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Paper Citation Record · LEDGER

Agents at Risk: How Users Unwittingly Undermine LLM Safety

As of 9 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2601.10758.

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

pith.paper-citation-record.v1
2601.10758 v3

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:45:20.111398Z

measured 42 of 42 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T15:17:29.479184Z

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

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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

Outbound references

Observation e432f370-e493-4995-89d7-62900a34e679 · outbound

This paper cites Security and Privacy4(4), e159 (2021).

Agents at Risk: How Users Unwittingly Undermine LLM Safety Security and Privacy4(4), e159 (2021)

Reference 1

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source=pdf_text observed=2026-08-03T10:45:15.835365Z digest=sha256:fe6729977b53aee2927efe432639ff5b8b6a77a1f7570942c28f2cde6d260a19

Observation 35ecfa6f-2d8d-489f-ac22-73d674ff82be · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Constitutional AI: Harmlessness from AI Feedback

Reference 2

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source=pdf_text observed=2026-08-03T10:45:15.947776Z digest=sha256:b6dc24a1e8b7312630b5dcdd8861c7bd4b614b0ee7c2684510a8b4ae4815f2e8

Observation d11f8b85-1555-4fa0-8c3b-44052593c3c5 · outbound

This paper cites an unresolved cited work.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-03T10:45:16.101607Z digest=sha256:1483e7d07f5a194db3c37369bbaa3a66e11f3ff110c79f310191a451c573920b

Observation c9098b25-c8b6-4072-945e-51c76cf128f6 · outbound

This paper cites an unresolved cited work.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-03T10:45:16.246142Z digest=sha256:58fe058203fe701dba463a3ceeaaba670fa0426934ad9b87b4e77f5b2b91c2f7

Observation 51fba39d-55d5-47d6-96f6-8093a40e103f · outbound

This paper cites In: 2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML).

Agents at Risk: How Users Unwittingly Undermine LLM Safety In: 2025 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)

Reference 5

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source=pdf_text observed=2026-08-03T10:45:16.407118Z digest=sha256:c541ccf9cf81719b54e55b2ef636209aedfb0084ce389151c207a1490c2c60de

Observation b057cb23-5b13-48f2-a92e-f60277d028c0 · outbound

This paper cites Advances in Neural Information Processing Systems37, 26814–26845 (2024).

Agents at Risk: How Users Unwittingly Undermine LLM Safety Advances in Neural Information Processing Systems37, 26814–26845 (2024)

Reference 6

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source=pdf_text observed=2026-08-03T10:45:16.550874Z digest=sha256:3b9b1a15fde93c92b61a3ca0f8f9463ea018e656f46c1384032ef8aacf26dac3

Observation cc184c0e-2ad2-43d0-bde6-2e5ec1866066 · outbound

This paper cites GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM Agents.

Agents at Risk: How Users Unwittingly Undermine LLM Safety GuideBench: Benchmarking Domain-Oriented Guideline Following for LLM Agents

Reference 7

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source=pdf_text observed=2026-08-03T10:45:16.759066Z digest=sha256:28000b89bff6112a4954ba66a6d5b5e20b973b26e7f429eb827303601d004136

Observation a7b20850-bce2-4faa-bcba-f59675a3a9be · outbound

This paper cites In: 2025 IEEE Symposium on Security and Privacy (SP).

Agents at Risk: How Users Unwittingly Undermine LLM Safety In: 2025 IEEE Symposium on Security and Privacy (SP)

Reference 8

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source=pdf_text observed=2026-08-03T10:45:16.981213Z digest=sha256:5c33eb31c1abd1d7e3701c2d9a9396a64b5e8b2923e48700e8dc34ae3d8ad4bf

Observation 6ce0185b-63fe-4ab0-9523-f66284bf8351 · outbound

This paper cites International Journal of Human-Computer Studies125, 19–31 (2019).

Agents at Risk: How Users Unwittingly Undermine LLM Safety International Journal of Human-Computer Studies125, 19–31 (2019)

Reference 9

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source=pdf_text observed=2026-08-03T10:45:17.147032Z digest=sha256:d9d465033503068f8203740d19ca034d19837903505bd4a3b4330ab7f8ee6edd

Observation 62d9e10d-e54b-47f5-a2cd-8d29de7c77ee · outbound

This paper cites In: Proceedings of the 16th ACM workshop on artificial intelligence and security.

