Pith. sign in

Paper Citation Record · LEDGER

ATAG: AI-Agent Application Threat Assessment with Attack Graphs

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:8d1b582bab23d882e05d983a4fb259182b259c96f47f99050a63ade9947feb6b

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=sha256:221e1f932edbd2dddbbf9dac6dbd615532791912dad5791ba05a37567fe6a8d1

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=sha256:63c10c6e08578bea1dac61b896b18e53e02c8a64aec373406d08e36761b12073

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:d9596a0e76a4b933c2d8203c425b50b73ee014bf4a868cba708566ed064db1c9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:49.210303Z digest=sha256:8adae854547647f12501c1926fde0b0fb0c2c5e50ad40d116c853f54b530f704

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=sha256:6d750298de807a9679c6197db3dcfa5fdd99c65b99089a76a7b336321615c7f4

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=sha256:1c9979a896c5120dae5619644b4f66e4e7a75141b0e5135e195c4867db59813c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:49.505512Z digest=sha256:1c321798bac8ba64db1c25c04cdf006703bb65978921d9c3311245015beea714

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=sha256:007ed6cf9ddbb5b894d931b6955387c3d9cc98c05e88f357074de728e7d9396b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:49.695176Z digest=sha256:95fe69802f74d8415275af79a88a1edc69e9eea0ebcdc21b36938e60ae7d0b24

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=sha256:20b23a6bfe6487e393f614be84e396d98f70f9acd179cc9563598e10bec1978c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:49.949489Z digest=sha256:c4cf564a84b635a9d449fbca8903e99694986a61db973850b33c55a2abe19aaa

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:50.147494Z digest=sha256:e6d4a1782a5b4cbc1b6d929fef3251b48746696db46740829e6d6f7a84afda40

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:50.298247Z digest=sha256:d132581ea0c803da14c1cac5bd63f66b6808494fa2916c2ad2528b7485ff6642

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:50.454148Z digest=sha256:571b44db1bc341889779bd4522d3fd0d9be99e6fc8ba1f69bb7b33646703ceb9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:50.589951Z digest=sha256:54f87675cc02e40aa289edfcd676e2dc3e3237a1c904efa20fb321ff92d17a9e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:50.753676Z digest=sha256:0fd51a105537a2371bc3dc1a8d9ecef8e4633c7390470ac4be081ed33354edb1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:50.940100Z digest=sha256:e638b9bc4c8a0e4c0774938cc6ee3210f1b349134a85346a7b3ab0a6ae896f3e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:51.089724Z digest=sha256:a3ebe25f32eab66254b261155e8667ff98694f8e9841ee380c59cb557aa457bd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:51.195328Z digest=sha256:b49e50ffe4b92f2d91c70889ae3a6c30d3d3444d5dc95f9b5262beccd1218f91

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:51.322376Z digest=sha256:2a54aa4025f02ff5e5f042b9c8261ec0fdeb29c538aba1b28d115dfedc7c6b1b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:51.464218Z digest=sha256:c01342f60c50a75a530e9905e62a0f08c8d9e5fa663139caee1b7d37ca0623be

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:51.577998Z digest=sha256:11834cb576e2b88b5927924ba636daf9fbfcee6aefe3fb8c68169cc22ef287d3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:51.694702Z digest=sha256:e1e8d38e37d7b5e06554ed182afcb32c9c987d51d7bfd021fe1082de3868a7d9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:51.831061Z digest=sha256:75bac4ebe50b2350e4a07b2364856fbf9edc90decac8f5135e82dd9a85db7790

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:51.952409Z digest=sha256:09fbb7c934466a90025b404e74bec9c9543b73140935cd28515677ca1f77f822

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:52.053705Z digest=sha256:e46de5c33e2bd0ec271696448ee9ab14ab1264d05ada59c281de127db3e7d306

