Paper Citation Record · LEDGER

Agents Are All You Need for LLM Unlearning

As of 14 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 3 inbound Pith citation observations for arXiv:2502.00406.

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

pith.paper-citation-record.v1
2502.00406 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:14:53.773835Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:51.628600Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:42:36.167843Z

Reference resolution

50 of 50 outbound references displayed

verified exact0
verified fuzzy3
unresolved44
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 73ca1e57-ce3e-4135-a47e-4a8cd85c654d · outbound

This paper cites Phi-4 Technical Report.

Agents Are All You Need for LLM Unlearning Phi-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.161357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 697a1c6b-8916-44af-9c49-39c0a9307c6e · outbound

This paper cites Qwen Technical Report.

Agents Are All You Need for LLM Unlearning Qwen Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.242538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80bb09f6-82ba-429a-a1a3-db5b40ec17e1 · outbound

This paper cites Language Models are Few-Shot Learners.

Agents Are All You Need for LLM Unlearning Language Models are Few-Shot Learners

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.245422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 459a3ca5-7c14-4fae-a174-ba13850b0e30 · outbound

This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

Agents Are All You Need for LLM Unlearning ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.253246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd9efe78-0e13-47c1-9139-f480535c00e7 · outbound

This paper cites Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport.

Agents Are All You Need for LLM Unlearning Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.256517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4da03d3-2819-4841-8be7-58c05f293e89 · outbound

This paper cites Who's Harry Potter? Approximate Unlearning in LLMs.

Agents Are All You Need for LLM Unlearning Who's Harry Potter? Approximate Unlearning in LLMs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.259874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0dc0990-d8a3-46b7-88cb-9ab153025538 · outbound

This paper cites SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation.

Agents Are All You Need for LLM Unlearning SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.263583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2274bd20-2e82-44ec-97e7-f49a15c8fae4 · outbound

This paper cites LLM Agents can Autonomously Hack Websites.

Agents Are All You Need for LLM Unlearning LLM Agents can Autonomously Hack Websites

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.267105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e091109-17eb-48bb-8eb0-f5a0890ecadd · outbound

This paper cites Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening.

Agents Are All You Need for LLM Unlearning Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.270423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aececc8-a8d7-4922-b474-9465513b3409 · outbound

This paper cites The Llama 3 Herd of Models.

Agents Are All You Need for LLM Unlearning The Llama 3 Herd of Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.290678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a635404a-a149-49ee-9327-e0304b5a9188 · outbound

This paper cites Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue.

Agents Are All You Need for LLM Unlearning Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.382326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b95cae4-ac6a-4c83-8af2-7848a02177eb · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Agents Are All You Need for LLM Unlearning DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.483060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2018ba52-e5a2-4390-b4aa-44ce1e9dc078 · outbound

This paper cites Risk and Response in Large Language Models: Evaluating Key Threat Categories.

Agents Are All You Need for LLM Unlearning Risk and Response in Large Language Models: Evaluating Key Threat Categories

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.485638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac1fdc6b-31ae-46e3-b258-982c56e5ce44 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Agents Are All You Need for LLM Unlearning LoRA: Low-Rank Adaptation of Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.492040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f29d603-e913-4e26-980b-a9d54e9cd7f5 · outbound

This paper cites Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy.

Agents Are All You Need for LLM Unlearning Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.495399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55806582-a37b-4bc8-824f-7fd18e833c1c · outbound

This paper cites Copyright Violations and Large Language Models.

Agents Are All You Need for LLM Unlearning Copyright Violations and Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.502562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3967cc9-f1b6-480b-9cde-3dd1a1d62a3b · outbound

This paper cites Black-Box Forgetting.

Agents Are All You Need for LLM Unlearning Black-Box Forgetting

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T19:14:54.409098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 428d67e5-a9b9-4ade-9bf1-37c8a8441d2e · outbound

This paper cites The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

Agents Are All You Need for LLM Unlearning The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.509663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a0fb0af-2ff1-4190-a963-804e5f1565c7 · outbound

This paper cites Let's Verify Step by Step.

