Research / AI Research Paper
arXiv paper on a cache-merging method for multi-agent latent reasoning, framing KV-cache composition as a convergent replicated state with deterministic merging.
The page clearly presents a real AI research paper with a specific method, benchmark claims, and enough abstract-level detail to support a useful directory listing. It is relevant to AI builders working on multi-agent reasoning and cache-level inference techniques.
This is only an abstract page, so visitors cannot see the full method, code, implementation details, or reproducibility assets from the crawl snapshot.
Last evaluated 14 days ago. Current rank #1061. Down 1 spot in the rankings.
An interactive dashboard that analyzes New York Times coverage since 2000 using the NYT Archive API, with views for reporters, beats, sections, subjects, geography, obituaries, and corrections.
An open benchmark and leaderboard for AI CAD agents, with 308 prompts across 20 categories and layered scoring for geometry, engineering, manufacturability, and cognition.
A research article from Applied Compute on how agentic, tool-using workloads differ from traditional LLM benchmarks, with production observations, workload profiles, and an open-source harness for replaying traces.
UnderstandDocs is a document analysis tool that summarizes pasted text or uploaded files, flags risks, extracts important dates, and simplifies dense language. The page shows a working analysis form, supported file types, a privacy/no-storage claim, and an example output for a tenancy agreement.
