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Paper Citation Record · LEDGER

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.24006.

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

pith.paper-citation-record.v1
2607.24006 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:21:14.585941Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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  • verified fuzzy0
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d634b9b1-fa70-4ebd-a235-e15ffb57a80f · outbound

This paper cites Cloud forensics,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Cloud forensics,

Reference 1

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source=pdf_text observed=2026-07-31T23:21:11.128224Z digest=sha256:dbed0100e0186c6cfab1e239521228634792d79be5b3fcc5de79c271ccb1df9b

Observation bfb89e67-cf39-40a6-9584-f508bfedfb3f · outbound

This paper cites Cloud Forensics: A Meta-Study of Challenges, Approaches, and Open Problems.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Cloud Forensics: A Meta-Study of Challenges, Approaches, and Open Problems

Reference 2

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source=pdf_text observed=2026-07-31T23:21:11.174649Z digest=sha256:40b61c32db6d4807f7382ab1d59839531ebb41545692b12795a7b01a33ac5cca

Observation f7f75e33-1345-44f3-b769-c31e7e4551a6 · outbound

This paper cites Cloud incident response framework and AI-based forensics using reinforcement learning and graph neural networks,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Cloud incident response framework and AI-based forensics using reinforcement learning and graph neural networks,

Reference 3

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Observation 893f2c57-3445-4fd0-a98c-d3139fee19bc · outbound

This paper cites Honeypots: Catching the insider threat,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Honeypots: Catching the insider threat,

Reference 4

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source=pdf_text observed=2026-07-31T23:21:11.320696Z digest=sha256:85a038788f1cc8a77f63cdc6ce6404a943dd821b76d2d0f180ae7bc529161384

Observation a212c743-771e-4d68-b4fc-9f33626ff2f6 · outbound

This paper cites Baiting inside attackers using decoy documents,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Baiting inside attackers using decoy documents,

Reference 5

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source=pdf_text observed=2026-07-31T23:21:11.397884Z digest=sha256:b06cb4a7627e8bf8c9060d970197709e553821d3e8790dce774fc4f8f6f35c40

Observation 9041fdb7-5b8f-4689-80f3-464135300a94 · outbound

This paper cites BotSwindler: Tamper resistant injection of believable decoys in VM-based hosts for crimeware detection,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation BotSwindler: Tamper resistant injection of believable decoys in VM-based hosts for crimeware detection,

Reference 6

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source=pdf_text observed=2026-07-31T23:21:11.529323Z digest=sha256:e7bc3243b8848009de224056296fe0027a82c1c712bdd3eed25580a480940a11

Observation 6c224c18-b002-4d8c-8a90-c304b6f5810f · outbound

This paper cites Using honey- buckets to characterize cloud storage scanning in the wild,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Using honey- buckets to characterize cloud storage scanning in the wild,

Reference 7

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source=pdf_text observed=2026-07-31T23:21:11.659769Z digest=sha256:dcb5a5f1b70946f9bc694176a703be143742c53252311c8c8fbca75966ffff0a

Observation f1bf1231-819d-4349-b0c7-201378e2567e · outbound

This paper cites Not what you’ve signed up for: Compromising real-world LLM- integrated applications with indirect prompt injection,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Not what you’ve signed up for: Compromising real-world LLM- integrated applications with indirect prompt injection,

Reference 8

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source=pdf_text observed=2026-07-31T23:21:11.766962Z digest=sha256:ee2b0a49706135ce0c6309a27c978ac38bb4c132ccfc921150b9ab0edd5162b8

Observation ba0c2087-0aa4-4dfe-b0f7-0d8a1c22b9db · outbound

This paper cites OW ASP top 10 for large language model applications,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation OW ASP top 10 for large language model applications,

Reference 9

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source=pdf_text observed=2026-07-31T23:21:11.873970Z digest=sha256:c858b7126c9fcf273d90d88ffbae714d5577f8e30a298466de7055e3cbdf8822

Observation 8aa7252f-727c-4e10-b0ad-e302837680e8 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 10

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source=pdf_text observed=2026-07-31T23:21:11.928127Z digest=sha256:7fc6429244cc08904c076fc1d40d1b89a1b1b4dd3fe457f80ce090d3bd8d8680

