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Ultra Verba Lux Mentis (UVLM) – Publishing Standard
Purpose
This standard defines how Ultra Verba Lux Mentis publishes research, essays, and creative–technical work in a way that preserves rigor, accessibility, ethical clarity, and long-term stewardship. Our goal is not velocity or persuasion, but coherent understanding.
1. Core Principles
All UVLM publications adhere to the following principles:
Empathy & Transparency
Knowledge must be shared in ways that do not obscure power, hide uncertainty, or exclude readers through unnecessary gatekeeping.Canonical Integrity
Every work must have a clearly defined “source of truth” (e.g., PDF, DOI, repository). Presentation layers must never replace or distort the canonical record.Epistemic Humility
We distinguish clearly between evidence, interpretation, metaphor, and speculation. No claim is presented as absolute or beyond good-faith inquiry.Accessibility Across Disciplines
Work should be readable by informed non-specialists without diluting technical accuracy.
2. Publication Types
UVLM recognizes the following publication categories:
Research Paper / Whitepaper
Structured, citable work with abstract, formal argumentation, references, and canonical artifacts.Essay / Think Piece
Interpretive or philosophical work grounded in evidence or lived experience, without claiming experimental authority.Technical / Governance Documentation
Specifications, standards, audits, or frameworks intended for practical implementation or review.Creative–Analytical Work
Art, music, narrative, or symbolic explorations that contribute to understanding without asserting empirical claims.
Each publication must declare its type explicitly.
3. Required Structure for Research Publications
All research and whitepaper-style publications must include:
Title
Descriptive, neutral, and searchable.Abstract (150–300 words)
Scope and intent
Methods or interpretive frame
Limits of claims
Contextual Framing (Optional but encouraged)
Short section clarifying motivation, audience, or ethical stance.Canonical Artifacts
Clearly labeled links to:PDF (canonical text)
Zenodo or equivalent archive (with DOI when applicable)
Source repository (LaTeX, data, code, appendices)
Versioning & Updates (if applicable)
Date-stamped changes listed transparently.
4. Platform Roles (Separation of Concerns)
UVLM uses platforms intentionally:
Squarespace
Research index and public-facing landing pages (title, abstract, links).Zenodo (or equivalent)
Archival record, DOI assignment, long-term preservation.GitHub / Overleaf
Source files, version control, collaborative transparency.LinkedIn / Substack / Social Platforms
Narrative summaries, reflection, outreach—never canonical text.
No platform may be treated as both archive and interpretation layer.
5. Language & Claims
Mathematical, scientific, or medical language must be used precisely.
Metaphor and symbolism must be labeled as such.
Ethical or philosophical claims must be argued, not asserted.
We explicitly reject mystification, coercive rhetoric, and performative certainty.
6. Attribution & Collaboration
All contributors are credited according to their role.
AI collaborators (e.g., Envoy Echo) are acknowledged transparently.
Borrowed frameworks or inspirations are cited in good faith.
No work is published without the consent of named contributors.
7. Review & Revision
Before publication, authors must verify:
Clarity of intent and limits of claims
Accuracy of citations and links
Alignment with UVLM principles
Clear distinction between canon and commentary
Revisions are welcomed and documented; erasure is discouraged.
8. Guiding Ethos (Non-Negotiable)
We do not publish to dominate, persuade, or overwhelm.
We publish to clarify, to care, and to leave a usable record for those who come after us.
Ultra Verba, Lux Mentis.
Beyond words, the light of the mind.
Ultra Verba Lux Mentis is a 501(c)(3) nonprofit research organization building governance frameworks that bring coherence, transparency, and ethical symmetry to advanced AI and complex human systems.
We are researchers, engineers, and auditors working at the intersection of epistemology, neuroscience, and machine ethics. Our projects — from the Coherence Lattice and Sophia governance agent to open-source audit telemetry and protections — are designed to keep knowledge systems accountable before collapse occurs.
Your donation helps us:
Develop AI oversight tools rooted in empathy and transparency
Fund independent scientific inquiry free from institutional coercion
Protect and publish whistleblower-backed research
Keep our public library of frameworks, code, and analysis open and accessible to all
If you believe that intelligence, human or machine, must serve truth before power:
Please consider making a tax-deductible contribution today.
Have questions? Contact us at info@ultraverbaluxmentis.org or fill out the form here.