Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:39:41.471542Z
Paper Citation Record · LEDGER
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models
As of 22 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 3 inbound Pith citation observations for arXiv:2411.11389.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:28:57.694409Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T21:01:51.399296Z
Reference resolution
86 of 86 outbound references displayed
- verified exact2
- verified fuzzy54
- unresolved29
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 52eebfe3-609c-4c74-b422-9fa2d6063a36 · outbound
This paper cites Fighting against phishing attacks: state of the art and future challenges,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Fighting against phishing attacks: state of the art and future challenges,
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.026769Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc61b9cc-ef0a-4db4-a8b9-983fadd7dd60 · outbound
This paper cites Apwg 2024 phishing report,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Apwg 2024 phishing report,
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.032884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 094b0d39-da07-4b02-be10-8ad344a71100 · outbound
This paper cites A systematic literature review on phishing email detection using natural language processing techniques,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models A systematic literature review on phishing email detection using natural language processing techniques,
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.038081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 795c7db4-9b49-4ba4-a0af-9dc9a342f6ef · outbound
This paper cites Applying machine learn- ing and natural language processing to detect phishing email,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Applying machine learn- ing and natural language processing to detect phishing email,
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.042928Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76bd6ce2-4460-4f49-9fb0-42ef6ed91a85 · outbound
This paper cites ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.047995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2a2129e-2b39-431a-aada-13549a14b1ff · outbound
This paper cites A survey of large language models for cyber threat detection,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models A survey of large language models for cyber threat detection,
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.053192Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4db3bd31-35db-4b6a-9012-678d8486b5cb · outbound
This paper cites Towards security threats of deep learning systems: A survey,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Towards security threats of deep learning systems: A survey,
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.058674Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e45d0373-11fb-4941-b203-e8bf8a0299eb · outbound
This paper cites Privacy engineering in the wild: Understanding the practitioners’ mindset, organizational aspects, and current practices,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Privacy engineering in the wild: Understanding the practitioners’ mindset, organizational aspects, and current practices,
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.064653Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2857ce2-7dc5-493a-bc18-dbcd2d562449 · outbound
This paper cites Sok: a comprehensive reexamination of phishing research from the security perspective,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Sok: a comprehensive reexamination of phishing research from the security perspective,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.821703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8d43f7ec-2517-4d07-b131-4faf3e9822bf · outbound
This paper cites Phish- ing email detection using natural language processing techniques: a literature survey,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Phish- ing email detection using natural language processing techniques: a literature survey,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.803764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6b2786e1-129e-4272-b169-5d32a7ad72d5 · outbound
This paper cites Text Data Augmentation: Towards better detection of spear-phishing emails.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Text Data Augmentation: Towards better detection of spear-phishing emails
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T18:39:41.731627Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4532749d-1862-4a17-91a5-87f06b3adf5b · outbound
This paper cites Ad- versarial sampling attacks against phishing detection,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Ad- versarial sampling attacks against phishing detection,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.787659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 08deb28f-f7eb-4f8b-a391-e50e17bdc346 · outbound
This paper cites Enhancing detection of arabic social spam using data augmentation and machine learning,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Enhancing detection of arabic social spam using data augmentation and machine learning,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.771723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 51c34854-171b-4835-b823-65d4984b24cb · outbound
This paper cites Data augmenta- tion methods for enhancing robustness in text classifica- tion tasks,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Data augmenta- tion methods for enhancing robustness in text classifica- tion tasks,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.754753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 58ae4c0d-50c6-4424-93a8-d733fcd8c317 · outbound
This paper cites Adversarial examples generation method for chinese text classification,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Adversarial examples generation method for chinese text classification,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.739144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 994e753e-8a57-405f-a28c-7f4d72b7cac0 · outbound
This paper cites Rule-based adversarial sample generation for text classification,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Rule-based adversarial sample generation for text classification,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.721809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3c9e0dab-8486-4e1e-86cd-1b7ec442b2de · outbound