Observation aaeacf29-4d5e-41e2-a133-86ea7c27c885 · outbound

This paper cites LLM-powered automated cloud forensics: From log analysis to investigation,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation LLM-powered automated cloud forensics: From log analysis to investigation,

Reference 11

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source=pdf_text observed=2026-07-31T23:21:12.016469Z digest=sha256:64524ed403cf7d80176a1cd33775b0b874f419b8bf98e1979cee098e53656a58

Observation 99675c48-cd9a-40de-ab66-0d8466e27c01 · outbound

This paper cites Cloud investigation automation framework (CIAF): An AI-driven approach to cloud forensics,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Cloud investigation automation framework (CIAF): An AI-driven approach to cloud forensics,

Reference 12

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source=pdf_text observed=2026-07-31T23:21:12.080882Z digest=sha256:eaa747974eb2edfe804b9555e65350c0f84ffc835913deaa951d517398c5b4e1

Observation 76ace5d7-6aaf-43ea-8058-ee1f6f38ca3d · outbound

This paper cites Secure cloud migration strategy (SCMS): A safe jour- ney to the cloud,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Secure cloud migration strategy (SCMS): A safe jour- ney to the cloud,

Reference 13

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source=pdf_text observed=2026-07-31T23:21:12.160175Z digest=sha256:0cc9ff9a0aa26b7859830f0a87cfdfa0a8526a25c5dae72fb9568dcb2ac7a5c7

Observation a3143024-6a7a-459b-81ad-fbf987fcbc08 · outbound

This paper cites The NIST definition of cloud computing,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation The NIST definition of cloud computing,

Reference 14

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source=pdf_text observed=2026-07-31T23:21:12.218139Z digest=sha256:d2da04186fb0d12915dc9b7325602eb674999f149e3c28e7704c5552ed3ff50d

Observation b882a7c5-80c2-41eb-bd9f-6f8904a827a9 · outbound

This paper cites Containerized cloud-based honeypot deception for tracking attackers,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Containerized cloud-based honeypot deception for tracking attackers,

Reference 15

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source=pdf_text observed=2026-07-31T23:21:12.287691Z digest=sha256:dda86e3bf1c06cc656d2e597179c60de0f22e8800584b7addcc68223ccbb1058

Observation 7f453fdf-5a9b-4a91-b0bb-961af4a384eb · outbound

This paper cites A com- prehensive survey on cyber deception techniques to improve honeypot performance,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation A com- prehensive survey on cyber deception techniques to improve honeypot performance,

Reference 16

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Observation d840ff18-9336-42dc-be15-36594b201f96 · outbound

This paper cites ReAct: Synergizing reasoning and acting in language models,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation ReAct: Synergizing reasoning and acting in language models,

Reference 17

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source=pdf_text observed=2026-07-31T23:21:12.468750Z digest=sha256:ba955216608d9c9ee3c418df964214a6f33bcbdd58e0e3d27823f041cf16e6d7

Observation 84d2980c-1e89-4fb4-bd53-3f358084115e · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Chain-of-thought prompting elicits reasoning in large language models,

Reference 18

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source=pdf_text observed=2026-07-31T23:21:12.557658Z digest=sha256:ae3f93b82dd0fc8269ab4c8c01b2e94fd1e58be8aba6e8ae3e78227cdbc5f7ce

Observation 53e34137-d8bb-46c1-a902-d840a97f776b · outbound

This paper cites LangGraph: Building stateful, multi-actor applications with LLMs,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation LangGraph: Building stateful, multi-actor applications with LLMs,

Reference 19

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Observation 8fb8cdce-c19b-4814-bcfd-1745dcf671b7 · outbound

This paper cites Introducing the Model Context Protocol,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Introducing the Model Context Protocol,

Reference 20

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source=pdf_text observed=2026-07-31T23:21:12.667557Z digest=sha256:9b7f5454edca900b7a7b2d1e0e645ad961387dea2146963966b6a7b75dd2d112

Observation 212940fb-a10b-413c-8b41-9b113287ed75 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Retrieval-augmented generation for knowledge-intensive NLP tasks,

Reference 21

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source=pdf_text observed=2026-07-31T23:21:12.720523Z digest=sha256:369d5ccf470bebb0ab839720fc8e3d8f8945a859b4ee2a7440b4811fc0b97e12

