dsse-1m-proof / README.md
Crovia Bot
docs: define DSSE 1M as primary Crovia evidence
0c38493
metadata
license: apache-2.0
tags:
  - crovia
  - trust
  - provenance
  - auditability
  - dsse
  - evidence
pretty_name: DSSE 1M  Verifiable Trust Drift Proof

DSSE 1M — Verifiable Trust Drift Proof

This repository is the primary public evidence of the Crovia project.

It demonstrates that a measurable trust drift signal can be observed:

  • between two temporal states of a dataset
  • with no declared dataset change
  • using a reproducible, auditable pipeline
  • on commodity hardware
  • at the scale of 1 million records

No interpretation is provided.
No attribution is claimed.
This repository contains evidence only.


What this is

This dataset is a cryptographically anchored evidence package produced by Crovia.

It shows that:

  • trust-related structural properties of a dataset
  • can drift over time
  • even when no official change is declared
  • and that such drift can be measured, reproduced, and verified

The output is a signal — not a conclusion.


What this is NOT

  • ❌ Not a benchmark
  • ❌ Not a model evaluation
  • ❌ Not a claim against any dataset or organization
  • ❌ Not a legal or ethical judgment

Crovia does not interpret the signal.
Crovia only makes it verifiable.


Contents (root)

  • START_HERE.md
    → minimal orientation for verification

  • EVIDENCE.ndjson
    → full machine-readable evidence trace

  • HASHES.txt
    → cryptographic anchors

  • SNAPSHOT_LATEST.json
    → latest observed state (with evidence attached)

  • synth_1M_drift.ndjson
    → aggregated drift signal (1M scale)


Reproducibility

All artifacts in this repository are:

  • deterministic
  • hash-linked
  • reproducible from inputs
  • inspectable without proprietary tooling

If the signal is wrong, it can be disproven.
That is the point.


Position in the Crovia ecosystem

This repository is the reference proof.

Other Crovia datasets (LAION examples, CEP capsules, conceptual datasets) exist to illustrate, explore, or contextualize the system —
not to replace this evidence.


One rule

If a system affects trust,
there must be evidence.
And that evidence must be auditable.