Document Header

Document ID: ODF-WP-2026-004 · Revision: 1.0 (DAG-Only Edition)

License: CC-BY-SA-4.0 (documentation) / Apache-2.0 + GPL-3.0 (code)

Architecture: directed acyclic graph only. All Merkle tree constructions are explicitly excluded. Cryptographic integrity is achieved entirely through DAG parent-hash structure.

Physical Layer Stack

Volume I — Subsystem Detail

DAG:  raw_adc ─┬─▶ window ──▶ range_fft ──┐
               │                          ├─▶ range_doppler ──▶ cfar ──▶ cloud
               └─▶ dc_remove ─▶ calib ────┘

lot_register ──▶ dose_event ──▶ imaging_obs ──▶ clearance_model
                       │                │
                       └──▶ adverse_log └──▶ model_revision

Volume VI — Fabrication & Bill of Materials (Excerpt)

Formal verification programme

• SAFE class instruction-level model checking (bounded, exhaustive over defined state space)
• DAG node invariant proofs: no cycles, single hash function, deterministic serialization
• Beamforming reduction equivalence (floating-point model vs. fixed-point RTL)
• Power-rail fault injection and recovery sequence validation

Architectural Summary

Instruction Classes

SAFE Hardware Safety Class

The SAFE class is deliberately not a software library. Envelope comparisons occur in dedicated hardware on the drive path; a SAFE_TRIP cannot be deferred, buffered, or masked by an operating system.

Bare-Metal Firmware Sketch (Rust)

Illustrative only — abbreviated from the Volume II firmware appendix.

#![no_std]
#![no_main]

use core::ptr::{read_volatile, write_volatile};

const ENVELOPE_MI:   f32 = 0.40;
const ENVELOPE_TI:   f32 = 0.80;
const ENVELOPE_DUTY: f32 = 0.02;

#[repr(C)]
struct DriveWindow {
    mi:   f32,
    ti:   f32,
    duty: f32,
}

unsafe fn safe_arm(w: &DriveWindow) -> bool {
    if w.mi > ENVELOPE_MI || w.ti > ENVELOPE_TI || w.duty > ENVELOPE_DUTY {
        asm!("SAFE_TRIP");
        return false;
    }
    asm!("SAFE_ARM");
    true
}

#[no_mangle]
pub extern "C" fn drive_tick(w: *const DriveWindow) {
    let win = unsafe { &*w };
    if !unsafe { safe_arm(win) } {
        // fault latched; SFU vector handles recovery
        return;
    }
    unsafe { write_volatile(0x4000_1000 as *mut u32, 1) }; // start pulse
}

QEXT — Quantum Substrate Orchestration

Coherence monitoring is handled by the RACI monitor described in Volume IV, which publishes a monotonically decreasing quality metric into a DAG node per measurement window.

Four-Layer DAG Datapath

Each layer boundary is a DAG cut. Nothing crosses a cut without a sealed node, so any downstream result is reproducible from its ancestry alone.

128-Bit SEG Node Bit Structure

The SEG node is the atomic semantic unit. Its 128-bit header is fixed-layout so that hardware can parse it without a decoding table.

PMCU — Bayesian Inference & Dynamic Scheduler

The predictive memory control unit maintains a posterior over which node lineage will be requested next and pre-stages lattice lines accordingly. Scheduling decisions are themselves recorded as DAG nodes, so performance tuning is auditable.

posterior:  P(L_i | E_t) ∝ P(E_t | L_i) · P(L_i | E_{t−1})

stage cost: C_stage = α·miss_rate + β·latency + γ·energy

schedule:   argmin_{π}  Σ_i C_stage(π(i)) · P(L_i | E_t)

Unified Memory Lattice

Nodes occupy a lattice indexed by (level, kind, epoch). Sibling nodes share cache lines only when their ancestry intersects within a bounded depth, which keeps eviction decisions local to a subgraph.

SOML Safe-Commit Protocol

Asymmetric N-Refinement Dual-Clock HTC

Two clock domains — a fast semantic clock and a slow trust clock — are refined asymmetrically. Semantic operations run at full rate; trust operations are batched on the slow clock and committed as a single DAG extension. This keeps cryptographic overhead off the inference critical path without weakening the audit chain.

PQC Multi-Tier Trust Chain (DAG-Only)

node_hash = SHA3-256( canonical(payload) ‖ parent_hash_0 [‖ parent_hash_1 …] ‖ epoch )

Nodes may have multiple parents. There is no single root object, no inclusion proof, and no batch commitment — verification is a traversal over parent links.

Figure Index — 22 Formal Figures

Module Map

HAL Initialization Sequence

hal_init()
 ├─ board_id()            # read EEPROM identity block
 ├─ rail_seq()            # 3V3 → 2V5 → 1V8, 2 ms stagger
 ├─ clock_tree()          # PLL lock, 1.2 GHz semantic, 10 MHz trust
 ├─ mem_train()           # LPDDR5X training, DAG arena reservation
 ├─ safe_selftest()       # SAFE envelope registers → nominal
 ├─ pqc_provision()       # ML-DSA identity, device root of trust
 └─ dag_genesis()         # emit device genesis node (no root commit)

UOSE-Studio

Command-line interface

Problem Statement

Legal Architecture — UDTA Purpose Trust

Spend-Rate Rule

D(t) ≤ 0.05 × (1/5) Σ Corpus(t−k)   for k = 1 … 5

The distribution in any year may not exceed five percent of the trailing five-year average corpus. The constraint is enforced by the Trust Protector's veto, not merely by policy statement.

