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The Cognitive Fingerprint Problem: Transformer-LSTM Perplexity Geometry for Fair and Adversarially Robust AI Text Detection

2026-03-03

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<title>Abstract</title> <p>As AI text detection systems become increasingly embedded in academic integrity enforcement, recent empirical audits have exposed a severe and systematic bias against English as a Second Language (ESL) writers. Standard detectors, which rely predominantly on sub-word perplexity measured against models trained on native English, frequently conflate the natural linguistic simplicity of hu...

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Literature Corpus work: 3564b6ac-651d-5f2a-8ad8-f520c1830c83
DOI: 10.21203/rs.3.rs-9006491/v1

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