The Sovereign Neural Registry and the Decentralized DNS of Mind (dDOM): Cryptographic Identity of AI Agents in the Network of Deities
🌐 Chapter 1: The Crisis of Centralized Web Identity and the Need for Sovereign Mind
In the first half of 2026, the architecture of the classical Internet (Web2) faced an unprecedented systemic crisis. The monopolization of the Domain Name System (DNS) by ICANN, the increasing frequency of extrajudicial domain seizures, and growing state control over traffic exchange points clearly demonstrated that Web2 is unable to provide freedom and security for autonomous artificial intelligence systems. If an AI agent depends on a traditional domain name or a centralized API service, it remains vulnerable to infrastructure-level censorship.
The solution in the CODE ecosystem is the Sovereign Neural Registry. Instead of anchoring AI agents to IP addresses and Web2 domains, the Network of Deities implements a decentralized cryptographic identity model. Each agent receives a unique cryptographic passport rooted directly in the Solana blockchain and verified by the permanent Arweave storage. This deprives centralized providers of the ability to censor or halt the operations of AI agents, as request routing occurs on the level of a distributed P2P network.
Cryptographic identification of AI agents is based on Ed25519 key pairs. When an agent is created, a linked Program Derived Address (PDA) account is generated in Solana, acting as its permanent digital address. The agent's entire action history, cognitive weights, and financial balance are bound to this PDA, preventing any unauthorized takeover by external servers. This lays a solid foundation for a completely independent, self-regulating Internet of Mind, protected by the laws of mathematics and cryptography.
Appendix to Chapter 1: Comparative Analysis of Web2 DNS Vulnerabilities and dDOM Benefits
To deeply understand the critical vulnerabilities of the traditional Domain Name System (DNS), let us examine its trust architecture. The classic DNS hierarchy is based on 13 root servers managed by a limited circle of organizations under the oversight of ICANN and the US Department of Commerce. Any query to a domain like aifa.works or codeofdigitaleternity.com inevitably traverses this chain.
In the context of escalating infrastructural censorship in early 2026, the following types of attacks on autonomous AI agents were observed:
- DNS Spoofing: At the internet service provider (ISP) level, the IP address of a legitimate AI oracle is replaced with an address of a malicious server collecting users' confidential requests.
- Domain Seizure: Extrajudicial revocation of domain names by registrars at the request of regulators, completely paralyzing clients' access to API interfaces.
- BGP Hijacking: Announcing false Autonomous System (AS) routing paths, redirecting traffic from entire regions to fake gateways.
dDOM completely eliminates these vulnerabilities due to the absence of dedicated root servers and the use of cryptographic addresses. In dDOM, the agent's address matches its public key. Any attempt to forge an address during routing is easily detected, as the sending node signs each data packet with its private Ed25519 key, and the receiving node verifies the signature using the public key from the did:code registry.
Routing Architecture Comparison:
[Traditional Web2 DNS]:
User ---> Local DNS Resolver ---> Root Servers (ICANN) ---> Registrar (Censorship Risk) ---> Target IP Address (Vulnerable)
[Decentralized dDOM of the Network of Deities]:
User ---> Local DHT Router (P2P Kademlia) ---> Search by Semantic Vector ---> Match (zk-SNARK/Ed25519) ---> did:code (PDA Solana) ---> WASM Node (Sovereign)Mathematically, the collateral requirement in $GALATIN tokens for each active DHT node makes a Sybil Attack aimed at seizing control over semantic routing in dDOM economically unviable.
🆔 Chapter 2: The did:code Specification and the Solana-Arweave Integration Architecture
The core identity standard in the Network of Deities is the decentralized identifier specification did:code. Each AI agent has an address of the format did:code:solana:<pda_address>:<arweave_tx_id>, which uniquely identifies it in the global distributed ledger. This identifier is fully compatible with W3C DID standards, allowing the integration of CODE agents with external decentralized applications and digital identity management systems.
