据 Coinglass 数据监测，6 月 29 日 22:54 有一笔 2 亿 USDT 从未知钱包转入 Binance。此次大额充币可能对市场流动性产生影响，需关注后续资金动向。

Blockchain analytics firm Chainalysis has released a new methodological proposal aimed at establishing a unified on-chain fund tracing standard for law enforcement agencies. The proposal uses an “ontology” framework to systematically decompose the concept of address clustering into wallet segments and functional roles, describing on-chain relationships through a two-layer structure: transaction graph topology and confidence assessment. Validated through U.S. Department of Justice cases including the Bitcoin Fog mixer service, the framework emphasizes that on-chain analysis alone cannot identify end users and must be combined with centralized exchange investigations. The proposal is now open for industry discussion, potentially driving standardization in on-chain forensics for regulatory compliance.

Blockchain analytics firm Chainalysis released a standardization proposal for blockchain tracing, centered on the 'cluster' concept with a two-level attribution structure: first defining a structural graph, then assessing its confidence. The framework draws on the Bitcoin Fog case where a US court validated Chainalysis’ Reactor tool. However, the firm admits it can only trace funds to custodial entities like exchanges, not to individual identities, requiring further law enforcement action.

Blockchain analytics firm Chainalysis released a standardization proposal on Monday aimed at unifying transaction tracking and address clustering for investigators. The framework centers on the concept of 'clusters,' decomposed into finer units like wallet fragments, and introduces a two-layer attribution structure: the first layer defines a structural graph, and the second layer assesses confidence. This addresses the challenge of linking addresses to entities without access to private keys. The proposal draws from the U.S. Department of Justice's case against Bitcoin Fog co-founder Roman Sterlingov, where a judge ruled Chainalysis's evidence sufficiently reliable. However, the method has limitations: it can trace funds only to custodial entities such as exchanges, not to individual users, requiring additional subpoenas or court orders for final identification.

Blockchain analytics firm Chainalysis on Monday released a standardization proposal for blockchain tracing, centered on the concept of 'clusters' and a two-tier attribution structure. The methodology aims to provide law enforcement and prosecutors with data reliability guarantees. The framework draws lessons from the U.S. Department of Justice's case against Bitcoin Fog co-founder Roman Sterlingov, where Chainalysis' Reactor tool's reliability was upheld in court. However, the company acknowledges inherent limitations: it can only trace funds to custodial entities like exchanges, not directly to underlying user identities—requiring subsequent subpoenas or other legal measures for full identification.

Blockchain analytics firm Chainalysis released a standardization proposal for blockchain tracing on Monday, aiming to provide investigators with a unified framework for clustering addresses and tracing transactions. The approach centers on the concept of 'clusters,' broken down into finer units like wallet fragments, and introduces a two-layer attribution structure: the first layer constructs a structural graph, while the second assesses the graph's confidence level. The proposal draws on the U.S. Department of Justice's case against Bitcoin Fog co-founder Roman Sterlingov, where a judge confirmed the reliability of Chainalysis’s Reactor tool. However, Chainalysis acknowledges its limitations: tracing can only reach custodial entities like exchanges, not specific user identities, requiring law enforcement to subpoena further details.

Blockchain analytics firm Chainalysis has released a proposed standardization framework for blockchain tracing, aimed at providing law enforcement and prosecutors with uniform methods for clustering addresses and tracking transactions. The framework, detailed by Chief Scientist Jacob Illum, introduces a two-tier attribution structure with 'wallet fragments' as minimal units: the first tier defines a structural graph, and the second assesses confidence levels. The framework was shaped by lessons from the U.S. DOJ case against Bitcoin Fog co-founder Roman Sterlingov, where Chainalysis' Reactor tool was scrutinized but ultimately deemed reliable. Despite its advancements, Chainalysis acknowledges that its analysis can only trace funds to custodial entities like exchanges, not directly to individuals, requiring subpoenas and additional steps for full identification.

区块链分析公司 Chainalysis 于本周一发布区块链追踪标准化方案，围绕“集群”概念提出两层归因结构：第一层定义结构性图谱，第二层评估置信度。该方案参考了美国司法部对 Bitcoin Fog 联合创始人 Roman Sterlingov 一案的司法经验，法院此前已裁定 Chainalysis Reactor 工具的方法具备充分证据支持。方案同时指出，调查人员无法直接获取私钥，只能通过链上数据判断地址是否由同一实体控制，且追踪只能止步于交易所等托管实体，后续需执法机构通过传票进一步核实。此举旨在为执法和检察人员提供数据可用性保证，推动加密犯罪调查走向标准化。