1.0 Abstract & Methodology

We present Epistemic, a decentralized cryptographic protocol for asserting human authorship in software provenance chains. In continuous integration boundaries, the threat of fully automated bot commits and generative AI injections is collapsing public codebase trust.

By collecting timing flight deltas directly during typing sequences, arithmetizing keypress rhythm variances into polynomial arguments, and compiling zero-knowledge proofs, developers prove human presence without compromising credentials, password characters, or privacy metrics.

2.0 Biometric Telemetry

Let Fn=tup,n−tdown,nF_n = t_{up, n} - t_{down, n} be the keypress hold timing interval, and Dn=tdown,n−tup,n−1D_n = t_{down, n} - t_{up, n-1} be the flight delay timing between consecutive keystrokes.

Automation systems display uniform intervals (Di=K±ϵD_i = K \pm \epsilon). In contrast, human interaction yields standard cognitive timing chaotic fluctuations. Epistemic arithmetizes timing sequence variances V(D)V(D) to establish human confidence thresholds:

MEASUREMENT MATRIXHUMAN CRITERIA
HOLD TIME DELTAFLIGHT_DELTA F(N) = T(UP) - T(DOWN)
INTERVAL DISTANCEFLIGHT_INTERVAL D(N) = T(DOWN) - T(UP, N-1)
ENTROPY COEFFICIENTPOSEIDON TIMING CONSTRAINTS SATISFIED

3.0 ZK-SNARK Circuits & Field Bounds

Proofs are arithmetized over the BN128 prime field curve using Groth16 parameters. Given timing values wi∈Fpw_i \in \mathbb{F}_p, the proving circuit evaluates timing sequence entropy constraints to output:

A * B - C = 0 // Constraint equation validation bounds

This mathematical attestation is archived directly onto the local database ledger, enabling stateless, instant verification by continuous delivery systems.