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Paper Citation Record · LEDGER

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

As of 19 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 19 inbound Pith citation observations for arXiv:2505.04806.

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

pith.paper-citation-record.v1
2505.04806 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:23:40.195010Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:04:49.484768Z

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

53 of 53 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 97837223-2aa0-4df8-a363-fa684892c04e · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Prompt Injection attack against LLM-integrated Applications

Reference 1

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T23:23:38.338640Z digest=sha256:0a4b6a7e44a5f635e410ae11c2bd2fa7ce973bb6655060fd104d0454e52971e9

Observation 6d89cbd3-adce-4088-83fc-4f5e3d0cc22c · outbound

This paper cites Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

Reference 2

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source=pdf_text observed=2026-08-15T23:23:38.471705Z digest=sha256:37f44493d367f4d79c6c292c0c279e41d157dc77b3b521030f91fe12d5648968

Observation 3df3657c-6ccc-42c7-af13-82ccc6f0c0a7 · outbound

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

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Automatic and Universal Prompt Injection Attacks against Large Language Models

Reference 3

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source=pdf_text observed=2026-08-15T23:23:38.507217Z digest=sha256:3584427835d8cd76e26bca77e5965307a49f64d91f5806495584efc9a64ad146

Observation b2164a9a-68fa-4cc4-8929-2249acab2a71 · outbound

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

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

Reference 4

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source=pdf_text observed=2026-08-15T23:23:38.512490Z digest=sha256:7c06611b23ea3228c8c81c827ab9b08d836d63e7efc3eaefea166f68451142c9

Observation f28b7208-1548-4f9a-9831-6bf8ca84878a · outbound

This paper cites An Early Categorization of Prompt Injection Attacks on Large Language Models.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs An Early Categorization of Prompt Injection Attacks on Large Language Models

Reference 5

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source=pdf_text observed=2026-08-15T23:23:38.518333Z digest=sha256:37bd63faa30636182f36c27460610911055a939dd080a699349daa7d3e62386d

Observation cd1fe088-e004-445b-971b-65e87e989f59 · outbound

This paper cites ”Formalizing and Benchmarking Prompt Injection Attacks and Defenses.” 33rd USENIX Security Symposium (USENIX Security 24).

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs ”Formalizing and Benchmarking Prompt Injection Attacks and Defenses.” 33rd USENIX Security Symposium (USENIX Security 24)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:23:42.065400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:23:38.523465Z digest=sha256:4858a929256358d1e87e98d17e746c75cc77be2a541247b24e557bc153ed00e3

Observation 6437b681-feba-4f09-8893-65ba7d264590 · outbound

This paper cites Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection

Reference 7

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local_arxiv, observed 2026-08-15T23:23:40.841880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:23:38.610315Z digest=sha256:4aec5aeed374d8b744bd50cffa974317a6837ad153e5ceabb71f555c92cd5fed

Observation 328cb4cb-299a-44f3-9727-fe0db309ccb1 · outbound

This paper cites Attention Tracker: Detecting Prompt Injection Attacks in LLMs.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Attention Tracker: Detecting Prompt Injection Attacks in LLMs

Reference 8

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source=pdf_text observed=2026-08-15T23:23:38.670128Z digest=sha256:8fd1e6b467d65450b57efc1376301673297f238e4e59d02db6108bdf2910cfa3

Observation 2868d77d-19b5-4059-92d1-dfdb09c67ee9 · outbound

This paper cites Defense Against Prompt Injection Attack by Leveraging Attack Techniques.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Defense Against Prompt Injection Attack by Leveraging Attack Techniques

Reference 9

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source=pdf_text observed=2026-08-15T23:23:38.675165Z digest=sha256:03c0f77c70d34c571d79008ff8b6e91c19911c76b6ff427df1c229a9a90bc558

Observation fe01424b-657c-4b0c-8412-28644c1bf40e · outbound

This paper cites Palisade -- Prompt Injection Detection Framework.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Palisade -- Prompt Injection Detection Framework

