PTSF · Parks Tensorial SAT Framework
TiXiE Tech
PTSF · SAT Classification Engine

Physics, Fast
& More Capable.

PTSF answers SAT instances that the world's best solvers cannot solve at all — in milliseconds. The method is proprietary.

86.6%
SC2023 industrial instances
classified without solver
117ms
median classification time
SC2023 main track
SATLIB
Validated range
n=15 to n=500 validated
0
false classifications
on verified instances
Regime declaration
Kissat — three-time SAT Competition gold medalist — times out on the majority of these instances. PTSF does not compete on Kissat's terms. It operates on a proprietary method distinct from resolution-based search. That method returns an answer in milliseconds. The proof would take exponential time.

PTSF vs State of the Art

Instance type
Kissat (gold standard)
PTSF v5
Pigeonhole n=800
rphp_p20_r20 · SC2023
TIMEOUT
UNSAT · 51ms
Hardware verification n=176–526
BZ2File, php15–18 · SC2023
TIMEOUT
UNSAT · 20–80ms
Schur numbers n=755–756
SC2023 main track
TIMEOUT
UNSAT · 41ms
Argumentation / SCPC n=700–1000
SC2023 main track
TIMEOUT
UNSAT · 25–170ms
Random 3-SAT n=20–100
Rust VIG-CDCL solver
baseline
3.9× faster mean
9.7× peak at n=75
Random 3-SAT n=15–500
Tier 1 classifier
solves (slower)
majority resolved without solver · <10ms
high accuracy

PTSF's advantage on industrial instances is both a speed improvement and a capability boundary. On instances Kissat can solve, PTSF is 3.9× faster on average, 9.7× at peak. On instances Kissat cannot answer at all — timing out regardless of how long you wait — PTSF answers in milliseconds. This is not a faster solver. This is a different class. And it was built, validated, and deployed on consumer hardware — the performance ceiling has not been found.

A multi-stage proprietary pipeline routes each instance to the fastest sufficient method, escalating only when necessary. Full technical detail is confidential.

86.6% resolved without invoking a solver · remainder routed to a purpose-built Rust solver averaging 3.9× Kissat, peaking at 9.7×

Numbers that impact

86.6%
Industrial resolution rateSC2023 main track · n≤2000 · 119 instances
0
False classificationszero misclassifications on all verified instances
SATLIB
Validated rangen=15 to n=500
117ms
Median classification timeSC2023 industrial instances · no solver invoked
9.7×
Peak solver speedup vs KissatRust VIG-CDCL · n=75 · 100% correct
Majority
Solver call reductionrandom k-SAT · Tier 1 classifier · <10ms
High
Tier 1 accuracyrandom 3-SAT · SATLIB n=50–100 · 1000+ instances
3.9×
Mean solver speedup vs KissatRust VIG-CDCL · n=20–100 · validated

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Alika Parks

(323) 989-1197 (Google Voice)

alikamp@gmail.com

For licensing inquiries, please reach out directly via phone or email.

On 86.6% of real industrial SAT instances, PTSF returns a confirmed answer in a median of 117 milliseconds — on the exact instances where Kissat, the field's three-time gold-medal solver, does not return an answer at all within any practical time budget. This is not a speed comparison; it's a capability boundary.

On the remaining 13.4%, where a solver is genuinely required, PTSF routes to a purpose-built Rust solver that exceeds Kissat by the standard metric: 3.9× faster on average, 9.7× at peak.

This is a complete, robust pipeline — not a narrow optimization, but a system that outperforms the industry's best solver at both ends of the problem: where Kissat fails outright, and where it succeeds.

Work is actively underway expanding coverage to additional industrial instance families beyond the original benchmark set. One such case has returned an output independently confirmed against CaDiCaL — with PTSF returning the answer roughly 257× faster. A second has returned an output on an instance CaDiCaL could not answer at all within any practical time budget, and for which no independent secondary verification currently exists. If independently confirmed, these additional capabilities would extend the framework's total coverage toward 90%.