Wang-auspicious/paper-xray
- Total stars
- 61
- Today · UTC
- +0since 00:20 UTC
More actions
Teach any paper cold: a Hinton-meets-3B1B deep-reading prompt that reconstructs how the authors actually thought -- full verbatim edition
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About the project
A skill for AI agents that deep-reads a research paper: reconstructs the authors' reasoning, works formulas on concrete examples, and audits the evidence instead of restating the abstract.
Useful for
- Turn an arXiv paper into an interactive HTML with step-through traces and sliders
- Audit hyperparameters, ablations, and baseline alignment in someone else's work
- Produce a long Markdown deep-read covering appendices and footnotes
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Star growth looks organic. Data as of October 7, 2026, 03:17 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.
Why it’s trending
- Star-counter measurements on 2026-10-07 (UTC), 00:20–03:13: 61 → 61 stars (+0). This is the change over that interval.
- Estimated end-of-day forecast: about +2 stars, using observed gains and the previous day.
- The repository is 4 days old and already has 61 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #189.
- Recent forks include notable developers: @ilovejs (284 followers).
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 61
- Today
- +0 stars measured 2026-10-07, 00:20–03:13 UTC, ≈ 2 by evening
- Forks
- 4
- Issues and pull requests
- 0
- Watchers
- 1
- Language
- HTML
- License
- MIT
- Created
- October 3, 2026
- Last push
- October 5, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- October 7, 2026Top new repositories this week: #182