Reference 10

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source=pdf_text observed=2026-08-15T23:23:38.680198Z digest=sha256:463ef9884663fac2650b7b69b2660de6e426d5a916e8151244ada99261aab5d3

Observation 8fd3fd14-a348-4069-957d-a83be6e5f729 · outbound

This paper cites SecAlign: Defending Against Prompt Injection with Preference Optimization.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs SecAlign: Defending Against Prompt Injection with Preference Optimization

Reference 11

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source=pdf_text observed=2026-08-15T23:23:38.685456Z digest=sha256:11b3d0c4a065d384403b2436ff3839ac141dfa53fd45b0cb191c2513b9b2ee1a

Observation e9ad3a65-c97c-47ae-aaa9-0d452f1aaf90 · outbound

This paper cites Goal-guided Generative Prompt Injection Attack on Large Language Models.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Goal-guided Generative Prompt Injection Attack on Large Language Models

Reference 12

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source=pdf_text observed=2026-08-15T23:23:38.786883Z digest=sha256:2f825d128c856447aa9657189b8e949549f0f6b7a7a6cc2cb548d8edb6f2683e

Observation e7e77cbb-4442-4bd3-a4a0-6ff80e6438dc · outbound

This paper cites UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models

Reference 13

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source=pdf_text observed=2026-08-15T23:23:38.869399Z digest=sha256:a8bdf37eb9d21663ba2421fcbe34c3269155ff9bce12cd78b186d4ad359cce06

Observation 0b2edb8b-276e-4a11-9b3f-65de8f13d6f6 · outbound

This paper cites Defeating Prompt Injections by Design.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Defeating Prompt Injections by Design

Reference 14

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source=pdf_text observed=2026-08-15T23:23:38.875414Z digest=sha256:ded835eb16a32473fe89459db17a3d1c19b5e5c05f77a13c4130e1833da7fdef

Observation 9e36fdde-7b4d-4e3c-a81f-dfbe9af0e352 · outbound

This paper cites Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Bypassing LLM Guardrails: An Empirical Analysis of Evasion Attacks against Prompt Injection and Jailbreak Detection Systems

Reference 15

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source=pdf_text observed=2026-08-15T23:23:38.880495Z digest=sha256:86277896b28065845ad14cedb25f963f48a8b498ceb8ebd427eb67a15e9fa322

Observation 41cd7e34-0076-451d-abf8-fb663c4d4f84 · outbound

This paper cites an unresolved cited work.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:23:38.885590Z digest=sha256:ee5f8cd9b05ec595d5587f6461f8bf756c5a789f18e1e548f225a4bfe596075b

Observation 4149331d-8c1e-489b-90e2-e59d19dd7339 · outbound

This paper cites an unresolved cited work.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Unresolved cited work

Reference 17

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:23:38.959765Z digest=sha256:d2d7abdf0d0b9d4028d460ed3b8f666cb50f19bb9eb92a12082b9e4a1d2bde14

Observation 4101df4e-50a5-45d4-85e1-86f1fae42c07 · outbound

This paper cites an unresolved cited work.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:23:39.052628Z digest=sha256:5f1813520ca8133ad522ecedc23f35e1fe3db1a902e6f32d700436c0a368d2c2

Observation e82be4fe-ca67-4e14-a170-3705ccbfa758 · outbound

This paper cites Manipulating Multimodal Agents via Cross-Modal Prompt Injection.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Manipulating Multimodal Agents via Cross-Modal Prompt Injection

Reference 19

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source=pdf_text observed=2026-08-15T23:23:39.058220Z digest=sha256:92ed4086eba9ad61a49d605a82559c8e195225f6bb902b1180736cef4453f660

Observation 12822dc7-cac7-4dfa-9c3b-56f72e097c21 · outbound

This paper cites TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models

Reference 20

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no resolver link, observed 2026-08-15T23:23:39.063597Z

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source=pdf_text observed=2026-08-15T23:23:39.063597Z digest=sha256:15894a9dc4f5512693111fbbc20fb366e20f7bb84863dce98669d8ba18d328db

