Paper Citation Record · LEDGER

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2502.08821.

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

pith.paper-citation-record.v1
2502.08821 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:37:01.428991Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

35 of 35 outbound references displayed

verified exact3
verified fuzzy24
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4285fe6a-61ae-4b5e-841e-7880719b7eee · outbound

This paper cites https://www.aiornot.com,.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps https://www.aiornot.com,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.841724Z

Source-reported events for the cited work

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Observation 1e10ca93-eb30-46f7-8dc4-2257c95e16e2 · outbound

This paper cites Mapping the ethics of generative ai: A comprehensive scoping review.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Mapping the ethics of generative ai: A comprehensive scoping review

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.793868Z

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Observation 43986053-e970-4082-a30c-0c6f66c58f13 · outbound

This paper cites Learn- ing from class-imbalanced data: Review of methods and applications.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Learn- ing from class-imbalanced data: Review of methods and applications

Reference 8

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Observation 1ef1f13b-a68a-44f4-8ae2-55964476bf13 · outbound

This paper cites DistML.js: Installation-free Distributed Deep Learning Framework for Web Browsers.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps DistML.js: Installation-free Distributed Deep Learning Framework for Web Browsers

Reference 10

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Observation 7caa41ab-e254-4f01-b8ef-61189aabcb3c · outbound

This paper cites Densely con- nected convolutional networks.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Densely con- nected convolutional networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.773478Z

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Observation aba82160-9121-4974-a925-45a1ce2a5618 · outbound

This paper cites Gradient-based Explanations for Deep Learning Survival Models.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Gradient-based Explanations for Deep Learning Survival Models

Reference 12

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Observation d62d3e13-83ef-4ab0-985e-a5ab0eb677f1 · outbound

This paper cites Highly scalable deep learning training system with mixed- precision: Training imagenet in four minutes,.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Highly scalable deep learning training system with mixed- precision: Training imagenet in four minutes,

Reference 13

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Observation 34af8c27-b611-4afb-a18a-b71667a314f8 · outbound

This paper cites A recipe for training neural networks,.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps A recipe for training neural networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.753375Z

Source-reported events for the cited work

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Observation 78286b8c-e350-4dcf-a197-8ae08a127138 · outbound

This paper cites [Li et al., 2024] Yuying Li, Zeyan Liu, Junyi Zhao, Liangqin Ren, Fengjun Li, Jiebo Luo, and Bo Luo.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps [Li et al., 2024] Yuying Li, Zeyan Liu, Junyi Zhao, Liangqin Ren, Fengjun Li, Jiebo Luo, and Bo Luo

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.732679Z

Source-reported events for the cited work

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Observation b2c1c673-3a8b-461b-988d-37da4dd1fd97 · outbound

This paper cites Cosmic Neutrinos as a Window to Departures from Special Relativity.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Cosmic Neutrinos as a Window to Departures from Special Relativity

Reference 18

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Source-reported events for the cited work

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Observation 94e18e62-161b-418b-92c3-ec05bb0356d2 · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Mobilenetv2: Inverted residuals and linear bottlenecks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.712184Z

Source-reported events for the cited work

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Observation 3d9f3a11-cd8d-45e0-a5df-ef4258f7e660 · outbound

This paper cites Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.702300Z

Source-reported events for the cited work

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Observation 7106c2ca-8d99-4c74-97be-4d77ba8b7153 · outbound

This paper cites The rise of creative machines: Exploring the im- pact of generative ai,.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps The rise of creative machines: Exploring the im- pact of generative ai,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.692289Z

Source-reported events for the cited work

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Observation eba47d9c-6eec-469c-9d77-40c5dcf04345 · outbound

This paper cites Deep inside convolutional networks: Visualising image classification models and saliency maps,.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Deep inside convolutional networks: Visualising image classification models and saliency maps,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.671636Z

Source-reported events for the cited work

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Observation 01ff91b2-d2ad-4156-9393-e9ba1f373e5e · outbound

This paper cites SmoothGrad: removing noise by adding noise.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps SmoothGrad: removing noise by adding noise

Reference 25

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Source-reported events for the cited work

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Observation 976e7f9d-33b1-40a4-ae4b-0ae088b7f376 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermody- namics.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Deep unsupervised learning using nonequilibrium thermody- namics