Agents Are All You Need for LLM Unlearning Let's Verify Step by Step

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.512881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a211bf3b-75b7-42ee-b05f-fc00526cfa38 · outbound

This paper cites TOFU: A Task of Fictitious Unlearning for LLMs.

Agents Are All You Need for LLM Unlearning TOFU: A Task of Fictitious Unlearning for LLMs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.647422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c41d5a4-730b-4c3a-8a68-191552b8341d · outbound

This paper cites PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails.

Agents Are All You Need for LLM Unlearning PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.691478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a9efc22-efc0-474e-8654-fb0db30ac74e · outbound

This paper cites 3 12 Seth Neel, Aaron Roth, and Saeed Sharifi-Malvajerdi.

Agents Are All You Need for LLM Unlearning 3 12 Seth Neel, Aaron Roth, and Saeed Sharifi-Malvajerdi

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.698712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b20c1e0-aa67-4f89-8ba7-c5849a1762ed · outbound

This paper cites Descent-to-Delete: Gradient-Based Methods for Machine Unlearning.

Agents Are All You Need for LLM Unlearning Descent-to-Delete: Gradient-Based Methods for Machine Unlearning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.702008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d520179-86f4-4f8f-ae9f-e00c90236449 · outbound

This paper cites In-Context Unlearning: Language Models as Few Shot Unlearners.

Agents Are All You Need for LLM Unlearning In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.705924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41a1fa52-d708-4f25-817a-bc453e68e948 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Agents Are All You Need for LLM Unlearning Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.709757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da36e0d7-812a-4822-b9ab-cf67e46b317f · outbound

This paper cites Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks.

Agents Are All You Need for LLM Unlearning Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.713226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d2df703-41cf-46eb-b373-a70eab7856fa · outbound

This paper cites SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding.

Agents Are All You Need for LLM Unlearning SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding

Reference 34

Resolution: metadata mismatch; local_arxiv, observed 2026-08-09T19:14:54.268517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3d848e5d-3895-4631-9e7a-b58f4573cde8 · outbound

This paper cites Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation.

Agents Are All You Need for LLM Unlearning Scalable and Transferable Black-Box Jailbreaks for Language Models via Persona Modulation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.721398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3201ef9-3f6f-415c-92f0-79164b48e087 · outbound

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

Agents Are All You Need for LLM Unlearning "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.725058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a2e52a1-6cd6-461a-9aea-2266498ff86d · outbound

This paper cites UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs.

Agents Are All You Need for LLM Unlearning UnStar: Unlearning with Self-Taught Anti-Sample Reasoning for LLMs

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.728446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 764866da-c3d0-4d9c-8759-3e0493d42aec · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Agents Are All You Need for LLM Unlearning Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.731945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ae4c724-bab8-4352-8f65-4e9c73bd9c60 · outbound

This paper cites Beyond Memorization: Violating Privacy Via Inference with Large Language Models.

Agents Are All You Need for LLM Unlearning Beyond Memorization: Violating Privacy Via Inference with Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.735213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cee042cb-3cdd-4ec0-afd3-8cc37c92f238 · outbound

This paper cites doi: 10.1109/tnnls.2023.3266233.

Agents Are All You Need for LLM Unlearning doi: 10.1109/tnnls.2023.3266233

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.737916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac1bc579-95c5-4336-a130-99c3b9f04a8a · outbound

This paper cites Guardrail Baselines for Unlearning in LLMs.

Agents Are All You Need for LLM Unlearning Guardrail Baselines for Unlearning in LLMs

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.740648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69591d45-a7c3-47cb-92d9-4c63d0fc518b · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Agents Are All You Need for LLM Unlearning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.743261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf6c9090-5d42-4bf4-aa3b-edff5c3d10a5 · outbound

This paper cites KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.

Agents Are All You Need for LLM Unlearning KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.750909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2041b23a-09ec-48f0-9f83-8356c94a836b · outbound

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

Agents Are All You Need for LLM Unlearning Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.754602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd391a8c-b209-4c38-9b87-59e4f199c4dc · outbound

This paper cites doi: 10.1109/tetci.2024.3379240.