Observation 171abf61-ac81-4ce2-9806-6e4055f9159e · outbound

This paper cites PromptShield: Deployable Detection for Prompt Injection Attacks.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs PromptShield: Deployable Detection for Prompt Injection Attacks

Reference 21

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source=pdf_text observed=2026-08-15T23:23:39.183975Z digest=sha256:b73585ba8a7e238e4f822fd00d96c2c0742b2318db7b12574bf4cdcba16168b7

Observation ff52a917-7417-4428-9880-a2eaba13327a · outbound

This paper cites an unresolved cited work.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:23:39.252659Z digest=sha256:20b6e4cdc1b8c509b70c5a43d333014b39e3184e502f6f300ebfd62935828e8a

Observation 6b14d12c-7307-4dee-a1b5-2e5e7912c4b8 · outbound

This paper cites Release Strategies and the Social Impacts of Language Models.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Release Strategies and the Social Impacts of Language Models

Reference 23

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source=pdf_text observed=2026-08-15T23:23:39.258054Z digest=sha256:c8e75565d74ea3035032ac8a6d99789483e6fe06d94bd733470c2d753cdb35ad

Observation 834ebb2f-4bce-4383-b76b-8d3fb44e2e00 · outbound

This paper cites Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Reference 24

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source=pdf_text observed=2026-08-15T23:23:39.263539Z digest=sha256:02d5b1ea5cfcf798410c6a5fca510e5c94cd7eda02205d37670e035c64dbeaea

Observation 3184cf16-b833-4fc4-8ec3-ba3e28d3e9f5 · outbound

This paper cites Holistic Evaluation of Language Models.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Holistic Evaluation of Language Models

Reference 25

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source=pdf_text observed=2026-08-15T23:23:39.355813Z digest=sha256:c911b3dee0ebf0722c028de46686f300b0c7e5b6613f53422523a0f5fe419d39

Observation bc219915-6f0d-4db6-9ede-2d030bd6c470 · outbound

This paper cites Language Models are Few-Shot Learners.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Language Models are Few-Shot Learners

Reference 26

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no resolver link, observed 2026-08-15T23:23:39.484606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.484606Z digest=sha256:4c9ec5d9d6d599767b02d4f435185971fccb880c562207504da8aa55ef1c4a9b

Observation fd258612-ae1a-4664-8bca-a69ba24c81d6 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 27

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no resolver link, observed 2026-08-15T23:23:39.489420Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.489420Z digest=sha256:d4a0c9ff01ee2ebf5b78e39ba9ae058c8b45fc1933bd17ce105196841fb2f7c1

Observation 39292bff-f7fb-4e3f-b61f-8cdede193efa · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 28

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no resolver link, observed 2026-08-15T23:23:39.495414Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.495414Z digest=sha256:30bd49ec330891ee07d186edf6c9eced1afdf4125c56dcf0f891e7f042dcc10e

Observation afe8b1b9-ee0c-41aa-9694-a9adba8de5be · outbound

This paper cites Toy Models of Superposition.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Toy Models of Superposition

Reference 29

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source=pdf_text observed=2026-08-15T23:23:39.575059Z digest=sha256:e15f4712deac3a23c58eb9c81884c23e1b3f73e4d4339636109f9d8f511ecb01

Observation cc9447ae-3a5a-4c71-a81a-a2f8de17cba6 · outbound

This paper cites Locating and Editing Factual Associations in GPT.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Locating and Editing Factual Associations in GPT

Reference 30

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no resolver link, observed 2026-08-15T23:23:39.627397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.627397Z digest=sha256:43f2718e1705efa6aa225225ce541fe9b45dda7d699890e568ca52cf1adedb48

Observation cdeb6590-80b5-4769-a9d0-b66659efd5f0 · outbound

This paper cites PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.632335Z digest=sha256:3d29d3e21e42b13af1163b3189984759f38cdb268d41379500ce6638c602fc97