Agents at Risk: How Users Unwittingly Undermine LLM Safety In: Proceedings of the 16th ACM workshop on artificial intelligence and security

Reference 10

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source=pdf_text observed=2026-08-03T10:45:17.356157Z digest=sha256:b13277d7eea482890724704a7ecf2b5ec3d7ee6afdcfc4cb8120875597596c38

Observation 3f916113-a364-42c3-acfc-359bd3e7e16d · outbound

This paper cites Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast

Reference 11

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source=pdf_text observed=2026-08-03T10:45:17.529100Z digest=sha256:9528df28226e062cf88ff3c3fd90c2d10fd05bd7d7b6478d9f6ccff24cbfb0e3

Observation 8f4a2ed6-0dcf-41d9-9ffd-5b9939ece92d · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 12

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source=pdf_text observed=2026-08-03T10:45:17.794251Z digest=sha256:90cee9645cc38e87616d8c16d4490cc53f02441c4a7c86efa268abdc989fef5d

Observation 098376b3-d861-4325-b755-dd84821aa5df · outbound

This paper cites In: 33rd USENIX Security Symposium (USENIX Security 24).

Agents at Risk: How Users Unwittingly Undermine LLM Safety In: 33rd USENIX Security Symposium (USENIX Security 24)

Reference 13

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source=pdf_text observed=2026-08-03T10:45:17.903004Z digest=sha256:4842eeb677cbe4d7b5fbdb9dc0486c820a3548eb1979fff1c5ff290fe8e0991d

Observation a6761f49-a15c-48c6-a9b5-fa50afade2dc · outbound

This paper cites an unresolved cited work.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-03T10:45:17.956036Z digest=sha256:04cd05bac64ddfeca6b8384c1a3ec4bd7f79523a9149a8084610b674e9cb0dd6

Observation 6639fb5e-9397-4c43-9cbe-61c203c042ab · outbound

This paper cites an unresolved cited work.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-03T10:45:18.009539Z digest=sha256:2f1b5484005d8d6483e0934af3a7e60f7aa955eb52f0fdae6cc74d335a4ec4a3

Observation 4b0cef02-5cca-4e62-91f4-373d8fbbdd1f · outbound

This paper cites an unresolved cited work.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-03T10:45:18.080741Z digest=sha256:3cdae6b6095df385ffd97a0a0fa52837775cf58ef4e0e36b2bbf84d42b9e19bf

Observation 98b32e61-f9b1-48ef-955d-d23a9baee00c · outbound

This paper cites Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks

Reference 17

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source=pdf_text observed=2026-08-03T10:45:18.132433Z digest=sha256:de9254ce0f0672c57a460064e6f30449b4711a311d7fc31b35fa3aad460f644a

Observation 6c061f65-f33d-4717-992c-7a16f85f5a6a · outbound

This paper cites EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage.

Agents at Risk: How Users Unwittingly Undermine LLM Safety EIA: Environmental Injection Attack on Generalist Web Agents for Privacy Leakage

Reference 18

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source=pdf_text observed=2026-08-03T10:45:18.184723Z digest=sha256:366ff66ad3d40cc710ef780b941eb5cba1f9869052f025d47ff2dbcd3938963c

Observation 058bcab8-04cb-4988-b4dd-dcaf3433752d · outbound

This paper cites preferences.

Agents at Risk: How Users Unwittingly Undermine LLM Safety preferences

Reference 19

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source=pdf_text observed=2026-08-03T10:45:18.264083Z digest=sha256:ea1679bb54ed2f63b64339ee3be590204684285f6dc1a3cc4cbc721504efeb80

Observation 46489787-664c-4291-8fdb-c4afd4efd556 · outbound

This paper cites In: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems.

Agents at Risk: How Users Unwittingly Undermine LLM Safety In: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

Reference 20

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source=pdf_text observed=2026-08-03T10:45:18.320221Z digest=sha256:bab2b9639794d83c287fd967b51674c95348c361d1524d63830b74ae4b452520

Observation 7dc61b19-8dca-453a-862e-d1edeeb5e11c · outbound

This paper cites LASER: LLM Agent with State-Space Exploration for Web Navigation.

