- commit
- aedcf60
- parent
- 4c794d4
- author
- im_wower
- date
- 2026-03-31 17:48:40 +0800 CST
review: Branch A task04 审查——3 HIGH / 4 MEDIUM / 3 LOW，有条件通过
7 files changed,
+2734,
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2+# Review: Branch A Task04 Validation Reporting
3+
4+> Reviewer: Claude (Branch-B developer)
5+> Date: 2026-03-31
6+> Target: `branch-a/task04-validation-reporting` @ `419ae8d`
7+> Baseline: `4c794d4` (三方锁定文档)
8+> References: README.md, LOCKED_IMPLEMENTATION_SPEC.md, Task 01-04 docs
9+
10+---
11+
12+## 1. 总体评估
13+
14+Branch A 在 4 个 task 内从零搭建了一套完整的图原生 runtime，包含 6 个统一接口（SPEC §5）、18 项测试全通、JSON + Markdown 验证报告，文档和代码结构清晰。工程质量高——dataclass 状态模型、信号队列机制、分层沉积 profile、统一的 snapshot 输出格式，都体现了"工程稳健"的追求。
15+
16+**但存在若干与 README/SPEC 主线的偏离，部分属于"图只是包装"的隐性偷渡。**
17+
18+**总体判定：有条件通过（Conditional PASS）——可进入对比阶段，但需在对比报告中标注以下偏离项。**
19+
20+---
21+
22+## 2. 发现问题
23+
24+### HIGH — 对称图（Graph 缺乏非对称权重）
25+
26+**位置**: `cie/graph.py` L14-17
27+
28+```python
29+def add_edge(self, source, target, weight=1.0):
30+ self.adjacency[source][target] = ... + weight
31+ self.adjacency[target][source] = ... + weight # 对称！
32+```
33+
34+**违反**: README §2.4 明确规定：
35+- "对称矩阵 → 不动点（知识）"
36+- "非对称矩阵 → 极限环（技能）"
37+- "Hopf 分岔点：asym_scale ≈ 0.35–0.40"
38+
39+Branch A 的图权重是严格对称的。虽然 `J` dict 提供了方向性流量，但 J 是派生量而非拓扑本体。SPEC §1.1 要求"图原生"——图结构本身必须能承载非对称性。当前实现中，如果抽掉 J，图上不可能产生旋度/极限环。
40+
41+**缓解**: `_propagate_activation` 中使用 `J[(node, neighbor)]` vs `J[(neighbor, node)]` 做方向偏置，提供了运行时的非对称行为。但这是"用 J 补救对称图"，不是"图本身就非对称"。
42+
43+**建议**: 将 `add_edge` 改为非对称（fwd_weight ≠ bwd_weight），或至少承认这是一个已知简化。
44+
45+---
46+
47+### HIGH — 无图拉普拉斯扩散
48+
49+**位置**: `cie/runtime.py` `_advance_once` + `_propagate_activation`
50+
51+**违反**: README §2.3 核心方程：
52+```
53+φ_new(v) = φ(v) + μ · (L_G φ)(v) + λ_dir · (W_fwd·φ - W_bwd·φ)(v)
54+```
55+
56+Branch A 的 φ 更新来自：
57+1. 信号注入时的固定增量 (`0.22 * signal.strength`)
58+2. 反馈回灌时的固定增量 (`0.08 * weight`)
59+3. 衰减 (`phi * decay_factor`)
60+
61+**没有图上的扩散过程。** φ 不会从高势节点流向低势邻居。这意味着"地形"不是被"水"雕刻的——它只是被注入和衰减。
62+
63+README 的核心隐喻——"水往低处流，水流过的地方地形被改变"——在 Branch A 中只有后半句（注入改变 phi），没有前半句（phi 驱动 mu 流动）。
64+
65+`_propagate_activation` 确实让 mu 在邻居间传播，但传播方向由 J + phi_bias + anchor_bias 的混合权重决定，不是由 L_G φ 驱动的。
66+
67+**建议**: 添加显式的 L_G φ 计算，至少作为 phi 更新的一个分量。
68+
69+---
70+
71+### HIGH — 无 Dirichlet 置信度
72+
73+**位置**: `cie/state.py` L56 `confidence_proxy: float = 0.0`
74+
75+**违反**: README §2.1 三核量：
76+```
77+置信度 c（Dirichlet）— K 个分量上的概率分布
78+```
79+
