Pith. sign in

REVIEW 2 cited by

Locally consistent decomposition of strings with applications to edit distance sketching

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2302.04475 v2 pith:JTC3YUOM submitted 2023-02-09 cs.DS

classification cs.DS
keywords editdistancedecompositionsizesketchstringstringswidetilde
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
abstract

In this paper we provide a new locally consistent decomposition of strings. Each string $x$ is decomposed into blocks that can be described by grammars of size $\widetilde{O}(k)$ (using some amount of randomness). If we take two strings $x$ and $y$ of edit distance at most $k$ then their block decomposition uses the same number of grammars and the $i$-th grammar of $x$ is the same as the $i$-th grammar of $y$ except for at most $k$ indexes $i$. The edit distance of $x$ and $y$ equals to the sum of edit distances of pairs of blocks where $x$ and $y$ differ. Our decomposition can be used to design a sketch of size $\widetilde{O}(k^2)$ for edit distance, and also a rolling sketch for edit distance of size $\widetilde{O}(k^2)$. The rolling sketch allows to update the sketched string by appending a symbol or removing a symbol from the beginning of the string.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. TCS-BENCH: Benchmarking State-of-the-Art Generative AI Theoretical Computer Science Research Ability

    cs.CL 2026-08 reject novelty 7.0 of 10

    The paper introduces TCS-Bench, a 300-task proof-generation benchmark from top TCS papers, and reports frontier LLM accuracies from 30% to 68% using an automated verifier.

  2. Communication-efficient parallel Bruhat decomposition

    cs.DS 2026-08 conditional novelty 6.0 of 10

    Two BSP algorithms for Bruhat decomposition achieve O(n^3/p) computation, O(n^2/p^(2/3)) communication, and a tunable synchronization cost, with the strip-recursive variant matching the best known trade-off for LU dec...

Pith tools