# Big data approach to Kazhdan-Lusztig polynomials

arXiv: https://arxiv.org/abs/2412.01283 · HTML: https://mlsanity.com/paper/2412.01283/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Dec 2024.

## Built on by (most cited first, 4 of 4)

- [Big data comparison of quantum invariants](https://mlsanity.com/paper/2503.15810/) (2025)
- [On detection probabilities of link invariants](https://mlsanity.com/paper/2509.05574/) (2025)
- [On knot detection via picture recognition](https://mlsanity.com/paper/2510.06284/) (2025)
- [RL unknotter, hard unknots and unknotting number](https://mlsanity.com/paper/2603.07955/) (2026)

## Abstract (arXiv)

We investigate the structure of Kazhdan-Lusztig polynomials of the symmetric group by leveraging computational approaches from big data, including exploratory and topological data analysis, applied to the polynomials for symmetric groups of up to 11 strands.