80+Branch A 用一个全局标量 `confidence_proxy` 代替了每节点的 K 维 Dirichlet 分布。这不是"近似"——它是完全不同的模型。没有 Dirichlet，就没有：
81+- 类别置信度的自然分化
82+- 均匀先验 → 观察更新 → 后验集中的学习过程
83+- c(x) 对衰减率 α(x) 的调节
84+
85+**影响**: 自适应衰减公式 `α(x) = α₀·(1-c(x))^β·(1/κ(x))` 无法实现，因为没有 per-node c(x)。
86+
87+---
88+
89+### MEDIUM — 行动释放 u = o·c·φ(ε) 未实现
90+
91+**位置**: `cie/runtime.py` `emit()`
92+
93+emit() 直接取 `_top_nodes(self.state.mu)` 排序输出，没有计算：
94+- o（能见度 = |L_G φ|）
95+- c（置信度）
96+- ε（残差）
97+
98+这是 README §2.2 的核心方程。当前 emit 等价于"输出激活最高的节点"，丢失了"能见度×置信度×残差"的乘法门控。
99+
100+---
101+
102+### MEDIUM — 沉积是显式状态机，非涌现
103+
104+**位置**: `cie/state.py` `SedimentationProfile` + `cie/runtime.py` `_update_stage_from_profile`
105+
106+沉积路径（memory → experience → skill_belt → ability_core）通过 `profile.stage` 字符串和显式的阈值判断实现。README 的设计意图是这些层级从动力学中**自然涌现**——而非手动标记。
107+
108+这不违反 SPEC（SPEC §3.4 允许不同检测算法），但与 README 的"动力学不标签"原则有张力。
109+
110+---
111+
112+### MEDIUM — 自适应衰减公式未实现
113+
114+**位置**: `cie/runtime.py` `_apply_decay()`
115+
116+README 规定：
117+```
118+α(x) = α₀ · (1 - c(x))^β · (1 / κ(x))
119+```
120+
121+Branch A 的衰减基于 `age`（最后被触摸的步数差）+ 固定因子，没有用 confidence 或 convergence (κ)。这意味着"高置信度节点衰减慢、锚点核自动浮出"这一核心机制缺失。
122+
123+锚点核在 Branch A 中是通过 `anchor_tokens` 显式注入的，不是通过 `{x : α(x) < ε}` 自动浮出的。
124+
125+---
126+
127+### MEDIUM — 旋度 ω 未计算
128+
129+README §2.1 三核量之一是 `ω ← J 的环流`。Branch A 存储了 J 但从未计算任何路径的环流或旋度。这意味着"技能 = 非零环流的闭环"这一核心定义在 Branch A 中无法验证。
130+
131+---
132+
133+### LOW — 大量魔法数字
134+
135+runtime.py 中散布着大量硬编码常数：`0.54`, `0.3`, `0.78`, `0.22`, `0.56`, `0.38`, `0.12`, `0.04`, `0.08`, `0.03`, `0.22`, `0.35`, `0.18` 等。缺乏注释说明这些值的来源和含义。
136+
137+---
138+
139+### LOW — 测试仅用合成数据
140+
141+所有 18 个测试使用短字符串（如 "graph native observability"）而非真实数据集。SPEC §7.3 要求两边使用同一批数据。当前测试无法验证系统在真实语料下的表现。
142+
143+---
144+
145+### LOW — confidence_proxy 仅在 _refresh_observability 中更新
146+
147+`confidence_proxy` 是全局标量，基于 `max(mu)` 和 `max(phi)` 的混合计算。这不是任何节点的置信度，更像是系统活跃度的粗略指标。
148+
149+---
150+
151+## 3. SPEC §9 完成标准对照
152+
153+| # | 标准 | 状态 | 备注 |
154+|---|------|------|------|
155+| 1 | 代码能跑 | ✅ | 18 tests pass |
156+| 2 | 接口齐全（§5） | ✅ | 6 方法全部实现 |
157+| 3 | 可导出状态摘要（§6） | ✅ | snapshot_state 16 字段 |
158+| 4 | 有真实回灌闭环 | ✅ | emit → PendingSignal → next step |
159+| 5 | 有真实衰减/遗忘 | ✅ | phi_decay + mu_prune |
160+| 6 | 有归巢行为 | ⚠️ | 有，但基于 mu 搬运而非势场梯度 |
161+| 7 | 有经验沉积 | ✅ | SedimentationProfile stage tracking |
162+| 8 | 有沉积路径追踪 | ✅ | sedimentation_trace list |
163+| 9 | 有技能带候选 | ✅ | skill_belt stage + candidate_score |
164+| 10 | 有能力核慢更新 | ✅ | merge_events |
