Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2511.20597.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-10T12:20:03.672480Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation ec163114-becf-44a3-93ab-fe9b0a9c4a98 · inbound
The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems cites this paper.
The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Reference 139
- Resolution
- verified exact
- arxiv_id, observed 2026-08-13T01:24:45.972029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation baf82be7-dfea-4b6b-8cd6-4670ce1b7429 · inbound
Security Considerations for Multi-agent Systems cites this paper.
Security Considerations for Multi-agent Systems BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Reference 128
- Resolution
- verified exact
- arxiv_id, observed 2026-08-13T01:24:45.972029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation da654f9d-7022-4680-9295-d23daa2bc74c · inbound
Security Considerations for Artificial Intelligence Agents cites this paper.
Security Considerations for Artificial Intelligence Agents BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-08-13T01:24:45.972029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d7e137b8-c2d8-4911-adc2-736c8e256432 · inbound
TRUSTDESC: Preventing Tool Poisoning in LLM Applications via Trusted Description Generation cites this paper.
TRUSTDESC: Preventing Tool Poisoning in LLM Applications via Trusted Description Generation BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-08-13T01:24:45.972029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 773fa62e-314f-4ca0-8b5b-8efa398cc30a · inbound
Indirect Prompt Injection in the Wild: An Empirical Study of Prevalence, Techniques, and Objectives cites this paper.
Indirect Prompt Injection in the Wild: An Empirical Study of Prevalence, Techniques, and Objectives BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Reference 97
- Resolution
- verified exact
- arxiv_id, observed 2026-08-13T01:24:45.972029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d0eae604-3357-4766-a29f-6d9294fc6bb5 · inbound
Toward a Principled Framework for Agent Safety Measurement cites this paper.
Toward a Principled Framework for Agent Safety Measurement BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-08-13T01:24:45.972029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7b423caf-0233-4add-b9cb-150bac94caa5 · inbound
WAAA! Web Adversaries Against Agentic Browsers cites this paper.
WAAA! Web Adversaries Against Agentic Browsers BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-08-13T01:24:45.972029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 27dd033b-ee7d-416e-8881-03289350d7e4 · inbound
Securing Computer-Use Agents: A Unified Architecture-Lifecycle Framework for Deployment-Grounded Reliability cites this paper.
Securing Computer-Use Agents: A Unified Architecture-Lifecycle Framework for Deployment-Grounded Reliability BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Reference 191
- Resolution
- verified exact
- arxiv_id, observed 2026-08-13T01:24:45.972029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e903b718-ddd9-484f-8d4d-39f3ae39dbc1 · inbound
Web Agents Should Adopt the Plan-Then-Execute Paradigm cites this paper.
Web Agents Should Adopt the Plan-Then-Execute Paradigm BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-08-13T01:24:45.972029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a9f8880c-dfec-4ced-aff0-e506b530688d · inbound
WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections cites this paper.
WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-08-13T01:24:45.972029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6a8e7267-cf47-44be-b914-0f8d010ee7d7 · inbound
Trust No Tool: Evaluating and Defending LLM Agents under Untrusted Tool Feedback cites this paper.
Trust No Tool: Evaluating and Defending LLM Agents under Untrusted Tool Feedback BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-08-13T01:24:45.972029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation beaaeae9-eb3c-42f4-9656-2dfc7c89dad6 · inbound
Same-Origin Policy for Agentic Browsers cites this paper.
Same-Origin Policy for Agentic Browsers BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-08-13T01:24:45.972029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a3f6ca82-9601-47c5-b96a-4c7e8323c4ab · inbound
Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense cites this paper.
Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Reference 87
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-08-13T01:24:45.972029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6267cd72-2123-43bd-a78a-12204f61f320 · inbound
Prismata: Confining Cross-Site Prompt Injection in Web Agents cites this paper.
Prismata: Confining Cross-Site Prompt Injection in Web Agents BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents
Reference 97
- Resolution
- verified exact
- arxiv_id, observed 2026-08-13T01:24:45.972029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.