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Paper Citation Record · LEDGER

Agents at Risk: How Users Unwittingly Undermine LLM Safety

As of 4 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 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

40 of 40 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:15.835365Z digest=sha256:a3b1c22ffecdc36913e4d64458c09716504e1da9b41c32c2208a6cd7f341a756

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:fae208289e2a5ba4269136bfa22b9d6d018e3ac8df2640c4a115009bf0750a9e

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:16.101607Z digest=sha256:1f797de260d27dbcf37491b762e5342b4f285ac9617c23270ece63d4b9556afb

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:16.246142Z digest=sha256:140486bf2f147675dba93afc109fcb1fccd45528c24c98844bbcfce687060638

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:16.407118Z digest=sha256:65ff2882d2d18e719615a29a59e50444c0e3c3f5daca975fbd338a6d262c0e81

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:16.550874Z digest=sha256:5fa4d76209527f258364276afc781296e3d8df619f58fe6981440f07aade4a83

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=sha256:97578389d1b39f2450bca75d32b8fdeb007c6904830d497057540a5c888f8323

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:d27bfb0a4e4e112d825595696a7ff2647cc87b2d3841cefe206f24ec1f0c716b

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=sha256:10a950ff09aec5fe3ddb9d78d5e10bc9dcbf3b214ece1bcf3b590c3cc3393b7b

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:fc1abe190453c6c6e88577ea8daa728fbbd37a19341c4da1e2bcfdf9db48a70c

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=sha256:6bbd61f207f99bc4f224425d7d5477dc9b144d6b884d99d426da4f013428c747

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:e49fe2daf601cc5c9bc583fed722531e8cda3ef18da53c9147ac0126968be58f

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:c308e7e3ff5152c53926904d57412615af95ad0ccdf54f1d618eafa0077cb5bf

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:17.956036Z digest=sha256:83f2e8b599396f8bf38d70d70b6a3b54d3de67f62c08a18d30a0593af09f3527

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=sha256:766eb7bf1e61035ec070b88f4e257134a1d241e6d79a968fc244492daf105d39

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:18.080741Z digest=sha256:30f2841148b4e3fdc5eb6de13fd170798c6f4487a7aa6be72a0edd94d8345c88

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=sha256:0256269fa26b93893cb145e409379f9b7c618e7dc9a85e7fe4d615522c97f8b8

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=sha256:13a9d83f96ab32dd0a6667089b1373950b97ee0ed36f46df2dcff3aa0f6e8192

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:cf384cb35670cfa771e75526e3a87381c8556e5d2dc3b5905cc26f9e5803718e

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:a6bacfea26463a1792cdeceee77369f515c2dc5805cd03c41f001b8ce391ea7d

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=sha256:8dc84b09a6fd962b457c37b84513afba8d33eb6e7701d260d85b33566b8d027d

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:18.511551Z digest=sha256:664cdd3413e7b9c3b0fb96a9223885e047a177b84bcf359bb0bb3fe487dd146b

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:18.587713Z digest=sha256:54a67290dc09df8eebe8963dc052323b76c190445b7622c10ae82ec30412d9d7

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:18.670577Z digest=sha256:338b374cdfe43b2f88754025b8329e0cbaa08f68523f8141608de545a41bdbe0

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:18.726697Z digest=sha256:68544674a7957db0b4514c7e1f2c8cd43b3e22a3bb6286c202fa3778dfa1d6e5

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:18.810302Z digest=sha256:149d1556ec572c7f284e127086553e1f74ad52913c487735326377886381d78a

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:18.863024Z digest=sha256:2db0a7837fb706de99bd0df38ae8133da5bc3fa519a8c9d18edf3f6194393af2

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:18.916271Z digest=sha256:7e6458f58f5de8d8eb3d2a3f790ab3cc72b21b019932aeb52275412676ff4bf8

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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no resolver link, observed 2026-08-03T10:45:19.042225Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:19.042225Z digest=sha256:2576589a50d7ca0b8f248b11165835ceadf027ccdf567c88c0323b524f3fc704

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:19.160989Z digest=sha256:73ad0c043497fc76b55dd457fbb71723b080b9949aaeafac11f3edb8d2aefbff

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=sha256:192080bd4ff56ef1b4c8c6f1a458cb4c1a3dcbf3123290bf9e6ff5f26c27d9c1

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:19.434987Z digest=sha256:22d5e88b2811afa0005ae9df0fe449cdd38bca7097b18e7b9c1e42c2a43580aa

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=sha256:24434593b7fb1a4c852cb9ca0705ac958ea38f9b730bb5d1fefee5a8c078d1c6

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:19.562067Z digest=sha256:8b36d0545f4a912638a32f440e16eaac0279e58ecbc7170d5152702280f475e9

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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no resolver link, observed 2026-08-03T10:45:19.642964Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:19.642964Z digest=sha256:2bc77cce472f76d1c77c141935683357242129d1912c5f77f9e30e3898241049

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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no resolver link, observed 2026-08-03T10:45:19.715096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:19.715096Z digest=sha256:0e79adac784790052b0dc1bc66fe4946dbf27539b608eda1aad42b9336ce672a

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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no resolver link, observed 2026-08-03T10:45:19.729446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:19.729446Z digest=sha256:a383284c019f335d7151050c2c09a4de4c4fb1098d627ea58183ec1fc9de20f9

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:45:19.808251Z digest=sha256:8b35f174704742d66e4a9546e3a1c309105f0b097415fa66d288343c9212abbc

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

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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=sha256:28bdc6553b10a80ab8ed33cdd9e3752cab6d17b6610cb56fdec261aab6228079

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T10:45:20.111398Z digest=sha256:8daaa3afa5079b4bc9ebd2dd7f7344be68bc108090ca1b23fb872d7fa55ca142

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

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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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T12:55:22.831264Z digest=sha256:900f626876a6f99d2099d7b7081e028a4816446b9fd90c0a1160a39119210556

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T15:17:29.479184Z digest=sha256:3894f0ce71277cb9702eb42028a3b4797db97240acf7b5f00383febea4bfd781