Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T15:15:03.242534Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.28187.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T15:15:03.242534Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
48 of 48 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0c0ad3c2-ce13-41db-9a34-64349cb1964e · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the 26th international symposium on research in attacks, intrusions and defenses , pages=
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc7c400c-fbdc-4509-a993-d582dd6032d4 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2024 , howpublished =
Reference 2
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Observation f76ecee7-cc86-4dc6-9232-56274e0cbeab · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the AAAI conference on artificial intelligence , volume=
Reference 3
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Observation 7121c3f6-b945-4830-ab32-70c74331e85e · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Intriguing properties of neural networks
Reference 4
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Observation 2e9913d2-01ad-4527-9145-833e04865e21 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International Conference on Learning Representations , year =
Reference 5
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Observation 63407ed0-5364-4fa7-9ade-eb9601978f32 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International Conference on Learning Representations , year =
Reference 6
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Unavailable: canonical work link unavailable.
Observation 5f2bc48f-78f1-4265-9716-081ead3ef9ca · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the 2017 ACM on Asia conference on computer and communications security , pages=
Reference 7
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Observation 923f561f-bbc3-45f3-880a-6dd448144ee5 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2025 , organization=
Reference 8
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Observation 5673c47e-07db-4d0c-b95e-e71eb08c7ba2 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International Conference on Learning Representations , year =
Reference 9
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Observation bd2b2e95-7f9f-449e-82d9-99864824dd9b · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the 40th international conference on software engineering , pages=
Reference 10
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Unavailable: canonical work link unavailable.
Observation 44ae0405-5fa1-4c7b-b72e-bd578b8ec941 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International conference on learning representations , volume=
Reference 11
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Observation d0f624a0-f3ec-47f7-bc27-327f3ceefe4f · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International Conference on Machine Learning , pages=
Reference 12
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Observation 626b51a7-055f-473a-9813-9e1fbe7e5a9a · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International Conference on Learning Representations , year =
Reference 13
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Unavailable: canonical work link unavailable.
Observation d90fbf42-7557-4ba6-9de9-3bf6e3f41867 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems , pages=
Reference 14
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Unavailable: canonical work link unavailable.
Observation d367f544-0ea9-40ed-b35c-e56987e75294 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Unresolved cited work
Reference 15
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Unavailable: canonical work link unavailable.
Observation 37172ff4-17a5-4710-a802-65f27e690df0 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation ShieldGemma 2: Robust and Tractable Image Content Moderation
Reference 16
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Unavailable: canonical work link unavailable.
Observation 7c0c8cd9-742f-4f88-ba43-eb5cbefd3ea3 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation IEEE Transactions on Information Forensics and Security , year=
Reference 17
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Unavailable: canonical work link unavailable.
Observation e9ebd1ef-9178-4b31-a2ea-a388d638eaff · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks
Reference 18
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Unavailable: canonical work link unavailable.
Observation 90cd0df6-6979-4c38-b4ba-3de86a23e15b · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Findings of the Association for Computational Linguistics: ACL 2026 , pages=
Reference 19
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Unavailable: canonical work link unavailable.
Observation 90238e9c-4aae-4710-89b3-09542a0540fb · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the 11th ACM workshop on artificial intelligence and security , pages=
Reference 20
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Unavailable: canonical work link unavailable.
Observation f944af5a-c582-4db4-80f4-3c590ca40268 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2018 , publisher=
Reference 21
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Unavailable: canonical work link unavailable.
Observation f805b203-6e5d-44f6-95ce-1480f75e8e19 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2019 , publisher=
Reference 22
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Unavailable: canonical work link unavailable.
Observation 2d21b154-33aa-4206-bb17-4203c5c11628 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Unresolved cited work
Reference 23
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Unavailable: canonical work link unavailable.
Observation edc9d514-2de8-418d-aa22-789037244410 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International Journal of Data Science and Analytics , volume=
Reference 24
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Unavailable: canonical work link unavailable.
