Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T04:13:11.921498Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2607.29581.
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 2026-08-03T04:13:11.921498Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
69 of 69 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ec048f73-a779-403b-84d4-6d0ae69ce236 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Cnn-generated images are surprisingly easy to spot... for now,
Reference 1
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Observation f41ce38f-3089-4a3a-b676-ca7212698f59 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Towards universal fake image detectors that generalize across generative models,
Reference 2
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Observation f324ff83-c46f-4b1b-887b-0485aee5cdb1 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows On the detection of synthetic images gen- erated by diffusion models,
Reference 3
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Observation 5b923802-3b71-4f0b-b621-6827e4cd3fd6 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Fake or jpeg? revealing common biases in generated image detection datasets,
Reference 4
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Observation 073a5a87-4722-4fad-b1b0-7fd98b1fdd3a · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Sanity checks for saliency maps,
Reference 5
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Observation d23a88cc-0e7e-4445-a7e3-3fee53bd0562 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Bias-id: A framework for analyzing transformation biases in ai-generated image detectors,
Reference 6
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Observation 7d82690f-f118-46e9-9e88-c878da5064e2 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Sanity checks for saliency metrics,
Reference 7
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Observation c986c2ec-6cc1-4b16-9213-9bb05c996ad7 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Genimage: A million-scale benchmark for detecting ai-generated image,
Reference 8
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Observation 00eb13c1-4d3d-4ced-8a9c-2f9670eacd45 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows How fragile are training-free ai- generated image detectors? a controlled audit of score direc- tion, preprocessing, and compression,
Reference 9
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Observation 9c7a9f4c-70ad-4725-9041-8af4e97fa93b · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Dual data alignment makes ai-generated image detector easier generalizable,
Reference 10
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Observation fcbe4c2d-1191-4921-9459-6e38aad90a8a · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Interpretation of neural networks is fragile,
Reference 11
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Observation b7afe308-7378-42f5-ad7c-5abe0faff638 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows The (un)reliability of saliency methods,
Reference 12
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Observation 27f68ff3-62f4-474c-83a5-76e8dd727894 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows A comparative evaluation of explainability techniques for image data,
Reference 13
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Observation c78d88d4-b5d0-4472-be9a-4f40bd51c166 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows A bench- mark for interpretability methods in deep neural networks (roar),
Reference 14
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Observation fc3ceffe-bd8c-4886-87c4-9da082cbaeba · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows A consistent and efficient evaluation strategy for attribution methods,
Reference 15
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Observation a66c8a34-a5dc-4458-91ba-29847dbb79e6 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Counterfactual visual explanations,
Reference 16
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Observation 1daa664b-82c8-48d4-8ec4-5aaa7f8f33e2 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Discriminative attribution from counterfactuals,
Reference 17
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Observation 6b76978f-76f7-4d3e-af14-c7d2c91d897d · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Evaluating weakly supervised object localization methods right,
Reference 18
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Observation a4c7b618-f256-4d8d-a521-9f83a1aeccdd · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows The central fixation bias in scene viewing: Selecting an optimal viewing position independently of motor biases and image feature distributions,
Reference 19
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Observation ec72dea6-c970-4a5a-94a9-7a72b206cb27 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows What do different evaluation metrics tell us about saliency models?,
Reference 20
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Observation 0e77cf8a-35ab-4b81-b02d-1c99a2c85d59 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Trufor: Leveraging all-round clues for trustworthy image forgery detection and localization,
Reference 21
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Observation 2aa231f8-f079-42dc-9e03-07f97d632e7e · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Weakly-supervised deepfake localization in diffusion-generated images
Reference 22
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Observation 25f00a0f-22e0-4445-b68d-4b4181a9ad0d · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model
Reference 23
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Observation ff485df8-72b0-423e-ac4b-81b0d219b494 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Aigi-holmes: Towards explainable and generalizable ai-generated image detection via multimodal large language models,
Reference 24
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Observation 95ca6dee-6d60-494e-95d2-4c4beba55a7e · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Raising the bar of ai-generated image detection with clip,
Reference 25
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Observation d111200d-7c51-4e2b-97e8-ee4b121c25f1 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Dinov2: Learning robust visual features without supervision,
Reference 26
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Observation d7dc3ec6-f681-4848-a834-cac09ce6194f · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Learning transferable visual models from natural language supervision,
Reference 27
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Observation 365ca9b5-3e14-48e2-a83f-3841e6dbff92 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Sigmoid loss for language image pre-training,
Reference 28
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Observation c88545eb-c305-414c-b72b-951012473bb2 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Perception encoder: The best visual em- beddings are not at the output of the network,
Reference 29
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Observation 2647d4ca-c7ef-4786-8510-dbac13d4bb2a · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows On calibra- tion of modern neural networks,
Reference 30
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Observation 5b0bdf1f-69f6-4e61-baac-8438eed51f7d · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Rise: Randomized input sampling for explanation of black-box models,
Reference 31
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Observation 8916d905-535f-44de-ab2a-4358432f75e5 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Eraser: A benchmark to evaluate rationalized nlp models,
Reference 32
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Observation d33e1def-7445-4602-87ca-051f86be10ea · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows On the (in)fidelity and sensitivity of explana- tions,
Reference 33
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Observation 596ea94a-65b8-4229-ae82-4978b6a94974 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows On the faithfulness of vision transformer explanations,
Reference 34
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Observation 2e91a3c0-f842-45fb-9171-a1aa24619fce · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Top-down neural attention by excitation back- prop,
Reference 35
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Observation cccc0171-d415-4e38-acc1-b3a42128ac3e · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Slic superpixels compared to state-of-the-art superpixel methods,
Reference 36
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Observation c0926218-4c3a-4b5b-8f1f-dabd2802a269 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows "why should i trust you?
