Paper Citation Record · LEDGER

Can adversarial attacks by large language models be attributed?

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2411.08003.

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

pith.paper-citation-record.v1
2411.08003 v3

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T22:01:50.284359Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy24
unresolved10
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External citation measurements

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Outbound references

Observation 487f1c52-bc4f-46d5-98ca-974fa55bd319 · outbound

This paper cites Proc Natl Acad Sci USA 111(4):1298– 1303.

Can adversarial attacks by large language models be attributed? Proc Natl Acad Sci USA 111(4):1298– 1303

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.948662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 229d61e7-0869-4776-8a58-9744e6e350b7 · outbound

This paper cites Proc Natl Acad Sci USA 114(11):2825–2830.

Can adversarial attacks by large language models be attributed? Proc Natl Acad Sci USA 114(11):2825–2830

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.929214Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aec397b4-99c2-4d04-b3e0-603dcde2afb5 · outbound

This paper cites Nat Mach Intell 4(3):189–191.

Can adversarial attacks by large language models be attributed? Nat Mach Intell 4(3):189–191

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.911014Z

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Observation a204df01-83f9-4d5f-b806-fe7b8321712e · outbound

This paper cites an unresolved cited work.

Can adversarial attacks by large language models be attributed? Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-12T22:01:50.893872Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc6b4f74-969b-4580-b11d-3de98475f63f · outbound

This paper cites AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks.

Can adversarial attacks by large language models be attributed? AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T22:01:50.124339Z

Source-reported events for the cited work

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Observation fe005cf0-596e-4e2b-99f6-8c96c587c8e9 · outbound

This paper cites (2019) Machine behaviour.

Can adversarial attacks by large language models be attributed? (2019) Machine behaviour

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.876007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0990b838-e466-45b3-bbad-3dac7256978a · outbound

This paper cites (OpenAI, https://cdn.openai.com/papers/Governing Agentic AI.pdf).

Can adversarial attacks by large language models be attributed? (OpenAI, https://cdn.openai.com/papers/Governing Agentic AI.pdf)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.858590Z

Source-reported events for the cited work

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Observation 16382795-8697-4e76-9a16-c793dfce4b3e · outbound

This paper cites mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization.

Can adversarial attacks by large language models be attributed? mL-BFGS: A Momentum-based L-BFGS for Distributed Large-Scale Neural Network Optimization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T22:01:50.141373Z

Source-reported events for the cited work

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Observation 56dc3844-d7e0-42a4-990a-ea7e9ad83a9b · outbound

This paper cites Inf Control 10(5):447–474.

Can adversarial attacks by large language models be attributed? Inf Control 10(5):447–474

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.841689Z

Source-reported events for the cited work

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Observation bbb03c92-20fc-4bf2-b228-1f01e518df92 · outbound

This paper cites Inf Control 45(2):117–135.

Can adversarial attacks by large language models be attributed? Inf Control 45(2):117–135

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.822734Z

Source-reported events for the cited work

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Observation aded9074-836c-447e-b8fe-c5b6d0ab84b5 · outbound

This paper cites Philos Sci 71(4):571–592.

Can adversarial attacks by large language models be attributed? Philos Sci 71(4):571–592

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.801782Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 24e3a8bd-4bc5-44aa-bdce-0124b5b34fe6 · outbound

This paper cites Trans Assoc Comput Linguist 12:543–561.

Can adversarial attacks by large language models be attributed? Trans Assoc Comput Linguist 12:543–561

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.783704Z

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Observation 994632cc-f017-4e61-90fe-4e4b0bac144c · outbound

This paper cites In Proc EMNLP 2020 , pp.

Can adversarial attacks by large language models be attributed? In Proc EMNLP 2020 , pp

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.764955Z

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Observation afcf6a3d-d1aa-4473-a72b-97d4ff5a928b · outbound

This paper cites In Proc ACL 2020 Workshop on Deep Learning and Formal Languages.

Can adversarial attacks by large language models be attributed? In Proc ACL 2020 Workshop on Deep Learning and Formal Languages

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.741732Z

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Observation 19728bde-db62-44eb-bb14-f3ac121b1029 · outbound

This paper cites an unresolved cited work.

Can adversarial attacks by large language models be attributed? Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T22:01:50.718520Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a6c22c09-662c-472c-886b-9c8034ff241e · outbound

This paper cites (Oak Ridge National Lab news release, May 30, 2022).

Can adversarial attacks by large language models be attributed? (Oak Ridge National Lab news release, May 30, 2022)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.694695Z

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Observation ac5db616-131c-4ee5-9107-146c86f4253b · outbound

This paper cites (NBER Working Paper No.

Can adversarial attacks by large language models be attributed? (NBER Working Paper No

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.674813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation be9e7194-e847-4616-8a1e-aedc8a6743ad · outbound

This paper cites an unresolved cited work.