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=sha256:4674eb9fb36aca3cf471566ce090a54b904f3ddfc9047782d846d4e0a17a45c1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:52.289961Z digest=sha256:70055b8d9ee7fed40012fb9bc5bb77f4664f4e2d1fb76486dd89a91c9043531c

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:da3d2a5454377655137a735365f3bb8aea69731788aa05e9491797f46f933075

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:52.543147Z digest=sha256:918285d76a951e620f3c76bead03a180f94e021c46062cc9d7bb8ac34f7b2058

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:52.685303Z digest=sha256:b950fe00f190017ffb25b7fe258eb41b27135b0f1a59288aba9f4f56baee4636

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:e5396764743185fa0b73462db7e815c8ab35f80745b9235b7d4797929aef1694

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:52.943526Z digest=sha256:9d1360e006b4bcedf0789da1e0ddd89fd244da4a41c4463e4829997f40c74dda

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:53.076098Z digest=sha256:ee1e772fb03c03e8771c97b08cd7ade8a642dc51141a3187b0a3d0ecfd974885

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:53.200626Z digest=sha256:fc47a8ec734253d8726aafad9d57fc54cbabbad267fda9e07119b611abc9d3a0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:53.336873Z digest=sha256:f40095e527f63c61af2f96f65ed3f42d73d20d78141e4fbba9398735ef6d3f00

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:53.439201Z digest=sha256:8465ac000d6a150cd06daa728d50d4605bc1ed25c93ff809a335013be1645bb7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:53.565165Z digest=sha256:f99631bc89979ead51366f7c64f046a9c3af7b53034a2153b184349f53967b23

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:53.677352Z digest=sha256:cbfdfcfe2bd40f975a11ea66f337b1c788038071c3454ba30b479435800aa317

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:53.815590Z digest=sha256:84fd476b60d996120b77244276b6d6d8f340ce9eba4647f3c36e62530548281b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:53.949879Z digest=sha256:e7385a3ec4b51f543ac3b39a8c208e0799f7c5e036402c91eedf6d23bdeec32e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:54.086895Z digest=sha256:ae4cfc0e5750f3dbcfd580e12da4d32271aec5857971094cbe73cbabee0f6a65

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:54.185800Z digest=sha256:5d57cccda1c9721eb11c9c6ba530f3a8fb806dcb93ad0e5fb8d214195d1e6e2d

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:dfe1cd983f6e283ea0b539840a88fb316e3c74e412612b0d8710e73d026c7436

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:54.424936Z digest=sha256:4096bf0996c7e351a5257847e9d75d4a91f6413dc6fe39f52e4e582166cd8946

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=sha256:35a7e256b39551e76c1577f43b6630bf037db5b4fd8bd1bd69e1079320cff072

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:54.705115Z digest=sha256:0a6e387342b4ba90c78734e5b289843149cdfc794c38b8cf9d1f173a194dace7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:54.857644Z digest=sha256:f9238d1f1b1629e938e0b8fc370315259e2c3d091bb104e1fd17b4a4c2353dfe

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:54.966005Z digest=sha256:1ec663089b0bb8abb326da22fd57dff1850c43c41b03ff8eb7df178c8a9a29d1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:55.076607Z digest=sha256:4c3c41af360e96433d9a10b8bfecb983ef1c8a51267e7c9dc1f1782047f34441

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:55.201783Z digest=sha256:e483d3624050bb3191fda17b4098e55c5a757bd408865d282b0dc474d0b3191e

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=sha256:601df0514ad981e6693d5d1f95e08e5ec02ae1cf5bff3f95df2a23dccae1d03a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:18:55.535553Z digest=sha256:a92f2078781e14396929afa82b72a44132ee915180a06463888ca3306396fd15

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:eecf3dc37e0a1b7049afa1f08ca164d8fe850ccbeb9e217dfacb0e41957f625a

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:aaa660574ee7d71062b1d702e592f6779ca493ec1cedfcf9f3870406f7611bd1