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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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© 2026 CiteArk · Ligu Corp. The traceable evidence layer for research.

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Past research reports

research-source-v1

Deep Residual Learning for Image Recognition

Evidence snapshot 2131660d94

Extension views are derived presentations, not scientific evidence, and never change Run · Match · Repeat.

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