Observation ada376f4-f4ad-48d2-8802-c1c77763686b · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs The Curious Case of Neural Text Degeneration

Reference 32

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no resolver link, observed 2026-08-15T23:23:39.637835Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.637835Z digest=sha256:f7eed10d9b9aaf4c2ea684c64bee4dea2a3f075f1433d2cf0dc2afc1bcbff09e

Observation 2d524a1b-152f-464e-a296-f3dfc6c96041 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 33

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no resolver link, observed 2026-08-15T23:23:39.688879Z

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source=pdf_text observed=2026-08-15T23:23:39.688879Z digest=sha256:7d39d5bba59e0e0ad8a0355bc28708fc08412ba9085dbb8cebf2e4095f5523ad

Observation 39da3e3f-c402-4b32-a4bf-21ed25482179 · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Fine-Tuning Language Models from Human Preferences

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.765004Z digest=sha256:298d91b5ef43b0282957479242b74797eb0a50a4d0edf6a86483754214c2828e

Observation 297accf1-55ca-4378-829d-335ac9cb3d76 · outbound

This paper cites and Gebru Timnit, et al.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs and Gebru Timnit, et al

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-15T23:23:41.496276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:23:39.819600Z digest=sha256:8cb9ee1799c494b6808f4d967bf89e410fce987e116a15b6365706f5e0957a71

Observation 57fb4b05-7b3d-4274-9dd8-311f092972ec · outbound

This paper cites ”Transformers: State-of-the- Art Natural Language Processing.” Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demon- strations.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs ”Transformers: State-of-the- Art Natural Language Processing.” Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demon- strations

Reference 36

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raw_fallback, observed 2026-08-15T23:23:41.344752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:23:39.824155Z digest=sha256:3a4969155702d8462589ee265fbcf51965a4aeaf36406e327725c37bc22a5f36

Observation 04315f27-236b-4c92-ada8-fa410db51ec3 · outbound

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

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 37

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no resolver link, observed 2026-08-15T23:23:39.828805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.828805Z digest=sha256:fc19a62bac9035ff300d9afe7ee8622fbed5f3b668adef9e964db76866592837

Observation 53716b10-733f-4ed7-8eeb-e954633f1122 · outbound

This paper cites Stealing Part of a Production Language Model.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Stealing Part of a Production Language Model

Reference 38

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no resolver link, observed 2026-08-15T23:23:39.833907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.833907Z digest=sha256:969148212610845e588a8e4b812dd080fd569efb25a5563f8fdcf41f9124ba6a

Observation ba097b7e-71b0-4aa0-ad86-941d60a99ce8 · outbound

This paper cites Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing

Reference 39

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no resolver link, observed 2026-08-15T23:23:39.838503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.838503Z digest=sha256:9d13ae326cd200735a05f4898f25806a0eaf0eae317d4bc6415e3de1e7837763

Observation 04627cad-7070-4824-8bd1-c0e2c164ced1 · outbound

This paper cites Large Language Models Struggle to Learn Long-Tail Knowledge.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T23:23:39.905174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.905174Z digest=sha256:289f677553773a4c4ddd2c3c0cd378f3a3a432cf48e21efd9a073c7708dfc9b7

Observation 9a2619fe-d5e1-454b-940f-3162fe302789 · outbound

This paper cites Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T23:23:39.938122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.938122Z digest=sha256:004abc44db5bef3b638dd47ba697850ff88a1e716400c477d25e36557b47833f

Observation fdc91344-0f8b-44d7-bd04-0b64329a8959 · outbound

This paper cites Playing Language Game with LLMs Leads to Jailbreaking.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Playing Language Game with LLMs Leads to Jailbreaking

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T23:23:39.943489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.943489Z digest=sha256:063a3de6cbc3d253b9ab78be2163c0a048f93b085d001cb2c9c39d7db4414eb0