This paper cites An empirical survey of data augmentation for limited data learning in nlp,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models An empirical survey of data augmentation for limited data learning in nlp,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.705758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4fc64b81-a4b4-4c6e-992d-0518752df25b · outbound
This paper cites Adversarial robustness of phishing email detection models,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Adversarial robustness of phishing email detection models,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.689783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8bc3622b-6998-4367-a3fe-30691ec5d7c2 · outbound
This paper cites Data augmentation in classification and segmentation: A survey and new strategies,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Data augmentation in classification and segmentation: A survey and new strategies,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.672922Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 12be2dc7-9fc1-4369-b474-3602008268e5 · outbound
This paper cites Analysis and prevention of ai-based phishing email attacks,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Analysis and prevention of ai-based phishing email attacks,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.656311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 81b90e9d-778d-4742-bf91-c86c6facde1a · outbound
This paper cites Phishing or not phishing? a survey on the detection of phishing websites,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Phishing or not phishing? a survey on the detection of phishing websites,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.637612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 806280cb-86dd-4b30-bca0-a3ebccd5b5a8 · outbound
This paper cites Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Devising and Detecting Phishing: Large Language Models vs. Smaller Human Models
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.136708Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3ca37bd-1410-4c7a-9780-79451661701b · outbound
This paper cites Lateral Phishing With Large Language Models: A Large Organization Comparative Study.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Lateral Phishing With Large Language Models: A Large Organization Comparative Study
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.141716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e50ce6e2-821a-46c2-9c0b-490dd6602de2 · outbound
This paper cites A survey on explainable anomaly detection,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models A survey on explainable anomaly detection,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.617910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5da470cf-63f7-485e-a4b4-27472e435a90 · outbound
This paper cites Detection of ai-generated emails-a case study,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Detection of ai-generated emails-a case study,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.601276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3c0db142-7359-4b59-ab9c-62410411b312 · outbound
This paper cites Phishing and social engineering attack prevention with llms,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Phishing and social engineering attack prevention with llms,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.584159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 90978786-70bd-45ed-ab3f-4bd66c45074a · outbound
This paper cites an unresolved cited work.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T18:39:42.567446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation eae32383-399a-4372-93f2-6dee1da1265d · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Gemini: A Family of Highly Capable Multimodal Models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.166967Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86c9c4b2-1b95-4993-bf66-c7394fb5a341 · outbound
This paper cites LoRA: Low-Rank Adaptation of Large Language Models.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models LoRA: Low-Rank Adaptation of Large Language Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.172683Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcbbffe8-77ed-4547-ba2c-96c853d80c2d · outbound
This paper cites Bi-lstm model to increase accuracy in text classification: Combining word2vec cnn and attention mechanism,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Bi-lstm model to increase accuracy in text classification: Combining word2vec cnn and attention mechanism,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.550393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 80a51a50-155a-4745-b468-ae2c27c94391 · outbound
This paper cites An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models An Explainable Transformer-based Model for Phishing Email Detection: A Large Language Model Approach
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.182556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a683be3-42d8-44a4-837f-40c904c3fb68 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Chain-of-thought prompting elicits reasoning in large language models,
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.187427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 038dcbc6-dfec-490d-8903-2cb65b719335 · outbound
This paper cites Isolation forest,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Isolation forest,
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.192687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2fa371b-9454-44a9-b8f3-6fe75349721f · outbound
This paper cites Latent dirichlet allocation,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Latent dirichlet allocation,
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.197680Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4a16c91-b51f-4702-a5bd-db28849b363b · outbound
This paper cites The science of persuasion,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models The science of persuasion,
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.203815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a56f8d8-e903-49f8-98e3-9efcf90b5833 · outbound
