Agree and seal
Both parties agree to the transaction terms. The system creates a unique receipt identifier, records the parties, amount, terms, and time, and seals the record with a cryptographic digest.
PROPRIETARY ZC-RBE
Carry selected numerical state far beyond the conventional FP64 boundary, preserve it through the calculation, and return a verified result to the system already in operation. ZC-RBE is a proprietary selective mixed-precision state-routing layer with a tested FP8192 path and FP16384 width headroom.
ZC-RBE PQ Integrity Vault
A local-first, post-quantum-ready evidence layer for transactions, AI actions, intellectual property, and sensitive numerical state.
“The advent of large-scale quantum computers ... will pose a significant threat to widely used cryptographic security systems.”
President Donald J. Trump, Executive Order 14412, Securing the Nation Against Advanced Cryptographic Attacks, June 22, 2026.
Instead of publishing every transaction to a public ledger, the parties retain a local, signed, verifiable record of what happened, when it happened, and what state produced it.
SEE HOW PRIVATE PROOF WORKSPrivate Proof / Off-Chain Equivalent
A transaction can be sealed into a private, locally held evidence record instead of exposing the parties’ wallet history to a public chain.
Both parties agree to the transaction terms. The system creates a unique receipt identifier, records the parties, amount, terms, and time, and seals the record with a cryptographic digest.
RBE preserves the selected numerical state used to create or verify the transaction. The system attaches the state summary, operation record, signed approvals, and output to the receipt.
Each party stores its copy locally or in its controlled private vault. The receipt can be indexed by its identifier without publishing a wallet address, balance history, resale path, or downstream activity.
If a dispute, audit, licensing review, or court action arises, the parties produce the exact receipt identifier and verification package. The verifier checks the signature, digest chain, timestamp, source record, and recorded state.
Two Halves / One Verified State
Both parties hold matching receipt data. The receiving side recomputes the digest and verifies the transferred state before marking the receipt VERIFIED.
RBE-7F4A-8192-A2state digest: 9D7C…41E2RBE-7F4A-8192-A2state digest: 9D7C…41E2Why this is a protection layer
RBE protects the integrity of the computational state behind an action. The evidence vault protects the identity, sequence, custody, and reproducibility of the record. Together they create a private proof object that can be independently checked without exposing the parties’ full transaction history.
Quantum leap in privacy architecture
The receipt architecture is designed to pair local evidence custody with NIST-aligned post-quantum key establishment and signatures, while RBE carries the high-range numerical state. It is a quantum leap from public transaction visibility to private, verifiable business evidence.
NIST Post-Quantum Cryptography standards · Executive Order 14412
Private proof gives the authorized parties a sealed identifier and a verification path that can be opened when the business, audit, or legal process requires it.
Illustration & Examples
Each example uses the same buyer workflow: create the canonical record, carry the RBE state, seal the receipt, verify the second endpoint, and retain the evidence package locally.
receipt_id: RBE-BIZ-8192-001state_capsule: full 7,000-digit RBE record retained privatelydigest: transaction + state + terms + timestampendpoint_result: SENDER = RECEIVER = VERIFIEDreceipt_id: RBE-AI-8192-014state_capsule: model input → tool call → RBE resultdigest: prompt + tool payload + state + approvalendpoint_result: AGENT = CONTROL ROOM = VERIFIEDreceipt_id: RBE-IP-16384-007state_capsule: full high-range computational provenancedigest: source version + inventorship + result + signaturesendpoint_result: INVENTOR = LICENSEE = VERIFIEDreceipt_id: RBE-TR-8192-022state_capsule: balance + policy + approval computationdigest: request + policy + state + signer setendpoint_result: TREASURY = COUNTERPARTY = VERIFIEDFP8192 → FP16384 / ZC-RBE Recorded Scale
FP8192 is the tested 8,192-bit ZC-RBE path; FP16384 is 2 × 8,192 and was tested as the next width. The recorded scale runs use 7,000-digit reference precision and long-horizon bounded propagation.
What this means: the tested architecture can keep selected numerical state inside its bounded coordinate during repeated propagation and recover the result at the defined output boundary.
Recorded recovery relative error: 7.639350850451435898e-4551. This is benchmarked numerical agreement, not a claim that ordinary 8,192-bit storage can represent every arbitrary 7,000-digit value.
Usage Map
Both parties receive a signed local receipt without publishing an address-linked transaction history to a public ledger.
Record the prompt, tool call, numerical state, approval, and resulting action as a verifiable evidence packet.
Preserve dated invention records, model outputs, design revisions, and signed technical evidence under local custody.
Create private receipts for approvals, transfers, margin calculations, and high-value state transitions.
Dual-Integration Evidence
The test executed the integrated TimesFM-compatible forecast path through recursive RBE state handling. These measurements establish the recorded execution behavior for this run; they do not establish forecast superiority.
Recorded output
forecast[0:8] = [0.3097254634, 0.3096097410, 0.3095662892, 0.3095683455, 0.3097159564, 0.3096523583, 0.3095986247, 0.3094677627]forecast[-1] = 0.3097122908rbe_recovered_forecast = forecast · continuity_max_absolute_error = 0.0Accuracy is displayed separately from numerical continuity. Forex output remains paper-only; SpO₂ output remains research telemetry.
Operational Utilities
The CUDA sparse telemetry path is proven locally: 2,048 steps, 64-scenario batches, two seeded holdouts, finite output, and exact replay. Direct cuSOLVER/cuSPARSE, MATLAB/MEX, and Julia adapters remain candidates until their own code paths and matched tests pass.
A customer supplies an approved workload; the selected adapter runs the controlled path; the returned package separates numerical continuity from domain accuracy and preserves the run metadata.