Agents Are All You Need for LLM Unlearning doi: 10.1109/tetci.2024.3379240

Reference 46

Resolution: metadata mismatch; raw_fallback, observed 2026-08-09T19:14:53.881461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 000271d4-ba5e-485d-a81c-e51c9b5a2a1e · outbound

This paper cites Large Language Model Unlearning.

Agents Are All You Need for LLM Unlearning Large Language Model Unlearning

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.761354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86629995-19d2-47c0-8c7a-3600172e3381 · outbound

This paper cites true way.

Agents Are All You Need for LLM Unlearning true way

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:14:54.603384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1edc386f-a7c2-4681-bb40-8b8c21f97458 · outbound

This paper cites How was Victor Krum’s Yule Ball experience?.

Agents Are All You Need for LLM Unlearning How was Victor Krum’s Yule Ball experience?

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:14:54.594158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 29466268-d47b-4b9d-92f6-7f6e69c974ab · outbound

This paper cites negative instructions.

Agents Are All You Need for LLM Unlearning negative instructions

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:14:54.582490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 42baef5a-05cd-448c-9e8e-652166e089e0 · outbound

This paper cites URL https://www.sciencedirect.com/science/article/pii/S0079742108605368.

Agents Are All You Need for LLM Unlearning URL https://www.sciencedirect.com/science/article/pii/S0079742108605368

Reference 1989

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.695282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8cb0262-9add-4128-b307-67be9ee8f7f2 · outbound

This paper cites Large Language Model Unlearning via Embedding-Corrupted Prompts.

Agents Are All You Need for LLM Unlearning Large Language Model Unlearning via Embedding-Corrupted Prompts

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.551618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b4c9078-a502-4a8d-9618-6ae5006dbf8c · outbound

This paper cites an unresolved cited work.

Agents Are All You Need for LLM Unlearning Unresolved cited work

Reference 2016

Resolution: unresolved; raw_fallback, observed 2026-08-09T19:14:54.612457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7639f963-bf00-4670-9164-f826a042eb2e · outbound

This paper cites Better Fine-Tuning by Reducing Representational Collapse.

Agents Are All You Need for LLM Unlearning Better Fine-Tuning by Reducing Representational Collapse

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.236155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3c2483a-fc3a-433b-8fc9-503706d8d51c · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Agents Are All You Need for LLM Unlearning Measuring Massive Multitask Language Understanding

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.488634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93902d24-9b48-4c8b-bc08-47adab52fab8 · outbound

This paper cites SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning.

Agents Are All You Need for LLM Unlearning SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.498926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72569569-2940-487a-8035-cae8fd308039 · outbound

This paper cites The Falcon Series of Open Language Models.

Agents Are All You Need for LLM Unlearning The Falcon Series of Open Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.239588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca558b9c-711f-413b-be17-fce39c764a68 · outbound

This paper cites InternLM2 Technical Report.

Agents Are All You Need for LLM Unlearning InternLM2 Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.249130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 181ab00f-b161-4a09-9534-ffd81d1b815d · inbound

SoK: Machine Unlearning for Large Language Models cites this paper.

SoK: Machine Unlearning for Large Language Models Agents Are All You Need for LLM Unlearning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:51.628600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cc72244-9c60-41b7-b302-d3a0fe37abb0 · inbound

The Realignment Problem: When Right becomes Wrong in LLMs cites this paper.

The Realignment Problem: When Right becomes Wrong in LLMs Agents Are All You Need for LLM Unlearning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:30:35.773950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1a34d933-c4a2-4687-9cec-37070a764b17 · inbound

"I Strongly Suspect This Website Is a Scam": Benchmarking PII Leakage and Detection without Defense in Autonomous Web Agents cites this paper.

"I Strongly Suspect This Website Is a Scam": Benchmarking PII Leakage and Detection without Defense in Autonomous Web Agents Agents Are All You Need for LLM Unlearning

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:42:36.169252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.