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AI is dramatically lowering the cost of reading papers, writing code, and running experiments. But as research output explodes, telling which results can be trusted keeps getting harder. CiteArk connects the claims in scientific papers with their experimental conditions, execution process, result evidence, and verification records, so researchers and agents can verify claims, reuse experimental results, and build follow-up research on them instead of repeating work. We hope these trustworthy research records will grow into a scientific foundation that researchers, labs, and agents can all build on together.

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Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking · CiteArk

Egalitarian Gradient Descent: A Simple Approach to Accelerated Grokking

PublicScope: Standard

Authors:Ali Saheb Pasand, Elvis Dohmatob

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999 files · 13.7 MB

CCiteArk CAP 1.0 Verified RunnerVerification runnerImport verified CAP 1.0 research Artifact—Current version

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README.md37 KB

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