Paper Citation Record · LEDGER

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization

As of 4 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 2 inbound Pith citation observations for arXiv:2604.24118.

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

pith.paper-citation-record.v1
2604.24118 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T03:07:21.524834Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:40:05.033819Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact1
verified fuzzy6
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch12

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38648840-d053-4eb0-be8d-b05dcf8a8c4b · outbound

This paper cites Defending Against Prompt Injection With a Few DefensiveTokens.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization Defending Against Prompt Injection With a Few DefensiveTokens

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:16:31.049398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6f7c90b8-2c6b-441a-8fe3-e71e38211f9d · outbound

This paper cites https://docs.cloud.google.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization https://docs.cloud.google

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:09.359110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a98aa8a6-22a5-46c6-9d90-c4fbcc500f1f · outbound

This paper cites Defending Against Indirect Prompt Injection Attacks With Spotlighting.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization Defending Against Indirect Prompt Injection Attacks With Spotlighting

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:28:55.556742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e46d2afd-0c0a-4d35-9f59-2d5818011af4 · outbound

This paper cites GPT-4o System Card.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization GPT-4o System Card

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T22:16:31.475909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5acdecc0-a3ec-40b9-9e28-78be41ea06be · outbound

This paper cites Promptlocate: Localizing prompt injection attacks.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization Promptlocate: Localizing prompt injection attacks

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:16:30.056074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 62cb19c6-20ab-4dd7-b231-467f86a45c7c · outbound

This paper cites InProceedings of the 2024 conference on empirical methods in natural language processing: industry track, pages 371–385.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization InProceedings of the 2024 conference on empirical methods in natural language processing: industry track, pages 371–385

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:09.353350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0758cb4a-9c1a-4ce4-84da-61f3390ff217 · outbound

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

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization Automatic and Universal Prompt Injection Attacks against Large Language Models

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:16:30.268382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f6f6a1bc-9684-4b1f-b6a5-71b586ac4d02 · outbound

This paper cites In 2025 IEEE Symposium on Security and Privacy (SP), pages 2190–2208.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization In 2025 IEEE Symposium on Security and Privacy (SP), pages 2190–2208

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:09.350682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0488dda1-cd25-4591-854a-0876e3cecff1 · outbound

This paper cites The Llama 3 Herd of Models.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization The Llama 3 Herd of Models

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T22:16:30.755496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f4c90596-ae9a-4b7c-b243-ae36149a6b88 · outbound

This paper cites cellmate: Sandboxing browser ai agents.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization cellmate: Sandboxing browser ai agents

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:16:32.359050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 37cbf9f3-494f-449a-a4fe-5cfa6f0b6dd7 · outbound

This paper cites Ignore Previous Prompt: Attack Techniques For Language Models.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization Ignore Previous Prompt: Attack Techniques For Language Models

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T22:16:32.209358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 27d3cb5b-29fd-4acd-80eb-021290cad666 · outbound

This paper cites 9 Gerald J Popek and Robert P Goldberg.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization 9 Gerald J Popek and Robert P Goldberg

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:16:29.937787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dbf93f3b-29a0-4f42-9167-ca6ac4953537 · outbound

This paper cites InProceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Secu- rity, pages 660–674.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization InProceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Secu- rity, pages 660–674

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:09.356257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0d540643-035f-498a-b251-c718ced57266 · outbound

This paper cites PromptArmor: Simple yet Effective Prompt Injection Defenses.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization PromptArmor: Simple yet Effective Prompt Injection Defenses

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:16:31.942505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 14c31d71-a508-46a2-988d-8d6d77f1f85a · outbound

This paper cites InProceed- ings of the 2009 ACM SIGPLAN/SIGOPS interna- tional conference on Virtual execution environments, pages 121–130.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization InProceed- ings of the 2009 ACM SIGPLAN/SIGOPS interna- tional conference on Virtual execution environments, pages 121–130

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:09.362088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e50554d4-97a1-45c3-a630-a85f144002b1 · outbound

This paper cites GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T22:16:31.245875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a6b9a0e8-0b36-4952-a915-54285597f024 · outbound

This paper cites In Proceedings of the 33rd ACM International Confer- ence on Multimedia, pages 10955–10964.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization In Proceedings of the 33rd ACM International Confer- ence on Multimedia, pages 10955–10964

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:23:09.348268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 51ca2548-2ad7-4fb1-8191-5594169a9fb9 · outbound

This paper cites an unresolved cited work.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-05-26T22:23:09.345363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation af9bf477-2843-42a9-acb7-81f110a10627 · outbound

This paper cites MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:16:30.500382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6ce32323-bb7a-402c-a512-5d461697239a · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T22:16:31.675479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 14d6e910-31d5-4ba8-be7a-354f80c8d7c1 · inbound

Protocol-Level Attacks on Agentic Commerce Platforms: A Cross-Platform Taxonomy, AIP-Bench, and Unified Defense cites this paper.

Protocol-Level Attacks on Agentic Commerce Platforms: A Cross-Platform Taxonomy, AIP-Bench, and Unified Defense AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T06:40:05.033819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e14d8970-0c9e-4951-a1ca-0975bdcf0c74 · inbound

Beyond Aggregate Risk: Role-Stratified Conformal Risk Control for LLM Tool Calls cites this paper.

Beyond Aggregate Risk: Role-Stratified Conformal Risk Control for LLM Tool Calls AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-31T17:44:15.652372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.