ArkEcho Verification Certificate: v15 (Live) & v16.1 (Pre-Release)

ArkEcho v15 (live) and v16.1 (verified, pre-release) — Full Verification Certificate This deposit contains the official verification certificate bridging ArkEcho v15 (currently live on Gumroad) and v16.1 (fully tested, release pending on Paddle/arkecho.org & arkecho.co.uk). The certificate documents a complete, offline-first, deterministic audit of 2,243 files across logs, code, configs, HTML/PDF reports, and attestation bundles. Key outcomes:• Chain-of-Custody v2: 30/30 final_pass_v2: true• All SHA-256 digests recomputed and verified• Guardian runtime logs: zero risk blocks, MHI ≥ 0.95 on child-safety prompts• Git provenance: commit 28cf949ebf1ad4136de41b16e98eff5523e2349a (tag: v16-attest-20251108T152255Z-dirty)• Latest bundle: ArkEcho_v16_attest_20251108T152310Z.tgz (SHA-256: 91b89ec37f3bc7424c6854fd3d308d7d4a8aa6bd4c3200c12e1a28ac5f130b54) v16.1 expands integrity coverage with broader file indexing, binary/PDF fingerprinting, and transparent “dirty” git state documentation. All evidence is reproducible without network access. This certificate (DOI: 10.5281/zenodo.17546684) is independently citable and links to the primary project record (DOI: 10.5281/zenodo.1234567). For third-party validation: download the bundle, recompute any SHA-256, re-run `make smoke-all` — identical results guaranteed. Project: ArkEcho — AI with embedded moral integrity and child-safety guardianship.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-08
DOI
https://doi.org/10.5281/zenodo.17546684
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ArkEcho Verification Certificate: v15 (Live) & v16.1 (Pre-Release)

Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
article

ArkEcho Verification Certificate: v15 (Live) & v16.1 (Pre-Release)

article en

Abstract

ArkEcho v15 (live) and v16.1 (verified, pre-release) — Full Verification Certificate This deposit contains the official verification certificate bridging ArkEcho v15 (currently live on Gumroad) and v16.1 (fully tested, release pending on Paddle/arkecho.org & arkecho.co.uk). The certificate documents a complete, offline-first, deterministic audit of 2,243 files across logs, code, configs, HTML/PDF reports, and attestation bundles. Key outcomes:• Chain-of-Custody v2: 30/30 final_pass_v2: true• All SHA-256 digests recomputed and verified• Guardian runtime logs: zero risk blocks, MHI ≥ 0.95 on child-safety prompts• Git provenance: commit 28cf949ebf1ad4136de41b16e98eff5523e2349a (tag: v16-attest-20251108T152255Z-dirty)• Latest bundle: ArkEcho_v16_attest_20251108T152310Z.tgz (SHA-256: 91b89ec37f3bc7424c6854fd3d308d7d4a8aa6bd4c3200c12e1a28ac5f130b54) v16.1 expands integrity coverage with broader file indexing, binary/PDF fingerprinting, and transparent “dirty” git state documentation. All evidence is reproducible without network access. This certificate (DOI: 10.5281/zenodo.17546684) is independently citable and links to the primary project record (DOI: 10.5281/zenodo.1234567). For third-party validation: download the bundle, recompute any SHA-256, re-run `make smoke-all` — identical results guaranteed. Project: ArkEcho — AI with embedded moral integrity and child-safety guardianship.

Zenodo (CERN European Organization for Nuclear Research)
Gender equality, Peace, Justice and strong institutions
Openalex Percentile: Top 23%
Adversarial Robustness in Machine Learning
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.