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lcrh/lattice-deduction-transformers

Reproduction code for Lattice Deduction Transformers

Visit GitHub
Python
42
8
2 contributors
MIT License
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Momentum

How fast lcrh/lattice-deduction-transformers is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

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

Aug 27 – Oct 26, 2026

Stars +5 in 61 days

012
2

Forks +0 in 61 days

01

Merged PRs 0 in 61 days

01

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

Not in the Trendshift top 25 in this period

Aug 27Sep 4Sep 12Sep 20Sep 28Oct 6Oct 14Oct 22
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Thu, Aug 27, 2026+1+00
Fri, Aug 28, 2026+0+00
Sat, Aug 29, 2026+0+00
Sun, Aug 30, 2026+0+00
Mon, Aug 31, 2026+0+00
Tue, Sep 1, 2026+0+00
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Mon, Sep 7, 2026+0+00
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Wed, Sep 9, 2026+0+00
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Sat, Sep 12, 2026+0+00
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Fri, Sep 18, 2026+0+00
Sat, Sep 19, 2026+0+00
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Mon, Sep 21, 2026+1+00
Tue, Sep 22, 2026+0+00
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Thu, Sep 24, 2026+0+00
Fri, Sep 25, 2026+0+00
Sat, Sep 26, 2026+0+00
Sun, Sep 27, 2026+0+00
Mon, Sep 28, 2026+0+00
Tue, Sep 29, 2026+1+00
Wed, Sep 30, 2026+2+00
Thu, Oct 1, 2026+0+00
Fri, Oct 2, 2026+0+00
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Sat, Oct 10, 2026+0+00
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Tue, Oct 13, 2026+0+00
Wed, Oct 14, 2026+0+00
Thu, Oct 15, 2026+0+00
Fri, Oct 16, 2026+0+00
Sat, Oct 17, 2026+0+00
Sun, Oct 18, 2026+0+00
Mon, Oct 19, 2026+0+00
Tue, Oct 20, 2026+0+00
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Total+5+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Jun 81 post

    • An 800K model just aced impossible Sudoku in 15 minutes. Most reasoning models scale up to get smarter. This one goes the other way. A new paper introduces the Lattice Deduction Transformer. It is a…

      Read full on X, posted by @AlphaSignalAI

      @AlphaSignalAI · x.com

  2. 7 days earlier
  3. Jun 14 posts

    • But this needs to be made explicit in the comparison table. The LDT repo counts CORRECT_ALT—a valid optimal path different from the ground-truth label—as correct: I think this is a reasonable choice.…

      Read full on X, posted by @huskydogewoof

      @huskydogewoof · x.com

    • 5/ Maze-Hard: I really like an important part of the LDT setup. Maze has many valid shortest paths. Exact-matching one arbitrary A* path is not the right semantic objective. Counting any valid…

      Read full on X, posted by @huskydogewoof

      @huskydogewoof · x.com

    • 2/ Sudoku-Extreme: the paper/table reports LDT as using a 1K train set. However, in the released reproduction code, the dataset loader appears to load sapientinc/sudoku-extreme, with n_puzzles=None…

      Read full on X, posted by @huskydogewoof

      @huskydogewoof · x.com

    • 1/ Congrats to the LDT authors! The 100% Sudoku-Extreme result is really surprising. Honestly, I was shocked, as I had to work very hard to push my own number to ~99.8% on Sudoku-Extreme ( And the…

      Read full on X, posted by @huskydogewoof

      @huskydogewoof · x.com

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