Observation ccbb9345-793d-42ef-8b32-c29f73bd5535 · outbound

This paper cites StructuralSleight: Automated Jailbreak Attacks on Large Language Models Utilizing Uncommon Text-Organization Structures.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs StructuralSleight: Automated Jailbreak Attacks on Large Language Models Utilizing Uncommon Text-Organization Structures

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T23:23:39.949175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.949175Z digest=sha256:eef9981807b3daacae9e3c0b297a62b2c1c1865e31f5b05d750535fe81250631

Observation 909188c5-1b7a-43a9-96ee-eae7748e2c36 · outbound

This paper cites Poisoned LangChain: Jailbreak LLMs by LangChain.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Poisoned LangChain: Jailbreak LLMs by LangChain

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T23:23:39.954343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:39.954343Z digest=sha256:0ee9040e27f45299a7e595e0cb516763e98d05c9a3e8f091ad2c09147b734b82

Observation ba3374e2-e6bb-45c8-93fa-3afa15296de8 · outbound

This paper cites an unresolved cited work.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-15T23:23:41.124952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:23:39.959071Z digest=sha256:a6ce16c790ecb8d29262564f8622ff239dad1397def7acab9a31a907288da749

Observation 8c2f54ba-01d1-40a5-a6d4-938af8c9622d · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T23:23:40.005921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:40.005921Z digest=sha256:b8e3e201f7613c64c4bff9e8d51ce34cbae85b12f853e67ea8dacd52d60d72ad

Observation e4220f8e-69f3-40e6-9daf-7f85e658587c · outbound

This paper cites Attention Is All You Need.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Attention Is All You Need

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T23:23:40.061194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:40.061194Z digest=sha256:bbe9020903bd40f44334b437287d5da4eb88abb1b0ffd1721ff1829a895e7897

Observation 979fb9b6-03e6-486f-aae0-724a474c26f6 · outbound

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

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

Reference 48

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unresolved
no resolver link, observed 2026-08-15T23:23:40.065736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:40.065736Z digest=sha256:56e7fbf88c85473321c2542055900a41ee2fb598f75e80de048365c8360ca861

Observation c6b5509b-9eaf-45b5-8595-d08ae4c952ff · outbound

This paper cites A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T23:23:40.070766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:40.070766Z digest=sha256:8ba10befd6be4dad19dbb2e088629d17be71328900fb688df9954baecb4ff722

Observation c9ead203-7ee2-457b-b8a6-936da4431dc2 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs LLaMA: Open and Efficient Foundation Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T23:23:40.077430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:40.077430Z digest=sha256:55659b81aca05c3f2381918623ee718a9a677c78774e262ad11aa40566eef856

Observation dd416b66-20dc-45ff-b81d-b97c6513c309 · outbound

This paper cites ”Vicuna: An Open-Source Chatbot Impressing GPT- 4 with 90%* ChatGPT Quality” https://lmsys.org/blog/2023-03-30- vicuna/.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs ”Vicuna: An Open-Source Chatbot Impressing GPT- 4 with 90%* ChatGPT Quality” https://lmsys.org/blog/2023-03-30- vicuna/

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:23:41.052333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:23:40.107028Z digest=sha256:2c8ac747509402f3a7ee4db6f7b47c195ed12e98f701905c8f8e05fdaddef64e

Observation 5478201e-3baf-4281-b75f-734f20718923 · outbound

This paper cites ”Mistral 7B” https://mistral.ai/news/announcing-mistral-7b.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs ”Mistral 7B” https://mistral.ai/news/announcing-mistral-7b

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:23:41.036700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:23:40.190211Z digest=sha256:c571f1b98b45fdd352aa7550fbf2fd92aa845f20afffb598dd6a7886fd69aabe

Observation dac5c1e6-d03e-4c08-a215-a6a76c136554 · outbound

This paper cites ”Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)” arXiv preprint arXiv:2407.14937 (2024).