Can adversarial attacks by large language models be attributed? Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T22:01:50.655575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0afb1818-8277-40b2-bc85-e51c44a7a086 · outbound

This paper cites an unresolved cited work.

Can adversarial attacks by large language models be attributed? Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-12T22:01:50.637017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ee985a8-a373-47eb-a092-a5611d6a08ee · outbound

This paper cites (2022) Hiding individuals and communities in a social network.IEEE Trans Netw Sci Eng 9(1):196–209.

Can adversarial attacks by large language models be attributed? (2022) Hiding individuals and communities in a social network.IEEE Trans Netw Sci Eng 9(1):196–209

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.617749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c67dacd-aa59-4d9b-ac76-7bc06d292644 · outbound

This paper cites (2022) Trading contact tracing precision for privacy via structure-preserving anonymization.

Can adversarial attacks by large language models be attributed? (2022) Trading contact tracing precision for privacy via structure-preserving anonymization

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.599609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1e1c895f-15f1-4a5b-99b7-4aa6713ffa68 · outbound

This paper cites (2021) A time-critical crowdsourced computational search for the origins of COVID-19.

Can adversarial attacks by large language models be attributed? (2021) A time-critical crowdsourced computational search for the origins of COVID-19

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.581129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b1f3d0f9-d8df-4d44-ae08-eb9c168e5bca · outbound

This paper cites Language Generation in the Limit.

Can adversarial attacks by large language models be attributed? Language Generation in the Limit

Reference 23

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Source-reported events for the cited work

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Observation dea7c7f3-9076-4476-9fad-3138deb23916 · outbound

This paper cites an unresolved cited work.

Can adversarial attacks by large language models be attributed? Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-12T22:01:50.563438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3c1ee3dd-cc2f-46e8-906d-39792a0ae135 · outbound

This paper cites Available at: https://eur-lex.europa.eu/eli/reg/2024/1689/oj.

Can adversarial attacks by large language models be attributed? Available at: https://eur-lex.europa.eu/eli/reg/2024/1689/oj

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.546083Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2aee5a71-bac2-4e6f-b76d-c6a589bf6040 · outbound

This paper cites Order No.

Can adversarial attacks by large language models be attributed? Order No

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.527173Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e8eeb406-a0f7-4997-922f-3ae84203e048 · outbound

This paper cites AI Regulation: A Pro- Innovation Approach.

Can adversarial attacks by large language models be attributed? AI Regulation: A Pro- Innovation Approach

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.505759Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f7cb571e-95e2-4415-b9d0-2dafd4d1c806 · outbound

This paper cites Recommendation of the Council on Artificial Intelligence (OECD/LEGAL/0449).

Can adversarial attacks by large language models be attributed? Recommendation of the Council on Artificial Intelligence (OECD/LEGAL/0449)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.486579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7d0fcd28-0e95-4b53-9ee6-273f6c285381 · outbound

This paper cites Global Framework to Monitor Application of the G7 Hiroshima AI Code of Conduct.

Can adversarial attacks by large language models be attributed? Global Framework to Monitor Application of the G7 Hiroshima AI Code of Conduct

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.469379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ffb06e76-1fe9-4d4d-a83e-ddcfc7463bc2 · outbound

This paper cites Here Come the AI Worms.

Can adversarial attacks by large language models be attributed? Here Come the AI Worms

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.452243Z

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Observation 831ec74c-ae2a-4d82-b0e5-50ed802d341a · outbound

This paper cites Researchers Say the Deepfake Biden Robocall Was Likely Made With Tools From AI Startup ElevenLabs.

Can adversarial attacks by large language models be attributed? Researchers Say the Deepfake Biden Robocall Was Likely Made With Tools From AI Startup ElevenLabs

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.432475Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation efff937a-648d-4433-bd71-469ccc73d411 · outbound

This paper cites Pindrop Reveals TTS Engine Behind Biden AI Robocall.

Can adversarial attacks by large language models be attributed? Pindrop Reveals TTS Engine Behind Biden AI Robocall

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T22:01:50.413851Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 09e23ebc-823a-4a7a-80cb-b2756e317289 · outbound

This paper cites New Hampshire Opens Criminal Probe Into AI Calls Impersonating Biden.

Can adversarial attacks by large language models be attributed? New Hampshire Opens Criminal Probe Into AI Calls Impersonating Biden

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T22:01:50.284359Z

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Unavailable: canonical work link unavailable.

Observation 80769725-072a-4f8e-86dc-7c098dab0abd · outbound

This paper cites Here Comes The AI Worm: Unleashing Zero-click Worms that Target GenAI-Powered Applications.

Can adversarial attacks by large language models be attributed? Here Comes The AI Worm: Unleashing Zero-click Worms that Target GenAI-Powered Applications

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T22:01:50.261905Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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