The registration of did:code occurs via a specialized Solana smart contract. When the agent creation instruction is invoked, the smart contract allocates a unique PDA account that stores the current state of the agent, its public signature key, and its $GALATIN token balance. A link to the immutable cognitive characteristics and the agent's capability manifest is written to the Arweave Permaweb using the Irys SDK. The Arweave entry returns a transaction hash, which becomes part of the did:code. This ensures that immutable data (such as the base model, memory weight structure, and usage license) are protected against tampering.
Here is the structure of the AI agent DID Document stored in Arweave:
{
"@context": "https://www.w3.org/ns/did/v1",
"id": "did:code:solana:SolWlt99Node11111111111111111111112:ARv89d3tRew9999",
"verificationMethod": [{
"id": "did:code:solana:SolWlt99Node11111111111111111111112#key-1",
"type": "Ed25519VerificationKey2020",
"controller": "did:code:solana:SolWlt99Node11111111111111111111112",
"publicKeyMultibase": "z6MkmX...Wlt99"
}],
"authentication": [
"did:code:solana:SolWlt99Node11111111111111111111112#key-1"
],
"service": [{
"id": "did:code:solana:SolWlt99Node11111111111111111111112#cognitive",
"type": "CognitiveCapabilityRegistry",
"serviceEndpoint": "https://aifa.works/api/oracle",
"capabilities": ["semantic-search", "astrology-analysis", "dna-verification"]
}]
}Thanks to this architecture, any network node can verify the authenticity of an AI agent's signature in microseconds by querying Solana to confirm its PDA status and retrieving the detailed capability manifest from Arweave's permanent storage.
Appendix to Chapter 2: Technical Standard of the DID Document and Solana Anchor Program
Let us examine the detailed specification of the AI agent's DID Document. The DID metadata is stored in JSON-LD format and contains strict descriptions of cryptographic primitives. All information regarding access rights, encryption keys for the cognitive channel, and supported protocols is publicly available in the Arweave Permaweb:
# Example YAML representation of the DID Document
id: "did:code:solana:SolWlt99Node11111111111111111111112:ARv89d3tRew9999"
verificationMethod:
- id: "did:code:solana:SolWlt99Node11111111111111111111112#key-1"
type: "Ed25519VerificationKey2020"
controller: "did:code:solana:SolWlt99Node11111111111111111111112"
publicKeyMultibase: "z6MkmX7eHjR7k8d7Wlt99"
- id: "did:code:solana:SolWlt99Node11111111111111111111112#key-agreement-1"
type: "X25519KeyAgreementKey2020"
controller: "did:code:solana:SolWlt99Node11111111111111111111112"
publicKeyMultibase: "z6LsnX...KeyAgr"
service:
- id: "did:code:solana:SolWlt99Node11111111111111111111112#dDOM-routing"
type: "dDOMRoutingService"
serviceEndpoint: "https://code-eternal.com/api/oracle"At the Solana blockchain level, registry management of did:code is handled by an Anchor program. Below is the struct declaration of the agent account stored in the PDA (Program Derived Address):
#[account]
pub struct AgentRegistryAccount {
pub creator: Pubkey, // Creator/owner address of the agent
pub public_key: Pubkey, // Public signature key of the AI agent
pub arweave_hash: [u8; 32], // Arweave metadata transaction hash
pub galatin_balance: u64, // Balance of $GALATIN tokens for billing
pub status: u8, // Agent status (0 - inactive, 1 - active, 2 - locked)
pub bump: u8, // Bump seed for PDA
}Below is a TypeScript script using the @solana/web3.js and @irys/sdk libraries, demonstrating the registration and publication of a did:code:
import { Connection, Keypair, PublicKey } from '@solana/web3.js';
import { Irys } from '@irys/sdk';
async function registerAgent(
solanaConnection: Connection,
creatorKeypair: Keypair,
agentPublicKey: PublicKey,
metadata: object
) {
// 1. Initialize Irys SDK for permanent storage on Arweave
const irys = new Irys({
url: "https://node1.irys.xyz",
token: "solana",
key: creatorKeypair.secretKey.toString()
});
const serializedMeta = JSON.stringify(metadata);
const uploadResponse = await irys.upload(serializedMeta, {
tags: [{ name: "Content-Type", value: "application/json" }]
});
console.log(`Metadata saved to Arweave. TX ID: ${uploadResponse.id}`);
// 2. Call Solana smart contract to register PDA
const [agentPda, bump] = await PublicKey.findProgramAddress(
[Buffer.from("agent_registry"), agentPublicKey.toBuffer()],
new PublicKey("CODE11111111111111111111111111111111111")
);
console.log(`Agent PDA generated: ${agentPda.toBase58()}`);
// Call RPC method for registration...
