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Paper Citation Record · LEDGER

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms

As of 19 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2507.21538.

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

pith.paper-citation-record.v1
2507.21538 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:43:16.925775Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

62 of 62 outbound references displayed

  • verified exact4
  • verified fuzzy32
  • unresolved25
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16bcd8f2-c533-4a4a-9743-32f1f9895eda · outbound

This paper cites Next-generation phishing: How llm agents empower cyber attackers.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Next-generation phishing: How llm agents empower cyber attackers

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ca8e5474-0911-4131-a364-d1699123ee98 · outbound

This paper cites Harness- ing large language models to simulate realistic human responses to social engineering attacks: A case study.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Harness- ing large language models to simulate realistic human responses to social engineering attacks: A case study

Reference 2

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c62577fc-cdcb-44e5-a2fa-32c405cbf9d7 · outbound

This paper cites Tasks people prompt: A tax- onomy of llm downstream tasks in software verifi- cation and falsification approaches.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Tasks people prompt: A tax- onomy of llm downstream tasks in software verifi- cation and falsification approaches

Reference 3

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation aec0b811-cac1-4574-b18a-8280fa2e4c3d · outbound

This paper cites Enhancing ge- netic improvement mutations using large language mod- els.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Enhancing ge- netic improvement mutations using large language mod- els

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:43:17.596883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f0c9461c-b92c-4313-8665-b26a3e3f75ed · outbound

This paper cites A literature review on classification of phishing attacks.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms A literature review on classification of phishing attacks

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:43:17.587690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 8b289437-6bbf-4e4b-ab26-96cafdf89b77 · outbound

This paper cites Chatgpt’s security risks and benefits: offensive and defensive use-cases, mitigation measures, and future implications.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Chatgpt’s security risks and benefits: offensive and defensive use-cases, mitigation measures, and future implications

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.756912Z digest=sha256:6f240a5c3b5321a1dc2e6a87b44fa93bd93d630d6ea9bb209aa7bd0671259dbc

Observation ed0d4329-1abe-4c0e-82e6-d0fb88faac3e · outbound

This paper cites PEEK: Phishing Evolution Framework for Phishing Generation and Evolving Pattern Analysis using Large Language Models.

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.

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Observation eb933265-0920-4c6d-8250-95f26fd7a90c · outbound

This paper cites {PentestGPT}: Evaluating and harnessing large language models for automated penetration testing.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms {PentestGPT}: Evaluating and harnessing large language models for automated penetration testing

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.763804Z digest=sha256:833bbdbef34e8c221419dd8fb6814ffb88c1c3c8f26bc72ed9c12bafcaac8a0d

Observation 546b31d9-e6a0-4dd8-9ffb-e28031542691 · outbound

This paper cites Can ai language models replace human participants? Trends in Cognitive Sciences, 27(7):597–600, 2023.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Can ai language models replace human participants? Trends in Cognitive Sciences, 27(7):597–600, 2023

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 19ca60b3-298d-4631-88e3-bf472a2e29f5 · outbound

This paper cites Teams of LLM Agents can Exploit Zero-Day Vulnerabilities.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Teams of LLM Agents can Exploit Zero-Day Vulnerabilities

Reference 10

Resolution
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no resolver link, observed 2026-08-06T12:43:16.769608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2edf240f-d9ae-4f25-97df-fe363c0287f8 · outbound

This paper cites EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers

Reference 11

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no resolver link, observed 2026-08-06T12:43:16.772782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 15e4c267-15af-464d-bca5-330965ae49b3 · outbound

This paper cites Ai language models cannot replace human research participants.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Ai language models cannot replace human research participants

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c523d54f-454f-4aa8-af78-06b43d995613 · outbound

This paper cites Spear Phishing With Large Language Models.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Spear Phishing With Large Language Models

Reference 13

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no resolver link, observed 2026-08-06T12:43:16.778997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:43:16.778997Z digest=sha256:c0e136dcd0198f47417d7a1bc62143b77d1d3c937101a99969c0409f1a609fea

