The paper defines proposal P as containing 5 sections: background, related work, method, experiment plan, and expected results. We extend this with a 6th practical section (risks and mitigations).
1. Background: Define the exact problem — inputs, outputs, constraints, and why existing solutions are insufficient. Be specific: "LLM inference on edge devices with <2GB memory while maintaining >90% of full-model accuracy" is a background statement; "make LLMs faster" is not. Include context and motivation.
2. Related Work: Position the idea within the existing literature. What has been tried? What are the gaps? This should draw on the literature L retrieved during Phase 1 tree generation.
3. Proposed Method: Describe the technical approach at a level of detail sufficient for implementation. Include the key insight that differentiates this from prior work. State assumptions explicitly. List 3 testable contributions.
4. Experiment Plan: Datasets, baselines, metrics, and ablation design. This should align with what
Stage 4 will need. Include both quantitative metrics and qualitative evaluation where appropriate.
5. Expected Results: Quantitative targets (e.g., "15-20% latency reduction with <2% accuracy loss") and qualitative expectations. Being specific about expected results forces you to think about whether the idea is realistic.
6. Risks and Mitigations (practical extension): Technical risks that could prevent success, and fallback plans for each. A proposal without risks is either dishonest or insufficiently analyzed. This section is not in the paper but is valuable for practical research planning.
See references/proposal-extension.md for detailed guidance on each section.
本文定义提案P包含5个部分：背景、相关工作、方法、实验计划、预期结果。我们额外增加了第6个实用部分（风险与缓解措施）。
1. 背景：明确定义问题——输入、输出、约束，以及现有解决方案的不足。表述要具体：“在内存<2GB的边缘设备上运行LLM推理，同时保持>90%的全模型精度”是合格的背景陈述；“让LLM更快”则不是。需包含背景信息和动机。
2. 相关工作：将想法定位在现有文献中。已尝试过哪些方法？存在哪些空白？这部分应基于第一阶段树生成时检索到的文献L。
3. 拟议方法：描述技术方案，详细程度需足以支持实现。包含与先前工作的关键差异点。明确说明假设。列出3个可测试的贡献。
4. 实验计划：数据集、基线、指标和消融实验设计。这部分应与
第4阶段的需求对齐。适当时同时包含定量指标和定性评估。
5. 预期结果：定量目标（例如，“延迟降低15-20%，精度损失<2%”）和定性预期。明确预期结果可促使你思考该想法是否现实。
6. 风险与缓解措施（实用扩展部分）：可能阻碍成功的技术风险，以及每个风险的备选方案。没有风险的提案要么不诚实，要么分析不充分。本文未包含此部分，但它对实际研究规划很有价值。
每个部分的详细指导请参阅references/proposal-extension.md。