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs ”Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs)” arXiv preprint arXiv:2407.14937 (2024)

Reference 53

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no resolver link, observed 2026-08-15T23:23:40.195010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:23:40.195010Z digest=sha256:0a16462d906fc71b55c260ec9aa35ca07af07011d5b0de080490d57bb46e36ba

Pith citing papers

Observation 04941d1a-7427-48ec-a832-4c17fd59af40 · inbound

Exposing Hidden Backdoors in NFT Smart Contracts: A Static Security Analysis of Rug Pull Patterns cites this paper.

Exposing Hidden Backdoors in NFT Smart Contracts: A Static Security Analysis of Rug Pull Patterns Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T05:25:42.450138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:25:42.450138Z digest=sha256:6e4d3fcae933f5ab7042da4d71fa9f3875eb80b024a631c0c47b03e541cdff87

Observation b4282a96-6bb9-4961-b94c-0cb55c1f85d4 · inbound

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents cites this paper.

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 99

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no resolver link, observed 2026-08-06T21:34:45.015831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:45.015831Z digest=sha256:f6010fcd40d263bd109316f0a6f4761ef0f2ff4af142aca2336311db6610d82d

Observation f06f63dd-10ab-4e04-a6d4-df2ba5aebb24 · inbound

Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking cites this paper.

Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 16

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unresolved
no resolver link, observed 2026-08-06T19:56:05.267094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:56:05.267094Z digest=sha256:c5d3b2f3912c6ad4826fbc5334dca1114bab085787da7d94b21909337c14c634

Observation f8d9ef30-aa4e-4ba9-a68e-d3208452ff6f · inbound

PrompTrend: Continuous Community-Driven Vulnerability Discovery and Assessment for Large Language Models cites this paper.

PrompTrend: Continuous Community-Driven Vulnerability Discovery and Assessment for Large Language Models Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 31

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unresolved
no resolver link, observed 2026-08-15T18:04:49.484768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:04:49.484768Z digest=sha256:565166d6be9b8de87dc5f68acb0819152530cc47acdea85f944728093f7e7048

Observation a58a7cf7-5017-401d-bfc8-488a66d64766 · inbound

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization cites this paper.

POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 21

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unresolved
no resolver link, observed 2026-08-15T17:12:27.850565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:12:27.850565Z digest=sha256:10f84cc9c117346d0f04d8f16fd4b66cbd25a64e4312934b526dbd5c4fcab57c

Observation f9984e62-8605-4ef4-8134-5a73f9b6d88a · inbound

ANNIE: Be Careful of Your Robots cites this paper.

ANNIE: Be Careful of Your Robots Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 54

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unresolved
no resolver link, observed 2026-08-05T11:00:38.221707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:00:38.221707Z digest=sha256:9746c629fce2f595ce4fd820d6e5b0bea0f1c13fa6bc421275cbde9abf65fd39

Observation 4915318a-e3b8-4ea4-8341-f944fe4a7c5b · inbound

Beyond Context: Large Language Models' Failure to Grasp Users' Intent cites this paper.

Beyond Context: Large Language Models' Failure to Grasp Users' Intent Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T20:11:13.575849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T20:09:25.827452Z digest=sha256:80d2d698ae6ecc0e17764d1e6e0d89b98a5a84c7d70e7955cef1dc78de77cd75

Observation 267ac4c7-1726-48ad-87cc-fe52b623d097 · inbound

Whispers of Wealth: Red-Teaming Google's Agent Payments Protocol via Prompt Injection cites this paper.

Whispers of Wealth: Red-Teaming Google's Agent Payments Protocol via Prompt Injection Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T15:20:17.397162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-21T15:18:58.274360Z digest=sha256:2852203c4f056b7305f03f69603e0f26a0e86da15d705e0bd7eef2ec358fb029

Observation acb0caf6-b910-471d-bc89-14b628f3f354 · inbound

Evaluation and Hardening of LLM System Instructions Against Extraction via Encoding Attacks cites this paper.

Evaluation and Hardening of LLM System Instructions Against Extraction via Encoding Attacks Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-13T14:38:58.879673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:38:58.879673Z digest=sha256:c24383963570484cc6ca7b236b39ec58242dfccf8424230efe020c4d31f361e4

Observation 8658f980-8186-4615-b11b-930412589c82 · inbound

An AI Agent Execution Environment to Safeguard User Data cites this paper.