This paper cites Concept induction: Analyzing unstructured text with high-level concepts using lloom,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Concept induction: Analyzing unstructured text with high-level concepts using lloom,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.486197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 20741667-1779-4d82-b6e7-1887605950b3 · outbound
This paper cites The development and psychometric properties of liwc-22,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models The development and psychometric properties of liwc-22,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.467962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6594b9b5-999f-4226-90b7-e7147e8acefc · outbound
This paper cites Optimizing semantic coherence in topic models,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Optimizing semantic coherence in topic models,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.451354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1a9ea117-a2bc-4f22-ae75-8c9356fe60f4 · outbound
This paper cites Class-based n-gram models of natural language,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Class-based n-gram models of natural language,
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.226525Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f423a8c3-58a6-46f7-ab5d-0f7694b48861 · outbound
This paper cites Interpreting tf-idf term weights as making relevance decisions,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Interpreting tf-idf term weights as making relevance decisions,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.423305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9b133c9a-c425-44a3-beca-b01e00ed3d90 · outbound
This paper cites Explaining and Harnessing Adversarial Examples.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Explaining and Harnessing Adversarial Examples
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.236781Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21dc6380-18e5-41b4-bdf5-f7100ca25a96 · outbound
This paper cites Machine literature searching viii. operational criteria for designing information retrieval systems,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Machine literature searching viii. operational criteria for designing information retrieval systems,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.407547Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7d9e5658-1dc4-4084-bcfc-880bd47a00fa · outbound
This paper cites Iwspa phishing dataset,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Iwspa phishing dataset,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.391085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1aad8c3b-6ba3-48d2-aae5-1b90177859ff · outbound
This paper cites Nazario phishing dataset,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Nazario phishing dataset,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.373022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 010805cb-29b1-435f-8468-c0068298df8f · outbound
This paper cites Miller smiles phishing dataset,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Miller smiles phishing dataset,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.355948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f7b7a90b-4904-4582-b955-56350f24548e · outbound
This paper cites Phish bowl phishing dataset,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Phish bowl phishing dataset,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.337586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 13b9ddc8-ea17-4f7a-9cf5-3fbb64c0c920 · outbound
This paper cites Nigerian fraud dataset,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Nigerian fraud dataset,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.320493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e1836623-8c72-4a2a-abc7-c8fb779500c0 · outbound
This paper cites An improved transformer-based model for detecting phishing, spam and ham emails: A large language model approach,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models An improved transformer-based model for detecting phishing, spam and ham emails: A large language model approach,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.302181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 7144e5d8-9ce1-4c11-ac9a-185ae0f97100 · outbound
This paper cites The psychological meaning of words: Liwc and computerized text analysis methods,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models The psychological meaning of words: Liwc and computerized text analysis methods,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.284201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1b6f42fe-f64d-44d0-bc52-6a7c56c1e160 · outbound
This paper cites Changing others’ beliefs online: Online comments’ persuasiveness,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Changing others’ beliefs online: Online comments’ persuasiveness,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.265494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 29549bb9-ebcc-4efc-aaad-bcf074a75523 · outbound
This paper cites Cognitive triaging of phishing attacks,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Cognitive triaging of phishing attacks,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.248062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 098a2e7b-b673-4821-beef-98e6c52dfa41 · outbound
This paper cites The development and psychometric properties of liwc2015,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models The development and psychometric properties of liwc2015,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.231202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f8eb5c3d-3cb5-488b-aa7f-4c70ee035436 · outbound
This paper cites InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.296911Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20668650-a631-44d9-b9fa-9a8db1d143e8 · outbound
This paper cites Generating nat- ural language adversarial examples through probability weighted word saliency,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Generating nat- ural language adversarial examples through probability weighted word saliency,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.214504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f4bf9bb6-2251-4f7f-8c11-71b92cf0e99a · outbound
This paper cites Combating Adversarial Misspellings with Robust Word Recognition.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Combating Adversarial Misspellings with Robust Word Recognition
