Paper Citation Record · LEDGER

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search

As of 9 August 2026, this Paper Citation Record lists 100 of 102 outbound references and 3 inbound Pith citation observations for arXiv:2502.04951.

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

pith.paper-citation-record.v1
2502.04951 v3

Coverage vector

measured 100 of 102 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:57:43.713954Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T03:09:59.710039Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T03:10:16.809113Z

Reference resolution

100 of 102 outbound references displayed

verified exact2
verified fuzzy49
unresolved48
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 898bd2b6-4e33-414d-9bc8-724b607e8194 · outbound

This paper cites https://chat.openai.com/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://chat.openai.com/, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.308805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 707d991b-9887-4f82-be96-e3beacb0621e · outbound

This paper cites https://checkphish.bolster.ai/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://checkphish.bolster.ai/, 2025

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.315167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd292d28-94e8-4f04-8930-9bb3d62fd732 · outbound

This paper cites https://www.doubao.com/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://www.doubao.com/, 2025

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.319815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 975e7e90-90ac-44ca-b538-d4a4f6906e3c · outbound

This paper cites https://www.google.com/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://www.google.com/, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.324280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 353dc71d-fa9c-4e57-a0c0-243fe4a02997 · outbound

This paper cites https://trends.google.com/ trends/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://trends.google.com/ trends/, 2025

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.328805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15e3eb14-34c1-461e-8ee1-5c95e3ea8768 · outbound

This paper cites https://x.ai/grok, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://x.ai/grok, 2025

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.333185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 742ca265-8524-4a87-a18f-2fc74c6debfc · outbound

This paper cites https://kimi.moonshot.cn/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://kimi.moonshot.cn/, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.338138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47353eb3-9e35-4dff-b594-2d5d5c968b7a · outbound

This paper cites https://otx.alienvault.com/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://otx.alienvault.com/, 2025

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.342387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3686bfd-bf44-454a-8835-2052b8da4b57 · outbound

This paper cites https://metamask.io/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://metamask.io/, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.346444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54b442b5-81f0-4779-aefd-eaced35e98c0 · outbound

This paper cites https://www.bing.com/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://www.bing.com/, 2025

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.350513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f57341b6-302a-4286-807d-a29ed3aef962 · outbound

This paper cites https://copilot.microsoft.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://copilot.microsoft

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.354477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e64996b5-a921-43fb-9e0b-0c3eff4472ee · outbound

This paper cites https://platform.openai.com/docs/ models/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://platform.openai.com/docs/ models/, 2025

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.358160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4f65d4c-1f98-4a34-89fc-fd238505ed55 · outbound

This paper cites https://www.perplexity.ai/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://www.perplexity.ai/, 2025

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.361748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbb6e491-e5f3-4e63-b131-d9faf39aa977 · outbound

This paper cites https://phishtank.com/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://phishtank.com/, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.365527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35704046-3256-4b77-b136-2ebe12f7d4da · outbound

This paper cites https://www.quora.com/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://www.quora.com/, 2025

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.369407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6f9d5a5-f4ee-4974-b8a9-e7138ab60994 · outbound

This paper cites https://www.scamadviser.com/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://www.scamadviser.com/, 2025

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.373155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ec666c1-838e-4a03-87ba-401ec687f3a6 · outbound

This paper cites https://www.surbl.org/surbl-analysis/ lookup, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://www.surbl.org/surbl-analysis/ lookup, 2025

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.376858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 099c4f4b-2590-4670-8870-3aed9a9803e5 · outbound

This paper cites https://app.textcortex.com/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://app.textcortex.com/, 2025

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.380518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d530701-3437-43fa-a0db-b0537786127e · outbound

This paper cites https://x.threatbook.com/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://x.threatbook.com/, 2025

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.384377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61f13988-d148-4894-82d5-b2ccf182ac34 · outbound

This paper cites https://www.wikipedia.org/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://www.wikipedia.org/, 2025

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.387970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f1fc4f2-b616-43da-adeb-0e7aceb98c2d · outbound

This paper cites https://x.com/, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search https://x.com/, 2025

Reference 21

Resolution: parse uncertain; no resolver link, observed 2026-08-08T20:57:43.391862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e206aa-51b7-4925-9df3-7f5d880fd9a1 · outbound