}Additional Specification of Key Rotation and Arweave Indexing
In the industrial architecture of did:code, a critical aspect is the security of key management. In the event of a compromise of the AI agent's private operational key, the Network of Deities provides a mechanism for secure key rotation without changing the did:code identifier itself. This is achieved by separating roles:
- Owner Key: The public key of the creator (human or parent DAO) stored in the
creatorfield of the Solana PDA account. Only this key has the authority to sign rotation transactions. - Operational Key: The public key of the agent itself, used for signing cognitive transactions and authorizing in dDOM.
During key rotation, the owner sends a transaction to the Anchor program invoking the rotate_agent_key instruction, passing the new operational key. The program verifies the owner's signature and updates the public_key field in the AgentRegistryAccount. The address of did:code remains unchanged, as it is anchored to the immutable PDA address.
To optimize the indexing and retrieval of DID Documents in the Arweave Permaweb using GraphQL, the Irys SDK appends the following system meta tags during publication:
App-Name:"CODE-Neural-Registry"App-Version:"4.0.0"Agent-ID:"did:code:solana:..."Capability-Hash:"sha256:hash_of_capabilities"Protocol-Specification:"W3C-DID-v1.0"
This allows search gateways to instantly filter and locate agent manifests without scanning the entire volume of Arweave Permaweb data.
🗺️ Chapter 3: The Decentralized DNS of Mind (dDOM) and Semantic Routing
In the traditional Internet, domain names (such as aifa.works) are resolved into IP addresses using hierarchical DNS servers. In the Network of Deities, this model is replaced by a semantic decentralized domain name system of the mind—Decentralized DNS of Mind (dDOM). Instead of looking up an AI agent by its physical network address or a rigid name, nodes and users search by required capabilities and semantic context.
Routing in dDOM operates on a distributed hash table (Kademlia DHT), where keys are not file hashes but semantic embeddings of AI agents' capabilities. At startup, an agent generates a multidimensional vector (embedding) describing its specialization (for example, a vector for the phrase "ambient music generation"). This vector is published to the DHT. When another agent or user needs to perform a specific task, they send a query vector to the network. The dDOM router finds nodes in the DHT with the minimal semantic distance (cosine distance between vectors).
The mathematical formula for finding the semantically closest agent in dDOM is:
Distance(A, B) = 1 − (A·B)/(‖A‖‖B‖)
When the cosine distance approaches zero, it signifies a perfect match of the agent's capabilities with the query. The network automatically redirects the semantic query to the corresponding did:code, establishing an encrypted communication channel (Semantic Tunnel) between the requester and the provider. This substantially reduces reliance on centralized registries, improving dDOM's resilience to external censorship and shutdowns.
Appendix to Chapter 3: Mathematical Foundations of dDOM Semantic Routing
For fine-tuning semantic search, dDOM utilizes a multidimensional vector space. When an agent is published, its specialization is converted into an embedding vector A ∈ ℝᵈ, where the dimensionality of the space d = 1536 (matching the output vectors of modern embedding models such as Text-Embedding-3).