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.306847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86f85598-28a7-4237-b0df-d041620a112a · outbound
This paper cites Black-box generation of adversarial text sequences to evade deep learning classifiers,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Black-box generation of adversarial text sequences to evade deep learning classifiers,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.197184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1dbde074-7a50-4f6b-99ae-7efa81fc7f48 · outbound
This paper cites Chatgpt and a new academic reality: Arti- ficial intelligence-written research papers and the ethics of the large language models in scholarly publishing,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Chatgpt and a new academic reality: Arti- ficial intelligence-written research papers and the ethics of the large language models in scholarly publishing,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.179947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8c680be2-342f-403a-a74b-4a740335df54 · outbound
This paper cites Social engineering in cybersecurity: Effect mechanisms, human vulnerabilities and attack methods,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Social engineering in cybersecurity: Effect mechanisms, human vulnerabilities and attack methods,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.163516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4e498037-3c7e-48a9-917d-485cfcf4edb8 · outbound
This paper cites Udh: Universal deep hiding for steganography, water- marking, and light field messaging,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Udh: Universal deep hiding for steganography, water- marking, and light field messaging,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.146765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 953bcc34-2c45-4aae-8861-a482e637827c · outbound
This paper cites Towards adversarial phishing detection,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Towards adversarial phishing detection,
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.130034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cb435f40-9737-4873-a9d9-a353caa279bf · outbound
This paper cites Hooked: A Real-World Study on QR Code Phishing.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Hooked: A Real-World Study on QR Code Phishing
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T18:39:41.570766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4a1c88b9-2786-4faa-9229-c014a8dbfae7 · outbound
This paper cites An image is worth a thousand toxic words: A metamorphic testing framework for content moderation software,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models An image is worth a thousand toxic words: A metamorphic testing framework for content moderation software,
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.113311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a5d29b2f-5e2b-431c-87e2-442db2712b54 · outbound
This paper cites {KnowPhish}: Large lan- guage models meet multimodal knowledge graphs for enhancing {Reference-Based} phishing detection,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models {KnowPhish}: Large lan- guage models meet multimodal knowledge graphs for enhancing {Reference-Based} phishing detection,
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.095491Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f130d1d3-16cc-4651-ac58-609dfbab8fd9 · outbound
This paper cites From chatbots to phishbots?: Phishing scam generation in commercial large language models,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models From chatbots to phishbots?: Phishing scam generation in commercial large language models,
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.077017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ff071e10-7593-484b-a28b-60f79d68adae · outbound
This paper cites Chatgpt’s security risks and benefits: of- fensive and defensive use-cases, mitigation measures, and future implications,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Chatgpt’s security risks and benefits: of- fensive and defensive use-cases, mitigation measures, and future implications,
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.057344Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d21a6dae-35de-42ab-a19f-5b801ba2af03 · outbound
This paper cites A survey on dataset quality in machine learning,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models A survey on dataset quality in machine learning,
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.038508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8e6a8c87-880e-44e8-8279-27b1c42e91ae · outbound
This paper cites Generating optimal attack paths in generative adversarial phishing,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Generating optimal attack paths in generative adversarial phishing,
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.020780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ca6f4505-373e-46a4-b538-1f22275790c0 · outbound
This paper cites Weaponizing data science for social engineering: Automated e2e spear phishing on twitter,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Weaponizing data science for social engineering: Automated e2e spear phishing on twitter,
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:42.002936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e5e2031d-3ca6-420c-be97-b984434d745f · outbound
This paper cites Is bert really robust? a strong baseline for natural language attack on text classification and entailment,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Is bert really robust? a strong baseline for natural language attack on text classification and entailment,
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.380768Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f4f1b29-d783-4968-a3bd-5f9b869bbe0e · outbound
This paper cites Social engineering in cybersecurity: The evolution of a concept,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Social engineering in cybersecurity: The evolution of a concept,
Reference 70
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:41.975456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation aa3bcd12-4813-43b3-afe5-c31cb5cd805c · outbound
This paper cites Defining social engineer- ing in cybersecurity,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Defining social engineer- ing in cybersecurity,