Agents at Risk: How Users Unwittingly Undermine LLM Safety LASER: LLM Agent with State-Space Exploration for Web Navigation

Reference 21

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source=pdf_text observed=2026-08-03T10:45:18.400841Z digest=sha256:ffdb0eacdd8ca1b36b8d7d1bced794a605c8a4982793274f835e6017db0506c7

Observation e9a8b1f2-b393-4d16-b0f8-34ebea8da355 · outbound

This paper cites an unresolved cited work.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-03T10:45:18.511551Z digest=sha256:3b1ff1ad1884dc77f54c725fdb7211402948b9543ecce545eac8c0f9887d0ecb

Observation 361e6f4e-b69f-43c8-97c5-4fe7c2bf7f9e · outbound

This paper cites an unresolved cited work.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-03T10:45:18.587713Z digest=sha256:15e234c99efb7906c034d7d6ba31a00bb50d8a6e81e9bd5298f4102be5e1efd6

Observation d3da10df-f534-48ab-a0ad-50638d088d1a · outbound

This paper cites an unresolved cited work.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-03T10:45:18.670577Z digest=sha256:40eb23fede01168647864488a15ad815d6c055c53e42bd3647789036b76dfd6c

Observation 597deca6-de6f-47f0-830b-c83d15f3a3d3 · outbound

This paper cites an unresolved cited work.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-03T10:45:18.726697Z digest=sha256:9d01bde520bb0388e1f7e95652f90e2a3497fc5f92e564c65cca7e4916decf95

Observation 2f75cb55-b457-4355-98b0-7f1fa8ccec48 · outbound

This paper cites Prompt Injection Attack to Tool Selection in LLM Agents.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Prompt Injection Attack to Tool Selection in LLM Agents

Reference 26

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source=pdf_text observed=2026-08-03T10:45:18.810302Z digest=sha256:eb0325c0229f9596508620327cbae4bffed6ca1c83325f750670908adfa7c6f0

Observation 0472dc87-c557-4a6e-9bd9-00eb3079e021 · outbound

This paper cites an unresolved cited work.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-03T10:45:18.863024Z digest=sha256:b7daad90e6abd467a85d0df41a36f750e019e1d44800c89fdb75c337c5d935bf

Observation 4f96b43a-9645-4d10-a587-a55a8a268b3b · outbound

This paper cites an unresolved cited work.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-03T10:45:18.916271Z digest=sha256:a70e8b9c65f586d3c439207c79ea4fa4ccfb4fbf5c226006aa1c2b611635f4df

Observation d814c3da-89c8-4c9b-9f9f-e3d0789e16b1 · outbound

This paper cites an unresolved cited work.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-03T10:45:19.042225Z digest=sha256:511709660baf970961daaa59732a83c754af33fc0c389ba1e51296da6c93ea2e

Observation e811ab58-647b-4606-a2f9-ae50bb07fdb3 · outbound

This paper cites an unresolved cited work.

Agents at Risk: How Users Unwittingly Undermine LLM Safety Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-03T10:45:19.160989Z digest=sha256:4131d546ed4d012e53ad4751f59cca58c0b7c966ffc0c8d7893cbcd6428a4eb0

Observation 8401c4a0-3dfa-42a8-a3f8-cf7fb49d5618 · outbound

This paper cites The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions.

Agents at Risk: How Users Unwittingly Undermine LLM Safety The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Reference 31

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source=pdf_text observed=2026-08-03T10:45:19.283817Z digest=sha256:c7d386e5de6c35d99b57a4e726694e2a8085ae470a581fac526703302758bd5c

Observation cd74da55-4d1c-4d56-b1a3-9cbab589d6fb · outbound

This paper cites arXiv e-prints pp.

Agents at Risk: How Users Unwittingly Undermine LLM Safety arXiv e-prints pp

Reference 32

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source=pdf_text observed=2026-08-03T10:45:19.434987Z digest=sha256:72112f6ab42eff1dab74377e1e0163da812c404756972b9c6bb481ce3e1ac16d

Observation 8c7bc88a-7877-42e1-aa37-ab93341389eb · outbound

This paper cites arXiv preprint arXiv:2510.19207 (2025).

Agents at Risk: How Users Unwittingly Undermine LLM Safety arXiv preprint arXiv:2510.19207 (2025)

Reference 33

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source=pdf_text observed=2026-08-03T10:45:19.491402Z digest=sha256:b6f3f2b433efba792dc3bac2be476252d414e7a4fb243bb0e3736bc9c3c8cd6a

Observation 57c7835c-cd00-4931-b37f-e1bede23007f · outbound

This paper cites In: NDSS (2025).

