Waveframe-Stamp/CITATION.cff at main · Waveframe-Labs/Waveframe-Stamp · GitHub

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cff-version: 1.2.0
title: "Waveframe-Stamp: A Deterministic Metadata Diagnostics and Remediation Engine"
message: >
  Waveframe-Stamp is a deterministic, schema-agnostic diagnostics engine for
  governed research artifacts. It validates structured artifact metadata
  against explicitly supplied schemas, normalizes all validation results into
  stable Canonical Diagnostic Objects (CDOs), and produces structured,
  machine-readable remediation outputs when automation ends.

  Stamp is explicitly policy-neutral and enforcement-free. It does not invent,
  infer, or mutate metadata without an explicit user command. Instead, it
  separates validation (fact emission), fix proposals (claims), and human
  judgment into distinct, auditable stages. This design enables reproducible
  governance workflows, deterministic CI enforcement, and downstream
  integration with policy engines without coupling validation logic to
  institutional authority.

  Stamp supports Markdown frontmatter and embedded code metadata, emits
  JSON-first CLI output suitable for automation and review tooling, and
  produces immutable execution trace artifacts for audit and provenance.
  It is designed as a stable, explainable “front door” to governed research
  systems and serves as an upstream dependency for enforcement layers such as
  CRI-CORE.

type: software
version: 0.1.0
Concept DOI: 10.5281/zenodo.18436622
Version DOI: 10.5281/zenodo.18436623
date-released: 2026-01-30

authors:
  - family-names: Wright
    given-names: Shawn C.
    email: swright@waveframelabs.org
    orcid: https://orcid.org/0009-0006-6043-9295

repository-code: https://github.com/Waveframe-Labs/Waveframe-Stamp
url: https://waveframelabs.org
license: Apache-2.0

keywords:
  - metadata validation
  - research governance
  - reproducibility
  - schema validation
  - diagnostics
  - provenance
  - scientific tooling
  - ai-assisted research

abstract: >
  Waveframe-Stamp is a deterministic metadata validation and diagnostics engine
  designed to support governed, reproducible research workflows. It validates
  artifact metadata against explicit schemas, emits stable and structured
  diagnostics describing factual schema violations, and generates conservative
  fix proposals and human-action remediation summaries without performing
  enforcement or policy interpretation.

  Unlike traditional linters or validators, Stamp enforces a strict separation
  between validation, remediation, and judgment. All validation results are
  normalized into Canonical Diagnostic Objects (CDOs) with stable semantic
  identifiers, making diagnostics diffable, loggable, and suitable for
  automation, UI presentation, and long-term audit. Fix proposals are generated
  deterministically as claims rather than actions, and automated mutation is
  limited to explicitly safe, mechanical transformations.

  Stamp is schema-agnostic, policy-neutral, and format-flexible, supporting
  Markdown frontmatter and embedded code metadata. It emits JSON-first CLI
  output and produces immutable execution trace artifacts for provenance and
  enforcement systems. Stamp is intended as a foundational “front door” to
  governed research ecosystems and serves as an upstream dependency for
  enforcement layers such as CRI-CORE.