paper-radar-jev

Name: paper-radar-jev
Availability: InStock
Author: LYchoon

Jev-powered: An automated research paper radar that fetches the latest papers from arXiv, evaluates their relevance to a configurable research profile using TypeSafe AI, and ranks them by relevance sc

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Last updated: September 23, 2026

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git clone https://github.com/LYchoon/paper-radar-jev.git

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paper-radar-jev

An automated research paper radar that fetches the latest papers from arXiv, evaluates their relevance to a configurable research profile using TypeSafe AI, and ranks them by relevance score. Designed for personalized, daily literature discovery across different research domains.

Where Jev makes the decision

Jev returns a structured decision for the local program; consult the source for the exact decision policy.

Why it matters

Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.

Claims & evidence

Author and repository text is preserved where clear; missing languages are enriched automatically. Checks establish source-level Jev integration, not runtime, safety, or performance validation.

About Jev

Jev is TypeSafe AI's System One decision model: it returns typed scores and choices (not free text), so agents can route, filter and gate at low latency and cost.

Source: LYchoon/paper-radar-jev — 1 stars, MIT. Listed by Awesome Jev.

paper-radar-jev

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paper-radar-jev

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