Engram Corpus v1.0 — Official Release

Today marks a milestone we’ve been working toward for a long time: the publication of Engram Corpus v1.0, now permanently archived on Zenodo.

🔗 DOI: https://doi.org/10.5281/zenodo.18482560 (Link)

This release brings together the complete set of foundational documents that define Engram Provenance — a substrate‑rooted framework for identity, continuity, and behavioral provenance in AI systems. The corpus formalizes how we track and reason about computational lineage across hardware, runtimes, and model states, and it establishes the primitives that future work will build upon.


What’s inside Engram Corpus v1.0

The release includes the full suite of v1.0 artifacts:

1. Engram Provenance (Conceptual Note)

Introduces substrate‑rooted identity, the Engram Signature, continuity invariants, and the conceptual architecture of provenance and lineage.

2. Engram Primitives Specification

The formal mathematical definitions: structural mapping, signature formation, continuity thresholds, and the provenance graph.

3. Engram Glossary

The canonical vocabulary for the field, ensuring terminological stability across all v1.x documents.

4. Engram Notation Standard

The symbols, operators, and conventions used throughout the corpus, designed for clarity and reproducibility.

5. Engram Diagram Set

Standalone vector diagrams, including the reference architecture and provenance graphs, extracted and consolidated for citation and reuse.

6. Engram Corpus Index

The structural map of the entire release — the authoritative guide to the corpus layout, versioning, and artifact relationships.

7. Archival ZIP (Canonical Directory Structure)

A complete, versioned ZIP containing the entire corpus in its intended directory layout, suitable for long‑term preservation and reproducible builds.


Why this matters

Engram Corpus v1.0 is the first stable, citable foundation for a field that has been missing a substrate‑aware approach to AI identity and behavioral provenance. It provides:

  • a unified conceptual framework
  • formal primitives
  • governance‑ready structures
  • a consistent notation
  • a reproducible archival format

This release is the substrate on which future versions — v1.1, v2.0, and beyond — will build.


Looking ahead

The next steps will focus on:

  • expanding the governance layer
  • refining diagrams and examples
  • adding implementation guidance
  • extending the corpus with new primitives

But today, v1.0 stands on its own: complete, coherent, and archived.


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