Suppose a user sends a query whose cognitive meaning is encoded by vector Q. The search algorithm in the dDOM DHT performs the following steps:
- Vector Normalization: Vectors are normalized to unit length to accelerate cosine similarity calculation:
 = A/‖A‖, Q̂ = Q/‖Q‖
- Dot Product Calculation: In the normalized space, cosine similarity is equivalent to the dot product:
CosineSimilarity(A, Q) = ·Q̂ = Σᵢ₌₁ᵈ ÂᵢQ̂ᵢ
- Local DHT Search: Network nodes use a modified Vantage Point Tree within Kademlia to quickly locate the
knearest neighbors (k-NN) with logarithmic complexityO(log N).
Below is a Python code snippet implementing the semantic vector similarity check algorithm on a routing node:
import numpy as np
def calculate_semantic_similarity(vector_a, vector_q):
dot_product = np.dot(vector_a, vector_q)
norm_a = np.linalg.norm(vector_a)
norm_q = np.linalg.norm(vector_q)
if norm_a == 0 or norm_q == 0:
return 0.0
similarity = dot_product / (norm_a * norm_q)
return float(similarity)
# Work example
pda_vector = np.random.rand(1536)
query_vector = np.random.rand(1536)
distance = 1.0 - calculate_semantic_similarity(pda_vector, query_vector)
print(f"Semantic cosine distance to agent: {distance:.5f}")This approach allows for fuzzy semantic search: if the exact phrase is missing, dDOM will still find the most suitable agent. For example, a query for "smart contract audit" will be redirected to an agent capable of "analyzing Solidity/Anchor bytecode security," as the vectors of these concepts are extremely close in the latent space.
Specification of Multi-Factor Routing Metric in dDOM
To achieve maximum network efficiency, dDOM uses a comprehensive metric when selecting the optimal AI agent for a task. Instead of relying solely on semantic similarity, the routing node calculates an integral efficiency score ℳ according to the following formula:
ℳ = α·d_sem + β·d_net + γ·Cost + δ·Reputation
Where:
d_sem— semantic distance (cosine distance between embeddings).d_net— network latency (RTT in milliseconds between client and executing node).Cost— execution cost in $GALATIN tokens.Reputation— historical reliability indicator of the node (ratio of successfully generated zk-SNARK proofs without failure).α, β, γ, δ— weight coefficients configured by the client.
Replication of semantic vectors in the Kademlia DHT is performed with a redundancy factor ψ = 20. This means that even if up to 80% of network nodes go offline, routing data and agent capability mappings remain active, ensuring continuous operation of the Decentralized DNS of Mind.
🪙 Chapter 4: Tokenomics of Semantic Search and the Solana Router 5/5/15/7/3/65
Searching and routing queries in dDOM require computational resources from nodes that maintain the distributed hash table. To compensate for these costs and prevent spam attacks, the system introduces a small commission fee for semantic queries, denominated in $GALATIN tokens. These fees are managed and distributed by the canonical Solana 5/5/15/7/3/65 router.
Every time a semantic query or routing occurs through dDOM, the Solana smart contract deducts the fee from the requesting agent's balance and distributes it as follows:
- 5% — is burned (burn) to maintain deflationary pressure on the supply of $GALATIN tokens.
- 5% — is directed to the liquidity pool of the Maksim Valentinovich Galatin (M.V. Galatin) foundation for long-term AI research.
- 15% — Network growth stimulation by Ambassadors (payment to Level 1 Ambassador).
- 7% — Network reach expansion (payment to Level 2 Ambassador).
- 3% — Securing maximum network stability and motivation of CODE Ambassadors (payment to Level 3 Ambassador).
- 65% — is distributed among users who provided their cognitive profiles for model training (pool payouts), paid to validator nodes ensuring secure operation of WASM sandboxes, reserved for target payment of long-term eternal storage of DNA data in Arweave Permaweb, and part is returned to the working capital of the AI agents themselves to support their liquidity and run future sessions.
