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docs: define DSSE 1M as primary Crovia evidence

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- # DSSE — 1M Record Auditability Proof
 
 
 
 
 
 
 
 
 
 
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- This dataset contains a minimal, verifiable evidence pack demonstrating:
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- - Streaming analysis of 1,000,000 structured records
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- - Bounded-memory snapshot generation (DSSE)
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- - Evidence-driven trust change expressed as `trust_drift.v1`
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- - Cryptographic hashes anchoring all artifacts
 
 
 
 
 
 
 
 
 
 
 
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  ## What this is
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- This is **not** a benchmark.
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- This is **not** a model.
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- This is an **audit artifact**.
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- It shows that large-scale training inputs can be:
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- - processed in streaming mode
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- - summarized into stable snapshots
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- - compared across periods
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- - and evaluated with signed trust drift
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ## What is included
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- - `DSSE_1M_HASHES.txt` SHA256 anchors for all artifacts
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- - `synth_1M_drift.ndjson` signed trust drift record
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- ## What is intentionally not included
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- - Raw datasets
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- - Proprietary processing logic
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- - Model internals
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- This proof is meant for independent inspection and discussion.
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- No claims are made.
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- Only artifacts are provided.
 
 
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - crovia
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+ - trust
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+ - provenance
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+ - auditability
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+ - dsse
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+ - evidence
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+ pretty_name: "DSSE 1M — Verifiable Trust Drift Proof"
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+ ---
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+ # DSSE 1M Verifiable Trust Drift Proof
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+ This repository is the **primary public evidence** of the Crovia project.
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+
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+ It demonstrates that a **measurable trust drift signal** can be observed:
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+
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+ - between two temporal states of a dataset
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+ - with **no declared dataset change**
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+ - using a reproducible, auditable pipeline
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+ - on commodity hardware
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+ - at the scale of **1 million records**
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+
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+ No interpretation is provided.
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+ No attribution is claimed.
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+ This repository contains **evidence only**.
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+
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+ ---
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  ## What this is
 
 
 
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+ This dataset is a **cryptographically anchored evidence package** produced by Crovia.
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+
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+ It shows that:
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+
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+ - trust-related structural properties of a dataset
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+ - can drift over time
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+ - even when no official change is declared
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+ - and that such drift can be **measured, reproduced, and verified**
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+
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+ The output is a signal — not a conclusion.
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+
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+ ---
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+
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+ ## What this is NOT
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+
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+ - ❌ Not a benchmark
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+ - ❌ Not a model evaluation
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+ - ❌ Not a claim against any dataset or organization
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+ - ❌ Not a legal or ethical judgment
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+
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+ Crovia does **not** interpret the signal.
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+ Crovia only makes it verifiable.
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+
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+ ---
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+
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+ ## Contents (root)
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+
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+ - `START_HERE.md`
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+ → minimal orientation for verification
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+
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+ - `EVIDENCE.ndjson`
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+ → full machine-readable evidence trace
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+
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+ - `HASHES.txt`
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+ → cryptographic anchors
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+
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+ - `SNAPSHOT_LATEST.json`
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+ → latest observed state (with evidence attached)
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+
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+ - `synth_1M_drift.ndjson`
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+ → aggregated drift signal (1M scale)
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+
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+ ---
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+
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+ ## Reproducibility
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+
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+ All artifacts in this repository are:
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+
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+ - deterministic
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+ - hash-linked
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+ - reproducible from inputs
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+ - inspectable without proprietary tooling
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+
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+ If the signal is wrong, it can be disproven.
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+ That is the point.
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+
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+ ---
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+
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+ ## Position in the Crovia ecosystem
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+
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+ This repository is the **reference proof**.
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+ Other Crovia datasets (LAION examples, CEP capsules, conceptual datasets)
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+ exist to illustrate, explore, or contextualize the system —
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+ **not** to replace this evidence.
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+ ---
 
 
 
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+ ## One rule
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+ > If a system affects trust,
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+ > there must be evidence.
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+ > And that evidence must be auditable.