EXP-004VALIDATED
Advantage Decomposition / Representation

Quotient and context semantic transport

Context classes and quotient representations can compress repeated semantic behavior without changing exact decisions.

Claim statusNO MINING ADVANTAGE CLAIM

Diagnostic work, exact algebra and local capabilities are not treated as end-to-end mining advantage.

Date2026-08-14
HardwareClassical deterministic verifier
Run scopeSeven registered variants
ReproducibilityClass membership and representative outputs are deterministic and checked against direct state evaluation.
01 / Question & hypothesis

What was tested?

Context classes and quotient representations can compress repeated semantic behavior without changing exact decisions.

02 / Scientific basis

Why the test is meaningful

A quotient representation groups states only when they induce identical observable behavior at the declared interface. This is a lossless semantic equivalence relation, unlike statistical clustering: members of one class must produce the same transported decision for all registered inputs.

x ~ y ⇔ D(F(x,c)) = D(F(y,c)) for every registered cQ = X / ~dispatch(x) = representative([x])
Quotient and context semantic transportVisual reading of the published metrics and gates for EXP-004; it summarizes the registered result, not a mining advantage.EXP-004 / QUOTIENT AND CONTEXT SEMANTIC TRANSPORTVARIANTS7REPRESENTATIONQUOTIENTEXACTNESS GATEPASSED
FIGURE / RESULT READINGVisual reading of the published metrics and gates for EXP-004; it summarizes the registered result, not a mining advantage.
03 / Method

How it was tested

Partition registered interfaces into semantic classes, compile representative transitions and validate class-dispatched results against direct computation.

04 / Observed result

What happened

Variants7
RepresentationQUOTIENT
Exactness gatePASSED

The quotient/context transport package completed its exactness gates across seven variants.

05 / Validation

Exactness and statistical controls

Class membership, representative output and direct output were audited independently across seven variants. Passing the exactness gate shows lossless compression on the registered domain; no inference was made from class frequency alone.

06 / Interpretation

What the result means

Repeated behavior can be represented more compactly, but class construction and dispatch are part of the eventual operational cost.

Limitations

  • Building and storing the quotient has a cost.
  • A quotient may be context-specific and require recompilation for another job.
  • Fewer semantic classes do not automatically mean fewer hardware gates.
07 / Reproduction

Evidence trail

Class membership and representative outputs are deterministic and checked against direct state evaluation.

Canonical variants

SUBENGINE-V4ASUBENGINE-V4BSUBENGINE-V4CSUBENGINE-V4DSUBENGINE-V4ESUBENGINE-V4FSUBENGINE-V4G

Source: internally audited canonical reports. Local filesystem structure, private headers and operational identifiers are excluded from publication.