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902aeb1a2d7cde28a442f192cf7e5e919f5ae016ebf6e5fac83c6a2e3f7d69a0 data/snapshots/synthetic/snapshot_synth_1M_base.json
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9d63024422d9de7a8158bd5049bc9562b576f52776ec2a9a4494b6c525a8f066 data/snapshots/synthetic/snapshot_synth_1M_plus_evidence.json
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53a871a1cbf7bd16d71a099805df645340239c625a74b155161e329560cda178 data/drift/synthetic/synth_1M_drift.ndjson
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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 verificationEVIDENCE.ndjson
→ full machine-readable evidence traceHASHES.txt
→ cryptographic anchorsSNAPSHOT_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.
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