Observation 2f1e1b74-87aa-44b1-872a-f23b8d59886c · outbound

This paper cites Devising and de- tecting phishing emails using large language models.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Devising and de- tecting phishing emails using large language models

Reference 14

Resolution
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raw_fallback, observed 2026-08-06T12:43:17.543152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d7414eac-798e-4a2f-a4ca-aeded9663cef · outbound

This paper cites On the humanity of con- versational ai: Evaluating the psychological portrayal of llms.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms On the humanity of con- versational ai: Evaluating the psychological portrayal of llms

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b346bae9-bb56-4afb-a425-fa72d71ff871 · outbound

This paper cites Towards automating social engineering using social networking sites.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Towards automating social engineering using social networking sites

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation fc39eb98-ddef-4438-b7f2-20a7a46fd2ad · outbound

This paper cites Towards ai-powered cybersecurity attack modeling with simulation tools: Re- view of attack simulators.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Towards ai-powered cybersecurity attack modeling with simulation tools: Re- view of attack simulators

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 54590f8e-ff85-4d50-a3d6-2c63894c2871 · outbound

This paper cites Simu- lation for cybersecurity: state of the art and future direc- tions.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Simu- lation for cybersecurity: state of the art and future direc- tions

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.794508Z digest=sha256:bacc7e4d27dbfdf9a28970e7ca37bfa78c60fdc24bb75b857d5a933018c7176c

Observation bc14fdd3-e706-45fe-a460-bbdf8c80285e · outbound

This paper cites Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c4e0d062-bd86-4845-a506-7a304a919966 · outbound

This paper cites Chat- phishdetector: Detecting phishing sites using large lan- guage models.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Chat- phishdetector: Detecting phishing sites using large lan- guage models

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.800819Z digest=sha256:8567c0d7dbc055b8050618e8fadb7d6ce1808f88ad024d45b2460774d42a37a4

Observation eb610c87-a9aa-432c-9ef0-ccbe82c01b84 · outbound

This paper cites Honeybot, your man in the middle for automated social engineering.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Honeybot, your man in the middle for automated social engineering

Reference 21

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raw_fallback, observed 2026-08-06T12:43:17.488675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.803670Z digest=sha256:9e1fb3e7efddb345b671114edf662921577780dd96c74d64c06e831ca78f9c66

Observation 54255aeb-41de-4fbe-b89e-bfb0cafb7ac6 · outbound

This paper cites Internet-based social engineering psychology, at- tacks, and defenses: A survey.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Internet-based social engineering psychology, at- tacks, and defenses: A survey

Reference 22

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raw_fallback, observed 2026-08-06T12:43:17.479723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.806582Z digest=sha256:f9556dd60ccf9b6b311cf1c4059e9d49f6dee984a61439ee06ea04641fcfa609

Observation 16eb0aa9-449b-4846-8b76-e36813353b94 · outbound

This paper cites Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data

Reference 23

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:43:16.809598Z digest=sha256:4008500d95dd356ab5d860ae1c1f1a5fdacd84cc50d4ed6834c8b7635a511144

Observation 97310f1c-0876-4223-9b59-56552d80a81c · outbound

This paper cites Harnessing gpt-4 for generation of cybersecurity grc policies: A focus on ransomware attack mitigation.Com- puters & security, 134:103424, 2023.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Harnessing gpt-4 for generation of cybersecurity grc policies: A focus on ransomware attack mitigation.Com- puters & security, 134:103424, 2023

Reference 24

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raw_fallback, observed 2026-08-06T12:43:17.469684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1d64c78b-a3b6-4609-98ac-bafabb64c9e4 · outbound

This paper cites Mirascope.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Mirascope

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.815703Z digest=sha256:5e8c2e698f504a917539c938fcdf7d6ee1d2253a9357bd9fb74e2965a5fb33e3

Observation ee043339-2579-4c9b-9443-fe3d8b103daa · outbound

This paper cites Large language models can outperform humans in social situational judgments.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Large language models can outperform humans in social situational judgments

