e95-8fda-47e227773647 · outbound

This paper cites OWASP Foundation, “Multi-Agentic system Threat Modeling.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs OWASP Foundation, “Multi-Agentic system Threat Modeling

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:57.283991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:55.076607Z digest=sha256:6b5180133f9058ec4b8ff68d7de4d7a1ca001306a43e2e329e9454509002a789

Observation 21677672-78a3-4468-b639-9b31e9097eb0 · outbound

This paper cites Securing agentic ai: A comprehensive threat model and mitigation framework for generative ai agents,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Securing agentic ai: A comprehensive threat model and mitigation framework for generative ai agents,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:18:56.992001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:55.201783Z digest=sha256:e777eb1331b67c31a0d66fd0a5ca4fae9a8d1ecb1e45f84de9b8b3b510ab2745

Observation 184e8ec7-0c5a-4199-9d12-ad870582ed6c · outbound

This paper cites Doomarena: A framework for testing ai agents against evolving security threats,.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Doomarena: A framework for testing ai agents against evolving security threats,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:55.402038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:55.402038Z digest=sha256:e1d1fc6b9b1ce0d010f3372c7d0f97e40943d7c4af47b0a72a56ff6b84fbcc25

Observation a5dbbb8a-78af-4542-801c-9905d3d87043 · outbound

This paper cites A Survey of MulVAL Extensions and Their Attack Scenarios Coverage.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs A Survey of MulVAL Extensions and Their Attack Scenarios Coverage

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:18:55.845485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T11:18:55.535553Z digest=sha256:c9ce5dadb1722aa1f413fa9b9d3378808502a07bb3509b9041b4b63b2a50b652

Observation bca5b16d-1e19-4cbd-8de6-ca1af8db510a · outbound

This paper cites Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents.

ATAG: AI-Agent Application Threat Assessment with Attack Graphs Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:55.303303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:55.303303Z digest=sha256:904277c2577c62d258a4046ac71194acb1a9abdeea4a1e599ec826dd1792d9c5

Pith citing papers

Observation fda9f30d-6ad1-4477-93a0-57b9274de9da · inbound

Data Leakage Prevention in Agentic Applications via Preemptive Hardening cites this paper.

Data Leakage Prevention in Agentic Applications via Preemptive Hardening ATAG: AI-Agent Application Threat Assessment with Attack Graphs

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T14:11:22.454449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:11:22.454449Z digest=sha256:64ff25713cc46ec2d1c42aa537e20b8ee4c241357e949cc8c4c2e00e050be31f