Paper Citation Record · LEDGER

A Systematic Review of Poisoning Attacks Against Large Language Models

As of 23 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2506.06518.

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

pith.paper-citation-record.v1
2506.06518 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:34.901448Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T22:27:18.533162Z

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 fuzzy22
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

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

Outbound references

Observation 7ea8583f-01ce-43e0-8962-3952464ac255 · outbound

This paper cites Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data.

A Systematic Review of Poisoning Attacks Against Large Language Models Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:31.659055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 446d851b-e08b-42ad-8818-a4bbead9f097 · outbound

This paper cites Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning.

A Systematic Review of Poisoning Attacks Against Large Language Models Class Machine Unlearning for Complex Data via Concepts Inference and Data Poisoning

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:59:36.320174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3e1a0082-6fb0-4374-b66d-749cc0dd9232 · outbound

This paper cites Wei Du, TongXin Yuan, HaoDong Zhao, and GongShen Liu.

A Systematic Review of Poisoning Attacks Against Large Language Models Wei Du, TongXin Yuan, HaoDong Zhao, and GongShen Liu

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:39.352361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 070d47d6-8848-4383-899e-b98f53124a14 · outbound

This paper cites InProceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

A Systematic Review of Poisoning Attacks Against Large Language Models InProceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:39.227506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cdf50981-1720-475d-b51c-9bee26e73acf · outbound

This paper cites Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, and Noah A Smith.

A Systematic Review of Poisoning Attacks Against Large Language Models Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, and Noah A Smith

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:39.100234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15e1017b-7498-4b48-ab4b-8e7c1dcef5c5 · outbound

This paper cites Naibin Gu, Peng Fu, Xiyu Liu, Zhengxiao Liu, Zheng Lin, and Weiping Wang.

A Systematic Review of Poisoning Attacks Against Large Language Models Naibin Gu, Peng Fu, Xiyu Liu, Zhengxiao Liu, Zheng Lin, and Weiping Wang

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:38.956298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1ac792c8-74f8-4781-a2a5-c1bb955fcf16 · outbound

This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

A Systematic Review of Poisoning Attacks Against Large Language Models BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:32.069364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff8c840-e0e0-4426-a12c-dd372f201e70 · outbound

This paper cites Towards a Unified View of Parameter-Efficient Transfer Learning.

A Systematic Review of Poisoning Attacks Against Large Language Models Towards a Unified View of Parameter-Efficient Transfer Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:32.105612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e37876d-a727-431d-9633-37f2d4cfcfff · outbound

This paper cites an unresolved cited work.

A Systematic Review of Poisoning Attacks Against Large Language Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:59:38.674627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4c84d963-2b0d-45c1-9bcf-fb539a8330c4 · outbound

This paper cites Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.

A Systematic Review of Poisoning Attacks Against Large Language Models Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:32.171756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8849ca2f-e013-46f3-b864-1cee1b6a3e8f · outbound

This paper cites Turning Generative Models Degenerate: The Power of Data Poisoning Attacks.

A Systematic Review of Poisoning Attacks Against Large Language Models Turning Generative Models Degenerate: The Power of Data Poisoning Attacks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:32.236884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cb10e3b-957c-42e8-bb60-0bc8b8178b0d · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

A Systematic Review of Poisoning Attacks Against Large Language Models BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:32.272287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 211096e0-83fc-4717-b080-ae9342540dd8 · outbound

This paper cites Poison Attack and Defense on Deep Source Code Processing Models.

A Systematic Review of Poisoning Attacks Against Large Language Models Poison Attack and Defense on Deep Source Code Processing Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:32.310419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44cee96a-dca9-4a79-986f-339f69a7799e · outbound

This paper cites InProceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security.

A Systematic Review of Poisoning Attacks Against Large Language Models InProceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:38.563879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5bc1a327-a310-469a-acf2-cc626cde87b2 · outbound

This paper cites Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization.

A Systematic Review of Poisoning Attacks Against Large Language Models Invisible Backdoor Attacks on Deep Neural Networks via Steganography and Regularization

Reference 22

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:59:36.097011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2de31235-aeef-41d5-8f74-38527e0e559b · outbound

This paper cites Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks.

A Systematic Review of Poisoning Attacks Against Large Language Models Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:59:35.887725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 822a5126-baa0-48ab-ba01-3c3c1b8d544c · outbound

This paper cites LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.

A Systematic Review of Poisoning Attacks Against Large Language Models LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:32.537298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec6694a2-35fb-4077-b2dd-9af6fa42d624 · outbound

This paper cites TrojText: Test-time Invisible Textual Trojan Insertion.

A Systematic Review of Poisoning Attacks Against Large Language Models TrojText: Test-time Invisible Textual Trojan Insertion

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:32.596342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd321697-af2c-45a8-b287-130cebba843c · outbound

This paper cites Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al.