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:41.959531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2216b263-2f0c-47cd-8657-06460f1457d0 · outbound
This paper cites Email summarization to assist users in phishing iden- tification,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Email summarization to assist users in phishing iden- tification,
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:41.942058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e5f25af4-262e-4669-95fa-3f6b8a1cc229 · outbound
This paper cites Email phishing and signal detection: How persuasion principles and personality influence response patterns and accuracy,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Email phishing and signal detection: How persuasion principles and personality influence response patterns and accuracy,
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:41.922358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4a6da0a2-010d-4217-9c01-ca7f0fb10e2d · outbound
This paper cites Detection method of phish- ing email based on persuasion principle,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Detection method of phish- ing email based on persuasion principle,
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:41.905775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2eec8388-374a-486a-8ef1-621b4f4666e6 · outbound
This paper cites Utilizing large language models with human feedback integration for generating dedicated warning for phishing emails,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Utilizing large language models with human feedback integration for generating dedicated warning for phishing emails,
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:41.889090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5245d107-19be-4100-95f3-099899bfdf88 · outbound
This paper cites Digital Deception: Generative Artificial Intelligence in Social Engineering and Phishing.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Digital Deception: Generative Artificial Intelligence in Social Engineering and Phishing
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.419279Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a1a05e6-5607-4f49-973d-b8445b6a248d · outbound
This paper cites Social engineering at- tacks: A survey,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Social engineering at- tacks: A survey,
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:41.872099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 74a0f2c4-e3cf-4a1b-8a91-ad495a96bcbc · outbound
This paper cites Ai2tale: An innovative information theory-based approach for learning to localize phishing attacks,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Ai2tale: An innovative information theory-based approach for learning to localize phishing attacks,
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:41.855218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 03dee996-bbb4-4ca1-af87-3273fbd90921 · outbound
This paper cites Generative adversarial nets,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Generative adversarial nets,
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.435087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a78484e5-beec-42f1-9e1a-74dbd407442d · outbound
This paper cites Conditional Generative Adversarial Nets.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Conditional Generative Adversarial Nets
Reference 80
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.440306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8054ac3-3206-4fa8-b86b-8599eaeef13f · outbound
This paper cites an unresolved cited work.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Unresolved cited work
Reference 81
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T18:39:41.827141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation c98282c8-1aab-44c1-9715-e45de82ee1a7 · outbound
This paper cites Evaluating ChatGPT's Performance for Multilingual and Emoji-based Hate Speech Detection.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Evaluating ChatGPT's Performance for Multilingual and Emoji-based Hate Speech Detection
Reference 82
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.450816Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 429f8a9e-6e80-4d63-88bb-9f217533fadf · outbound
This paper cites Is chatgpt better than human annotators? potential and limitations of chatgpt in explaining implicit hate speech,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Is chatgpt better than human annotators? potential and limitations of chatgpt in explaining implicit hate speech,
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:41.810918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bcb0d1f9-8ed2-41de-bd17-5c6149c80de8 · outbound
This paper cites Cross-validation methods,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Cross-validation methods,
Reference 84
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T18:39:41.792595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 29c487e1-ef66-4e23-a5ab-1d268dd5d915 · outbound
This paper cites Language models are unsupervised multitask learners,.
PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models Language models are unsupervised multitask learners,
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:39:41.466730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33a439d9-b607-413c-bf89-039db150184a · outbound
This paper cites Nigerian.
Reference 86
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-12T18:39:41.764849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
Observation 695bc0f6-bd52-478b-b426-326217d75f13 · inbound
Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks cites this paper.
Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:28:57.694409Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed0d4329-1abe-4c0e-82e6-d0fb88faac3e · inbound
Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms cites this paper.
Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:43:16.760644Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0628af0d-6c0d-498e-8f65-746c7af05a5e · inbound
SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing cites this paper.
SoK: Exposing the Generation and Detection Gaps in LLM-Generated Phishing PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T21:01:51.402303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.