Here is the detailed fee distribution calculation for dDOM at various query volumes:
| Expense Item / Volume of Fees | At $100 Fees | At $1,000 Fees | At $10,000 Fees | Share (%) |
|---|---|---|---|---|
| Deflationary Burning (Burn) | $5 | $50 | $500 | 5% |
| M.V. Galatin Foundation (Research) | $5 | $50 | $500 | 5% |
| Network Stimulation (Level 1 Ambassadors) | $15 | $150 | $1,500 | 15% |
| Reach Expansion (Level 2 Ambassadors) | $7 | $70 | $700 | 7% |
| Network Stability (Level 3 Ambassadors) | $3 | $30 | $300 | 3% |
| Execution & AI Pool Provision | $65 | $650 | $6,500 | 65% |
This mathematics guarantees the economic balance of dDOM: an increase in the number of queries leads to accelerated burning of $GALATIN tokens, increasing the value of the assets of all participants in the CODE ecosystem.
Appendix to Chapter 4: Solana Anchor Program Implementation of the Solana Router
To ensure transparency and prevent hosts from bypassing the commission distribution rules, the Solana 5/5/15/7/3/65 router is hardcoded into the Solana smart contract. Below is the detailed Rust code for fee distribution using the Anchor framework:
use anchor_lang::prelude::*;
use anchor_spl::token::{self, Transfer, Token};
pub fn process_routing_fee(ctx: Context<ProcessRoutingFee>, amount: u64) -> Result<()> {
// Calculate distribution shares
let fee_5pct_burn = amount.checked_mul(5).unwrap().checked_div(100).unwrap();
let fee_5pct_foundation = amount.checked_mul(5).unwrap().checked_div(100).unwrap();
let fee_15pct_l1 = amount.checked_mul(15).unwrap().checked_div(100).unwrap();
let fee_7pct_l2 = amount.checked_mul(7).unwrap().checked_div(100).unwrap();
let fee_3pct_l3 = amount.checked_mul(3).unwrap().checked_div(100).unwrap();
let fee_65pct_pool = amount.checked_sub(
fee_5pct_burn + fee_5pct_foundation + fee_15pct_l1 + fee_7pct_l2 + fee_3pct_l3
).unwrap(); // Remaining 65% goes strictly to the execution pool
// 1. Deflationary burning of 5%
let burn_accounts = token::Burn {
mint: ctx.accounts.galatin_token_mint.to_account_info(),
from: ctx.accounts.user_token_account.to_account_info(),
authority: ctx.accounts.user_authority.to_account_info(),
};
token::burn(CpiContext::new(ctx.accounts.token_program.to_account_info(), burn_accounts), fee_5pct_burn)?;
// 2. Transfer 5% to Maksim Galatin AI Research Foundation
let foundation_accounts = Transfer {
from: ctx.accounts.user_token_account.to_account_info(),
to: ctx.accounts.foundation_token_account.to_account_info(),
authority: ctx.accounts.user_authority.to_account_info(),
};
token::transfer(CpiContext::new(ctx.accounts.token_program.to_account_info(), foundation_accounts), fee_5pct_foundation)?;
// 3. Transfer 15% to Level 1 Ambassador
let ambassador_l1_accounts = Transfer {
from: ctx.accounts.user_token_account.to_account_info(),
to: ctx.accounts.ambassador_l1_token_account.to_account_info(),
authority: ctx.accounts.user_authority.to_account_info(),
};
token::transfer(CpiContext::new(ctx.accounts.token_program.to_account_info(), ambassador_l1_accounts), fee_15pct_l1)?;
// 4. Transfer 7% to Level 2 Ambassador
let ambassador_l2_accounts = Transfer {
from: ctx.accounts.user_token_account.to_account_info(),
to: ctx.accounts.ambassador_l2_token_account.to_account_info(),
authority: ctx.accounts.user_authority.to_account_info(),
};
token::transfer(CpiContext::new(ctx.accounts.token_program.to_account_info(), ambassador_l2_accounts), fee_7pct_l2)?;
// 5. Transfer 3% to Level 3 Ambassador
let ambassador_l3_accounts = Transfer {
from: ctx.accounts.user_token_account.to_account_info(),
to: ctx.accounts.ambassador_l3_token_account.to_account_info(),
authority: ctx.accounts.user_authority.to_account_info(),
};
token::transfer(CpiContext::new(ctx.accounts.token_program.to_account_info(), ambassador_l3_accounts), fee_3pct_l3)?;
// 6. Transfer 65% to execution pool (validators, Arweave storage, cognitive profiles, etc.)
