Paper Citation Record · LEDGER

Spear Phishing With Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2305.06972.

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

pith.paper-citation-record.v1
2305.06972 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:04:33.457578Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:16:24.030578Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b85661fd-b5bb-479e-bea3-93725c2a825f · inbound

Jailbroken: How Does LLM Safety Training Fail? cites this paper.

Jailbroken: How Does LLM Safety Training Fail? Spear Phishing With Large Language Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:17:42.994890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec8e641b-cce0-4efe-935d-1ffa7f4e60f0 · inbound

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models cites this paper.

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models Spear Phishing With Large Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-17T08:39:28.112723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 52808e7d-0c82-4295-b72f-9eeb9a665270 · inbound

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models cites this paper.

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models Spear Phishing With Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-12T16:28:04.057582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 69e329c2-f20c-4242-a2ac-95fbb3154a78 · inbound

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation cites this paper.

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation Spear Phishing With Large Language Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:00:51.548747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5a891b0-a0e6-464a-94b9-e03252340017 · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models Spear Phishing With Large Language Models

Reference 248

Resolution: verified exact; arxiv_id, observed 2026-05-18T11:17:08.709512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba7e8388-6430-4110-b26f-cedd2ab27edb · inbound

LLM Cyber Evaluations Don't Capture Real-World Risk cites this paper.

LLM Cyber Evaluations Don't Capture Real-World Risk Spear Phishing With Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T22:04:33.457578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8d054ba-8c09-4edd-be97-db3efe0181b9 · inbound

Cyri: A Conversational AI-based Assistant for Supporting the Human User in Detecting and Responding to Phishing Attacks cites this paper.

Cyri: A Conversational AI-based Assistant for Supporting the Human User in Detecting and Responding to Phishing Attacks Spear Phishing With Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T17:19:44.135516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 388087b7-93a3-4211-8be7-13ff05381fa9 · inbound

Attacks on Machine-Text Detectors Retain Stylistic Fingerprints cites this paper.

Attacks on Machine-Text Detectors Retain Stylistic Fingerprints Spear Phishing With Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:12.971181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d191b0f-e804-4ca7-83f5-40cd29966215 · inbound

Cracking Aegis: An Adversarial LLM-based Game for Raising Awareness of Vulnerabilities in Privacy Protection cites this paper.

Cracking Aegis: An Adversarial LLM-based Game for Raising Awareness of Vulnerabilities in Privacy Protection Spear Phishing With Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:18.450654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0237721-2db5-44ed-9c0f-6ab4cdad0b3e · inbound

MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection cites this paper.

MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection Spear Phishing With Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:15.335698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b174b748-b56c-4d1d-8de9-fc0724f7a3e5 · inbound

Military AI Cyber Agents (MAICAs) Constitute a Global Threat to Critical Infrastructure cites this paper.

Military AI Cyber Agents (MAICAs) Constitute a Global Threat to Critical Infrastructure Spear Phishing With Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T04:27:40.141588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c540631-7b90-4b1a-83f4-db2764d76a06 · inbound

Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability cites this paper.

Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability Spear Phishing With Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:32:37.366010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80b1ca02-e5b2-4eee-9478-02fdb5d7fc13 · inbound

Circumventing Safety Alignment in Large Language Models Through Embedding Space Toxicity Attenuation cites this paper.

Circumventing Safety Alignment in Large Language Models Through Embedding Space Toxicity Attenuation Spear Phishing With Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:26:13.644775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c523d54f-454f-4aa8-af78-06b43d995613 · 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 Spear Phishing With Large Language Models

Reference 13

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92f69221-07f3-48d4-b130-fd0428948258 · inbound

JADES: A Universal Framework for Jailbreak Assessment via Decompositional Scoring cites this paper.

JADES: A Universal Framework for Jailbreak Assessment via Decompositional Scoring Spear Phishing With Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T14:51:03.671313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ced84a6b-4865-4211-a609-b7383746a48d · 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 Spear Phishing With Large Language Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-18T21:01:51.392133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cd411e46-a3fb-49d2-8a12-4bdd5d8ab87c · inbound

Character-Level Perturbations Disrupt LLM Watermarks cites this paper.

Character-Level Perturbations Disrupt LLM Watermarks Spear Phishing With Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T19:46:50.589714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c045e90a-c886-4084-adac-18a0017d8dfc · inbound

An Independent Safety Evaluation of Kimi K2.5 cites this paper.

An Independent Safety Evaluation of Kimi K2.5 Spear Phishing With Large Language Models

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:43:11.550995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be66978b-f0d4-4934-b2a4-0c350d99b635 · inbound

Large Language Models Generate Harmful Responses Using a Distinct Mechanism, Shared Across Harm Types cites this paper.

Large Language Models Generate Harmful Responses Using a Distinct Mechanism, Shared Across Harm Types Spear Phishing With Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:31:00.289967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0b9592c7-60cb-47ec-a123-fbce096a2b74 · inbound

Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language Models cites this paper.

Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language Models Spear Phishing With Large Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:25:59.507720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 27e1d575-1032-4f12-8894-dd920b4822eb · inbound

Process Matters more than Output for Distinguishing Humans from Machines cites this paper.

Process Matters more than Output for Distinguishing Humans from Machines Spear Phishing With Large Language Models

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:16:09.971747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0da9b06d-6559-456d-bcc5-e8597db8b39f · inbound

Process Matters more than Output for Distinguishing Humans from Machines cites this paper.

Process Matters more than Output for Distinguishing Humans from Machines Spear Phishing With Large Language Models

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:46:44.400923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b72ac158-53e3-4c16-8e88-342454f51e61 · inbound

PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks cites this paper.

PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks Spear Phishing With Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:17:02.392792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03c51c18-4a2a-4bed-8aeb-a61092c3c1dc · inbound

PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks cites this paper.

PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks Spear Phishing With Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:45:08.402323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef3a2f02-abfa-4503-ae49-25ea4361a306 · inbound

The End of Trust: How Agentic AI Breaks Security Assumptions cites this paper.

The End of Trust: How Agentic AI Breaks Security Assumptions Spear Phishing With Large Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:43.947085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b81514b9-c1e5-4687-841c-a0dac42c4704 · inbound

From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI cites this paper.

From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI Spear Phishing With Large Language Models

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:08:50.593231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec43087f-6f3c-4d40-8935-4d1238cb4c0c · inbound

Multilingual jailbreaking of LLMs using low-resource languages cites this paper.

Multilingual jailbreaking of LLMs using low-resource languages Spear Phishing With Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:33:13.002339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1390e46d-4be7-4231-ab82-345b302744ba · inbound

DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning cites this paper.

DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning Spear Phishing With Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:46:10.207018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d9cea878-8c65-4454-9710-1d60df9a65f1 · inbound

Investigating and Alleviating Harm Amplification in LLM Interactions cites this paper.

Investigating and Alleviating Harm Amplification in LLM Interactions Spear Phishing With Large Language Models

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T23:16:24.032911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba27317e-1c9e-4616-b5be-543229052a9e · inbound

Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety cites this paper.

Position: Preventing AI-Generated CSAM Necessitates New Approaches to AI Safety Spear Phishing With Large Language Models

Reference 151

Resolution: unresolved; no resolver link, observed 2026-07-12T14:28:50.627444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09b0e124-85c4-4065-89ac-509194da2c6b · inbound

AI Deployment and Cyber Governance Failures in Public-Sector Organizations: A Typological Analysis cites this paper.

AI Deployment and Cyber Governance Failures in Public-Sector Organizations: A Typological Analysis Spear Phishing With Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T02:42:52.201288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.