LIL Quantum DSL V.6 — Prespatial Chronogeometry Temporal–Semantic Computing Module

The LIL V.6 Prespatial Chronogeometry Engineering Computing Module represents the next conceptual stage in the evolution of the LIL Quantum DSL family. Building on the non‑binary impulse logic of LIL V.3 and the semantic compression framework of LIL V.4, LIL V.6 introduces a unified temporal–semantic layer designed for modern AI latent spaces. This public academic edition presents the high‑level mathematical and conceptual principles behind temporal coherence, semantic geometry, identity preservation, and latent‑space evolution. Temporal behavior is treated as an intrinsic structural property of semantic constructs, enabling coherent progression, stable identity, and predictable transitions across generative processes. The document outlines how semantic and temporal dimensions can coexist within compressed latent representations, forming a continuous lineage: LIL V.3 → LIL V.4 → LIL V.5 → LIL V.6. All engineering‑level mechanisms, operators, and theoretical implementation details remain protected and are available exclusively under NDA. This edition serves as a safe, academically transparent reference for future research into structured temporal behavior within AI systems.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-08
DOI
https://doi.org/10.5281/zenodo.23246050
Primary Topic
Cognitive Computing and Networks
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

LIL Quantum DSL V.6 — Prespatial Chronogeometry Temporal–Semantic Computing Module

Mindaugas Pipiras
Zenodo (CERN European Organization for Nuclear Research)
Cognitive Computing and Networks
preprint

LIL Quantum DSL V.6 — Prespatial Chronogeometry Temporal–Semantic Computing Module

Mindaugas Pipiras
preprint en

Abstract

The LIL V.6 Prespatial Chronogeometry Engineering Computing Module represents the next conceptual stage in the evolution of the LIL Quantum DSL family. Building on the non‑binary impulse logic of LIL V.3 and the semantic compression framework of LIL V.4, LIL V.6 introduces a unified temporal–semantic layer designed for modern AI latent spaces. This public academic edition presents the high‑level mathematical and conceptual principles behind temporal coherence, semantic geometry, identity preservation, and latent‑space evolution. Temporal behavior is treated as an intrinsic structural property of semantic constructs, enabling coherent progression, stable identity, and predictable transitions across generative processes. The document outlines how semantic and temporal dimensions can coexist within compressed latent representations, forming a continuous lineage: LIL V.3 → LIL V.4 → LIL V.5 → LIL V.6. All engineering‑level mechanisms, operators, and theoretical implementation details remain protected and are available exclusively under NDA. This edition serves as a safe, academically transparent reference for future research into structured temporal behavior within AI systems.

Zenodo (CERN European Organization for Nuclear Research)
Cognitive Computing and Networks
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.