Crovia Core Engine (Open Core)

If AI is trained on your data, there should be a receipt.

Crovia is an offline-verifiable evidence engine for declared AI training data.

It does not accuse.
It does not infer intent.
It does not enforce compliance.

Crovia produces deterministic artifacts that anyone can verify independently.

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Install

pip install crovia

Requires Python 3.10+. No external dependencies for the core pipeline.

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Read this first (30 seconds)

If you read only one thing, read this:

Crovia turns a declaration into a closed, verifiable evidence capsule.
Nothing more. Nothing less.

No trust required.
No network required.
No hidden logic.

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What Crovia produces (CRC-1)

Crovia generates a CRC-1 Evidence Pack — a closed set of files that fully describe:

• what was declared
• what was produced
• how integrity can be verified

Each CRC-1 pack contains:

• receipts.ndjson — declared training receipts
• validate_report.md — deterministic validation result
• hashchain.txt — integrity hash-chain
• trust_bundle.json — normalized trust summary
• MANIFEST.json — authoritative artifact contract

All files are offline-verifiable.

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Try it (single command)

Generate CRC-1 Evidence Packs

# Full pipeline — receipts in, evidence pack out
crovia run --receipts examples/minimal_royalty_receipts.ndjson --period 2025-11 --budget 1000000 --out out_crc1

This creates a fully self-contained evidence capsule in out_crc1/.

Disclosure Scanner — check a model's disclosure gaps

# Scan a HuggingFace model for missing training data declarations
crovia oracle scan meta-llama/Llama-3-8B
crovia oracle scan mistralai/Mistral-7B-v0.1

Evidence Wedge — check a directory for evidence artifacts

crovia wedge scan              # scan current directory
crovia wedge scan --path ./my-project
crovia wedge status            # one-line status
crovia wedge explain           # what artifacts Crovia looks for

Other commands

crovia check   <receipts.ndjson>   # validate receipts (real)
crovia refine  <receipts.ndjson>   # fix share_sum / rank issues
crovia pay     <receipts.ndjson> --period YYYY-MM --budget N  # compute payouts
crovia bundle  --receipts X --payouts Y  # assemble trust bundle
crovia sign    <file>              # HMAC-sign any artifact
crovia trace   <file>              # generate / verify hashchain
crovia explain <file>              # inspect any Crovia JSON/NDJSON
crovia license status              # check tier (OPEN / PRO)
crovia bridge  preview <model>     # PRO capability preview
crovia mode    show                # show CLI config
crovia legend                      # full command reference

crovia scan (attribution spider) requires the FAISS corpus index — not yet in open core.
Run crovia scan <file> for details.

• No network
• No secrets
• Fully deterministic

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Inspect the artifacts

# Linux / macOS
ls out_crc1
cat out_crc1/MANIFEST.json

# Windows
dir out_crc1
type out_crc1\MANIFEST.json

MANIFEST.json defines exactly which files must exist.

Nothing implicit.
Nothing hidden.

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Verify evidence (offline, by anyone)

Verification requires only the files themselves.

Example:

crovia-verify out_crc1

Expected result:

[OK] All artifacts present
[OK] trust_bundle JSON valid
[OK] Hashchain verified

[OK] CRC-1 VERIFIED

If verification fails, the evidence is invalid.

No trust assumptions.
No authority required.

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Design principles

• Offline-first
• Deterministic
• No attribution claims
• No enforcement logic
• Evidence > opinions

Crovia produces facts, not judgments.

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Where to see real evidence

Crovia Open Core does not ship conclusions.

All public, inspectable evidence generated with this engine lives here:

https://github.com/croviatrust/crovia-evidence-lab

That repository contains:

• reproducible CRC-1 capsules
• offline-verifiable artifacts
• neutral semantic observations (DSSE)
• presence / absence observations (Spider)

If you want to see results, go there.
If you want to reproduce them, stay here.

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Source

https://github.com/croviatrust/crovia-core-engine

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License

Apache-2.0
CroviaTrust