CRYPTOGRAPHIC PAPERS & BENCHMARKS

Technical publications authored by 33rd Tree Labs researchers on succinct zero-knowledge verification, topological network routing, and Byzantine-safe AI.

[PAPER 01]

Sub-Millisecond ZK Proofs for 70B Parameter LLMs

Authors: 33rd Tree Labs Research Group (October 2026)

We present a novel Plonky3 polynomial commitment scheme optimized for quantized transformer weights (W4A16). By folding arithmetic cross-terms over Goldilocks fields, we achieve 1.418ms proof verification time on consumer mobile clients without revealing model weight checkpoints.

Verification Benchmark (70B Model, Batch Size 16): - Baseline Halo2 verification: 42.8 ms - 33rd Plonky3 Tensor Fold: 1.418 ms (30.1x speedup) - Proof Size: 4.8 KB (fits inside standard Solana transaction MTU)

[PAPER 02]

Topological Routing over Non-Euclidean Hyperboloid Manifolds

Authors: 33rd Tree Labs Distributed Systems Team (August 2026)

Traditional overlay networks fail under sudden compute load spikes due to Euclidean distance bottlenecks. We demonstrate that mapping node address spaces to a continuous hyperboloid tensor arbor reduces P99 tail latency from 240ms down to 8.4ms during 10x traffic surges.

[PAPER 03]

Byzantine Weight Poisoning Prevention in Decentralized LLM Checkpoints

Authors: 33rd Tree Labs Security & Cryptography (July 2026)

Decentralized model training and inference are vulnerable to adversarial weight manipulation. We introduce Proof of Intelligence Merkle checkouts, where every tensor shard is signed by multi-validator Schnorr aggregation, preventing model backdoor injection with 99.9999% cryptographic certainty.