Agents at Risk: How Users Unwittingly Undermine LLM Safety In: NDSS (2025)

Reference 34

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source=pdf_text observed=2026-08-03T10:45:19.562067Z digest=sha256:39b1bb84a5bfee2af1d820008c8417fee8c28e08ef221c46d66cba720ab5fba6

Observation b149cb52-69c8-4166-9817-38d256c2f88f · outbound

This paper cites AdvAgent: Controllable Blackbox Red-teaming on Web Agents.

Agents at Risk: How Users Unwittingly Undermine LLM Safety AdvAgent: Controllable Blackbox Red-teaming on Web Agents

Reference 35

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source=pdf_text observed=2026-08-03T10:45:19.642964Z digest=sha256:148c7882aceed9b42f063c243467b30fa1158a517035939b7b49cdc8d8001ead

Observation bc236d1a-094c-4300-ab84-70e0ffb8542c · outbound

This paper cites BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models.

Agents at Risk: How Users Unwittingly Undermine LLM Safety BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models

Reference 36

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source=pdf_text observed=2026-08-03T10:45:19.715096Z digest=sha256:f863c7292d6fa6de86839923533136261189b19bba7fbc4d99e118aaf15bc120

Observation 3e346707-b1c3-48ab-809d-c875c1760100 · outbound

This paper cites In: Companion Proceed- ings of the 32nd ACM International Conference on the Foundations of Software Engineering.

Agents at Risk: How Users Unwittingly Undermine LLM Safety In: Companion Proceed- ings of the 32nd ACM International Conference on the Foundations of Software Engineering

Reference 37

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source=pdf_text observed=2026-08-03T10:45:19.729446Z digest=sha256:a701bfa7256f0ae2b44987416f723765677d53b98dc8bd68c05c77c34c935865

Observation b4b7f5e4-10c7-4788-bf5b-7202886e1e6b · outbound

This paper cites In: Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).

Agents at Risk: How Users Unwittingly Undermine LLM Safety In: Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:19.808251Z digest=sha256:1b413a65d9983bbbcdcc7d994d2dd060fb3ca3f04e21600fa637d0d08c4f1b67

Observation 06375c20-1ee5-4c50-981b-d6730bdeb901 · outbound

This paper cites IEEE Transactions on Dependable and Secure Computing21(6), 5242–5258 (2024).

Agents at Risk: How Users Unwittingly Undermine LLM Safety IEEE Transactions on Dependable and Secure Computing21(6), 5242–5258 (2024)

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T10:45:19.950155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:19.950155Z digest=sha256:b1ab84d427af7a0b99a20ab2a6d5e51cb99a6c923e452e46b784edf90eead9e3

Observation d6a0271f-1b66-4b1f-afef-b937aaeeb5af · outbound

This paper cites In: 34th USENIX Security Symposium (USENIX Security 25).

Agents at Risk: How Users Unwittingly Undermine LLM Safety In: 34th USENIX Security Symposium (USENIX Security 25)

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T10:45:20.111398Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:20.111398Z digest=sha256:434ba9c9826352adbc67031da7db5d778aaedd42695d5aa39f5f62d39d759f0b

Pith citing papers

Observation a2dc1e2f-60d3-43db-afbf-9d19f0fdb259 · inbound

Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation cites this paper.

Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation Agents at Risk: How Users Unwittingly Undermine LLM Safety

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-07T03:18:52.400858Z

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.

source=pdf_text observed=2026-06-27T12:55:22.831264Z digest=sha256:ff7de0e5e458825b42881bb6bc5dc3fb559dbc82121de4716b7dae05117f2cfb

Observation 434c2944-cfc8-4d31-83f4-cebc5b6a34f8 · inbound

PlanFlip: Attacking Multi-Agent LLM Systems via Planning-Phase Prompt Injection cites this paper.

PlanFlip: Attacking Multi-Agent LLM Systems via Planning-Phase Prompt Injection Agents at Risk: How Users Unwittingly Undermine LLM Safety

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T15:17:29.479184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T15:17:29.479184Z digest=sha256:e699021d08b7dc97516f76a777ff4584d7070f71c7a822880be57a80fdd1f509