Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:21:14.585941Z
Paper Citation Record · LEDGER
As of 7 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:21:14.585941Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
39 of 39 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d634b9b1-fa70-4ebd-a235-e15ffb57a80f · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Cloud forensics,
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfb89e67-cf39-40a6-9584-f508bfedfb3f · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Cloud Forensics: A Meta-Study of Challenges, Approaches, and Open Problems
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7f75e33-1345-44f3-b769-c31e7e4551a6 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 893f2c57-3445-4fd0-a98c-d3139fee19bc · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Honeypots: Catching the insider threat,
Reference 4
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Unavailable: canonical work link unavailable.
Observation a212c743-771e-4d68-b4fc-9f33626ff2f6 · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Baiting inside attackers using decoy documents,
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9041fdb7-5b8f-4689-80f3-464135300a94 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c224c18-b002-4d8c-8a90-c304b6f5810f · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Using honey- buckets to characterize cloud storage scanning in the wild,
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1bf1231-819d-4349-b0c7-201378e2567e · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba0c2087-0aa4-4dfe-b0f7-0d8a1c22b9db · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation OW ASP top 10 for large language model applications,
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8aa7252f-727c-4e10-b0ad-e302837680e8 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaeacf29-4d5e-41e2-a133-86ea7c27c885 · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation LLM-powered automated cloud forensics: From log analysis to investigation,
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99675c48-cd9a-40de-ab66-0d8466e27c01 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76ace5d7-6aaf-43ea-8058-ee1f6f38ca3d · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3143024-6a7a-459b-81ad-fbf987fcbc08 · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation The NIST definition of cloud computing,
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b882a7c5-80c2-41eb-bd9f-6f8904a827a9 · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Containerized cloud-based honeypot deception for tracking attackers,
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f453fdf-5a9b-4a91-b0bb-961af4a384eb · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d840ff18-9336-42dc-be15-36594b201f96 · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation ReAct: Synergizing reasoning and acting in language models,
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84d2980c-1e89-4fb4-bd53-3f358084115e · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Chain-of-thought prompting elicits reasoning in large language models,
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53e34137-d8bb-46c1-a902-d840a97f776b · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation LangGraph: Building stateful, multi-actor applications with LLMs,
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fb8cdce-c19b-4814-bcfd-1745dcf671b7 · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Introducing the Model Context Protocol,
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 212940fb-a10b-413c-8b41-9b113287ed75 · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Retrieval-augmented generation for knowledge-intensive NLP tasks,
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25d11dcc-8628-4216-98a2-eb3e48d5e83b · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation ProvenAI: Provenance-native traces of evidence in generated answers,
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6007efe-fc6a-4fa0-af55-5e1d083135b1 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93b9834a-91ca-4ab9-8073-bdff1fa0dc21 · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation LogPr ´ecis: Unleashing language models for automated malicious log analysis,
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1a65f54-511c-4840-962a-4fde45c1f28d · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 096c63cf-391c-4fca-9e17-98f259a6f94f · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1c345e9-c3c4-44d4-b26a-41730e2db009 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61af2592-dc10-41d2-9061-8b04f078c46b · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d383df6-f7fa-448e-8c72-4be65124e2bf · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d53d303f-a83a-479d-a9e7-c0dc2d0a1465 · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Phishing detection based on webpage content: Static and dynamic analysis,
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e1f6cbc-213a-431f-8059-15e9347cdc6c · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation MITRE ATT&CK: Design and philosophy,
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5efb2b91-f168-46ac-b59d-e18cdc3b04ec · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation MITRE ATT&CK for enterprise: Cloud ma- trix,
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25b9104b-6da9-4113-ae7b-e9277d2993b3 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 048f1207-2c51-4df8-8d64-c1f0fc574ca6 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 947f0b73-756e-4f7b-a1ca-f7d80adfcdf7 · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation A taxonomy of social engineering defense mechanisms,
Reference 35
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9c278ae-5135-44fb-8b7a-07df48d29356 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation beeca460-0b5d-4a9b-a261-4ac569f95935 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 764f79bf-c538-42e8-a617-f074c24168c3 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac06d259-b9a8-4a20-bc8b-ea9a658c2f62 · outbound
Agentic Cloud Decoys: A Deception-Driven Framework for Autonomous Intrusion Investigation Automated generation and analysis of attack graphs,
Reference 39
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.