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Paper Citation Record · LEDGER

ATAG: AI-Agent Application Threat Assessment with Attack Graphs

As of 21 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 2026-08-20T06:33:59.587034+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:c7bb3cb4a80a19b0c3752a5757ee897c902c9f955f594b8d6081b1062e26e690

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:c1d8ff51f45bbfab0168e322efddabce1368a1926246c411e1c8080a7c357e92

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:ebc909df40344f4f7dfd6c3c7e058bcc9e8b762570c5c591891bcd0be464084d

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=sha256:7de7442e4cf30f59f69fe9aaa05b4e6fb61fd42e8b8ba31e3b2ae8d4e0d014bf

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:49.210303Z digest=sha256:bb798e980adfb1e2838aeb7a9965316be900e50a4d0ac104e27d8758f03d53e5

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:f70fcca4b6fc664246c0627c015f076ec6630e5f732b229e32bfd945614d22db

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:c3c38b285644fb489a32ba86f4cd0192e00c73912f701c59cac5e4d87f067b5b

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:49.505512Z digest=sha256:9fb8917eb05b2428b4cbf395a72c556723d08cdd4470bf8c9d4367e0fccc0b1b

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:e337d7a8bc54f03d11965a7d9f1e74ccdad7902d16a0f025152b61acc994b142

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:49.695176Z digest=sha256:28393290bd50342384b9e09c4e0baef0e60a21e9c8374ba2071bf1f14395c9f8

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=sha256:46647442038b7d1ddbf82c67821f53526ebe201ed4ba55b91647d5e536d074c7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:49.949489Z digest=sha256:206f36e17f7f5235539a2c8799a27544dad034021b1353822917f4f547059628

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:50.147494Z digest=sha256:2a94d36cb5a206fcc23e0ff58b516208241d02419adc77563d57d5f17e888f31

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:50.298247Z digest=sha256:cc7bc466b7f86db7149454b6f58d298e0fe3a6e3f4a72894b31d0fb0a7a94a86

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:50.454148Z digest=sha256:c2a653ec7f57cc12b175e31ecfc52eee81756edda825deeb79867b57a7ec85b0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:50.589951Z digest=sha256:399e418945006880b5d011f5678ecce56457f974fb14ab0221ad044ece592336

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:50.753676Z digest=sha256:562e0ac0b621b9a415b999fb9be9e9fdc06761e8543dc6edf809541979bd0431

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:50.940100Z digest=sha256:1773c456eaf90864dac9cde5e1c8effc4658c600814b04512bba52fa3fadb463

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:51.089724Z digest=sha256:32a37288ca0b06314076d4c6237fe262c44439b6cd49b0349cf8fad98e6bf835

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:51.195328Z digest=sha256:bf5e24ce2f30489fb715dd55acf21beef92de1e67db307479a469de736022de5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:51.322376Z digest=sha256:89fc661b5e43884cf43cb316e0fe390ed1fecc5d1b0d3052370c26e3e60f5df7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:51.464218Z digest=sha256:2e36aff9fdb845eb27db7c7fd7046dc7f276a8f0d6cb1702014cb35bf3dbc3c9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:51.577998Z digest=sha256:bcb6fa831073432067144c57fb841fd15cb3b0c74c6e6d6a3d542ceab5ca7156

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:51.694702Z digest=sha256:3e038e5e76025b882614f03123fce2eb18dcc93d14eaa3c415a98f4f538ffc88

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:51.831061Z digest=sha256:be97106c63817246e0288ba88d1139742b8b58ea2def8d5c2cf9668a3f4776bd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:51.952409Z digest=sha256:c1fc334777a73971dada3c0821a6ce6116ab1faa099d81c36635b662b9a5acfd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:52.053705Z digest=sha256:210cde4cd887d7e28a35920dc8d2f2d997c7841b1c91f8cfd3a056b68814c013

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=sha256:91f6e30483e29bf08a33323c2dd6d1776c6205c5d0d577a53159a5444ee81400

