Paper Citation Record · LEDGER

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails

As of 23 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2502.03622.

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

pith.paper-citation-record.v1
2502.03622 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:21:23.010918Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

14 of 14 outbound references displayed

verified exact3
verified fuzzy2
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ce6713e-305a-4ee3-9e42-a27a48036df8 · outbound

This paper cites 2024 Data Breach Investigations Report,.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails 2024 Data Breach Investigations Report,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:21:23.533100Z

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 9a05efc4-8e77-48ce-8ebe-f384e9fe089f · outbound

This paper cites An overview of the Tesseract OCR Engine,.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails An overview of the Tesseract OCR Engine,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T04:21:22.956676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55ffb102-1c61-4ac0-a4c0-aef4df0a5cea · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T04:21:22.960855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a49264b-2765-4387-9dd0-7288edc47d28 · outbound

This paper cites ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails ChatSpamDetector: Leveraging Large Language Models for Effective Phishing Email Detection

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T04:21:22.965521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11839e5d-7481-4c7c-91fc-22ecab958fb7 · outbound

This paper cites Curated datasets and feature analysis for phishing email detection with machine learning,.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails Curated datasets and feature analysis for phishing email detection with machine learning,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T04:21:22.970086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42f5d548-19bb-41f5-80ce-c92a658037d4 · outbound

This paper cites Rephrased labels improve zero-shot text classification by 30%.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails Rephrased labels improve zero-shot text classification by 30%

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:21:23.517997Z

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 08110b0e-75c9-4c3c-991d-e6e86de7d906 · outbound

This paper cites Detecting phishing websites using machine learning technique,.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails Detecting phishing websites using machine learning technique,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T04:21:22.979539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09c887fc-8e5f-42e1-8b09-0794d531448e · outbound

This paper cites A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-09T04:21:23.081334Z

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 e8a41cc6-8ee6-4750-b210-a45d67b2e397 · outbound

This paper cites Federated Phish Bowl: LSTM - Based Decentralized Phishing Email Detection,.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails Federated Phish Bowl: LSTM - Based Decentralized Phishing Email Detection,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T04:21:22.988613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 270ad7ce-639c-4f14-a822-4341c7794e9a · outbound

This paper cites Exploring the Efficacy of Federated -Continual Learning Nodes with Attention - Based Classifier for Robust Web Phishing Detection: An Empirical Investigation,.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails Exploring the Efficacy of Federated -Continual Learning Nodes with Attention - Based Classifier for Robust Web Phishing Detection: An Empirical Investigation,

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-09T04:21:23.289005Z

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 0400e788-8fa4-4c53-8848-7fec1266b52e · outbound

This paper cites Secure Multi-Party Computation: Theory, practice and applications,.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails Secure Multi-Party Computation: Theory, practice and applications,

Reference 11

Resolution: verified exact; doi, observed 2026-08-09T04:21:23.059814Z

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 0526de81-3999-4592-82b8-3ee9ce4e901b · outbound

This paper cites Secure multiparty computation,.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails Secure multiparty computation,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T04:21:23.001610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07045998-cfc2-4f79-87fa-6bde7638c435 · outbound

This paper cites Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails Fine-Tuned 'Small' LLMs (Still) Significantly Outperform Zero-Shot Generative AI Models in Text Classification

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T04:21:23.006115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9c5e305-e44a-4878-8184-9d58400a3e59 · outbound

This paper cites Adaptable and Reliable Text Classification using Large Language Models.

AdaPhish: AI-Powered Adaptive Defense and Education Resource Against Deceptive Emails Adaptable and Reliable Text Classification using Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T04:21:23.010918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.