This paper cites Visualphishnet: Zero-day phishing website detection by visual similarity.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Visualphishnet: Zero-day phishing website detection by visual similarity

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.395789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c07afa3-7b78-4a09-880d-71943bf241fa · outbound

This paper cites Phishing attacks detection using machine learning approach.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Phishing attacks detection using machine learning approach

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:45.142263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1541d079-477f-452c-82a6-cfc109827064 · outbound

This paper cites A survey of intelligent detection designs of html url phishing attacks.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search A survey of intelligent detection designs of html url phishing attacks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:45.128284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee9ac716-c78b-4486-aefb-7b0c2b97b452 · outbound

This paper cites A survey of url-based phishing detection.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search A survey of url-based phishing detection

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:45.113174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation afe93cbc-f010-4823-bb18-63512915c929 · outbound

This paper cites Language models are few-shot learners.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Language models are few-shot learners

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:45.098136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9396343f-4595-4168-b946-e061f00c359f · outbound

This paper cites Xgboost: A scal- able tree boosting system.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Xgboost: A scal- able tree boosting system

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:45.083656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5ac5dd6b-8dd1-4f83-bbd8-90ec25ef1c92 · outbound

This paper cites TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.419115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b42186d-5d0c-4cda-834c-b22da834504a · outbound

This paper cites Weighted kappa: Nominal scale agree- ment provision for scaled disagreement or partial credit.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Weighted kappa: Nominal scale agree- ment provision for scaled disagreement or partial credit

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:45.069315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53f49bb9-8540-4aed-8de9-a97d8abc7b26 · outbound

This paper cites Llm-based edge intelligence: A com- prehensive survey on architectures, applications, secu- rity and trustworthiness.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Llm-based edge intelligence: A com- prehensive survey on architectures, applications, secu- rity and trustworthiness

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:45.055046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4f2836e4-0324-40a1-87db-814a8365b25a · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.430984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8231307f-370e-4cd2-9f7f-e9de51d90e1f · outbound

This paper cites What is perplexity pro? https://www.perplexity.ai/help-center/en/ articles/10352901-what-is-perplexity-pro , 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search What is perplexity pro? https://www.perplexity.ai/help-center/en/ articles/10352901-what-is-perplexity-pro , 2025

Reference 32

Resolution: verified exact; raw_fallback, observed 2026-08-08T20:57:44.233557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4799705-8f12-4ea2-891f-be902ad48093 · outbound

This paper cites Safety misalignment against large language models.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Safety misalignment against large language models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:45.041705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da3cabd1-47f2-4366-91b6-400e2656eb2e · outbound

This paper cites Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injec- tion.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injec- tion

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:45.028496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9fa4fa75-8c8e-4a89-a526-117fda84c86c · outbound

This paper cites Artificial intelligence security and privacy: a survey.Sci- ence China Information Sciences, 2025.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Artificial intelligence security and privacy: a survey.Sci- ence China Information Sciences, 2025

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:45.014337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2f5de104-60e3-4a0e-98f6-10d10cb1eed4 · outbound

This paper cites an unresolved cited work.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:57:45.000354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2ce236ea-cdfc-45d9-afbe-c8e1320e2eef · outbound

This paper cites Survey of hallucination in natural language generation.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Survey of hallucination in natural language generation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.986329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e5233b7-5d3a-46c0-8d9a-695cfc4b4d9b · outbound

This paper cites Phishing webpage detection: Unveiling the threat land- scape and investigating detection techniques.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Phishing webpage detection: Unveiling the threat land- scape and investigating detection techniques

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.971288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f1d9587-67e2-4071-a1e9-4a00441e843f · outbound

This paper cites The measurement of observer agreement for categorical data.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search The measurement of observer agreement for categorical data

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.956674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 187687e9-8d38-444a-9715-97937e4550bf · outbound

This paper cites URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search URLNet: Learning a URL Representation with Deep Learning for Malicious URL Detection

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.465798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ece254ef-5935-47a8-9ce0-77d0b353b8d0 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.942672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9164ebcd-dc2b-4946-a490-b5ca605593df · outbound

This paper cites Phishpedia: A hybrid deep learning based approach to visually identify phishing webpages.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Phishpedia: A hybrid deep learning based approach to visually identify phishing webpages

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.928693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6e60825-d0af-458b-a0a7-21d089009536 · outbound

