Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:59:34.901448Z
Paper Citation Record · LEDGER
A Systematic Review of Poisoning Attacks Against Large Language Models
As of 7 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-22T22:27:18.533162Z
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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.