Architecting Against Drift: The Technical Architecture of a Distributed Reproducibility Validation System

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Autor principal: Ceri, John
Formato: Recurso digital
Lenguaje:inglés
Publicado: Zenodo 2026
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author Ceri, John
author_facet Ceri, John
contents <p>Computational research depends on the ability to independently reproduce results, yet modern workflows are fragile: they drift across environments, depend on undocumented assumptions, and often fail silently. ValiChord provides a decentralised, agent‑centric infrastructure for independent reproducibility validation. Validators re‑execute workflows in diverse environments, generate cryptographically signed attestations, and contribute structured detector evidence that captures environment drift, dependency skew, execution variability, and workflow fragility. A commit–reveal protocol preserves validator independence, while Harmony Records synthesise divergent outcomes without collapsing them into binary judgements. ValiChord validates computation, not data provenance, and is explicit about this boundary: it strengthens the computational layer of scientific integrity without claiming to detect data fabrication. The system is built on Holochain, not blockchain, ensuring tamper‑evident provenance without global ledgers, tokens, or consensus mechanisms.</p> <p> Reference implementation and detector suite: https://github.com/topeuph-ai/ValiChord</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19021711
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language eng
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Architecting Against Drift: The Technical Architecture of a Distributed Reproducibility Validation System
Ceri, John
reproducibility
research integrity
open science
governance
metascience
validation
peer-to-peer infrastructure
Distributed systems
reproducible
computational‑reproducibility
workflow‑validation
independent‑validation
open‑science
reproducible‑science
scientific‑accountability
decentralised‑infrastructure
GPDR
Rust
independent‑reproduction
<p>Computational research depends on the ability to independently reproduce results, yet modern workflows are fragile: they drift across environments, depend on undocumented assumptions, and often fail silently. ValiChord provides a decentralised, agent‑centric infrastructure for independent reproducibility validation. Validators re‑execute workflows in diverse environments, generate cryptographically signed attestations, and contribute structured detector evidence that captures environment drift, dependency skew, execution variability, and workflow fragility. A commit–reveal protocol preserves validator independence, while Harmony Records synthesise divergent outcomes without collapsing them into binary judgements. ValiChord validates computation, not data provenance, and is explicit about this boundary: it strengthens the computational layer of scientific integrity without claiming to detect data fabrication. The system is built on Holochain, not blockchain, ensuring tamper‑evident provenance without global ledgers, tokens, or consensus mechanisms.</p> <p> Reference implementation and detector suite: https://github.com/topeuph-ai/ValiChord</p>
title Architecting Against Drift: The Technical Architecture of a Distributed Reproducibility Validation System
topic reproducibility
research integrity
open science
governance
metascience
validation
peer-to-peer infrastructure
Distributed systems
reproducible
computational‑reproducibility
workflow‑validation
independent‑validation
open‑science
reproducible‑science
scientific‑accountability
decentralised‑infrastructure
GPDR
Rust
independent‑reproduction
url https://doi.org/10.5281/zenodo.19021711