Paper River Research Tracer
Traces and explains the intellectual lineage and problem evolution of academic papers through recursive citation analysis and Feynman-style storytelling.
The Paper River skill implements a specialized 'reverse reading' methodology to help researchers and developers grasp the deep context of scientific papers. It recursively identifies the preceding works a paper criticizes or improves upon—up to five layers deep—and then tracks subsequent advancements to construct a cohesive narrative of problem evolution. Instead of providing dry summaries, it uses a Feynman-style approach to explain why specific solutions emerged and how the research landscape shifted over time, outputting structured Org-mode notes complete with ASCII lineage maps.
Características Principales
01Problem-centric storytelling that explains the 'why' behind technical shifts
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03Recursive backward tracing of up to five layers of foundational research and criticism
04Automatic generation of ASCII-based citation maps and problem-solution diagrams
05Forward progress tracking to identify recent breakthroughs building on a target paper
06Standardized Org-mode output with Denote-compatible file naming and metadata
Casos de Uso
01Conducting deep literature reviews by mapping the genealogy of a specific research problem
02Quickly understanding the historical context and motivation behind a new AI architecture or algorithm
03Onboarding onto complex technical domains by tracing foundations to current state-of-the-art