ARIN22 · Layer 0 · Deterministic Kernel

A deterministic computational core for systemic risk.

A class-routed deterministic acceleration layer — deterministic where it provably can be, Monte-Carlo-challenged where it must be, every verdict hash-logged. ARIN22 is a US-registered name for the deterministic risk-core; the construction is a protected trade secret. Embeddable beside Aladdin, Bloomberg, Murex, and MSCI — not a replacement for full-stack risk platforms.

US-registered name · ~99 µs CPU split (D=4) · < 0.05% q99.9 vs MC · 8.8 B paths / backend · CRN 99.9 PASS.

S2 · Signature proof

The evidence is the page hero.

Three quiet proofs. A worst-tail CPU↔GPU parity scatter that lies exactly on the y = x line. A 24-million-tick latency histogram with the p99 and p999 markers labelled. And a determinism check across a thousand fresh processes that produces a single hash.

CRN 99.9 GPU↔CPU parity scatterOne hundred worst-tail cases, 100 million paths per backend. All points lie on the y = x reference; R² 1.0000, RMSE 0.0000, Δmax 0.000 bp.0%0%1%1%2%2%3%3%4%4%5%5%CPU result · CVaR 99.9 deviationGPU result · CVaR 99.9 deviation

CRN 99.9 GPU↔CPU parity

R² 1.0000 · RMSE 0.0000

100 worst-tail cases · 100 M paths per backend · Δmax 0.000 bp · PASS. Regression y = 1.0000·x. Every dot lies on the reference line.

Underlying table · 6-of-100 sample
CaseCPU CVaR 99.9GPU CVaR 99.9Δ bp
WT-0010.010%0.010%0.000
WT-0200.018%0.018%0.000
WT-0400.025%0.025%0.000
WT-0600.031%0.031%0.000
WT-0800.040%0.040%0.000
WT-1000.050%0.050%0.000
Tick-replay latency histogramTwenty-four million tick replays, 8×H100, NVIDIA Innovation Lab, May 2026. Distribution centred near 0.4 ms; p99 0.625 ms, p999 0.710 ms.0.0 ms0.3 ms0.6 ms0.9 ms1.2 msp99 · 0.625 msp999 · 0.710 msTick-to-decision latencyDensity (N = 24,000,000)

Tick-replay latency

p99 0.625 · p999 0.710 ms

N = 24,000,000 · Run 11/12 · 8×H100 · NVIDIA Innovation Lab · May 2026. Distribution centred near 0.4 ms with a tightly bounded right tail.

Underlying percentiles
QuantileLatencySample
p500.388 ms24,000,000
p900.524 ms24,000,000
p990.625 ms24,000,000
p9990.710 ms24,000,000
1 hash
Unique digest across the population
A single canonical hash emerges from a thousand independent runs — bit-exact reproducibility, end-to-end.
1,000 repeats
Fresh processes, cold caches
Every run is a fresh OS process; nothing carries state. The kernel is a function, not a session.
0.0% drift
Output divergence across repeats
Zero observed drift — no floating-point reordering, no nondeterministic reductions, no sampler-dependent paths.

Deterministic where it publishes. Monte-Carlo-challenged where it must be.

PASS lane · Challenger lane · fail-closed.

S3 · The challenge

Why a deterministic core matters.

Pure Monte Carlo degrades in wall-clock time as scenario complexity grows — more factors, deeper cascades, heavier tails demand exponentially more paths. For desks, risk committees, and agent loops that need near-real-time risk, that latency ceiling is the bottleneck. ARIN22 replaces brute-force path enumeration with a deterministic computation across contagion and covariance structure, holding wall-clock cost near-constant as complexity grows. The construction is a protected trade secret; what follows is capability, performance envelope, and integration surface only.

S4 · CPU posture

Kernel correctness is CPU-bound. GPU is for scale.

The kernel validates identically on a commodity ARM CPU and an 8×H100 cluster. Every result is stamped with a hardware fingerprint and a run SHA for cross-environment replay. Precise numerics — µs, speedup×, q999%, fingerprint, run SHA — are released to bank model-risk teams under NDA.

~99 µs
Single kernel call (D = 4)
Measured on a commodity ARM CPU. Independent of GPU availability.
Orders of magnitude
vs matched-accuracy MC equivalent
Precise speedup× released under NDA. The CPU envelope sits at the near-100 µs single-kernel call — not a sub-microsecond claim.
< 0.05%
q99.9 deviation vs MC gold-standard
CRN-anchored against a 10 M Monte-Carlo challenger on the worst-tail subset.
No lock-in
Identical answer CPU ↔ GPU
Throughput differs; the answer does not. The kernel does not depend on a specific accelerator.

S5 · Three core capabilities

What the kernel does, in three lines.

Constant-cost compute.

Wall-clock cost shows weak dependence on the equivalent MC path count. Verified across Enterprise Wave v2 — 8,800 cases, 8.8 B paths per backend, zero failures.

Adaptive tail controller.

Class-routing holds target accuracy under jumps, regime-shifts, and vol-clustering. Deterministic where it provably publishes; CRN-anchored at 99.9; 10 M MC challenger on hard regimes; no silent degradation.