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:52.289961Z digest=sha256:5ec7048252a51b6105579822f94699d83b816f062ee84b959da0097f2216a7a0

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=sha256:46fa6235037163b439587f498220ee2f771478ca59f64d1f11014fa9e09c8ecc

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:52.543147Z digest=sha256:fdb1d56f0aebee20218eea39ade12b6a0b3094258fac9a6444b2acb081984e0e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:52.685303Z digest=sha256:ae11191d807611dee83a0a8d4a8f0b91cbdf40732ccfbd39ce6ba1dffb171098

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=sha256:47b61140e7519ac9b51cac6fc7625da92cd08d78fe1ac7ac9633e6c10d74c77f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:52.943526Z digest=sha256:812c1ac23ffb55616ddf44775f0a07ffddcbaebd28c0184eb437f33ab2cad21c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:53.076098Z digest=sha256:65ea4ce9f905eb9f5aec079178dfa7a576c4db318e46452b5ab11baab320bb7d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:53.200626Z digest=sha256:3eacc28c9d98dbb208e0f3183cb32b31e554c3ea42e9a2f6b05ac716a75944c2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:53.336873Z digest=sha256:6402b712eae229fd1ce4976f4088311438d74389092ef3a9d535d7f65a47a96c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:53.439201Z digest=sha256:ecc046d587d84131d8ac5c94e1bbff84888a7f10a00dc85097faeee7eaa89003

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:53.565165Z digest=sha256:a25b6f1c11663b4c20ce8259c2636b2ae87419b72c6080dc1e9a7b1b0c138069

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:53.677352Z digest=sha256:e3586ea11137f9f72527b68a705e028ccff359809ad23e80c150d6cb920a6f04

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:53.815590Z digest=sha256:dc9fc6254b0654d841e8a9f98e1b2ddaa1bbce1ba63cab3159e3af6b3088cf54

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:53.949879Z digest=sha256:4560a545e9cc1e803788c1ae366c660f5a0891b460d011cf8184ac5ee7eb515a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:54.086895Z digest=sha256:3abc3145723a318eaf08a221fdea7f0eaab46ec9fe7d2ed2a006ae9368702d3e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:54.185800Z digest=sha256:ced98b4625326a720f5f0137678b9f38aaa3383e5a02527c85f13db8b675d373

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=sha256:067579cdb60741487ae0c71930e71094ddedf5a440509657cc75de00135cba83

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:54.424936Z digest=sha256:9e75551e50f8f6cda4aaaede9f53658acf52fa1e566ea0412db0223f4863996b

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=sha256:6ed718730156622fbad3977727df957307ba455d77194b1bfbcd6b1ae0a76455

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:54.705115Z digest=sha256:cab687207f01584b98cd6734382a5a8f2ce85b27e24e033849be1755315946b2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:54.857644Z digest=sha256:538cbaf9d0575b3075e9e85c5c869421b2f09ca3e6906d69a0b9b0dba00daada

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:54.966005Z digest=sha256:d7233829e798dc26e079d323ac345319ccff43f39ab05e6a7c69eca389f40c70

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:55.076607Z digest=sha256:bed97abb6f51da93104a5f1e869bb7efde3c8240a700a3a9824a4b2172fc77fa

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:55.201783Z digest=sha256:006cefff4de443c78e9697c7549cc6277269901e6c5b282e4c0163dab9e42149

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=sha256:014936b7e9a73ee8731ff9b6531fcab070790efb02310fae32aea9a6c382d660

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T11:18:55.535553Z digest=sha256:edbb3c48c65f1150d74872ea8a303666998cb98b18263d392b5167703acb786d

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=sha256:9cb2ef1d307f2919fcc68a80fb74d74359d83f3345ea69397d1fdcf0f4aa9306

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=sha256:51397c6d1e8fca4ddb57f22a2646af32e4be8d635ded223d9f5701ba91acb4cb