Reference 26

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raw_fallback, observed 2026-08-06T12:43:17.441804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.821609Z digest=sha256:c6d1a1b8c5870fcabe5fb9882dc6df41296787d05f7d4149c37f03fa40136ef1

Observation 066acec0-71d4-49d0-b93c-e2f3f07ce508 · outbound

This paper cites Human cognition through the lens of social engineering cyberattacks.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Human cognition through the lens of social engineering cyberattacks

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:43:17.432622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.824783Z digest=sha256:1f80a180ac42606eec0a28f4ee79039cdd4940e740f9cc09168af7dabae46fa6

Observation a05799fc-8652-498c-b4e7-827309b91a41 · outbound

This paper cites Social engineering attack framework.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Social engineering attack framework

Reference 28

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raw_fallback, observed 2026-08-06T12:43:17.422445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.827659Z digest=sha256:cb1baef9b61e5b7b700e6adc16704b67deb50787d7ebcb483a53d573f5aac21d

Observation 2219a772-585a-4c9b-b9bc-fc7af291fa1a · outbound

This paper cites Prompted Contextual Vectors for Spear-Phishing Detection.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Prompted Contextual Vectors for Spear-Phishing Detection

Reference 29

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verified exact
local_arxiv, observed 2026-08-06T12:43:16.999771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.830435Z digest=sha256:e78e2a71ca38710b5468849150d424004366534eba84f42a5811b65196c2e4dc

Observation 2470ff85-1760-4253-bd12-120bc417fe9f · outbound

This paper cites Phishing: Spot and report scam emails, texts, websites and calls.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Phishing: Spot and report scam emails, texts, websites and calls

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:43:17.411628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.833349Z digest=sha256:57678fbff86988a2dfdc06a2d316ff6f04ae116cd4f4d6460f38e0746a6afc6c

Observation f651214a-4412-4cb6-ac47-6e466a338b57 · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.401818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.836067Z digest=sha256:1b5db4c7efaf0666e81cf16f7d8d4ba3b696c975ace93c53b020d6de6e1d1832

Observation a0a44a3c-c4c8-41d0-ac18-8e7213cae152 · outbound

This paper cites Applying large language model (llm) for developing cybersecurity poli- cies to counteract spear phishing attacks on senior cor- porate managers.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Applying large language model (llm) for developing cybersecurity poli- cies to counteract spear phishing attacks on senior cor- porate managers

Reference 32

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raw_fallback, observed 2026-08-06T12:43:17.392563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.839119Z digest=sha256:a06ce6c2a20df1a0f881b9c36827d0068a3bdbcdfa4e577bdfb9ff85cae50dd0

Observation 0a89dcd7-bc25-4298-b362-91871de00a39 · outbound

This paper cites Weaponizing data sci- ence for social engineering: Automated e2e spear phish- ing on twitter.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Weaponizing data sci- ence for social engineering: Automated e2e spear phish- ing on twitter

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:43:17.382326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.841887Z digest=sha256:d98626592cdf70c9ae7c1ac6ea5e5124e47d36fe76488e7e2563729c105819b7

Observation 3cc4d121-c05d-48ea-a62b-68e859e116f8 · outbound

This paper cites Social engineering attacks prevention: A systematic lit- erature review.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Social engineering attacks prevention: A systematic lit- erature review

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:43:17.372397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.844652Z digest=sha256:b05a2b3b65f810c9d406e0046c3e66e722212fb41b7cb0954b22255197f2708f

Observation fe1acf0a-6160-453e-90a9-bb3e32973df8 · outbound

This paper cites Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Psychological Profiling in Cybersecurity: A Look at LLMs and Psycholinguistic Features

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:43:16.986823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.847657Z digest=sha256:ce79498a5520f4b2fe2f92887f51be37b3ae0c9f5b8f413919be0396eb461f45