Cross-asset contagion.

Hidden-channel detection across the covariance and contagion structure. Every verdict is hash-chained; replay is bit-exact under a recorded hardware fingerprint.

S6 · Mode catalogue

One kernel, many class-routed modes.

Six layers, A through F. Each layer publishes enum-named surfaces a reviewer can audit; the construction sitting beneath them — the splitting operator, the generator decomposition — remains NDA-bound. The published list is the IP boundary.

A · Substrate
Class-routed compute lanes.
Three lanes — never collapsed. Correctness anchors on a commodity ARM CPU; throughput scales to an 8×H100 cluster; multi-tenant traffic is fronted by a gateway lane. The answer is identical across lanes; only throughput differs.
LANE_CPU_COMMODITY_ARMLANE_GPU_8xH100LANE_GATEWAY_P95_400MS
B · Math method
Deterministic where it provably publishes, MC-challenged where it must be.
The deterministic construction is a protected trade secret. What is auditable on the public surface: the CRN-anchored 99.9 parity against a 10 M Monte-Carlo challenger; identical answers across PRNG, Sobol, and LHS samplers; sampler-independence as a published property.
SPLITTING_OPERATORGENERATOR_DECOMPOSITIONCRN_ANCHOR_99_9MC_CHALLENGER_10MSAMPLER_INDEPENDENCE_PRNG_SOBOL_LHS
C · Routing & governor
A verdict is either deterministic, MC-challenged, or fail-closed — never silent.
Each request is class-routed at evaluation time. Routing is hash-logged with the verdict so an external reviewer can replay the decision path. Negative-control scenarios deliberately fail-closed; there is no silent degradation under regime stress.
CLASS_ROUTING_DETERMINISTICCLASS_ROUTING_MC_CHALLENGERFAIL_CLOSED_NEGATIVE_CONTROLHASH_LOGGED_VERDICT
D · Surface
Workload-shaped, not formula-shaped.
What ships to integrators is a finite set of workload surfaces with published envelopes: intraday tick replay, the pre-trade ALLOW / REVIEW / BLOCK gate, deep-tail CVaR at the 99.9 quantile, and the canonical Enterprise Wave v2 validation pack.
TICK_REPLAY_P99_INTRADAYPRE_TRADE_GATE_ALLOW_REVIEW_BLOCKCVAR_99_9_DEEP_TAILENTERPRISE_WAVE_V2
E · Audit & lineage
Every result is replayable from a hardware fingerprint and a run SHA.
Hash-chained verdicts, hardware fingerprint, and run SHA accompany every public result. Lineage from the V1 aggregate (1.06 T paths) to the v2 canonical pack is preserved in the Layer-1 data room.
HARDWARE_FINGERPRINTRUN_SHA_REPLAYLINEAGE_V1_TO_V2
F · Lifecycle
Closed phases, armed surfaces, suppressed promotions — stated, not implied.
Phase 5 and Run 11/12 are closed. The Shadow Ledger is armed but does not yet meet the 250-observation floor for a realised regulatory backtest pass. EVT 99.9 long-horizon is deliberately suppressed from promotion until evidence catches up.
PHASE_5_CLOSEDRUN_11_12_AUDIT_CLOSEDSHADOW_LEDGER_ARMEDWATCH_SUPPRESSED_EVT_99_9_LONG_HORIZON

Institutional reviewers need a written IP boundary — what is auditable publicly (input → output → hash → lineage) versus what is only auditable under NDA (the how of construction). This catalogue is that boundary.

S7 · Performance envelope

Workload, envelope, scale.

The canonical envelope, end-to-end. Numbers are reproducible from the run SHA and hardware fingerprint released under NDA; the public surface publishes the envelope itself.

WorkloadEnvelopeScale · lane
Intraday tick replay p99 0.625 ms · p999 0.710 ms N = 24,000,000 · 8×H100
Pre-trade mixed gate p99 1.064 ms N = 24,000,000 · ALLOW 21.32 M / REVIEW 2.64 M / BLOCK 38.5 K
Enterprise Wave v2 canonical 0 failures 8,800 cases · 8.8 B paths / backend
CRN 99.9 parity PASS · Δmax 0.000 bp 100 worst-tail cases · 100 M paths / backend
10 M MC challenger CVaR 99.9 p95 0.015% · max 0.035% 50 cases × 200 reference runs · 2.0 B paths
Determinism 1 hash · 0.0% drift 1,000 fresh processes
CPU split kernel ~99 µs · q99.9 dev < 0.05% D = 4 · commodity ARM

All numbers are public-tier. Precise µs, speedup×, full q999 distribution, hardware fingerprint, and run SHA are released to bank model-risk teams under NDA.

S8 · Validation evidence

Enterprise Wave v2 — the canonical pack.

MC-challenger-anchored, class-routed, no silent degradation. V1 aggregate (the 1.06 T-path headline) is superseded as a headline number; it is preserved as lineage inside the Layer-1 data room.