A Systematic Review of Poisoning Attacks Against Large Language Models Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:38.400132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d2ec850a-57e3-4905-92a5-1f6af66bdfec · outbound

This paper cites Sara Price, Arjun Panickssery, Sam Bowman, and Asa Cooper Stickland.

A Systematic Review of Poisoning Attacks Against Large Language Models Sara Price, Arjun Panickssery, Sam Bowman, and Asa Cooper Stickland

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:38.284284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 84de39dd-b780-4c0d-b10f-1f44a4ce15f4 · outbound

This paper cites Future Events as Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs.

A Systematic Review of Poisoning Attacks Against Large Language Models Future Events as Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:32.791087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e4b953e-9c90-4912-b65b-5dc0915554e8 · outbound

This paper cites Learning to Poison Large Language Models for Downstream Manipulation.

A Systematic Review of Poisoning Attacks Against Large Language Models Learning to Poison Large Language Models for Downstream Manipulation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:32.918399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a59d509-c94b-4087-a2b1-aebe2f772eb7 · outbound

This paper cites InICML 2021 Workshop on Adversarial Machine Learning.

A Systematic Review of Poisoning Attacks Against Large Language Models InICML 2021 Workshop on Adversarial Machine Learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:38.116750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f389ad9b-2812-452f-b6b3-e92ad2ea1166 · outbound

This paper cites InProceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security.

A Systematic Review of Poisoning Attacks Against Large Language Models InProceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:38.002463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c0fede6e-3234-411e-9424-c337b12e40d9 · outbound

This paper cites Zihao Tan, Qingliang Chen, Yongjian Huang, and Chen Liang.

A Systematic Review of Poisoning Attacks Against Large Language Models Zihao Tan, Qingliang Chen, Yongjian Huang, and Chen Liang

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:37.873270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 22f4a58d-84af-4c16-81cc-fb1905e1c8f3 · outbound

This paper cites Apostol Vassilev, Alina Oprea, Alie Fordyce, and Hyrum Andersen.

A Systematic Review of Poisoning Attacks Against Large Language Models Apostol Vassilev, Alina Oprea, Alie Fordyce, and Hyrum Andersen

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:37.730052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f114077-2cf1-468d-bb25-b2220928bd98 · outbound

This paper cites https://doi.org/10.6028/NIST.AI.100-2e2023 Jordan Vice, Naveed Akhtar, Richard Hartley, and Ajmal Mian.

A Systematic Review of Poisoning Attacks Against Large Language Models https://doi.org/10.6028/NIST.AI.100-2e2023 Jordan Vice, Naveed Akhtar, Richard Hartley, and Ajmal Mian

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:33.333464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c909ff97-12a1-41b9-a26a-e6862534f9e4 · outbound

This paper cites Eric Wallace, Tony Z Zhao, Shi Feng, and Sameer Singh.

A Systematic Review of Poisoning Attacks Against Large Language Models Eric Wallace, Tony Z Zhao, Shi Feng, and Sameer Singh

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:37.592876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1b68074a-fca0-4a99-996a-a679b9349ffc · outbound

This paper cites Concealed Data Poisoning Attacks on NLP Models.

A Systematic Review of Poisoning Attacks Against Large Language Models Concealed Data Poisoning Attacks on NLP Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:33.565741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29ede7d0-14d3-4b61-9ae0-7f66260913e6 · outbound

This paper cites BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents.

A Systematic Review of Poisoning Attacks Against Large Language Models BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:33.685730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a64ed6ef-2aa6-4d4c-b04a-d63d529d550d · outbound

This paper cites InProceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency.

A Systematic Review of Poisoning Attacks Against Large Language Models InProceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:37.421889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9e05af27-1a3e-4953-aa2b-6090027ce4e0 · outbound

This paper cites Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models.

A Systematic Review of Poisoning Attacks Against Large Language Models Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:33.836732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 930d14a3-00b3-4f7d-934b-e96036f0b139 · outbound

This paper cites Continual Learning for Large Language Models: A Survey.

A Systematic Review of Poisoning Attacks Against Large Language Models Continual Learning for Large Language Models: A Survey

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:33.962759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8ff8bbc-ac47-4260-a6e2-d3107a183f0d · outbound

This paper cites Backdooring Textual Inversion for Concept Censorship.

A Systematic Review of Poisoning Attacks Against Large Language Models Backdooring Textual Inversion for Concept Censorship

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:34.070320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ab89a10-8cb4-4391-baed-9a7c104aca06 · outbound

This paper cites InProceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers).

A Systematic Review of Poisoning Attacks Against Large Language Models InProceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:37.075232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f65df34-05ce-449d-ac7d-288494e673a3 · outbound

This paper cites BITE: Textual Backdoor Attacks with Iterative Trigger Injection.