Observation f8ee7857-6719-439d-b0cb-a085f59d954a · outbound

This paper cites Large language models that replace human participants can harmfully misportray and flatten identity groups.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Large language models that replace human participants can harmfully misportray and flatten identity groups

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T12:43:16.850588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:43:16.850588Z digest=sha256:9a5c6bba7b737de1a8c3964b0f190945a2bf10105655c96680e5804d8717ed10

Observation ba5181e4-c6d4-4f77-abcf-216882516eab · outbound

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

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Chain-of-thought prompting elicits reasoning in large language models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T12:43:16.853474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:43:16.853474Z digest=sha256:759d2e0be984535364137ea73a7e88aff40f5452bed7db67f0a0c5f071d83fba

Observation a7a72f4d-2cb1-4e35-8c80-0cfc7a66441f · outbound

This paper cites List of psychological ef- fects — Wikipedia, the free encyclopedia.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms List of psychological ef- fects — Wikipedia, the free encyclopedia

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:43:17.356635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.856153Z digest=sha256:4ed286b70056d8dc8b582ec069c56618cdeb5940c9aa2de3bccec0fa79084fe1

Observation f4e83cb6-fb0f-4723-b3b7-9c7c873c5d5f · outbound

This paper cites List of social psychol- ogy theories — Wikipedia, the free encyclopedia.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms List of social psychol- ogy theories — Wikipedia, the free encyclopedia

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:43:17.346883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.861909Z digest=sha256:78f992167fe56923e4da6dc95d5a90c4a8e71578a3bcf00bf49181579d799b92

Observation 463f0234-ec18-432e-aacb-87382cb08d9d · outbound

This paper cites AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T12:43:16.870238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:43:16.870238Z digest=sha256:09a4dd9e5c2579808ad7837664ad0262a84581433b474df18361e49a17808f57

Observation edeefa67-ac52-4f4e-b801-f237a5e80b71 · outbound

This paper cites List of cognitive bi- ases — Wikipedia, the free encyclopedia.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms List of cognitive bi- ases — Wikipedia, the free encyclopedia

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:43:17.337287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.864515Z digest=sha256:92b26895956011c7e6d2929542ed22d38229e04c2e3415ae3f47649f8d78f661

Observation c91ff38d-ffbf-45b9-96bc-4044a82842c3 · outbound

This paper cites Cyber-physical power system (cpps): A review on modeling, simulation, and analysis with cyber security applications.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Cyber-physical power system (cpps): A review on modeling, simulation, and analysis with cyber security applications

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:43:17.319032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.875918Z digest=sha256:ddcf58378aaf87a638aaad52a537bd9154d50496edb8714d691b1b3b640338e3

Observation 888d83e5-3a99-40f7-abb9-da2d7de9109e · outbound

This paper cites {LLM-Fuzzer}: Scaling assessment of large language model jailbreaks.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms {LLM-Fuzzer}: Scaling assessment of large language model jailbreaks

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:43:17.309483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.878623Z digest=sha256:08bb79475ac586f0fb84e3a1a1d46593828a7cca5b1ba143194e21e42f8bdf73

Observation d40322b3-714b-47ed-84d4-097ff7a7d5b3 · outbound

This paper cites Contemplating social engineering stud- ies and attack scenarios: A review study.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Contemplating social engineering stud- ies and attack scenarios: A review study

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:43:17.328152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.873124Z digest=sha256:3d994aafcc6688eb5addfa9ae699a51eafa69482bae7ca7d877a504d79a60494

Observation bf01037a-35a9-45b9-92c8-cd1469e93c47 · outbound

This paper cites PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T12:43:16.881220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:43:16.881220Z digest=sha256:d0197e43d652b92f3736e409b55d67d277006b5811efe244ce5dabdab04880c9

Observation 835f570a-a0c8-4bdc-b001-65cf477c7ea6 · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.300557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.884525Z digest=sha256:593f330497e8449384fbc947c7c553afe9807abeb1f84aed0ac2bc3644207086

