Unverified50% confidenceFactExact time
REA covers three main classes of analysis targets: binary files (file header parsing, string extraction, structure overview), Electron applications (unpacking asar archives, inspecting main/renderer process code), and APK (extraction of DEX files, resource manifests, and permission declarations).
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/14/2026
First Seen
Valid until: 1/12/2027
Sources
Related Entities
Related Claims
UnverifiedDITA 将文档分解为概念(Concept)、任务(Task)和参考(Reference)三种基本主题类型,通过地图(Map)文件组装成完整手册67% similarUnverifiedEvery analysis result from REA carries provenance information, including a file digest, byte ranges, JSON pointers into the capture, and a list of things the analysis could not determine.67% similarVerifiedThe core process of Retrieval-Augmented Generation (RAG) consists of three steps: chunking and vectorizing knowledge base documents for storage, retrieving the most semantically relevant segments, and injecting those segments as context into the LLM prompt.66% similarUnverifiedSoftware consists of three parts: programs, data, and documentation.66% similarUnverifiedOpenSpec使用DAG(有向无环图)产物依赖图机制,依次产出Proposal、Specs、Design、Tasks四份需求文件64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1028922API
curl https://kongchang.com/api/v1/knowledge/claims/1028922MCP
get_claim(id=1028922)