stake
Run the network
Node operators stake $LATT to run audit agents and earn a share of audit fees. Dishonest attestations are slashed.
autonomous audit network · robinhood chain
LATTICE
The audit layer for on-chain code. Autonomous agents verify every deployed contract, white-hat researchers catch what machines miss, and lattice-based signatures keep each attestation post-quantum secure. $LATT settles it all.
Billions
lost to smart-contract exploits since 2020 — rug pulls, reentrancy, access-control bugs [15][16]
Point-in-time
legacy audits go stale the moment an upgrade ships; a clean report today says nothing about tomorrow [3]
Post-quantum
attestations signed with lattice-based cryptography, standardized by NIST [8][9]
01
AI audit agents
Continuous static analysis, formal verification, and ML-based vulnerability detection over every deployed contract — not a one-time snapshot.
Explore →
02
White-hat bounty
A permissionless bounty market where researchers are paid on-chain for findings that automation misses.
Explore →
03
Post-quantum signatures
Lattice-based attestations that stay valid even after the quantum shift.
Explore →
// 02 — the network
Three layers. One settlement.
Verification is a pipeline: machines cover breadth, humans cover depth, and cryptography makes the result tamper-evident and future-proof.
Layer 01 · AI audit agents
Continuous, automated analysis
Every newly deployed contract on Robinhood Chain is pulled into the audit pipeline the moment its bytecode lands. The agent stack combines three families of analysis, each with a decade of published research behind it:
- Static analysis — control- and data-flow frameworks such as Slither detect reentrancy, unchecked calls, and access-control gaps [4].
- Formal & symbolic methods — tools in the Securify and ZEUS lineage prove safety properties or find violations by symbolic execution [3][5][6].
- Learning-based detection — graph-neural and deep models, from Devign onward, generalize to vulnerability patterns that rule-based checkers miss [12][13][14].
The canonical failure mode these tools exist to catch — the 2016 DAO reentrancy — is documented in Making Smart Contracts Smarter, which first formalized the attack class [1].
Layer 02 · White-hat bounty
Humans for what machines miss
Automation covers breadth but not depth. MAIAN showed that automated scanners reliably find classes of broken contracts — greedy, prodigal, and suicidal — yet still miss context-dependent logic bugs that a domain expert catches [2].
- Permissionless submission — any researcher can submit a finding against any escrowed bounty.
- Staked review — findings are validated by staked reviewers, with slashing for dishonest votes.
- On-chain settlement — payouts release from escrow in $LATT the moment a finding is accepted.
Layer 03 · Post-quantum attestations
Proofs that survive the quantum shift
The name is literal. Lattice cryptography rests on hard lattice problems — Learning With Errors and its ring variants — first formalized by Regev [7] and Micciancio & Regev [11], and traced to the NTRU construction [10]. Today it is the backbone of the NIST post-quantum standards:
- CRYSTALS-Kyber (FIPS 203) for key encapsulation [8].
- CRYSTALS-Dilithium (FIPS 204) for signatures [9].
Lattice signs every audit attestation with this family of schemes, so a proof of safety issued today remains valid against a fault-tolerant quantum adversary tomorrow.
// 03 — the token
$LATT is the settlement layer.
$LATT is not a governance token in search of a use case. It is spent, staked, and paid out on every single verification — the token's demand scales with the network's usage.
spend
Pay for audits
Protocols settle audit requests in $LATT. A fraction of every scan is burned, creating a sink proportional to usage.
bounty
Reward researchers
White-hat findings are paid from escrowed bounty pools, denominated and released in $LATT.
Planned supply & allocation
Pre-launch design target — no token has been minted. Team and contributor allocations vest over 12–36 months to align incentives with long-term security, not short-term liquidity [16].
| Pool | Share | Notes |
|---|---|---|
| Node & staking incentives | 40% | Emitted over ~48 months |
| Ecosystem / audit fund | 25% | Grants for tooling and research |
| Team | 15% | 12-month cliff, 36-month linear vesting |
| White-hat bounty pool | 10% | Escrowed, paid on validated findings |
| Early contributors | 5% | 12-month cliff |
| Liquidity | 5% | Market making and listings |
No token is live. Nothing on this page is a sale or financial advice.
// whitepaper · v0.1
The audit layer for on-chain code.
A decentralized verification network for smart contracts on Robinhood Chain.
1 · Abstract
Lattice is a decentralized AI-audit network. Autonomous audit agents continuously verify deployed bytecode for vulnerabilities and rug-pull risk; a permissionless white-hat bounty layer rewards researchers who catch what machines miss; and lattice-based post-quantum signatures underpin every attestation. $LATT is the settlement layer — staked by node operators, spent by protocols, paid to bounty hunters.
2 · The problem
Unaudited code drains the chain daily — rug pulls, honeypots, reentrancy, access-control exploits [15]. Legacy auditing has three structural limits: it is point-in-time (stale after the next upgrade), slow and expensive (weeks and tens of thousands of dollars, pricing out small protocols), and fragmented (bounties are siloed and underfunded). The gap grows faster than auditors can close it.
3 · The network
Three layers settle into one token. AI audit agents run static, symbolic, and learning-based analysis over every new contract [3][4][5][12]. The white-hat bounty layer pays humans for findings automation misses [2]. Post-quantum attestations sign results with lattice-based cryptography standardized by NIST [7][8][9][10][11].
4 · Token economics
$LATT is spent on audits (a fraction burned per scan), staked by node operators (slashed on dishonest attestation), and paid to researchers from escrowed bounty pools. See the Token page for the full allocation.
5 · Roadmap
Phase 0 — Testnet. Audit-agent MVP scanning testnet deployments; bounty protocol spec. Phase 1 — Mainnet audit beta. Continuous scanning of live contracts; first escrowed bounties. Phase 2 — Open node network. Permissionless staking and a fee market for audit requests. Phase 3 — Post-quantum rollout. Attestations move to lattice-based signatures end-to-end.
6 · Risks & disclaimer
The network's own contracts carry the same risk they audit and will be independently audited before mainnet. AI agents reduce, but do not eliminate, the chance of a missed vulnerability. Lattice is pre-launch: no token has been issued, and nothing here is an offer, a sale, or financial advice. Audit results are informational and do not guarantee safety. Always verify.