Nodes

Core nodes

Node	Purpose
Dataset Input	Load prepared CSV/JSON data into the workflow.
Predicate / Oracle	Convert rules over prepared rows into executable predicates and oracle-ready structures.
Semantic Operation	Apply controlled mathematical or semantic operations to prepared values.
Decision Model	Build auditable selection, scoring and ranking workflows over prepared values.
Combinatorial Search	Explore bounded combinations across candidate spaces.
QIntent	Write declarative QDSV-native instructions for flexible problem expression.
QDSV Console	Run commands, compile QIntent, inspect jobs, export results and review evidence.
Output	Review and export enriched results.
Traces / Verification	Inspect execution route, backend, evidence and reliability reports.

Experimental nodes

Experimental nodes are meant for research, pilots and controlled validation. They should not be presented as production security, production sensing certification or guaranteed quantum advantage.

• Semantic AI Explorer.

• Crypto QDSV.

• Sensing Evidence QDSV.