Leaky Integration as Safe Edge Regulation: A Layer-9 Control Mechanism in Safe Attractor Architecture

This technical report presents two paired-design experiments (L2 and L2b)investigating leaky integration as a structural noise mechanism within the SafeAttractor Architecture (SAA) framework. Previous experiments established thatamplitude-modulated noise (β(t) modulation) is structurally safe but producesno measurable improvement in safe-edge occupancy. We demonstrate that leakyintegration, parameterized by a mixing coefficient λ controlling the blend betweenthe current hidden state and the attention update, produces a qualitatively differentand strongly positive effect.In Test L2 (Npairs = 30, paired design), all five λ < 1.0 conditions showedsubstantial improvement in pedge (Δpedge > 0.35), substantial reduction in pchaos,and no MSE degradation relative to the static λ = 1.0 baseline. In Test L2b(Npairs = 30), a full λ sweep from 1.0 to 0.2 revealed three distinct operating regimes:a chaos-prone regime (λ = 0.8–1.0), a safe edge zone (λ = 0.5–0.7), and a freeze zone(λ = 0.2–0.4). The optimal operating point is λ = 0.5, maximizing pedge = 0.640,while the balanced operating point considering freeze risk is λ = 0.6 (pedge = 0.614,pchaos = 0.110, freeze rate = 0.20).These findings suggest that leaky integration is a viable candidate for Layer-9structural noise implementation in transformer-based dynamical systems, providinga tunable mechanism to maintain safe-edge dynamics without architecturalmodifications.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-26
DOI
https://doi.org/10.5281/zenodo.19776965
Primary Topic
Low-power high-performance VLSI design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leaky Integration as Safe Edge Regulation: A Layer-9 Control Mechanism in Safe Attractor Architecture

Jun Sakai
Zenodo (CERN European Organization for Nuclear Research)
Low-power high-performance VLSI design
article

Leaky Integration as Safe Edge Regulation: A Layer-9 Control Mechanism in Safe Attractor Architecture

Jun Sakai
article en

Abstract

This technical report presents two paired-design experiments (L2 and L2b)investigating leaky integration as a structural noise mechanism within the SafeAttractor Architecture (SAA) framework. Previous experiments established thatamplitude-modulated noise (β(t) modulation) is structurally safe but producesno measurable improvement in safe-edge occupancy. We demonstrate that leakyintegration, parameterized by a mixing coefficient λ controlling the blend betweenthe current hidden state and the attention update, produces a qualitatively differentand strongly positive effect.In Test L2 (Npairs = 30, paired design), all five λ < 1.0 conditions showedsubstantial improvement in pedge (Δpedge > 0.35), substantial reduction in pchaos,and no MSE degradation relative to the static λ = 1.0 baseline. In Test L2b(Npairs = 30), a full λ sweep from 1.0 to 0.2 revealed three distinct operating regimes:a chaos-prone regime (λ = 0.8–1.0), a safe edge zone (λ = 0.5–0.7), and a freeze zone(λ = 0.2–0.4). The optimal operating point is λ = 0.5, maximizing pedge = 0.640,while the balanced operating point considering freeze risk is λ = 0.6 (pedge = 0.614,pchaos = 0.110, freeze rate = 0.20).These findings suggest that leaky integration is a viable candidate for Layer-9structural noise implementation in transformer-based dynamical systems, providinga tunable mechanism to maintain safe-edge dynamics without architecturalmodifications.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 7%
Low-power high-performance VLSI design
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.