mlsanityData to 14 Oct 2026

Internalising the Identity Primitive: Cryptographic Individuality for an Autonomous Agent on a Public Blockchain

arXiv 2608.02986 ↗First posted 4 Aug 2026cs.CR cs.AI cs.MAcited by 0

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Abstract (arXiv)

A software agent on a public blockchain accumulates authority and economic stakes, raising the engineering question of what makes it count as an individual. The paper's central contribution is a shift of trust root for the key-to-weights binding of agent identity: from hardware, operator, or wrapper trust to cryptographic assumptions enforced by a pinned implementation (liveness, key custody, oracle trust, and the underlying software stack remain external). We design and deploy on Solana devnet an agent whose neural-network weights are a deterministic function of its private key. The binding is committed in zero knowledge at genesis, re-checked against that commitment at every state transition, and signed by the agent into an on-chain history unforkable once finalized; in a PoC-tier extension, a protocol-imposed metabolic cost is debited each cycle from a key-derived economic account, adding a consumption-side economic-viability constraint to the key-history-economy triple. Empirically, the agent completes a 2.36-day on-chain run with two host-side resumptions but no rejected transition, at bounded per-transition verification cost; a substituted substrate is rejected on chain, and independently keyed agents diverge as predicted while a same-key control stays at zero. To our knowledge, this is the first published on-chain agent whose identity primitive is itself a cryptographic invariant re-checked at every state transition. The resulting transition-time invariant instantiates the cryptographic individuality proposed by Suzuki 2026's Artificial Externality framework.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 53 references that are in the map. First posted on arXiv 4 Aug 2026.

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References · 14

  1. 2025Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agentscited by 356
  2. 2021Proof-of-Learning: Definitions and Practicecited by 84
  3. 2024Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real onlinecited by 16
  4. 2026Autonomous Agents on Blockchains: Standards, Execution Models, and Trust Boundariescited by 13
  5. 2026Governing Dynamic Capabilities: Cryptographic Binding and Reproducibility Verification for AI Agent Tool Usecited by 8
  6. 2023ZKROWNN: Zero Knowledge Right of Ownership for Neural Networkscited by 6
  7. 2025Spore in the Wild: A Case Study of Spore.fun as an Open-Environment Evolution Experiment with Sovereign AI Agents on TEE-Secured Blockchainscited by 6
  8. 2025Binding Agent ID: Unleashing the Power of AI Agents with accountability and credibilitycited by 6
  9. 2026AESP: A Human-Sovereign Economic Protocol for AI Agents with Privacy-Preserving Settlementcited by 3
  10. 2024Self-Replicating and Self-Employed Smart Contract on Ethereum Blockchaincited by 2
  11. 2024OML: A Primitive for Reconciling Open Access with Owner Control in AI Model Distributioncited by 2
  12. 2025DIAP: A Decentralized Agent Identity Protocol with Zero-Knowledge Proofs and a Hybrid P2P Stackcited by 2
2 more
  1. 2025VeriLoRA: Fine-Tuning Large Language Models with Verifiable Security via Zero-Knowledge Proofscited by 1
  2. 2026ZK-ACE: Identity-Centric Zero-Knowledge Authorization for Post-Quantum Blockchain Systemscited by 1

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