DSAC as a Realization of Transputation A Candidate Architecture for Internal Adjudication Under Closure

Paper 76 defines transputation as the internal adjudicative layer forced under closure and record-divergent choice in diagonal-capable frameworks. This paper presents DSAC (Delta Self-Adjudicative Computation) as a candidate realization family, supported by an abstract interface-level formalization in transputation-lean. We map the \Delta-machine architecture—continuous lattice, reflexive constraint graph, scenario-driven execution—to the realization criteria of Paper 76. DSAC is presented as a candidate realization family satisfying the Paper 76 realization criteria; it is evidence of realizability, not the definition of the adjudicative class. We summarize validation evidence from a series of experiments: SAT, Max-SAT, constraint discovery, metric closure, and the traveling salesman problem (TSP). DSAC is not the definition of transputation; it is one implementation family that operationalizes the structural role identified in Paper 76. This overview presents the core NEMS theorem engine and selected applications; stronger domain-specific derivation and ontological synthesis claims belong to separate release surfaces with their own premise bundles and formal artifacts. Trust boundary. Scenario performance is empirical; machine-checked content is the interface layer in transputation-lean (see ). No claim is made that the \Delta-machine dynamics have been fully formalized in Lean.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-13
DOI
https://doi.org/10.5281/zenodo.22733322
Primary Topic
Logic, programming, and type systems
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

DSAC as a Realization of Transputation A Candidate Architecture for Internal Adjudication Under Closure

Nova Spivack
Zenodo (CERN European Organization for Nuclear Research)
Logic, programming, and type systems
preprint

DSAC as a Realization of Transputation A Candidate Architecture for Internal Adjudication Under Closure

Nova Spivack
preprint en

Abstract

Paper 76 defines transputation as the internal adjudicative layer forced under closure and record-divergent choice in diagonal-capable frameworks. This paper presents DSAC (Delta Self-Adjudicative Computation) as a candidate realization family, supported by an abstract interface-level formalization in transputation-lean. We map the \Delta-machine architecture—continuous lattice, reflexive constraint graph, scenario-driven execution—to the realization criteria of Paper 76. DSAC is presented as a candidate realization family satisfying the Paper 76 realization criteria; it is evidence of realizability, not the definition of the adjudicative class. We summarize validation evidence from a series of experiments: SAT, Max-SAT, constraint discovery, metric closure, and the traveling salesman problem (TSP). DSAC is not the definition of transputation; it is one implementation family that operationalizes the structural role identified in Paper 76. This overview presents the core NEMS theorem engine and selected applications; stronger domain-specific derivation and ontological synthesis claims belong to separate release surfaces with their own premise bundles and formal artifacts. Trust boundary. Scenario performance is empirical; machine-checked content is the interface layer in transputation-lean (see ). No claim is made that the \Delta-machine dynamics have been fully formalized in Lean.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Logic, programming, and type systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.