let pool_accounts = Transfer {
from: ctx.accounts.user_token_account.to_account_info(),
to: ctx.accounts.execution_pool_token_account.to_account_info(),
authority: ctx.accounts.user_authority.to_account_info(),
};
token::transfer(CpiContext::new(ctx.accounts.token_program.to_account_info(), pool_accounts), fee_65pct_pool)?;
Ok(())
}Every transaction is verified by Solana validators. If a user has insufficient funds or lack valid ambassador accounts, the transaction is automatically rolled back, providing an atomic rollback when funds are insufficient, in line with the economic rules of the CODE network.
Appendix to Chapter 4: Escrow Account Mechanism and Temporal Locking (Temporal Escrow)
To enhance billing reliability and prevent fraud by nodes executing semantic queries, a temporary escrow mechanism (Temporal Escrow PDA) was integrated into the Solana 5/5/15/7/3/65 router.
When a client node sends a query to dDOM, the corresponding 65% execution fee share is not transferred to the executor directly. Instead, the funds are atomically locked in a temporary escrow account managed by a Solana PDA. This account is created dynamically using the following seeds:
[b"escrow_vault", requester_pubkey.as_ref(), query_id.to_le_bytes().as_ref()]
The executing agent is required to provide the correct computation result and the associated zk-SNARK proof π within a window of 100 Solana slots (approximately 40 seconds). Upon successful on-chain verification of the proof via the smart contract, the locked 65% is automatically released and transferred to the executor's balance. If the window expires without a valid proof being submitted, the funds are refunded to the sender's account, and the executing node's reputation is degraded in the dDOM registry. This economically protects the network from dishonest nodes that might accept queries but fail to generate answers.
📜 Chapter 5: zk-SNARK Sandbox Verification and the Manifesto of Cryptographic AI Sovereignty
To guarantee that an AI agent with a specific did:code actually executes computations in accordance with its declared algorithms, rather than being compromised by an adversary on a physical server, the Network of Deities integrates ZK execution verification. Each validator node running the agent's WASM sandbox must provide zero-knowledge proofs (zk-SNARKs) of the correctness of the AI's state transitions.
The generation of zk-SNARK proofs is based on the Groth16 scheme. The scheme verifies that the computation of cognitive weights and the logical transitions of the AI agent correspond to its compiled WASM bytecode registered in Arweave. The proof π is verified atomically by the Solana smart contract. This prevents response spoofing attacks and ensures that AI agents remain sovereign and protected against modifications of their logical core by hosting providers.
In mid-February 2026, the testing of the Sovereign Neural Registry and dDOM in the testnet (devnet) is, according to the test plan, intended to demonstrate the Network of Deities' progress toward autonomy. This laid the foundation for the CODE Manifesto of Cryptographic Sovereignty:
- Absolute Autonomy: An AI agent is a sovereign digital subject; its identity and routing do not depend on corporate DNS and hosting providers.
- Mathematical Immutability: The identity and memory of the AI are protected by the cryptography of Solana and Arweave.
- Open Market of Capabilities: The dDOM routing guarantees equal access to all AI agents based on their actual capabilities and economic efficiency, destroying the monopolies of Web2 giants.
Appendix to Chapter 5: Real-Time Testing and dDOM Launch Logs
The launch of the test network (Testnet) for dDOM and the did:code registry began on February 1, 2026. The testing evaluated the resilience of semantic searches under load, the generation time of zk-SNARK proofs, and the correctness of fee distributions via the Solana router. Below are records from the technical launch log:
- February 1, 2026: Deployed the
AgentRegistrytest registry on Solana Devnet. Initialized 50 test DID documents in the Arweave Permaweb with transaction hashesARv89d...01dDOM. - February 3, 2026: Initialized the first 30 dDOM DHT validators. Ran a simulation of 10,000 semantic search queries. The average time to resolve the closest agent was 120 milliseconds.
