GovernanceCrypto
Multi-dimensional decentralization metrics, and an open question on first-broadcast double-spend rules
Publication: Ethereum Research - Latest topics
Author: saintthor
Source published: 12/11/2026, 08:16:17 UTC
Briefing created: 12/11/2026, 08:47:07 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 12/11/2026, 08:28:26 UTC.
Briefings
A new open-source skill called Atomic Ownership Blockchains (AOB) enables LLM agents to analyze blockchain architectures across multiple independent dimensions, including node concentration, stake distribution, and consensus dependency. The core finding is AOB's double-spend rule, where each atomic object has its own chain, ensuring that any fork is direct evidence of double-signing and that the first broadcast wins, with a third party accepting after 2*t0 and a recipient after 4*t0. Validation is limited to one paper, demos, and a testnet with no mainnet deployment or independent audit.
Key points
- AOB is an open-source skill (SKILL.md format, Apache-2.0) that allows LLM agents to analyze blockchain architectures on several independent dimensions instead of relying on a single number like the Nakamoto coefficient.
- AOB's double-spend rule ensures that each atomic object has its own chain, making any fork direct evidence of double-signing, with the first broadcast winning and a third party accepting after 2*t0.
Context
This repo covers Atomic Ownership Blockchains (AOB), an open-source skill for analyzing blockchain architectures on several independent dimensions. It compares PoW, PoS, DAG, and sharded designs, reporting each design's validation level separately from its architecture. The skill treats the Nakamoto coefficient as one input per subsystem rather than a ranking, addressing the limitations of single-subsystem snapshots.
Limitations
Validation is limited to one paper, demos, and a testnet with no mainnet deployment or independent audit. The estimated broadcast time t0 is a theoretical estimate, and the article does not provide a realistic adversarial latency model or quantify how wrong the t0 estimate could be before the 2*t0 rule fails.
Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 12/11/2026, 08:47:07 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.
View archived briefing on IPFS
bafybeihemcwwy5jrfu2ym35xhhk4xy2ca75llhfx5mvqeyfwq2nnu4lkdi