Observation 84d16211-8914-4a85-bc5a-3d078fa3d34e · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.291458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.887371Z digest=sha256:45b2ea93cc9a30aaa8ff0225e6557deebc92674eae0c1b75af1fca9ed31200af

Observation bf6e85f8-df2b-4a8a-b522-3a46090dea42 · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.282659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.890235Z digest=sha256:34124910f7a2978db9621b2be38f9e8b167b12237b203b273d70d8823af7ae68

Observation eedd704c-720c-4ef8-8ade-676f2e5f89d7 · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.273038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.893386Z digest=sha256:dc69c70f1dfec101db0b12ffcd5892976b5e011b254079c5451bbb00650c2a65

Observation 1ab18364-3038-404a-8d55-532753928247 · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.263646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.895994Z digest=sha256:8deb687624b0266314b688b7dc9a2f6fea581aafd3d83950763e80b2c4f11feb

Observation 262a38c1-4562-4623-8192-03e4b1aedfa6 · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.254432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.898656Z digest=sha256:06064824afadc2983978cb7dc87512d58e63064f55619d44bf51c592b98098c2

Observation a6b11c31-8c69-4916-b96e-c69d9f769a12 · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.244960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.901489Z digest=sha256:e60539bb8845487060ad80c5b6133cab986c46f815a8ef88501b2ed6aaf23cac

Observation 3d7fa64c-b8f8-4e7a-b6bb-5c9afa84f8d7 · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.235960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.904036Z digest=sha256:20675f1561e543469ae2c745b6f38891069b60ec75e3998fe62b9b42632f3dd6

Observation b8476748-0e9c-4d4e-be42-eedf736c56db · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.226944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.906759Z digest=sha256:0d3c5d980c32e20f23ef16be45f40ccae5492a0b4021272c82ade3f06784bbab

Observation 949a8a26-a5d9-4f7c-ad87-5b4f689ef1a4 · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.217356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.909463Z digest=sha256:0213041978569448c25556b96f9c884186f82b380bd45af5f568b1593e09274b

Observation e2fd0ffd-fc76-4815-af02-2c02388ec5b9 · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.207860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.912063Z digest=sha256:c10990f429708fef538c465954657b3da8db614537928e451ebd7ccde2fc3a5d

Observation fec50950-d8e7-42b0-a549-e5d82bed1b34 · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.198019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.915172Z digest=sha256:a9a121eeb51a0186c7616dd8569ec7b463f39065470808d1878fe242b3982c8f

Observation ac32c151-cb1a-4a60-8e63-9e70b46f64af · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.188562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.917742Z digest=sha256:2388a0217fdc6b0d506cc61e17062d99113c68f81e676c27b05c4ed621d0cc9a

Observation 439ec64d-f961-49dc-96a8-070c834eec2f · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.179055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.920387Z digest=sha256:010f6207d448dfb4aa78f312f9f4318f936a45a73970a8afe6c4af026cf9bd92

Observation ebc9e54d-2846-4a78-9e3f-e80f8b139a62 · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:43:17.168220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.923095Z digest=sha256:004f6b7b097e92d491b6ce7bc567cc8a01b43b2ca41ff802d320bd8ef5d87341

Observation e2b13ad4-a1a8-4f0d-a30f-39a5bc5a61e1 · outbound

This paper cites check out,.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms check out,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:43:17.159160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.925775Z digest=sha256:f3c2dac9396da67f7cc589310f063c1c11df3e7c8ab0c618a330a7cb9a0686fd

Observation d0e459ca-46c2-4761-9efb-9df8dc385e43 · outbound

This paper cites an unresolved cited work.

Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Unresolved cited work

Reference 2025

Resolution
parse uncertain
raw_fallback, observed 2026-08-06T12:43:17.451022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T12:43:16.867488Z digest=sha256:c59410f7481842cc285fbee1b0ba76e75ede48f14ddcde443ded4505da57c8a3

Pith citing papers

No inbound Pith citation observations are available.