Observation 25d11dcc-8628-4216-98a2-eb3e48d5e83b · outbound

This paper cites ProvenAI: Provenance-native traces of evidence in generated answers,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation ProvenAI: Provenance-native traces of evidence in generated answers,

Reference 22

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source=pdf_text observed=2026-07-31T23:21:12.776942Z digest=sha256:62d210fc2ee1a32feeb63c6489528bcad22702830faf5ecf852ed9d272b7897b

Observation b6007efe-fc6a-4fa0-af55-5e1d083135b1 · outbound

This paper cites A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation A Comprehensive Overview of Large Language Models (LLMs) for Cyber Defences: Opportunities and Directions

Reference 23

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source=pdf_text observed=2026-07-31T23:21:12.858521Z digest=sha256:2298eb6ff64624556da52e805aae49907cca957a33883a22600111db76d27e39

Observation 93b9834a-91ca-4ab9-8073-bdff1fa0dc21 · outbound

This paper cites LogPr ´ecis: Unleashing language models for automated malicious log analysis,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation LogPr ´ecis: Unleashing language models for automated malicious log analysis,

Reference 24

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source=pdf_text observed=2026-07-31T23:21:13.005490Z digest=sha256:81c582033bf100d24c652fbcf353f30886c18f98e2fc2e51c7ae5e0fd0b2e055

Observation e1a65f54-511c-4840-962a-4fde45c1f28d · outbound

This paper cites LLMCloudHunter: Harnessing LLMs for automated extraction of de- tection rules from cloud-based CTI,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation LLMCloudHunter: Harnessing LLMs for automated extraction of de- tection rules from cloud-based CTI,

Reference 25

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source=pdf_text observed=2026-07-31T23:21:13.109648Z digest=sha256:16ca3f48d2c37e778698f5d73fc43682c9d5312517a76daf23fe1c332cc1605a

Observation 096c63cf-391c-4fca-9e17-98f259a6f94f · outbound

This paper cites Employing LLM agents for tabletop incident response: A mock backdoors and breaches scenario,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Employing LLM agents for tabletop incident response: A mock backdoors and breaches scenario,

Reference 26

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source=pdf_text observed=2026-07-31T23:21:13.254992Z digest=sha256:8f3d73275107b6583c94a771e375bf02beb6bebe9f89efae54f211f1530be0df

Observation d1c345e9-c3c4-44d4-b26a-41730e2db009 · outbound

This paper cites In-context autonomous network incident response: An end-to-end large language model agent approach,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation In-context autonomous network incident response: An end-to-end large language model agent approach,

Reference 27

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source=pdf_text observed=2026-07-31T23:21:13.370387Z digest=sha256:fac6c5eedbc643a652f6e83e71af670bcef18fb579bca11ef23ff809ce80c0ec

Observation 61af2592-dc10-41d2-9061-8b04f078c46b · outbound

This paper cites MCP safety audit: LLMs with the model context protocol allow major security exploits,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation MCP safety audit: LLMs with the model context protocol allow major security exploits,

Reference 28

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source=pdf_text observed=2026-07-31T23:21:13.494745Z digest=sha256:976d3b83e7054001069c81776e39b315c6ef9bf8e4ebf6d1eb512573972845e8

Observation 6d383df6-f7fa-448e-8c72-4be65124e2bf · outbound

This paper cites A zero-trust reinforcement learning policy for mitigating cyberattacks on emergency vehicle preemption systems,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation A zero-trust reinforcement learning policy for mitigating cyberattacks on emergency vehicle preemption systems,

Reference 29

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source=pdf_text observed=2026-07-31T23:21:13.590322Z digest=sha256:f7183bda56c3813874b1b935dbb2951cf3742cfba6cb17b5216265673ef60f1b

Observation d53d303f-a83a-479d-a9e7-c0dc2d0a1465 · outbound

This paper cites Phishing detection based on webpage content: Static and dynamic analysis,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Phishing detection based on webpage content: Static and dynamic analysis,

Reference 30

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source=pdf_text observed=2026-07-31T23:21:13.664222Z digest=sha256:44ef35ca66ab1b4043658c4f0e572c6c6ba886d5e2fddf2c0c73c4c9e4821e29