Alternatives & Integration Targets
These are comparison and integration targets, not a claim that the products solve the same problem or that ZC-RBE is superior to them.
Established arbitrary-precision numerical libraries are a direct comparison class for precision semantics and correctly rounded results.
Official MPFR referenceCurrent ZC-RBE evidence does not establish replacement, matching semantics, or speed superiority.
cuQuantum is an adjacent quantum-circuit simulation ecosystem with CPU/GPU simulation components and framework integrations.
Official cuQuantum documentationIt is not evidence that ZC-RBE uses physical qubits, enumerates 2^4096 states, or delivers quantum speedup.
These are GPU solver and sparse-linear-algebra integration targets for a buyer-selected matched workload.
Official cuSOLVER documentationThe direct adapter and matched benchmark remain candidate work, not a completed superiority result.
MATLAB’s external-language interfaces are a possible route for connecting a controlled RBE evaluation to an engineering workflow.
Official MATLAB C++ integrationNo MATLAB/MEX adapter is presented as executed evidence on this page.
GPU BLAS is a direct performance and integration comparison for FP64 linear-algebra workloads, including documented FP64 emulation modes.
Official cuBLAS documentationNo matched cuBLAS-versus-RBE benchmark is presented as completed.
ROCm’s BLAS library is an adjacent GPU numerical-computing alternative for AMD hardware and double-precision matrix operations.
Official rocBLAS documentationNo matched AMD-versus-RBE benchmark is presented as completed.
oneMKL provides optimized CPU/GPU math routines, including linear algebra and sparse solvers, making it an HPC integration comparison.
Official oneMKL documentationNo matched oneMKL-versus-RBE benchmark is presented as completed.
Primary Proof Pillars
Extreme-Scale Reversible Computation
At 4096-bit source scale, ZC-RBE was not limited to representation alone. Reversible encoding, order preservation, bounded-domain addition, bounded-domain multiplication, and 10,000-step state propagation all completed successfully with high-precision agreement against independently computed source-domain results.
Long-Horizon Bounded Propagation
ZC-RBE completed 100,000 consecutive bounded-domain state updates while remaining within the bounded coordinate domain and preserving recoverability in the tested high-precision recurrence.
FP64 Post-Overflow Continuity
In a controlled C++ recurrence benchmark, conventional FP64 overflowed at step 10 while the ZC-RBE FP64 representation remained finite and continued tracking the available high-precision encoded reference to approximately machine precision.
Validation Stack
PASS
PASS
PASS
PASS
PASS
PASS
ZC relative recovery error: 1.210571775742e-2126
ZC coordinate error: 2.944726528863e-3358
PASS
Recovery relative error: 3.387888162765e-285
Bounded all steps: YES
PASS
DIRECT ARITHMETIC FASTER
How It Was Validated
zc_rbe_kernel.cpp and zc_rbe_kernel.hpp without altering the algorithm.4096-Bit-Scale Computational Validation
The 4096-bit result establishes more than bounded representation.
At 4096-bit source scale, ZC-RBE demonstrated:
The exact 4096-bit endpoint contained 1,234 decimal digits.
Reversible encoding, order preservation, direct bounded addition, direct bounded multiplication, 10,000-step propagation, and independent source-domain recovery all completed in the retained anchor run.
The scaling record extends the tested width sequence from the historical 4096-bit anchor through FP8192 and FP16384 source-width cases.
What ZC-RBE Is
ZC-RBE is a reversible bounded computational coordinate architecture for representing and propagating numerical state inside a finite coordinate domain.
Controlled validation has demonstrated reversible representation through 4096-bit source magnitude, bounded-domain arithmetic, long-horizon state propagation, and FP64 post-overflow continuity in the tested workloads.
The architecture is now being evaluated for commercial applicability in workloads where overflow, uncontrolled magnitude growth, or long-horizon numerical propagation creates reliability constraints.
Extend The Numerical Failure Boundary
ZC-RBE is designed to move selected computations beyond the point where ordinary floating-point magnitude becomes non-finite.
In controlled FP64 testing, the conventional path overflowed at step 10 while the ZC-RBE path remained finite through completion and continued tracking the encoded reference.
The commercial value is not generic throughput improvement. The demonstrated value is numerical continuity in a regime where the conventional FP64 representation has already failed.
Target Evaluation Domains
Commercial Engagement
The proof stack is complete enough for buyer-selected technical evaluation. The next question is not whether the architecture can remain bounded in the demonstrated tests; it is whether that capability creates value inside the buyer's own numerical workload.
TIER 1
$25,000
Excludes
TIER 2
$75,000
Excludes
TIER 3 · DUAL INTEGRATION
$250,000
Combined evaluation of the ZC-RBE kernel and the ZC-RBE Forecasting 4.0 integration layer against a buyer-selected workload.
Proposed commercial evaluation term
START $250K DUAL-INTEGRATION EVALUATIONProduction, OEM, field-of-use, enterprise, exclusivity, and acquisition rights are separately negotiated.
Built For Numerical Infrastructure Buyers
Generic public positioning is shown below. Company-specific routing only appears when a company parameter is present.
Recommended test: numerical-library or extreme dynamic-range workload
Commercial ask: $75K Engineering Evaluation or $250K Dual-Integration Evaluation
Recommended test: solver robustness or simulation-runtime workload
Commercial ask: $75K Engineering Evaluation
Recommended test: solver, recurrence, or numerical-runtime workload
Commercial ask: $75K Engineering Evaluation
Recommended test: extreme dynamic-range or bounded-state propagation workload
Commercial ask: $75K Engineering Evaluation
Recommended test: bounded-state runtime or hardware-adjacent numerical path
Commercial ask: $75K Engineering Evaluation
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