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TWBG_Materials/文档润色流和知识库构建流/claude-scholar-upstream/skills/expression-skill/examples/research-discussion.md
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# Example: Research Discussion
```text
结论:这个 idea 值得保留,但现在不能直接写成 main contribution它更像一个需要额外证据支撑的 mechanism claim。
原因:
- 主张是 "multi-scale augmentation improves small-object detection because it helps the model preserve fine-grained texture cues"。
- 当前最弱的一环是 because还缺少能证明 texture-cue preservation 的机制证据。
建议:
- P0先做 feature-map visualization 或 error-type breakdown验证 small-object recall 的提升来自哪里。
- P1再把 augmentation result 放进 method。
- P2最后再考虑更大的 architecture story不要现在就把 auxiliary module 写成主线。
```