Warrant Containment in Dependency Graphs

A conclusion rests on grounds; when a ground is withdrawn, some conclusions stop standing. This note reports a small instrument that computes which — a two-valued calculus over marked inputs, machine-checked in Lean 4 on an empty axiom list, with a ledger over it — and spends most of its length on measurements of when its answer is worth having. The useful results are negative. Redundancy does nothing whatever against a chosen loss, and works against a random one only at levels no real system has: anchored on a real dependency graph rather than a generated one, a random loss costs 93% of the collective and there is no containment at all. Declared redundancy resting on a shared origin reports a safety it does not provide. An incomplete dependency map errs in a direction set by the kind of missing edge, flattering in one case and frightening in the other. Twelve predictions made in the course of the work were refuted by its own runs — one of those refutations was itself refuted — and all are reported. Every figure is printed by a program in a public repository.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-18
DOI
https://doi.org/10.5281/zenodo.21981726
Primary Topic
Logic, Reasoning, and Knowledge
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Warrant Containment in Dependency Graphs

Vitaliy Reznik
Zenodo (CERN European Organization for Nuclear Research)
Logic, Reasoning, and Knowledge
preprint

Warrant Containment in Dependency Graphs

Vitaliy Reznik
preprint en

Abstract

A conclusion rests on grounds; when a ground is withdrawn, some conclusions stop standing. This note reports a small instrument that computes which — a two-valued calculus over marked inputs, machine-checked in Lean 4 on an empty axiom list, with a ledger over it — and spends most of its length on measurements of when its answer is worth having. The useful results are negative. Redundancy does nothing whatever against a chosen loss, and works against a random one only at levels no real system has: anchored on a real dependency graph rather than a generated one, a random loss costs 93% of the collective and there is no containment at all. Declared redundancy resting on a shared origin reports a safety it does not provide. An incomplete dependency map errs in a direction set by the kind of missing edge, flattering in one case and frightening in the other. Twelve predictions made in the course of the work were refuted by its own runs — one of those refutations was itself refuted — and all are reported. Every figure is printed by a program in a public repository.

Zenodo (CERN European Organization for Nuclear Research)
Logic, Reasoning, and Knowledge
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.