Research receipt
Vlasov-6D Two-Stream Instability.
This receipt shows that the HolonomiX proof-chain model applies beyond the enterprise data plane. It is labeled as research and physics evidence, not as a commercial HX-SDP replacement or retrieval benchmark.
What this proves
A signed receipt chain for a physics workload.
The receipt proves artifact anchoring, parameter capture, manifest hashing, and post-quantum signature flow for this research run. It does not prove HX-SDP production retrieval performance, real-embedding behavior, or enterprise data-plane replacement.
benchmark
Vlasov-6D Two-Stream Instability
category
Research / physics evidence. Not an HX-SDP product benchmark.
hardware
NVIDIA H100 80GB HBM3
dimensions
6D phase-space (3 spatial + 3 velocity)
grid Resolution
64³ × 64³ (6.87 × 10¹⁰ DOF)
steps
1,000
wall Time
47m 12s
signature Algorithm
ML-DSA-65
signature Standard
FIPS 204 Category 3
manifest Hash
sha256:a3f8c1d9e4b7...2f6a (truncated for display)
public Key Id
hx-bench-sign-2026-04
Signature parameter policy
ML-DSA-65 is represented consistently as FIPS 204 Category 3.
Algorithm
ML-DSA-65
Standard
FIPS 204 Category 3
Hash
SHA-256 manifest
Every public receipt page uses the same parameter language. A dedicated parameter-policy block is also included in the Trust Center.
Bundle contents
Artifact hashes.
manifest.json
Operation manifest with parameters and configuration
sha256:a3f8c1d9...
result_state.bin
Final simulation state. Available only in the bounded research bundle.
sha256:7e2b4f01...
diagnostics.json
Energy conservation, entropy, and diagnostic metrics
sha256:d4c8a2e5...
timing.json
Per-step wall-clock and GPU timing
sha256:f1a9b3c7...
hardware_attestation.json
GPU identity, driver version, CUDA context
sha256:e5d2f8a1...
signature.sig
ML-DSA-65 detached signature over manifest
sha256:b9c4e7d2...
verify_receipt.py
Standalone verification script
sha256:c2f6a8b3...
Verification
Verify the receipt structure before requesting the full bundle.
python verify_receipt.py --check-hashes python verify_receipt.py --check-signature cat manifest.json | python -m json.tool
Full diagnostics and simulation artifacts are available through bounded research diligence.