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Paper Citation Record · LEDGER

BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser Agents

As of 14 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.

pith.paper-citation-record.v1
2511.20597 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T12:20:03.672480Z

measured 1 of 1 external citation measurements

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T20:41:49.137745Z digest=sha256:af33793b73ed9c19d64a2e889df51e62e7a19c346f026bb6e2d61e06d6c4283b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T14:12:14.160789Z digest=sha256:db0c72095d976f3e608360046ea597406cb466cff516af35f23f1c85851c49de

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T12:37:27.153365Z digest=sha256:a2c321ee1a9647922166436ea90d90e999461f1a102aa95db43562f421c1a67f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T17:16:35.875601Z digest=sha256:0f709ea87eaa259b3e108a8dd27d5e1540a85b27a82e16b509231dc117922bfe

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T08:55:39.589773Z digest=sha256:82e4f25b09309e96cda169fadbb3f5a63d70e36d62198d60ad57651f608d562f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-09T13:59:04.866706Z digest=sha256:494e3c80a8495064ef2049b9ec75cb2e23c789c13092f02bb484ca5491a442a3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T16:08:51.850890Z digest=sha256:330b5f6c0fc2afffe32f3909002b062db642e8738170ec35eb0f31f0d9e2d3c2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-11T01:15:19.239355Z digest=sha256:6a8a8a8a07aa79284828e8c8b06014c31f13ecf29af2a040f844118342573aea

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-15T02:42:05.644536Z digest=sha256:29060a4c0c5d361877c61274a3611ee9cfd786d2aa4404c66b17e2e626dc64fd

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-30T20:16:13.413064Z digest=sha256:2bb3dd22b14070d62b9a1d9d54c3f7ba04d8f9b55e7196d2491509c67f190fa6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T23:26:15.658106Z digest=sha256:db5ed714508d7974f77d7b83405792305efad30a99c424cdf014161e8c8b9522

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-01T07:29:08.355105Z digest=sha256:be9da3ce10bc2288ce98ec7bb01dd73ece514a72576c836e9d0f8d90aa9078b3

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-07-01T01:44:07.700127Z digest=sha256:4ccc9a9457760ed94e80dd039de6ad9b06d7edd5a0fd92e70d170540d766f9ea

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-10T12:20:03.672480Z digest=sha256:91fb347645c5b3ce553c4dc81dd91e6b88e7a1ddd36362feaa914684e74ad872