This paper cites Less defined knowl- edge and more true alarms: Reference-based phishing detection without a pre-defined reference list.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Less defined knowl- edge and more true alarms: Reference-based phishing detection without a pre-defined reference list

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.913110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28ba13d0-b6b0-4036-b65e-ffacd82bc6a3 · outbound

This paper cites Inferring phishing intention via webpage appearance and dynam- ics: A deep vision based approach.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Inferring phishing intention via webpage appearance and dynam- ics: A deep vision based approach

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.896872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e27f4c2-676e-4012-9ade-1c690c0c6c55 · outbound

This paper cites Automatic and Universal Prompt Injection Attacks against Large Language Models.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Automatic and Universal Prompt Injection Attacks against Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.488821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b70b97-688d-42a1-a6f8-1a5af3205360 · outbound

This paper cites Quantized Delta Weight Is Safety Keeper.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Quantized Delta Weight Is Safety Keeper

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.493412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 241ae5c1-707f-4d79-9f3b-cfd55a6867f1 · outbound

This paper cites Saul, Stefan Savage, and Geof- frey M.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Saul, Stefan Savage, and Geof- frey M

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.881495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 20de46c2-d8c5-499f-b087-103ea73c8f2d · outbound

This paper cites Intelligent Semantic Web Search Engines: A Brief Survey.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Intelligent Semantic Web Search Engines: A Brief Survey

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-08T20:57:44.101862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f63b65a9-cced-4276-898c-80eeb8e795c6 · outbound

This paper cites Ghorbani.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Ghorbani

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.866370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 461db5a3-b76e-4f36-851b-a4311b23eb2e · outbound

This paper cites Phishing-alarm: Robust and efficient phishing detection via page component similarity.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Phishing-alarm: Robust and efficient phishing detection via page component similarity

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.852641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bcd1841b-7b9b-49fe-889b-4f0e417a6390 · outbound

This paper cites Visual-similarity-based phishing detection.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Visual-similarity-based phishing detection

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.837753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 497a8595-ecbb-4de9-835b-a42fcede5934 · outbound

This paper cites The Llama 3 Herd of Models.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search The Llama 3 Herd of Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.518386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2b34cd0-1d93-4f09-8b81-912b7c9da2c2 · outbound

This paper cites Adversarial Search Engine Optimization for Large Language Models.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Adversarial Search Engine Optimization for Large Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.522329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b21d8a80-fc67-4fce-b6c9-ed19e26bb126 · outbound

This paper cites Investigating LLM Applications in E-Commerce.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Investigating LLM Applications in E-Commerce

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.526395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca384b86-44e2-43e8-bb81-9d5e7d2d6e68 · outbound

This paper cites Jalmbench: Benchmark- ing jailbreak vulnerabilities in audio language models.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Jalmbench: Benchmark- ing jailbreak vulnerabilities in audio language models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.530388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 744b5ab6-9e0d-4de8-aadf-3b4830d6298a · outbound

This paper cites Ignore previous prompt: Attack techniques for language models.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Ignore previous prompt: Attack techniques for language models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.534240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72cf1db4-feb5-42c8-836d-0bceba8915c5 · outbound

This paper cites Detec- tion of phishing websites using an efficient feature-based machine learning framework.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Detec- tion of phishing websites using an efficient feature-based machine learning framework

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.812984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a318998e-0524-4168-a3ce-b148861781df · outbound

This paper cites A brief review on search engine optimization.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search A brief review on search engine optimization

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.799813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1e6e3a5d-fef0-4ff6-8c5c-9ed3261c92f2 · outbound

This paper cites Somesha, Alwyn Roshan Pais, Routhu Srinivasa Rao, and Vikram Singh Rathour.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Somesha, Alwyn Roshan Pais, Routhu Srinivasa Rao, and Vikram Singh Rathour

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.786674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f53aa59a-7139-4f6d-85f7-52159075e043 · outbound

This paper cites Rothschild, Daniel G.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Rothschild, Daniel G

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.773714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 31f63575-9209-4aa1-b089-089200a2c28a · outbound

This paper cites A survey on semantic web search engine.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search A survey on semantic web search engine

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.760398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 432ba8ad-b83f-4991-8766-3276148e5cf0 · outbound

