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plurigrid

iecsat-storage

by plurigrid

everything is topological chemputer!

2🍴 3📅 2026年1月20日
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SKILL.md


name: iecsat-storage description: IECsat Storage Skill version: 1.0.0

iecsat-storage Skill

"69 bytes of mutual awareness per tile. 3 × 23. Triadic by design."

Overview

IECsat Storage calculates on-chain storage costs for Plus Code tiles with GF(3)-conserved mutual awareness. Each tile maintains exactly 69 bytes of state.

The 69-Byte Structure

69 = 3 × 23 (triadic decomposition)

┌─────────────────────────────────────────────────────────┐
│                   69-BYTE TILE STATE                    │
├─────────────────────────────────────────────────────────┤
│  PLUS (+1)     │  ERGODIC (0)   │  MINUS (-1)          │
│  23 bytes      │  23 bytes      │  23 bytes            │
│  GENERATOR     │  COORDINATOR   │  VALIDATOR           │
├────────────────┼────────────────┼──────────────────────┤
│  state_hash    │  neighbor_refs │  proof_data          │
│  (20 bytes)    │  (20 bytes)    │  (20 bytes)          │
│  trit (1 byte) │  trit (1 byte) │  trit (1 byte)       │
│  flags (2 B)   │  flags (2 B)   │  flags (2 B)         │
└────────────────┴────────────────┴──────────────────────┘

Σ(trit) = +1 + 0 + (-1) = 0 ✓ CONSERVED

Plus Code Precision Levels

LengthTilesResolutionExample
21622,226 kmGlobal quadrant
464,800111 kmCountry region
625.9M5.6 kmCity district
810.4B278 mCity block
104.1T14 mBuilding
1183T70 cmRoom
1333Q14 cmObject
1513 quint5.6 mmComponent
175.3 sext223 μmMicrostructure

Storage Cost Analysis (Aptos Mainnet)

Pricing assumptions:
- Storage cost: 0.00001 APT per byte
- APT price: $12 USD
- Bytes per tile: 69

Cost formula:
  APT = tiles × 69 × 0.00001
  USD = APT × 12

Cost Table

PrecisionTilesStorageAPTUSD
10-char4.15T286 TB2.86M$34.3B
11-char82.9T5.7 PB57.2M$687B
12-char1.66Q114 PB1.14B$13.7T
13-char33.2Q2.29 EB22.9B$275T
17-char5.31S366 ZB3.66Q$44 quint

Hierarchical Strategy

┌─────────────────────────────────────────────────────────┐
│                  ON-CHAIN (APTOS)                       │
│  10-char root tiles: 4.1T × 69B = 286 TB               │
│  Cost: 2.86M APT ($34B)                                │
│  Contains: Merkle roots for child tiles                │
├─────────────────────────────────────────────────────────┤
│                 OFF-CHAIN (ARWEAVE)                     │
│  11-17 char tiles: Content-addressed                   │
│  Proof: Merkle path from root → leaf                   │
│  Cost: ~$0.005/MB permanent storage                    │
└─────────────────────────────────────────────────────────┘

Denotation

IECsat : PlusCode → (TileState × MerkleProof)

where:
  TileState = { plus: 23B, ergodic: 23B, minus: 23B }
  MerkleProof = Path from 10-char root to target tile

Invariant: ∀ tile: Σ(trit) ≡ 0 (mod 3)

Practical Applications

Battery Cell Tracking (238.8B cells)

Cells: 238,800,000,000
Storage: 238.8B × 69B = 16.5 TB
APT: 165M APT
USD: $1.98B

Fraction of APT supply: 16.5%

Global Building Coverage (10-char)

All buildings worldwide: ~1 billion
Storage: 1B × 69B = 69 GB
APT: 690K APT
USD: $8.3M

Move Implementation

struct TileState has store, copy, drop {
    // PLUS (+1) - 23 bytes
    generator_hash: vector<u8>,  // 20 bytes
    generator_trit: u8,          // 1 byte
    generator_flags: u16,        // 2 bytes

    // ERGODIC (0) - 23 bytes
    coordinator_refs: vector<u8>, // 20 bytes
    coordinator_trit: u8,         // 1 byte
    coordinator_flags: u16,       // 2 bytes

    // MINUS (-1) - 23 bytes
    validator_proof: vector<u8>,  // 20 bytes
    validator_trit: u8,           // 1 byte
    validator_flags: u16,         // 2 bytes
}

public fun is_gf3_conserved(state: &TileState): bool {
    let sum = (state.generator_trit as i8 - 1) +  // 2 → +1
              (state.coordinator_trit as i8) +     // 0 → 0
              (state.validator_trit as i8 - 1);    // 1 → -1 (adjusted)
    sum == 0
}

Commands

# Calculate storage for N tiles
python3 -c "
tiles = 4_147_200_000_000  # 10-char
bytes_per_tile = 69
apt_per_byte = 0.00001
apt_price = 12

total_bytes = tiles * bytes_per_tile
total_apt = total_bytes * apt_per_byte
total_usd = total_apt * apt_price

print(f'Tiles: {tiles:,}')
print(f'Storage: {total_bytes/1e12:.2f} TB')
print(f'APT: {total_apt/1e6:.2f}M')
print(f'USD: \${total_usd/1e9:.2f}B')
"

GF(3) Triads

iecsat-storage (0) ⊗ aptos-gf3-society (+1) ⊗ merkle-validation (-1) = 0 ✓
iecsat-storage (0) ⊗ plus-codes (+1) ⊗ content-addressing (-1) = 0 ✓

Skill Name: iecsat-storage Type: Storage Cost Estimation / On-Chain Economics Trit: 0 (ERGODIC - COORDINATOR) GF(3): Mediates between tile generation and validation

Scientific Skill Interleaving

This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:

Graph Theory

  • networkx [○] via bicomodule
    • Universal graph hub

Bibliography References

  • general: 734 citations in bib.duckdb

Cat# Integration

This skill maps to Cat# = Comod(P) as a bicomodule in the Prof home:

Trit: 0 (ERGODIC)
Home: Prof (profunctors/bimodules)
Poly Op: ⊗ (parallel composition)
Kan Role: Adj (adjunction bridge)

GF(3) Naturality

The skill participates in triads where:

(-1) + (0) + (+1) ≡ 0 (mod 3)

This ensures compositional coherence in the Cat# equipment structure.

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