A Systematic Review of Poisoning Attacks Against Large Language Models BITE: Textual Backdoor Attacks with Iterative Trigger Injection

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:34.202693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6ac111a-005d-4f9f-ab65-c9bf547ee782 · outbound

This paper cites RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models.

A Systematic Review of Poisoning Attacks Against Large Language Models RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:34.294487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78ff3513-3e31-407c-bcaa-78c9bd0e170e · outbound

This paper cites SOS! Soft Prompt Attack Against Open-Source Large Language Models.

A Systematic Review of Poisoning Attacks Against Large Language Models SOS! Soft Prompt Attack Against Open-Source Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:34.368760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfa8b74a-adbd-47a1-9b1f-2275984702d0 · outbound

This paper cites Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers.

A Systematic Review of Poisoning Attacks Against Large Language Models Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers

Reference 48

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:59:35.378371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 66ceb03c-a844-4b5a-8429-cb423a7a5078 · outbound

This paper cites Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models.

A Systematic Review of Poisoning Attacks Against Large Language Models Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:34.563333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff09d8fc-ab4e-402d-983d-6f9f098c06a8 · outbound

This paper cites Shuai Zhao, Luu Anh Tuan, Jie Fu, Jinming Wen, and Weiqi Luo.

A Systematic Review of Poisoning Attacks Against Large Language Models Shuai Zhao, Luu Anh Tuan, Jie Fu, Jinming Wen, and Weiqi Luo

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:36.886731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9030a4b2-37dd-4d34-8600-8def083d959f · outbound

This paper cites Mengxin Zheng, Jiaqi Xue, Xun Chen, YanShan Wang, Qian Lou, and Lei Jiang.

A Systematic Review of Poisoning Attacks Against Large Language Models Mengxin Zheng, Jiaqi Xue, Xun Chen, YanShan Wang, Qian Lou, and Lei Jiang

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:36.701027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 71be9c78-f066-481d-8ca1-485550ad4c19 · outbound

This paper cites TrojFSP: Trojan Insertion in Few-shot Prompt Tuning.

A Systematic Review of Poisoning Attacks Against Large Language Models TrojFSP: Trojan Insertion in Few-shot Prompt Tuning

Reference 52

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:59:35.156988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4967d7ba-fe3e-4774-808e-96c439c47719 · outbound

This paper cites JournalArticle.

A Systematic Review of Poisoning Attacks Against Large Language Models JournalArticle

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:36.503571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0ec3ea43-93b8-4eca-8051-f9c51c840592 · outbound

This paper cites Chao-Yuan Wu and Philipp Krahenbuhl.

A Systematic Review of Poisoning Attacks Against Large Language Models Chao-Yuan Wu and Philipp Krahenbuhl

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:37.245096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d9d3ebee-5c8c-4c2e-a9cc-a812e2c34751 · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

A Systematic Review of Poisoning Attacks Against Large Language Models Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:31.941509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d736a673-c3cf-4879-986c-2a5e3603022d · outbound

This paper cites Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks.

A Systematic Review of Poisoning Attacks Against Large Language Models Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

Reference 2018

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:59:35.672859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cf0355ee-e631-412e-b2ac-d880a32b1e3b · outbound

This paper cites InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics.

A Systematic Review of Poisoning Attacks Against Large Language Models InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:38.777360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1e152b2c-3f03-45df-880d-9f79e0c60b36 · outbound

This paper cites Language Models are Few-Shot Learners.

A Systematic Review of Poisoning Attacks Against Large Language Models Language Models are Few-Shot Learners

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:31.742485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 700648d1-b34b-44d7-9827-28743625c0ce · outbound

This paper cites Neurocomputing452 (2021), 253–262.

A Systematic Review of Poisoning Attacks Against Large Language Models Neurocomputing452 (2021), 253–262

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:39.657902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 44799b92-407a-4d5b-b65b-676128cf83e3 · outbound

This paper cites The Philosopher's Stone: Trojaning Plugins of Large Language Models.

A Systematic Review of Poisoning Attacks Against Large Language Models The Philosopher's Stone: Trojaning Plugins of Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T05:59:31.982339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab797731-8204-4237-bc4f-aca8f71eb6b5 · outbound

This paper cites Surveys55, 13s (2023), 1–39.

A Systematic Review of Poisoning Attacks Against Large Language Models Surveys55, 13s (2023), 1–39

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:39.505513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 663ad437-3e48-471f-8a2c-019b653073f8 · outbound

This paper cites https://huggingface.co/1231czx/llama3_it_ultra_list_and_bold500.

A Systematic Review of Poisoning Attacks Against Large Language Models https://huggingface.co/1231czx/llama3_it_ultra_list_and_bold500

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:59:39.754086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 8b417431-01a7-41f4-84dc-613f5bc84dbb · inbound

Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics cites this paper.

Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics A Systematic Review of Poisoning Attacks Against Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:32:12.116278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.