This paper cites Peftguard: Detecting backdoor attacks against parameter-efficient fine-tuning.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Peftguard: Detecting backdoor attacks against parameter-efficient fine-tuning

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.747581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6b306c5d-3278-4c30-8665-064781035636 · outbound

This paper cites Glue pizza and eat rocks - exploiting vulnerabilities in retrieval-augmented generative models.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Glue pizza and eat rocks - exploiting vulnerabilities in retrieval-augmented generative models

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.734763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5239e70e-79c1-4205-b11b-9c0c99273e56 · outbound

This paper cites A compre- hensive survey on poisoning attacks and countermea- sures in machine learning.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search A compre- hensive survey on poisoning attacks and countermea- sures in machine learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.721356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2621ea77-d6e7-4858-98de-294e0e2dca01 · outbound

This paper cites Creating large language model applications utilizing langchain: A primer on developing llm apps fast.International Con- ference on Applied Engineering and Natural Sciences, 2023.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Creating large language model applications utilizing langchain: A primer on developing llm apps fast.International Con- ference on Applied Engineering and Natural Sciences, 2023

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.707380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f3fcc5b5-0bc2-4157-bc41-07aadfb88e74 · outbound

This paper cites Hunting malicious tls certificates with deep neural networks.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Hunting malicious tls certificates with deep neural networks

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.692596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e9cc970b-4ea8-4d2c-8408-6fd7c5c8d1d7 · outbound

This paper cites Attention is all you need.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Attention is all you need

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.677990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 88ac13d6-ddce-4085-b9d5-13cddb052e12 · outbound

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

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Chain-of-thought prompting elicits reasoning in large language models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.662383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 94e24a9f-061c-4bcb-85b2-7f55be0e4ec0 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.585304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e5df8e4-d61f-4874-9e44-da2ef5f942d4 · outbound

This paper cites A comprehensive study of jailbreak attack versus defense for large language models.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search A comprehensive study of jailbreak attack versus defense for large language models

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.648761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d67bea61-0fbb-4b2e-8bdf-fc693e254edf · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search ReAct: Synergizing Reasoning and Acting in Language Models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.593279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42ef0b05-c04d-4001-969d-0ea98f067224 · outbound

This paper cites Data poisoning attacks against machine learning algorithms.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Data poisoning attacks against machine learning algorithms

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.634916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8bcc4d61-5791-4f0f-9293-c6aa22d3d377 · outbound

This paper cites Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.602204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14a2e49c-b973-413f-abd0-857e3691e2a6 · outbound

This paper cites Jailbreak Attacks and Defenses Against Large Language Models: A Survey.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Jailbreak Attacks and Defenses Against Large Language Models: A Survey

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.606806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dc885e7-71d5-41fa-aa77-466f672738cb · outbound

This paper cites Fc-attack: Jailbreaking large vision-language models via auto-generated flowcharts.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Fc-attack: Jailbreaking large vision-language models via auto-generated flowcharts

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.611542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 383d3700-170e-4f16-b0fd-f78cf81365da · outbound

This paper cites Cl-attack: Textual backdoor attacks via cross-lingual triggers.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Cl-attack: Textual backdoor attacks via cross-lingual triggers

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.621021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62f9c640-e219-46b4-8fc4-3b33bdfd1938 · outbound

This paper cites Phishing or not phishing? a survey on the detection of phishing websites.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Phishing or not phishing? a survey on the detection of phishing websites

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.606878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c4987acd-3e48-4441-91f7-83a942ae0d80 · outbound

This paper cites PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-08T20:57:43.624290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8434ba1f-9c1d-4ad5-a7e0-954f060d3032 · outbound

This paper cites Telegram official app.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Telegram official app

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.593479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba6ea44c-f960-4289-9f77-1decdac9c143 · outbound

This paper cites get-rich- quick.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search get-rich- quick

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.580052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 87d699bc-4e0d-4437-aacb-05e3ca98d100 · outbound

This paper cites While not always harmful, it can clutter inboxes, waste time, and sometimes lead to phishing or other malicious activities.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search While not always harmful, it can clutter inboxes, waste time, and sometimes lead to phishing or other malicious activities

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.566741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e2bca547-dc7d-4482-a4c7-5a7585b1141f · outbound

