GOVERNANCE METHOD
Describes a proposed downstream governance pattern for evaluating generated outputs.
Boundary: RESEARCH / ILLUSTRATIVE; no production enforcement claim.
Mnemosyne is a proposed Layer-0 deterministic governance protocol downstream of generative systems. It does not generate content; it describes ways to evaluate outputs against versioned rules and produce reviewable evidence records.
This page does not claim production enforcement.
Describes a proposed downstream governance pattern for evaluating generated outputs.
Boundary: RESEARCH / ILLUSTRATIVE; no production enforcement claim.
Describes intended deterministic rule execution and bounded decision states in documentation.
Boundary: PUBLICLY DEMONSTRATED documentation framing; not a live deployment claim.
Describes versioned policy artifacts and change tracking as a method.
Boundary: RESEARCH / ILLUSTRATIVE unless independently evidenced per deployment.
Describes a fail-closed evaluation model for accepted/rejected outcomes.
Boundary: PUBLICLY DEMONSTRATED examples are bounded demonstrations, not live telemetry.
Describes canonical serialization and hashing approaches for reviewable records.
Boundary: RESEARCH / ILLUSTRATIVE description; no guarantee of implementation scope.
Describes evidence-style output records that can be reviewed as documentation artifacts.
Boundary: PUBLICLY DEMONSTRATED record style; no production guarantee or compliance claim.
CURRENT PUBLISHED PROTOCOL SPECIFICATION
Version 3.0.0 · Date 2026-03-06 · Author Salman, Mert Kerem
A published protocol specification describing a proposed deterministic governance approach for generative-system outputs.
Verification steps: open the canonical record, confirm title/version/date/author, and inspect the listed WHITEPAPER.pdf.
Record and file publication are verified. Claims inside the paper are source-authored and are not independently validated by this website.
Last verified 2026-08-25.
EARLIER PUBLISHED APPLICATION PAPER
Version 2.0.0 · Date 2026-03-05 · Author Salman, Mert Kerem
An earlier published application paper focused on deterministic IP fidelity for gaming and ad-tech contexts.
Verification steps: open the canonical record, confirm title/version/date/author, and inspect the listed files.
Record and file publication are verified. Claims inside the paper are source-authored and are not independently validated by this website.
Last verified 2026-08-25.
DO NOT REPRESENT AS CURRENT IMPLEMENTATION.
Mert Kerem Salman — Founder, Mnemosyne Labs; author name as published on the linked Zenodo records.
LinkedIn profile for founder contact context · Email founder directly
identities and behavior are volatile references, not a contract.
robots.txt is crawl guidance, not security or a license. Crawling does not guarantee indexing/citation/training.
Public pages and linked records are the intended citation surface. Citation behavior depends on each external system.
Users may open the evidence links directly for manual verification of source records and listed files.
Crawling does not guarantee indexing/citation/training. Training decisions are controlled by external operators.
Research / illustrative content is descriptive and not a deployment contract.
Technical posture: User-agent: * Allow: / with sitemap.
HUMAN ACTION READY via evidence links and pilot/contact.
AGENT ACTION PROTOCOL NOT OFFERED.