Observation 7e1f6cbc-213a-431f-8059-15e9347cdc6c · outbound

This paper cites MITRE ATT&CK: Design and philosophy,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation MITRE ATT&CK: Design and philosophy,

Reference 31

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Observation 5efb2b91-f168-46ac-b59d-e18cdc3b04ec · outbound

This paper cites MITRE ATT&CK for enterprise: Cloud ma- trix,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation MITRE ATT&CK for enterprise: Cloud ma- trix,

Reference 32

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source=pdf_text observed=2026-07-31T23:21:13.874854Z digest=sha256:ae5ad10dcb42effdf1e931f766c34178118c8c055fb70b173bfe287dcc647306

Observation 25b9104b-6da9-4113-ae7b-e9277d2993b3 · outbound

This paper cites A literature survey and analysis on social engineering defense mechanisms and InfoSec policies,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation A literature survey and analysis on social engineering defense mechanisms and InfoSec policies,

Reference 33

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source=pdf_text observed=2026-07-31T23:21:13.964750Z digest=sha256:badfa8878b5ed2e99fdcea53c0d7efbaf0d061a9a3ea7a20003bbdce42b14ced

Observation 048f1207-2c51-4df8-8d64-c1f0fc574ca6 · outbound

This paper cites Social engineering defense mechanisms: A taxonomy and a survey of employees’ awareness level,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Social engineering defense mechanisms: A taxonomy and a survey of employees’ awareness level,

Reference 34

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source=pdf_text observed=2026-07-31T23:21:13.984737Z digest=sha256:fe37667eba83b94a3786b43b55531b785e3fa2174b1c76eb9c0d0a729fd3ebb5

Observation 947f0b73-756e-4f7b-a1ca-f7d80adfcdf7 · outbound

This paper cites A taxonomy of social engineering defense mechanisms,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation A taxonomy of social engineering defense mechanisms,

Reference 35

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source=pdf_text observed=2026-07-31T23:21:14.114749Z digest=sha256:d1f0ff2f17ff7135d288f6e8063a15ad230fcd9699b6e0571a9ffaf2badba033

Observation e9c278ae-5135-44fb-8b7a-07df48d29356 · outbound

This paper cites Intelligence-driven computer network defense informed by analysis of adversary campaigns and intrusion kill chains,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Intelligence-driven computer network defense informed by analysis of adversary campaigns and intrusion kill chains,

Reference 36

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source=pdf_text observed=2026-07-31T23:21:14.305725Z digest=sha256:caab9115a5ef5e180bc25479bb11dce367f291b5c86d08bfacdfcee3b4719bf2

Observation beeca460-0b5d-4a9b-a261-4ac569f95935 · outbound

This paper cites A call to action for a secure-by- design generative AI paradigm,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation A call to action for a secure-by- design generative AI paradigm,

Reference 37

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source=pdf_text observed=2026-07-31T23:21:14.435347Z digest=sha256:0c4360141ce8611523f22e471f1c0a2dd2037037451fc7ad2ae4182c9d440491

Observation 764f79bf-c538-42e8-a617-f074c24168c3 · outbound

This paper cites Canary files: Generating fake files to detect critical data loss from complex computer networks,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Canary files: Generating fake files to detect critical data loss from complex computer networks,

Reference 38

Resolution
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no resolver link, observed 2026-07-31T23:21:14.514062Z

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source=pdf_text observed=2026-07-31T23:21:14.514062Z digest=sha256:f74ee37276d7f3f0119912ed39006611f9ecb8b9a3ace1e87b6cb70b65b14405

Observation ac06d259-b9a8-4a20-bc8b-ea9a658c2f62 · outbound

This paper cites Automated generation and analysis of attack graphs,.

Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Automated generation and analysis of attack graphs,

Reference 39

Resolution
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no resolver link, observed 2026-07-31T23:21:14.585941Z

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source=pdf_text observed=2026-07-31T23:21:14.585941Z digest=sha256:86e67bc7bdcbcd4649a13b7768b06bf9af81d07df29622785bd4fe37eb8eeeda

Pith citing papers

No inbound Pith citation observations are available.