# C-DAG

One-line description: replayable causal audit traces for high-risk financial AI decisions.

Project: C-DAG
Repo: https://github.com/electricwolfemarshmallowhypertext/c-dag
Site: https://cdag.quest
Benchmark: https://cdag.quest/benchmark
DOI: https://doi.org/10.5281/zenodo.19779499

License boundary:
- Software: source-available under BUSL-1.1.
- Paper: CC BY 4.0.
- Commercial production use requires written permission from the licensor.

Safe claims:
- workflow evidence benchmark
- public dataset validation
- replayable evidence
- audit-ready artifacts
- 100% success on sampled validation audit records across reported validation runs
- audit-chain integrity verified across reported validation runs

Boundary:
- public reference validation only
- public reference validation only
- not a legal or regulatory certification
- not a lending decision system
- no guaranteed financial outcome
- no customer-data evaluation