# Proposal $$ X = (sn, ep, pk_x, pk_y, root, cm_x^{value}, cm_y^{value}, reward, cm_x^{value^{out}}, cm_y^{value^{out}}, C, \mu_y, y, \mu_{\rho}, \rho,\sigma_1, \sigma_2, headstart) $$ $$ W = (sk, nonce, value, ep, reward, value_{blind}, \tau, path, value_{blind}^{out}, \mu_y, \mu_{\rho}, \sigma1, \sigma2, headstart) $$ $$ \mathcal{L}= \{X:W\in \mathcal{R}\} $$ | Public Input | Description | |--------------------|------------------------------------------------------------| | sn[^1] | nullifier is hash of nonce nonce, and sk | | ep | epoch index | | $pk_x$ | coin public key pk affine x coordinate | | $pk_y$ | coin public key pk affine y coordinate | | root | root of coins commitments tree | |$cm_x^{value}$ | value commitment affine x coordinate | |$cm_y^{value}$ | value commitment affine y coordinate | | reward | lottery reward value $\in \mathbb{Z}$ of type u64 | |$cm_x^{value^{out}}$| value commitment affine x coordinate | |$cm_y^{value^{out}}$| value commitment affine y coordinate | | $C^{out}$ | coin commitment | | $\mu_y$ | random, deterministic PRF output | | $\mu_{\rho}$ | random, deterministic PRF output | | $\rho$ | on-chain entropy as hash of nonce, and $\mu_{\rho}$ | | $\sigma_1$ | target function approximation first term coefficient | | $\sigma_2$ | target function approximation second term coefficient | ----------------------------------------------------------------------------------- | Witnesses | Description | |---------------------|------------------------------------------------------------| | sk | coin secret key derived from previous coin sk | | nonce[^2] | random nonce derived from previous coin | | value | coin value $\in \mathbb{Z}$ or u64 | | ep | epoch index | | reward | lottery reward value $\in \mathbb{Z}$ of type u64 | | $value_{blind}$ | blinding scalar for value commitment | | $\tau$ | C position rooted by root | | path | path of C at position $\tau$ | |$value_{blind}^{out}$| blinding scalar for value commitment of newly minted coin | | $\mu_y$ | random, deterministic PRF output | | $\mu_{\rho}$ | random, deterministic PRF output | | $\sigma_1$ | target function approximation first term coefficient | | $\sigma_2$ | target function approximation second term coefficient | | headstart | competitive advantage added to target T | ----------------------------------------------------------------------------------- Table: if you read this after zerocash which crypsinous is based off, both papers calls nullifiers serial numbers. and serial number is nonce, `sn` in the table below can be called `nullifier` in our contract, similarly `nonce` can be called `input/output serial` using zcash sapling terminology which is used in our money contract (sapling contract). | Functions | Description | |--------------|------------------------------------------------------------| | $value^{out}$| value + reward | | $nonce^{out}$| $hash(sk||nonce)$ | | $sk^{out}$ | $hash(sk)$ | | $pk^{out}$ | commitment to $sk^{out}$ | | $C^{out}$ | $hash(pk_x^{out}||pk_y^{out}||value^{out}||ep|nonce^{out})$| | $cm^{value}$ | commitment to $value^{out}$ |