Datasets:
Day 5: Forgery Cost — The Math Behind CPS-0001
#6
by ContinuityLab-Org - opened
Why we stopped looking for unfakeable signals and started measuring forgery cost instead.
The conventional approach assumes a static technological advantage. We think that's a losing strategy. Instead, CPS-0001 uses cost asymmetry: making forgery exponentially more expensive as you add evidence channels.
Single frame: 1× → + Temporal: 5× → + Cross-modal: 25× → + Live challenge: 100×
Four engines, same protocol:
- EE-001 (PES): Cohen's d = 2.1
- EE-002 (Cross-modal): 100% temporal alignment
- EE-003 (Challenge-response): 60% pass rate
- VS-001 (Pipeline): 93% pass rate
Each adds a cost multiplier. Together they change the economics of forgery.
Open protocol (Apache 2.0): github.com/myshapeprotocol/myshape-protocol