GENTEL-lab/Fold2Reason

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Momentum

How fast GENTEL-lab/Fold2Reason is gaining stars, and where it lands on Trendshift and GitHub Trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Oct 4 – Oct 21, 2026

Stars +109 in 18 days

20

Forks +8 in 18 days

1

Merged PRs 0 in 18 days

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Oct 4Oct 7Oct 10Oct 13Oct 16Oct 19

Stars, forks, merged pull requests and Trendshift Trending rank, by day
Day	Stars gained	Forks gained
Sun, Oct 4, 2026	+0	+0
Mon, Oct 5, 2026	+6	+1
Tue, Oct 6, 2026	+20	+0
Wed, Oct 7, 2026	+6	+1
Thu, Oct 8, 2026	+4	+1
Fri, Oct 9, 2026	+14	+0
Sat, Oct 10, 2026	+10	+0
Sun, Oct 11, 2026	+10	+1
Mon, Oct 12, 2026	+7	+0
Tue, Oct 13, 2026	+14	+0
Wed, Oct 14, 2026	+14	+1
Thu, Oct 15, 2026	+3	+1
Fri, Oct 16, 2026	+0	+1
Sat, Oct 17, 2026	+1	+1
Sun, Oct 18, 2026	+0	+0
Mon, Oct 19, 2026	+0	+0
Tue, Oct 20, 2026	+0	+0
Wed, Oct 21, 2026	+0	+0
Total	+109	+8

Recent discussions about this repository across the web

Oct 61 post
- 📄 Does Learning Protein Folding Generalize to Broader Reasoning? by Yong Liu, Zhanpeng Shi et al. Uses protein-derived structural QA and shared 3D geometry supervision to post-train an LLM, then…
  Read full on X, posted by @papersdatacode
  @papersdatacode · x.com
Oct 51 post
- Fold2Reason: training on protein folding improves broad reasoning Post-training on FoldingCorpus raises macro-average accuracy from 45.09% to 48.33% across 10 reasoning benchmarks, with 2.7–3.5×…
  Read full on X, posted by @HuggingPapers
  @HuggingPapers · x.com

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