Reference 26

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Observation 3da0dab7-0747-4d21-9e4e-6dd8758d2b4e · outbound

This paper cites Evaluating the social impact of generative ai systems in systems and society,.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Evaluating the social impact of generative ai systems in systems and society,

Reference 27

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Observation 4ce7deb0-93dd-49bf-bcd3-c7f60c72a2e7 · outbound

This paper cites Axiomatic attribution for deep net- works.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Axiomatic attribution for deep net- works

Reference 28

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Observation 04416910-d268-405a-9aea-3c6cade0e4e3 · outbound

This paper cites DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models

Reference 29

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Observation 5e25bd1c-d1cd-47be-a0a2-90a3089aa4a9 · outbound

This paper cites Anatomizing Deep Learning Inference in Web Browsers.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Anatomizing Deep Learning Inference in Web Browsers

Reference 30

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Observation b75e44d7-98fc-4889-b62c-8042f4030579 · outbound

This paper cites https://www.wikiart.org/,.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps https://www.wikiart.org/,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.626565Z

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Observation 3e5fc24b-f7a6-417f-a6c6-dfe7f0a6e7f3 · outbound

This paper cites A comprehensive survey of image augmentation techniques for deep learning.Pattern Recog- nition, 137:109347, May.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps A comprehensive survey of image augmentation techniques for deep learning.Pattern Recog- nition, 137:109347, May

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.615925Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7cd94898-080f-4d4d-99ea-e7f62c03ff66 · outbound

This paper cites A sanity check for ai-generated image detection, 06.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps A sanity check for ai-generated image detection, 06

Reference 33

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Observation ababd32c-00ea-4c37-bd5c-1f1a3862890c · outbound

This paper cites On Attribution of Deepfakes.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps On Attribution of Deepfakes

Reference 34

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Observation 5ddbf231-1ada-4c63-b874-2634c85f440d · outbound

This paper cites Patchcraft: Explor- ing texture patch for efficient ai-generated image detec- tion, 2024.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Patchcraft: Explor- ing texture patch for efficient ai-generated image detec- tion, 2024

Reference 35

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Observation fc8faf33-85eb-4e19-8bce-03001c54b8df · outbound

This paper cites Ai-generated image detection: Passive or water- mark?,.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Ai-generated image detection: Passive or water- mark?,

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.805555Z

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Observation 98656326-78d0-481f-b871-b6b456ec98f9 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2015

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This paper cites Deep Residual Learning for Image Recognition.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Deep Residual Learning for Image Recognition

Reference 2017

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Observation 5da1d094-c491-4ef3-896e-47a2bef3a989 · outbound

This paper cites Compiling ONNX Neural Network Models Using MLIR.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Compiling ONNX Neural Network Models Using MLIR

Reference 2018

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Observation 1b9b578f-e622-44b1-8e6c-edceef53ff8d · outbound

This paper cites [Kholy, 2024a] Adam El Kholy.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps [Kholy, 2024a] Adam El Kholy

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.742899Z

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Observation fde3f795-f6df-4100-b1a6-bf72b5edf89a · outbound

This paper cites Improving interpretability and robustness for the detection of ai-generated images,.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Improving interpretability and robustness for the detection of ai-generated images,

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.817327Z

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Observation b7043576-6b15-44f9-9f9a-ff1ed81d8a19 · outbound

This paper cites Mixed precision training,.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Mixed precision training,

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.722380Z

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Observation f284a174-d2a4-469d-8489-ec4f280740da · outbound

This paper cites Shorten and T.M.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Shorten and T.M

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.681640Z

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Observation 14b37725-c483-455c-a773-30093f6b11b5 · outbound

This paper cites Generative Adversarial Networks.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps Generative Adversarial Networks

Reference 2024

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Observation 566bd6b0-e7f2-45a5-9eae-abb1dececec0 · outbound

This paper cites [Bach et al., 2015] Sebastian Bach, Alexander Binder, Gr´egoire Montavon, Frederick Klauschen, Klaus-Robert M¨uller, and Wojciech Samek.

DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps [Bach et al., 2015] Sebastian Bach, Alexander Binder, Gr´egoire Montavon, Frederick Klauschen, Klaus-Robert M¨uller, and Wojciech Samek

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T23:37:01.829915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.