RT @patagucci_girl: introducing erc-7946: uwulink, a protocol for unidirectional dapp -> wallet communication ✨. uwulink is method that all….

RT @ddisparte: The Senate’s passage of the GENIUS Act marks a historic moment for the future of money. We commend Senators on both sides of….

RT @ProSyn: We are proud to introduce @GordonLiao, Chief Economist and Head of Research at @Circle, as part of our Forward Thinkers list.….

RT @jerallaire: I am incredibly proud and thrilled to share that @circle is now a public company listed on the New York Stock Exchange unde….

RT @circle: Circle is now officially a public company, listed on the @NYSE under $CRCL. With @USDC, EURC, Circle Payments Network & more,….

RT @jerallaire: Compelling.

Key takeaway: Transaction proximity provides actionable data without restricting access or reducing privacy. It's about giving protocols information to mitigate risks while preserving open blockchains. Blog:. Paper:.9/9.

How do you scale this to millions of wallets?. We show a proof-of-concept: EAI tags embedded in ERC-20 balance storage via bitmapping. Auto-tags wallets receiving from exchanges in real-time. Live fraud prevention, minimum infra changes.8/.

Implementation matters. We tested 3 approaches:. 1. On-chain registry/address list: Fast checks, realtime.2. Off-chain + signatures: Cheap storage, centralization.3. Merkle trees: Balanced, but complex implementation. Each has tradeoffs in timeliness, costs, and complexity. 7/.

These patterns allow protocols to implement smart, risk-based approaches:. Enhanced monitoring for distant wallets.Risk-adjusted payout rates.Tiered access to features.Reputation systems. Each protocol chooses what fits their security needs without restricting access. 6/.

Now here's the kicker: We analyzed 431 known exploiter addresses from recent hacks. Results:. 83% are NOT EAIs.21% are >5 hops from ANY exchange. Bad actors naturally avoid traceable parts of the ecosystem - creating a separating equilibrium from legitimate users. 5/

The data is striking 📊. Large wallets: 56% are EAIs, 88% within one hop.Large transfers: 91% involve an EAI, 98% within one hop. Pattern holds across all sizes and biased downward (conservative estimates) in our methodology- this isn't niche, this IS the ecosystem. 4/

Our approach: "Transaction Proximity" - measuring how close wallets are to centralized exchanges. We define "Easily Attainable Identities" (EAIs):. Exchange wallets themselves.Wallets that received funds directly from exchanges.3/

The problem with current approaches:. Blocklisting = reactive, slow, often too late.Universal identity requirements = privacy concerns, adoption barriers. But what if we could leverage existing network patterns? We analyzed 206M Ethereum wallets to test this hypothesis. 2/.

🧵 New paper: "Transaction Proximity: A Graph-Based Approach to Blockchain Fraud Prevention" . Blockchain exploits have cost billions in losses a year, and current solutions are broken. We propose a middle ground solution that shows strong empirical promise👇. 1/

RT @chandhok: Circle Payments Network (CPN) is now live and orchestrating real stablecoin flows across MX, BR, HK, and more. Congrats and t….

Our paper is here

Register to join virtually here:.

Looking forward to presenting our work on "Risk-based Capital for Stable Value Tokens" at the Federal Reserve Bank of New York and Federal Reserve Bank of Boston conference on stablecoins and tokenization this Friday

Querying blockchain data and wallet profiles should be as easy as chatting with a chatbot. Now it is👇.