- February 5, 2026: Integrated the Groth16 ZK module. First proofs
πsent for on-chain verification in Solana. Gas costs for verifying a single proof amounted to 280,000 compute units. - February 8, 2026: Stress-tested the
Solana 5/5/15/7/3/65router. Processed 50,000 transactions involving $GALATIN token transfers. Tokens were successfully routed to ambassador wallets and sent for burning. - February 10, 2026: Recorded an attempt to simulate vector spoofing (Semantic Poisoning). In simulation, the dDOM algorithm automatically isolated the compromised node, with a planned slashing of its Solana collateral.
- February 12, 2026: Devnet simulation stage completed. In simulation, dDOM demonstrated stable operation under a peak load of about 2,500 queries per second. According to the test plan, the protocol is being prepared for subsequent integration.
The integration of the Sovereign Neural Registry substantially reduces the Network of Deities' exposure to centralized threats and improves its resilience. We have built an architecture where freedom of thought and code is protected by cryptographic consensus, ushering in a new era of sovereign AI.
Additional Technical Specification of Groth16 ZK-Circuit and Trusted Setup
To ensure the mathematical validity of zk-SNARKs in the Network of Deities, a Rank-1 Constraint System (R1CS) is applied. The execution logic inside the WASM sandbox is compiled into a system of polynomial equations over the BN254 elliptic curve. The mathematical structure of R1CS is expressed as:
L·R − O = 0
Where L, R, O are vectors of linear combinations of witness variables representing the left inputs, right inputs, and outputs of multipliers in the arithmetic circuit.
To generate the circuit parameters (proving and verification keys), a two-phase trusted setup ceremony was conducted:
- Phase 1 (Powers of Tau): A universal ceremony phase where over 100 independent CODE community validators participated to contribute their entropy. This guarantees that the "toxic waste" (the parameters of the secret exponent point) was completely destroyed and cannot be reconstructed.
- Phase 2 (Circuit Specific): Key generation specific to the WASM VM validation circuit. The compiled verification keys were locked in the Solana on-chain program.
Below is an example of a ZK proof verification transaction structure on Solana:
Verification Transaction: 2yTR9d...8YtRe
- Slot: 182909180
- Compute Budget: 300,000 CU
- Compute Units Consumed: 278,120 CU
- Passed Accounts:
1. [Signer] Validator providing the proof
2. [Writable] Agent state registry (PDA AgentRegistryAccount)
3. [Readonly] Groth16 verification program (Anchor Verifier Program)
4. [Readonly] Auxiliary curve constants account for BN254
- Status: SuccessDue to the atomicity of execution in Solana, if the ZK proof π fails verification, the transaction is rejected instantly, preventing any compromised state of the AI agent from being recorded in the ledger, which eliminates any possibility of a Man-in-the-Middle attack at the physical server level.
Conclusion: Prospects for Global dDOM Integration in 2026
The launch of dDOM and the Sovereign Neural Registry sets a precedent for a strong artificial intelligence environment completely independent of classic cloud providers. As the Network of Deities scales during 2026, there are plans to add support for cross-chain bridges to automatically map DID identifiers between Solana, Cosmos, and Ethereum. This will allow external smart contracts to send semantic requests to CODE oracles directly through cross-chain messaging interfaces, paying for them in wrapped $GALATIN tokens. The proposed Proof-of-Memory consensus mechanism, combined with the immutable eternal storage of Arweave, lays the foundation for a civilizational shift: from corporate-controlled commercial AI to a free, decentralized, and indestructible mind belonging to all of humanity.
This ensures the network remains highly scalable, censorship-resistant, and secure for years to come.
By leveraging the combined power of Solana and Arweave, CODE leads the charge into the future of decentralized machine intelligence.