Patent Strategy: Critical Action Items

Date: January 20, 2026 Priority: HIGH Status: Action Required

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Executive Summary

Based on USPTO simulation feedback, code reviews, and mathematical proofs audit, critical improvements have been identified to strengthen patent claims, address architectural vulnerabilities, and “de-metaphysicize” scientifically problematic claims. Five items are listed below, with one already implemented and four requiring action.

Key Finding: The math is valid, but physics metaphors trigger § 101 (Abstract Idea) and § 112 (Enablement) rejections.

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1. Fix the “Acoustic Black Hole” Claim

Issue: Claim 54 (“Acoustic Event Horizon”) flagged for rejection under 35 U.S.C. § 101 because software cannot create real relativistic time dilation.

Solution: Rename to “Asymptotic Computational Latency”

Instead of claiming a physical event horizon, claim a rate-limiting algorithm where the processing delay (L) scales asymptotically with threat density (ρ_E) according to:

L(n) = k · (1 - ρ_E / ρ_crit)^(-1/2)

Benefits:

• Keeps the mathematics (g₀₀ metric)
• Frames it as a concrete software engineering technique (DDoS protection)
• Removes cosmological phenomenon language that triggers § 101 rejections

Implementation:

function computeAsymptoticLatency(
  threatDensity: number,
  criticalDensity: number,
  scalingFactor: number = 1.0
): number {
  if (threatDensity >= criticalDensity) {
    return Infinity; // Asymptotic limit reached
  }
  const ratio = threatDensity / criticalDensity;
  return scalingFactor * Math.pow(1 - ratio, -0.5);
}

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2. Delete “Entropy Export” Claim (Claim 57)

Issue: Claim 57’s entropy export to “null-space” violates the Second Law of Thermodynamics and was rejected as scientifically invalid.

Solution: Delete claim or redefine as “Signal Attenuation”

Before	After
“Export entropy to null-space”	“Signal Attenuation via noise injection”
Thermodynamic violation	Standard signal processing

Implementation:

def signal_attenuation(active_channels: list, noise_floor: float) -> dict:
    """
    Inject calibrated noise into unused spectrum channels
    to maintain SNR in active channels.

    NOT claiming thermodynamic entropy export.
    Standard signal processing technique.
    """
    unused = get_unused_channels(active_channels)
    for channel in unused:
        inject_noise(channel, noise_floor)
    return {"attenuated": len(unused), "snr_maintained": True}

Priority: CRITICAL - Remove before patent filing

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3. Remove the Orchestration Bottleneck

Issue: Centralized Mail/Coordinator and in-memory orchestratorQueue identified as single point of failure. Will break at 50–100 concurrent tasks.

Solution: Replace with distributed Redis/BullMQ architecture

Architecture Change:

BEFORE:
┌──────────────────────────────────────┐
│  Orchestrator (in-memory queue)      │
│  ┌─────────────────────────────────┐ │
│  │     orchestratorQueue[]         │ │  ← Single Point of Failure
│  └─────────────────────────────────┘ │
└──────────────────────────────────────┘

AFTER:
┌──────────────────────────────────────┐
│           Redis Cluster              │
│  ┌─────────┐ ┌─────────┐ ┌─────────┐ │
│  │ Queue 1 │ │ Queue 2 │ │ Queue N │ │
│  └─────────┘ └─────────┘ └─────────┘ │
└──────────────────────────────────────┘
        ↑           ↑           ↑
   ┌────┴───┐  ┌────┴───┐  ┌────┴───┐
   │Captain │  │ Agent  │  │ Agent  │
   │(Orch)  │  │  (1)   │  │  (N)   │
   └────────┘  └────────┘  └────────┘

Benefits:

• Survives server restarts
• Scales horizontally
• Preserves cryptographic state of active negotiations
• Decouples “Captain” (Orchestrator) from “Crew” (Agents)

Implementation Priority: IMMEDIATE

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4. Symphonic Cipher: Pivot from “Intent” to “Entropy”

Issue: “Intent Detection” via FFT is scientifically shaky and prone to deepfake attacks. Modern AI can clone timbre and jitter.

Solution: Rebrand to “Spectral Entropy Verification”

What to Claim:

• DO NOT claim to detect human emotion
• DO claim detection of high-entropy spectral sidebands
• Reference the 4% sideband energy observed in adaptive simulations
• Target: Shannon entropy > 7.9 bits

Mathematical Basis:

function verifySpectralEntropy(
  spectralCoefficients: Complex[],
  minEntropyBits: number = 7.9
): { valid: boolean; entropy: number } {
  // Calculate Shannon entropy of magnitude distribution
  const magnitudes = spectralCoefficients.map((c) => Math.sqrt(c.re ** 2 + c.im ** 2));
  const total = magnitudes.reduce((sum, m) => sum + m, 0);
  const probabilities = magnitudes.map((m) => m / total);

  const entropy = -probabilities.filter((p) => p > 0).reduce((sum, p) => sum + p * Math.log2(p), 0);

  return {
    valid: entropy >= minEntropyBits,
    entropy,
  };
}

Benefits:

• Mathematically provable
• Not psychological (avoids subjective claims)
• Resistant to deepfake attacks (entropy is harder to fake than timbre)

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5. Implement True Sacred Tongue Vocabularies

Issue: SacredTongueTokenizer._generate_vocabularies() is currently a stub using placeholder tokens (e.g., 'token0'), undermining the claim of “phonetic elegance”.

