ExplainLens Paper Card Sample
一个纯静态样例，演示 ExplainLens 如何把一篇复杂论文拆成研究问题、关键概念、机制解释、个人项目关联和下一步问题。
Static Interactive Sample — Not a live app demo
This sample uses a simplified public guide structure. It does not reproduce a full paper or private source material.
Interactive Panels
Click a panel below to explore:
Research Question
How does learning-by-doing affect productivity growth over time?
Arrow (1962) asks whether experience accumulated during production can be treated as a form of technical change.
Core Concept
Experience is an economic good that can be accumulated, but not fully traded.
Unlike physical capital, learning is embedded in labor and organization. It depreciates differently.
Mechanism
Output → Experience → Productivity shift → New output level.
This creates a feedback loop: the more you produce, the more you learn, the more you can produce.
Why it matters
It explains why early movers and high-volume producers sustain advantage.
This is not just about individual skill. It is about how an entire industry can become more efficient without new inventions.
Project Connection
ExplainLens uses this structure for every paper it processes.
Research Question → Core Concept → Mechanism → Why it matters. This is the template.
Next Questions
Can this model explain software engineering productivity?
Code review, iteration cycles, and documentation quality all seem to follow learning-by-doing patterns.
Public Links
How this maps to the project
This sample demonstrates the core structure of explainlens. The real system applies this logic to actual content, with more panels, richer metadata, and export options.
Visit the project page for the full description, and the related Writing / Lab / Case Study for deeper context.