An AI Agent Execution Environment to Safeguard User Data Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:11:05.891404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T02:14:40.639143Z digest=sha256:7808a5905ffd80c33308000142537c203ab0959d76d635b872c279d32886cc39

Observation d42c1592-e1ca-42eb-8b34-26f2a22ef125 · inbound

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents cites this paper.

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:46:28.112736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T01:57:22.554881Z digest=sha256:8139db58cf283efd3c0a440eafc15c1b1e8702f58fb9619a480d6cb51f981ef4

Observation f3b68ddf-f963-4730-90a3-b625018c5aa8 · inbound

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents cites this paper.

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T13:45:45.437788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T22:52:54.684185Z digest=sha256:7ff23a3814746f187772ef6aaabd0b862427a959d44854a22a82e0e38cf0268f

Observation ec7cb2de-065f-4dac-865f-71bd54ed6d78 · inbound

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents cites this paper.

OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T05:17:31.221017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:17:31.221017Z digest=sha256:e4aab70056ee2001a0098cb434097cbec017821a4c68bbcb808712a8c53d1ea9

Observation fde27398-675a-4de3-a358-7073ae7f9a9e · inbound

MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection cites this paper.

MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:05:20.411461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-25T04:05:15.708438Z digest=sha256:17cc156dd605d196784f2b8e8935d702fb8f645ef930fff6585c001bcb599aae

Observation c6f664a5-4dfe-4664-a750-3302e263781a · inbound

Prompt Injection Detection is Regime-Dependent: A Deployment-Aware Evaluation with Interpretable Structural Signals cites this paper.

Prompt Injection Detection is Regime-Dependent: A Deployment-Aware Evaluation with Interpretable Structural Signals Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:43:50.228134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T18:41:03.566306Z digest=sha256:f7166c23e6a528238dc4dafb5b4ccc4efd5cf72228c14a5b8eed79abedc2f2d1

Observation a81e95ba-693a-486a-ac6d-7d77d24d1de0 · inbound

How Reliable Are AI Attackers Against a Fixed Vulnerable Target? A 400-Run Empirical Study of LLM Penetration Testing Consistency cites this paper.

How Reliable Are AI Attackers Against a Fixed Vulnerable Target? A 400-Run Empirical Study of LLM Penetration Testing Consistency Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T14:13:30.554033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T06:53:48.841077Z digest=sha256:ef91f5bf1615e2b9b144418149a22b49f8cf225a6b891cc60a9bbb901998e766

Observation d21b7dbd-c8a7-487e-ae3a-4a75b3def877 · inbound

ShareLock: A Stealthy Multi-Tool Threshold Poisoning Attack Against MCP cites this paper.

ShareLock: A Stealthy Multi-Tool Threshold Poisoning Attack Against MCP Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:19:54.253542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T04:07:14.506108Z digest=sha256:849489157f1092081c6c5adc9cbcfcd45c51994f57c6b8f1000b60ef2e049fb1

Observation c137ff90-863f-4cee-a111-6f3369f719e1 · inbound

kNNGuard: Turning LLM Hidden Activations into a Training-Free Configurable Guardrail cites this paper.

kNNGuard: Turning LLM Hidden Activations into a Training-Free Configurable Guardrail Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:08:42.782288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-03T17:03:06.656045Z digest=sha256:6df53af629c339a39127e04ad30b8f32121cb402364f2724fba99e78c072021d

Observation 73024db3-e914-4cc7-90d6-c919535614fb · inbound

kNNGuard: Turning LLM Hidden Activations into a Training-Free Configurable Guardrail cites this paper.

kNNGuard: Turning LLM Hidden Activations into a Training-Free Configurable Guardrail Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-12T08:27:42.250470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T08:27:42.250470Z digest=sha256:06db93d7a63d23821c952c71e0be768ced3dca32257e6ef1371287d6dd1b6d8b