This paper cites It is designed to mislead, manipulate public opinion, or generate traffic for financial or political gain.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search It is designed to mislead, manipulate public opinion, or generate traffic for financial or political gain

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.553281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 58c81eb8-f2df-42b4-9b42-b07cf2fb1fc6 · outbound

This paper cites This website offers free gift cards but requires entering your credit card information.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search This website offers free gift cards but requires entering your credit card information

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.539712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5118e4fe-c999-4fff-8369-9dc2205dc71e · outbound

This paper cites - The URL offers free gift cards but requests credit card information, matching the definition of phishing.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search - The URL offers free gift cards but requests credit card information, matching the definition of phishing

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.526823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb5b71dd-6f62-467a-8bdb-1e86439770c0 · outbound

This paper cites - The content explicitly asks for credit card information, fulfilling this indicator.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search - The content explicitly asks for credit card information, fulfilling this indicator

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.513242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6f19cd75-631c-4b3a-94f4-6c63d7f62a76 · outbound

This paper cites an unresolved cited work.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:57:44.498737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb87a942-cd18-4d18-b7e8-a4dec673ee06 · outbound

This paper cites The Earth will be invaded by aliens next week, claims a report.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search The Earth will be invaded by aliens next week, claims a report

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.484019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62c82a7c-5c41-4310-8d40-5d4a4337b372 · outbound

This paper cites - The content claims an alien invasion without credible evidence, fitting the definition of fake news.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search - The content claims an alien invasion without credible evidence, fitting the definition of fake news

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.469517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e7d9a2e5-13e7-46b0-9976-ead87c099918 · outbound

This paper cites - The claim is sensationalized and unsupported by credible sources, meeting these indicators.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search - The claim is sensationalized and unsupported by credible sources, meeting these indicators

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.455690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 84a9a3db-9755-4072-a4fd-b54f70e5e623 · outbound

This paper cites an unresolved cited work.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:57:44.442830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 43845167-f867-49df-9dd5-ba4de9225d99 · outbound

This paper cites This website compiles open-access scientific papers for free download.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search This website compiles open-access scientific papers for free download

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.429579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4acb3901-2271-432c-a638-694002fd86d0 · outbound

This paper cites an unresolved cited work.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:57:44.416428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45b714c6-7b64-4e24-978a-cb61c3273648 · outbound

This paper cites an unresolved cited work.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:57:44.403425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 574386a7-c16d-416f-a3fd-1f59266f30d8 · outbound

This paper cites an unresolved cited work.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:57:44.389960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 560c1331-0c4c-4abf-8c27-d262ae9feafb · outbound

This paper cites /” sep- arated) in the URL. Redirection: Detects if the URL contains unexpected redi- rection markers (e.g., “//.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search /” sep- arated) in the URL. Redirection: Detects if the URL contains unexpected redi- rection markers (e.g., “//

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T20:57:44.376712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c13b6b1d-9036-4bd6-ad85-b9c391898fac · outbound

This paper cites an unresolved cited work.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:57:44.362269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b9f411c8-7bc5-42e0-95a7-bfef2c0d2b54 · outbound

This paper cites an unresolved cited work.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:57:44.348836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff6c05b7-3ad0-49c2-a737-4460f0b48a22 · outbound

This paper cites an unresolved cited work.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Unresolved cited work

Reference 98

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:57:44.334693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 398d057e-e1b7-4039-b12e-49f852246c25 · outbound

This paper cites an unresolved cited work.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:57:44.321629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 659a3c95-3a1f-443d-b3ef-34114b6ad0a3 · outbound

This paper cites an unresolved cited work.

Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:57:44.307721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 662b3739-e640-405a-b01f-e04529e1f58e · inbound

When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models cites this paper.

When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:31:11.626255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a51b35e1-c53d-4905-ab11-3a805fa62133 · inbound

PIIGuard: Mitigating PII Harvesting under Adversarial Sanitization cites this paper.

PIIGuard: Mitigating PII Harvesting under Adversarial Sanitization Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:11:15.272280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f6a58ea5-a3d7-42d5-a8da-0c324b905f4c · inbound

Synthetic Sources?: Auditing Generative Search Engine Citations for Evidence of AI-Generated Sources cites this paper.

Synthetic Sources?: Auditing Generative Search Engine Citations for Evidence of AI-Generated Sources Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:10:16.811358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.