Speedrun Deterministic Embedding D=768 (A100 Colab + Circom R1CS + Base CREATE2)
Bit-exact, batch-invariant D = 768 L2 embedding normalization and orthogonal tangent Jacobian engine (K = 48 chunks of C = 16 coordinates at Q = 2^24 fixed-point scaling), engineered for NVIDIA A100-SXM4 GPUs on Google Colab with OpenTelemetry Landauer bit-erasure energy spans and Base Mainnet (chainId = 8453) wQFLOP CREATE2 settlement.
Repository Artifacts
jax_kernels/deterministic_l2_r1cs_d768.py: Multi-chunk (48 x 16 = 768) 128-bit limb-exact JAX@jax.custom_vjpkernel for A100 GPUs.circuits/deterministic_l2_embedding_d768.circom: Circom 2.1.6 R1CS constraint system withK = 48chunked accumulators and singleton witness determinism.daemons/yennefer_a100_colab_otel_daemon.py: Yennefer daemon reading native A100 hardware energy counters (nvmlDeviceGetTotalEnergyConsumption), emitting OpenTelemetry Landauer spans (genesis.yennefer.landauer.a100), signing EIP-712EnergyTelemetry, and settlingwQFLOPon Base.script/DeployWQFLOPAttestorD768.s.sol: Foundry deterministicCREATE2deployment script for Base Mainnet (Chain ID 8453).
Code Ownership
Maintained by Principal Investigator Igor Holt (igor@kovachenterprises.com).
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