Grid + CPU mirror
8,800 / 8.8 B · GPU grid + commodity-ARM CPU mirror · bit-exact
CRN 99.9 parity
PASS · 100 worst-tail cases · 100 M paths / backend
10 M MC challenger
CVaR 99.9 · max 0.035% · p95 0.015%
Tick replay
p99 0.625 / p999 0.710 ms · N = 24 M
Pre-trade gate
p99 1.064 ms · ALLOW 21.32 M / REVIEW 2.64 M / BLOCK 38.5 K
Determinism
1 hash · 1,000 fresh-process repeats · 0.0% drift
Historical replay
20 / 0 lookahead · out-of-sample, no leakage
Lineage
V1 aggregate (1.06 T paths) superseded as headline; preserved in Layer 1

Phase 5 closed · Run 11/12 audit closed · negative controls fail-closed · sampler-independent across PRNG / Sobol / LHS.

S9 · STAC-inspired wave

GPU lane — MC throughput on 8×H100. Self-run, not STAC-audited.

Built to STAC archetypes, self-run. The four lanes below are the GPU-throughput envelope; independent STAC benchmarking is the deliberate next step.

A2
Options Greeks
14.875 s
M3
Tick analytics
p99 0.501 ms
T1
Pre-trade
p99 1.110 ms
FC
Fail-closed stress gate
p99 0.864 ms

Two worlds, never conflated. Monte-Carlo throughput → GPU lane (scale). Deterministic kernel → commodity CPU (correctness). The GPU lane is where MC throughput is measured; the deterministic kernel is where correctness is anchored. Archive SHA + 77 hashed artifacts available under NDA.

S10 · Claim boundaries

What is claimed. What is not.

Claimed

  • Deterministic where it provably publishes — not “always replaces Monte Carlo.”
  • CRN-anchored 99.9 parity on the worst-tail subset.
  • 10 M MC-challenger backing on hard regimes with hash-logged routing.
  • Tick p99 0.625 / p999 0.710 ms over 24 M ticks.
  • Pre-trade gate p99 1.064 ms over 24 M; ALLOW / REVIEW / BLOCK published.
  • Determinism: 1 hash / 1,000 repeats / 0.0% drift.
  • CPU correctness on commodity ARM at ~99 µs split, < 0.05% q99.9.
  • Negative controls fail-closed.
  • Sampler-independence across PRNG, Sobol, LHS.

Not claimed

  • Not a realised regulatory backtest PASS — Shadow Ledger ARMED, 250-observation floor not yet met.
  • Not a live-production sign-off at any bank or G-SIB.
  • Not “always replaces Monte Carlo.”
  • Not EVT 99.9 long-horizon promotable — WATCH_SUPPRESSED.
  • Not STAC-certified — self-run.
  • Not a market-maker pricing service.
  • Not a full-stack platform — embeddable layer beside Aladdin / Bloomberg / Murex / MSCI.

S11 · Economic value

Five mechanism-anchored drivers.

Per-bank ROI is established during pilot, not asserted up front. Quantification and sensitivity envelope are released under NDA. No headline dollar number.

01

Latency value

Recomputation cost on intraday-risk loops compresses toward the kernel envelope — the slowest layer is replaced.

Anchor · tick p99 0.625 ms

02

GPU utilisation

An 8×H100 cluster is freed for paths that actually need MC challenge; deterministic work runs on commodity ARM.

Anchor · 8.8 B / backend

03

Compliance velocity

Hash-chained verdicts and run-SHA replay shorten audit cycles — an external reviewer reconstructs decisions deterministically.

Anchor · 1 hash / 1,000 repeats

04

Decision quality

CRN-anchored deep tails carry the worst-case decision surface; agents and committees act on a stable target accuracy.

Anchor · CVaR 99.9 max 0.035%

05

Audit velocity

Bit-exact replay across hardware fingerprints shortens model-risk reviews from days to a single deterministic re-run.

Anchor · 0 failures / 8,800 cases

S12 · Architecture integration

Embeddable beside Aladdin, Bloomberg, Murex, MSCI.

ARIN22 is a layer, not a platform. Three calm integration targets — one for risk platforms, one for trading systems, one for sovereign & central use cases.

Risk platforms
Aladdin / MSCI
Recomputation accelerator beside the existing risk engine. Identical inputs, identical outputs, deterministic envelope — the same answer, faster and replayable.
Trading systems
Bloomberg / Murex
Pre-trade gate with FIX-level hooks. ALLOW / REVIEW / BLOCK published per-tick at p99 1.064 ms across a 24 M-tick mixed gate.
Sovereign & central
Macro & sovereign stress
CRN-anchored macro / sovereign stress, written IP boundary, bit-exact replay under a recorded hardware fingerprint.

Affiliations: NVIDIA Inception · NVIDIA Innovation Lab · Google for Startups · AWS Activate. ARIN22 is a US-registered name; the construction is a protected trade secret. Pre-client diligence-ready with a strong public-portfolio H100 validation package; not externally production-approved.

Math first · Agents second · Governor always · Audit forever

© 2026 Scientific Analytics Alliance Inc. · Sovereign Risk Infrastructure Privacy· Terms· Security NVIDIA Inception Program Member
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