myMNIST: Benchmark of PETNN, KAN, and Classical Deep Learning Models for Burmese Handwritten Digit Recognition

myMNIST: Benchmark of PETNN, KAN, and Classical Deep Learning Models for Burmese Handwritten Digit Recognition | Signal Canvas | ScienceToStartup

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Canonical route: /signal-canvas/mymnist-benchmark-of-petnn-kan-and-classical-deep-learning-models-for-burmese-handwritten-digit-recognition

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Proof freshness: stale
Proof status: unverified
Display score: 4/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

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Canonical ID mymnist-benchmark-of-petnn-kan-and-classical-deep-learning-models-for-burmese-handwritten-digit-recognition | Route /signal-canvas/mymnist-benchmark-of-petnn-kan-and-classical-deep-learning-models-for-burmese-handwritten-digit-recognition

REST example

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MCP example

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source_context

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Evidence Receipt

Route status: building

Claims: 0

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: myMNIST: Benchmark of PETNN, KAN, and Classical Deep Learning Models for Burmese Handwritten Digit Recognition

PDF: https://arxiv.org/pdf/2603.18597v1

Source count: Pending verification

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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Subject: myMNIST: Benchmark of PETNN, KAN, and Classical Deep Learning Models for Burmese Handwritten Digit Recognition

Verdict

Ignore

myMNIST: Benchmark of PETNN, KAN, and Classical Deep Learning Models for Burmese Handwritten Digit Recognition

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