Interactive — Spend-Rate Constraint

DYREO Mathematical Formulation

max_w   α·wᵀμ + β·wᵀs − γ·wᵀΣw

s.t.    wᵀs ≥ S_min
        P(wᵀr < −δ) ≤ ε
        w_housing ∈ [0.40, 0.50]
        w_clean   ∈ [0.15, 0.25]
        w_fixed   ∈ [0.20, 0.30]
        w_liquid  ∈ [0.05, 0.15]
        Σ w_i = 1,   w_i ≥ 0

S-EROI Threshold

S-EROI = ∫[P_solar(t) − P_loss(t)] dt / (K_cap + ∫C_maint(t) dt)  ≥ 0.73 kWh/$

S-EROI is the screening gate for clean-energy allocations: capital is only committed where the projected lifetime energy return per dollar clears the threshold.

Asset Allocation

MORTAR Queue Optimization

MORTAR replaces FIFO with an O(n log m) locality-sensitive hashing priority queue. Claimants are embedded into a locality-preserving space so that similar evidentiary profiles are adjudicated together, while a hard anti-starvation rule guarantees an upper bound on any individual's wait.

P(c_i) = α·R_m(c_i) + β·R_v(c_i) + γ·R_t(c_i) + ε_i

hard anti-starvation:   t_i > T_max  ⇒  P(c_i) = ∞

OSI-P Cryptographic Audit — Strict DAG-Only

• Node hash: H_node = SHA3-256(Data Block_i ‖ Parent_Hash ‖ Timestamp)
• Linking: directed acyclic graph only — each node references prior parent hashes
• Excluded: Merkle trees, Merkle roots, Merkle inclusion proofs
• Post-quantum attestation: NIST FIPS 204 (ML-DSA-87)
• Evidentiary posture: self-authenticating under FRE 902(13)–(14)

Projected Impact & Risk Register

Petition Header

Title: USB-POWERED ELECTROCHEMICAL GENOTYPING PLATFORM WITH ROLL-TO-ROLL DISPOSABLE CARTRIDGES AND QUANTUM-RESISTANT BLOCKCHAIN EVIDENCE AUTHENTICATION

Applicant / Inventor: Caustin McLaughlin · Pro Se

Target: USPTO · Track One PQC

Abstract Summary

A portable genotyping system comprising a USB-powered reusable reader and a disposable electrochemical cartridge produced by roll-to-roll printing. The cartridge contains spatially multiplexed screen-printed carbon working electrodes, microfluidic channels, and dried allele-specific reagents combining isothermal amplification with CRISPR-Cas electrochemical reporters. The reader houses a femtoampere potentiostat, a multiplexer addressing up to 96 electrodes, and a USB-C Power Delivery microcontroller. Genotype calls for SNPs and indels are produced in approximately fifteen minutes. Quantum-resistant DAG-only evidence anchoring — lattice-based signatures plus parent-hash linking — secures each genotype packet. No Merkle trees are used.

Limitations of Prior Art Addressed

1. Optical systems (qPCR, microarrays, sequencing) require light sources, filters, and photodetectors — driving cost, power, and heat.
2. Typical real-time PCR instruments cost $5,000–$50,000, placing them out of reach for point-of-care and consumer use.
3. Optical components do not scale with roll-to-roll manufacturing.
4. Existing electrochemical cartridges are limited to roughly eight electrodes or still require optical confirmation.
5. Conventional blockchain and Merkle constructions secured by ECDSA or RSA are vulnerable to quantum attack and unsuitable for multi-decade genetic evidence. The present platform uses pure DAG parent-hash linking only.

First Aspect — Disposable Cartridge

Second Aspect — USB-C Reader

Workflow

Claims Outline

1. A genotyping system comprising a reusable reader and a disposable electrochemical cartridge, wherein the cartridge comprises at least 48 screen-printed carbon working electrodes disposed at a pitch of 200 µm or less.
2. The system of claim 1, wherein the cartridge further comprises dried isothermal amplification reagents and a CRISPR-Cas electrochemical reporter dried in spatially distinct reaction zones.
3. The system of claim 1, wherein the reader comprises a potentiostat having a trans-impedance amplifier with femtoampere resolution and a multiplexer addressing at least 96 working electrodes.
4. The system of claim 1, wherein the reader is powered exclusively by a USB-C Power Delivery interface and draws no more than 500 mA at 5 V.
5. The system of claim 1, further comprising a cryptographic evidence module that seals each genotype packet as a node in a directed acyclic graph, each node comprising a hash of its payload and a hash of at least one parent node.
6. The system of claim 5, wherein the evidence module uses lattice-based digital signatures conforming to NIST FIPS 204.
7. The system of claim 5, wherein the evidence module does not construct a Merkle tree, Merkle root, or Merkle inclusion proof.
8. A method of genotyping comprising: loading a roll-to-roll printed cartridge; performing isothermal amplification; generating an electrochemical signal via CRISPR-Cas collateral cleavage; reading the signal chronoamperometrically; and sealing the resulting genotype call into a DAG-only evidence chain.

Abbreviated for portfolio display. Full claim set with dependent claims appears in the filing.