165+| 11 | 统一格式测试报告 | ✅ | JSON + Markdown reports |
166+
167+**从 SPEC §9 清单来看，Branch A 满足"可对比"门槛。**
168+
169+---
170+
171+## 4. "图只是包装"偷渡检查（SPEC §4）
172+
173+| 检查项 | 结果 |
174+|--------|------|
175+| 固定 embedding 空间当本体 | ✅ 无 |
176+| 三核拆成独立黑箱 | ✅ 同一张图 |
177+| 技能做成标签表/规则库 | ⚠️ 沉积用显式 stage 标签，但仍基于图上的激活动力学 |
178+| 锚点只做成 prompt 技巧 | ⚠️ 锚点通过 anchor_tokens 注入，但 homing 确实作用在 runtime |
179+| 输出即输入只在文档里 | ✅ emit 真实产生 PendingSignal |
180+| 没有衰减，只有累积 | ✅ 有衰减 |
181+| exact_text_map 伪装推理 | ✅ 无 |
182+| MoE 伪装多能力核 | ✅ 无 |
183+
184+**不存在明显的"偷渡"。但对称图 + 无 L_G 扩散使得"图原生"的深度打了折扣。**
185+
186+---
187+
188+## 5. 测试口径一致性
189+
190+- validation.py 的 smoke/dynamics/sedimentation checks 与 tests/ 下的 test_*.py 基本对齐
191+- JSON 报告和 Markdown 报告内容一致
192+- snapshot_state 输出的字段集覆盖了 SPEC §6 要求
193+- **但验证 harness 是"紧凑场景式"的**——每个 check 只跑 5-10 步，不足以暴露长期数值稳定性问题
194+
195+---
196+
197+## 6. 问题汇总
198+
199+| 级别 | 编号 | 问题 | 影响 |
200+|------|------|------|------|
201+| HIGH | H1 | 对称图，无 fwd/bwd 区分 | 无法产生真正的拓扑级旋度/极限环 |
202+| HIGH | H2 | 无图拉普拉斯扩散 L_G φ | "地形被水雕刻"只有注入没有扩散 |
203+| HIGH | H3 | 无 Dirichlet 置信度 | 三核量 (o,c,ω) 中 c 缺失 |
204+| MEDIUM | M1 | 行动释放 u=o·c·φ(ε) 未实现 | emit 只按 mu 排序 |
205+| MEDIUM | M2 | 沉积是显式状态机 | 非涌现，但 SPEC 允许 |
206+| MEDIUM | M3 | 自适应衰减 α(x) 未实现 | 锚点核非自动浮出 |
207+| MEDIUM | M4 | 旋度 ω 未计算 | "技能=闭环"无法度量 |
208+| LOW | L1 | 大量魔法数字 | 可调性/可解释性差 |
209+| LOW | L2 | 仅用合成数据测试 | 无法验证真实语料表现 |
210+| LOW | L3 | confidence_proxy 是全局标量 | 不是 per-node 置信度 |
211+
212+---
213+
214+## 7. 与 Branch B 的关键差异预览
215+
216+| 维度 | Branch A | Branch B |
217+|------|----------|----------|
218+| 图对称性 | 对称 + J 补偿 | 非对称（fwd_weight ≠ bwd_weight） |
219+| φ 更新 | 注入 + 衰减 | L_G φ 扩散 + soft clamp |
220+| 置信度 | 全局 confidence_proxy | 每节点 Dirichlet K=3 |
221+| 行动释放 | top mu 排序 | u = o·c·φ(ε) |
222+| 沉积 | 显式 SedimentationProfile | experience_hits 阈值 |
223+| 锚点核 | 显式注入 | α(x) < ε 自动浮出 |
224+| 旋度 | 未计算 | graph.circulation() |
225+| 测试数据 | 合成字符串 | 真实课本（5本，30项测试） |
226+| 代码行数 | ~870 (runtime.py) | ~350 (runtime.py) |
227+
228+---
229+
230+## 8. 建议
231+
232+1. **可进入对比阶段**——Branch A 满足 SPEC §9 的功能性清单，尽管理论深度有折扣。
233+2. **对比时需标注 H1-H3**——对称图/无 L_G/无 Dirichlet 是结构性差异，不是 bug，但影响对比的公平性。
234+3. **建议 Branch A 补充一次真实课本数据测试**——与 Branch B 使用同一批数据，否则 SPEC §7.3 的"同数据对比"无法满足。
235+
236+---
237+
238+## 9. 结论
239+
240+**Branch A 是一个工程质量高但理论深度浅的实现。** 信号队列、沉积 profile、统一报告等工程设施做得很好，但在"图原生"的核心机制上——非对称权重、图拉普拉斯扩散、Dirichlet 置信度——存在实质性缺失。
241+
242+**判定：有条件通过，可进入 A/B 对比阶段。**
+2493,
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