Reference 37
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Observation e0baf3f1-1c4f-4789-8432-17177cf9ccea · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Understanding deep networks via extremal perturbations and smooth masks,
Reference 38
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Observation 06a72f62-5c8b-4729-bf8b-c187eb0b91c5 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Transformer interpretability beyond attention visualization,
Reference 39
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Observation 0573d6b9-cd6f-4eb5-836e-06ca626876d6 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows An image is worth 16x16 words: Transformers for image recognition at scale,
Reference 40
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Observation eda8b76a-a46b-4568-9cb2-814f2a5a5198 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows De-fake: Detection and attribution of fake images generated by text-to-image generation models,
Reference 41
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Observation 68c32c64-b28f-45e5-b0f9-abd4aa8e35ef · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Grad-cam: Visual explanations from deep networks via gradient-based localization,
Reference 42
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Observation 94d05848-7f06-4245-9b60-26fa5090479e · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks,
Reference 43
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Observation 030e0f8b-e75c-4be7-9956-1dcec065fafc · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Layercam: Exploring hierarchical class activation maps for localization,
Reference 44
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Observation f136359f-ef73-4be0-bcd3-287c2a0dd5a5 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Score-cam: Score-weighted visual explanations for convolutional neural networks,
Reference 45
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Observation cf90607e-3172-4171-b680-ad7a459428fd · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Ablation-cam: Visual ex- planations for deep convolutional network via gradient-free localization,
Reference 46
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Observation 3d93ca58-da77-4d72-b6e8-9067a50a42dc · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Axiomatic attribution for deep networks,
Reference 47
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Observation c0abf3b5-f834-40ce-880f-248fdc539a51 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Smoothgrad: removing noise by adding noise,
Reference 48
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Observation 23f2dd03-9438-47c8-8188-60338e34d714 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Visualizing and understanding convolutional networks,
Reference 49
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Observation e5d573b9-c74c-49f4-b7d9-169f7b0cc7f2 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows A unified approach to inter- preting model predictions,
Reference 50
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Observation c62d62e8-d257-4dd8-8dc3-b7978bd0c017 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Efficient graph- based image segmentation,
Reference 51
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Observation 27c8951f-cb96-4cd4-aaff-7f8977ddf0b6 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Segment anything,
Reference 52
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Observation 7883ff01-f501-485b-abbf-638acf3ad4ba · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Quantifying attention flow in transformers,
Reference 53
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Observation e98aec4d-cec7-4fc9-bd46-d9d286882008 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Vit-cx: Causal explanation of vision transformers,
Reference 54
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Observation 1558ea2e-d6fb-4aa6-b83d-e099830f5732 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Legrad: An explainability method for vision transformers via feature formation sensitivity,
Reference 55
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Observation 132b6802-c522-4314-9ae4-3e584046acce · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Token transformation matters: Towards faithful post-hoc explanation for vision transformer,
Reference 56
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Observation b9ee39da-e6ef-4fbe-bc50-151f75fa7933 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Quantus: An explainable ai toolkit for responsible evaluation of neural network explanations and beyond,
Reference 57
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Observation 323841ac-c580-43a7-b7f6-b9d6f5c95a94 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows The meta-evaluation prob- lem in explainable ai: Identifying reliable estimators with metaquantus,
Reference 58
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Observation ce57d919-8465-4859-97d2-18db8b60d34b · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows A meaningful perturbation metric for evaluating explainability methods,
Reference 59
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Observation f377865b-5859-4e87-b676-98bff56c1eef · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Saliency benchmarking made easy: Separating models, maps and met- rics,
Reference 60
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Observation 8b493408-246e-4d13-aa90-49b6fa6e6cf6 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Hierar- chical fine-grained image forgery detection and localization,
Reference 61
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Observation b78db149-4e49-4868-8272-7d0e24876c51 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Iml- vit: Benchmarking image manipulation localization by vision transformer,
Reference 62
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Observation 1c125403-ac22-4636-8984-52156b0edba9 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Learning jpeg compression artifacts for image manipulation detection and localization (cat-net),
Reference 63
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Observation 383fa0a4-4a74-44d6-ae3c-7f810dc65e3a · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Casia image tampering detec- tion evaluation database,
Reference 64
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Observation 3212362b-2a50-48ad-aaba-e5b61729f330 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Imd2020: A large- scale annotated dataset tailored for detecting manipulated images,
Reference 65
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Observation 64842b97-1c32-41cb-bee7-8b5501151fff · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Au- tosplice: A text-prompt manipulated image dataset for media forensics,
Reference 66
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Observation b8e46afe-dddf-4306-b24b-994e85eb2f56 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows Magicbrush: A manually annotated dataset for instruction-guided image editing,
Reference 67
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Observation 184dbbc4-11a4-43a7-abff-4324a880c2d9 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows one reference → one model → one composite prompt → one image
Reference 68
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Observation 4a3c5275-5911-4e91-b325-65ab87dee827 · outbound
Explaining AI-Image Detection: What the Heatmap Actually Shows check passed
Reference 69
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No inbound Pith citation observations are available.