KEFE P: Possibility and Physical Realization - Typed candidates, accessibility, ordered history, and source ownership

KEFE P defines the typed bridge between possible structural continuations and physically realized events within the KEFE Foundation suite. It separates candidate generation, relational admissibility, physical fit, selection, and source-owned realization while establishing representation-independent accessibility and predictive equivalence. The paper also distinguishes transported packets and prepared links from their realized and healed states.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-09
DOI
https://doi.org/10.5281/zenodo.22675775
Primary Topic
Machine Learning in Materials Science
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

KEFE P: Possibility and Physical Realization - Typed candidates, accessibility, ordered history, and source ownership

Ralf Krimke
Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Materials Science
preprint

KEFE P: Possibility and Physical Realization - Typed candidates, accessibility, ordered history, and source ownership

Ralf Krimke
preprint en

Abstract

KEFE P defines the typed bridge between possible structural continuations and physically realized events within the KEFE Foundation suite. It separates candidate generation, relational admissibility, physical fit, selection, and source-owned realization while establishing representation-independent accessibility and predictive equivalence. The paper also distinguishes transported packets and prepared links from their realized and healed states.

Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Materials Science
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.