Observation fa79a32b-313c-4f90-a3a9-bcb4a38fc552 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Unresolved cited work
Reference 25
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Unavailable: canonical work link unavailable.
Observation 271c641b-5ef2-4866-af38-07ff9cb49d4e · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021) , pages=
Reference 26
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Unavailable: canonical work link unavailable.
Observation e945299a-4a91-4660-89f9-b62898d48460 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Findings of the association for computational linguistics: EMNLP 2021 , pages=
Reference 27
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Unavailable: canonical work link unavailable.
Observation aef14896-becf-4447-8e4c-a68948aa4f57 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2021 International Joint Conference on Neural Networks (IJCNN) , pages=
Reference 28
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Unavailable: canonical work link unavailable.
Observation 0c2b40b6-4f95-48f7-80c6-7db53c1ac022 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2022 , howpublished =
Reference 29
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Unavailable: canonical work link unavailable.
Observation fa97436d-cc72-4efe-bb2d-a97dcd2c7095 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2016 , howpublished =
Reference 30
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Unavailable: canonical work link unavailable.
Observation 9f416435-7ca4-45d0-9952-6af0f5aee9ff · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2026 , howpublished =
Reference 31
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Unavailable: canonical work link unavailable.
Observation 30afa3b3-752c-44d0-903b-feb725c79b8b · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Advances in neural information processing systems , volume=
Reference 32
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Unavailable: canonical work link unavailable.
Observation 1c24da59-05c3-41f3-a93a-5c705bf5662f · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Detecting Hate Speech in Multi-modal Memes
Reference 33
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Unavailable: canonical work link unavailable.
Observation 954d8c01-332f-47bf-a7aa-ae86c8ec2852 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Unresolved cited work
Reference 34
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Observation fe1426a3-41c5-4977-920b-7ea587be46f6 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
Reference 35
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Observation c95b137d-2ede-4821-8055-60d58f54a984 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation ShieldGemma: Generative AI Content Moderation Based on Gemma
Reference 36
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Unavailable: canonical work link unavailable.
Observation dcf06d5a-79bf-4260-b9e3-9bccfb5bc392 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=
Reference 37
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Unavailable: canonical work link unavailable.
Observation e74bf86b-fdad-4a84-a277-02e07d87a206 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation International Journal of Intelligent Engineering and Systems , volume=
Reference 38
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Observation 8abdbf6f-dc70-452e-b868-5aeecb6557b9 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation IEEE transactions on image processing , volume=
Reference 39
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Observation b1a3d89a-a00a-43e4-a081-795a6f985279 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2024 , howpublished =
Reference 40
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Observation 776a378f-7302-43ad-a174-3f9146b7aa4e · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2021 , howpublished =
Reference 41
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Observation 0130b9d3-c05c-4a35-81c8-ffa2fb0d7ee4 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2022 , howpublished =
Reference 42
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Observation f9e2b65e-b400-4752-b526-21309f821a12 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2023 , howpublished =
Reference 43
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Observation b2931cd7-114f-4df3-828e-c438dffb0a31 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation The Thirty-Seventh Asilomar Conference on Signals, Systems & Computers , volume =
Reference 44
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Unavailable: canonical work link unavailable.
Observation e27c4e7d-4955-4905-a61e-fe38fdb94787 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation Unresolved cited work
Reference 45
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Observation 62721916-8098-4244-898b-65f8fd1461ee · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2026 , howpublished =
Reference 46
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Observation 7ab07050-9724-41fa-90aa-17b1dd63ba55 · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation 2026 , howpublished =
Reference 47
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Unavailable: canonical work link unavailable.
Observation a15394c0-004d-4f51-80a4-43e0c54f59db · outbound
Old Tricks, New Models: How Simple Image Transformations Break Modern AI-based Content Moderation LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
Reference 48
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Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.