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STIMSMITH

UniWit

Tool
First seen 7/17/2026
Last seen 7/26/2026
Evidence 13 chunks

NEIGHBORHOOD

5 nodes · 7 edges
graph · UniWit · depth=1

RELATIONSHIPS

12 connections
UniGen ← compares with 100% 5e
UniGen is explicitly compared against UniWit in terms of theoretical guarantees and runtime performance.
Leapfrogging Heuristic uses → 100% 3e
Chakraborty et al. proposed the leapfrogging heuristic to improve UniWit's scalability at the cost of guarantees.
Uniform Generation of SAT Witnesses implements → 100% 2e
UniWit is a near-uniform generator of SAT witnesses.
Supratik Chakraborty authored by → 95% 2e
Chakraborty is listed as an author of UniWit.
Kuldeep S. Meel authored by → 95% 2e
Meel is listed as an author of UniWit.
Moshe Y. Vardi authored by → 95% 2e
Vardi is listed as an author of UniWit.
UniGen Paper (DAC 2014) ← evaluates 100% 2e
The paper evaluates UniWit as a reference baseline for performance comparison.
XOR-based Hash Partitioning uses → 100% 2e
UniWit uses 3-wise independent linear hash functions for XOR-based partitioning.
Hashing-Based Sampling implements → 100% 1e
UniWit uses hashing-based techniques for generating SAT witnesses.
hashing-based sampling implements → 97% 1e
UniWit is a hashing-based SAT witness generator using 3-wise independent linear hash functions.
XOR clauses uses → 95% 1e
UniWit uses XOR clauses of size |X|/2 on average, causing scalability issues.
uniform SAT witness generation implements → 96% 1e
UniWit is a hashing-based algorithm for near-uniform generation of SAT witnesses.