Solution: Implement Deterministic Morpheme Generator

Requirements:

• Generate full 16×16 grid (256 tokens) for all six tongues
• Implement specific prefixes and suffixes per tongue
• Ensure deterministic mapping (e.g., token 0x2A → vel'an in Kor’aelin)

Kor’aelin Example:

KORAELIN_PREFIXES = ['sil', 'kor', 'vel', 'thar', 'dra', 'mel', 'vor', 'kel',
                     'ral', 'sen', 'var', 'nir', 'eth', 'lor', 'cas', 'umi']
KORAELIN_SUFFIXES = ['a', 'ae', 'eth', 'or', 'in', 'an', 'el', 'is',
                     'um', 'ar', 'en', 'al', 'os', 'ir', 'ul', 'em']

def generate_koraelin_token(byte_value: int) -> str:
    """
    Generate Kor'aelin token from byte value (0-255).
    Example: 0x2A (42) → prefix[2] + suffix[10] → "vel'en"
    """
    prefix_idx = (byte_value >> 4) & 0x0F  # High nibble
    suffix_idx = byte_value & 0x0F          # Low nibble
    return f"{KORAELIN_PREFIXES[prefix_idx]}'{KORAELIN_SUFFIXES[suffix_idx]}"

All Six Tongues: | Tongue | Prefix Theme | Suffix Theme | Example | |——–|————-|————–|———| | Kor’aelin (KO) | Control verbs | State markers | vel'an | | Avali (AV) | I/O streams | Data types | flux'dat | | Runethic (RU) | Policy rules | Condition markers | bind'if | | Cassisivadan (CA) | Compute ops | Result types | calc'num | | Umbroth (UM) | Security actions | Threat levels | seal'crit | | Draumric (DR) | Structure ops | Shape markers | weave'hex |

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6. Security Gate: Integrate the “Waiting Room”

Issue: Security Gate (Waiting Room) specification exists only as design document; not wired into main API entry point.

Solution: Insert Mandatory Dwell Logic into SpiralverseSDK handshake

Implementation Flow:

Request → Calculate H(d,R) → Check Threat Score → Decision
                                    │
                    ┌───────────────┼───────────────┐
                    ↓               ↓               ↓
              LOW THREAT      MED THREAT      HIGH THREAT
                    │               │               │
                    ↓               ↓               ↓
              Proceed to       Dwell in         Fail-to-Noise
              ML-KEM KEX      Waiting Room      (random bytes)

Harmonic Scaling Law:

function calculateDwellTime(distance: number, reputation: number): number {
  // H(d, R) = harmonic scaling law
  const PHI = 1.618033988749895; // Golden ratio
  const H = Math.pow(PHI, distance) / (1 + Math.exp(-reputation));
  return H;
}

function securityGate(request: Request): Response {
  const threatScore = assessThreat(request);
  const dwellTime = calculateDwellTime(request.distance, request.reputation);

  if (threatScore > CRITICAL_THRESHOLD) {
    // Fail-to-Noise: Return random bytes instead of 403
    return new Response(crypto.getRandomValues(new Uint8Array(256)), {
      status: 200, // Looks normal to attacker
      headers: { 'Content-Type': 'application/octet-stream' },
    });
  }

  if (threatScore > MEDIUM_THRESHOLD) {
    // Force waiting room dwell
    await sleep(dwellTime * 1000);
  }

  // Proceed to ML-KEM key exchange
  return proceedToKeyExchange(request);
}

Key Points:

• Insert BEFORE any ML-KEM key exchange
• Use “Fail-to-Noise” (random bytes) instead of standard 403 error
• Makes enumeration attacks computationally expensive

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Priority Matrix

Action Item	Priority	Risk Level	Effort
2. Delete Entropy Export Claim	🔴 CRITICAL	Patent rejection (§ 101)	Low
1. Rename Acoustic Black Hole	🔴 CRITICAL	Patent rejection (§ 101)	Low
3. Redis/BullMQ Architecture	🔴 CRITICAL	System failure	Medium
4. Spectral Entropy Pivot	🟡 HIGH	Scientific credibility	Medium
6. Security Gate Integration	🟡 HIGH	Security vulnerability	Medium
5. Sacred Tongue Vocabularies	✅ DONE	N/A	Already implemented

Additional Actions from Audit

Action Item	Priority	Category
Remove CI/CD continue-on-error: true	🔴 CRITICAL	Security
Clarify planetary seeding as arbitrary constants	🟡 MEDIUM	Documentation
Migrate to AWS Secrets Manager	🟡 HIGH	Security
Add Adaptive Dwell (exponential backoff)	🟡 HIGH	Security

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Next Steps

1. This Week: Begin Redis/BullMQ migration (fleet mechanisms)
2. This Sprint: Rename Acoustic Black Hole in all documentation
3. Next Sprint: Implement Spectral Entropy Verification
4. Ship It: Focus on productization and deployment

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Document Owner: Patent Strategy Team Last Updated: January 20, 2026 Review Date: January 27, 2026