Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T01:35:43.979206Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 100 of 110 outbound references and 1 inbound Pith citation observation for arXiv:2607.03562.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: paper_references, paper_reference_links, observed 2026-07-12T01:35:43.979206Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 110 outbound references displayed
External citation measurements
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XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection Prompt-to-Prompt Image Editing with Cross Attention Control
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XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection The DeepFake Detection Challenge (DFDC) Dataset
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Observation cc6a23a4-bd6c-4167-83e2-c8f1895280d6 · outbound
XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistant
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XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
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XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment
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XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs
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XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images
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Observation abeec3ed-4835-47fa-bf38-a9430da9870e · outbound
XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection Explanation in artificial intelligence: Insights from the social sciences.Artificial Intelligence, 267:1–38, 2019
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XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection Can we do better explanations? a proposal of user-centered explainable ai
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XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection On the Detection of Digital Face Manipulation
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XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain
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XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection Face X-ray for More General Face Forgery Detection
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XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking
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XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection M2tr: Multi-modal multi-scale transformers for deepfake detection
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