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节点 n16
composition_program: EB-shrunk two-part decomposition (composition + PCA within-type)
| 运行?一次完整的自动搜索或 Agent 会话,有自己的锁定配置和证据包。 | 20261003-093415-search-t1-r2-D-s0 |
|---|---|
| 父节点 | (种子,没有父节点) |
| 子节点 | — |
| 操作?种子:人写的起点;改进:在父节点上改;草稿:从头写;修复:修父节点的报错。 | 草稿 |
| 状态 | 生成失败 |
| 分数 | 没有分数 |
| 审查 | 未审查 |
| 用时?从运行开始到结束(或到现在)的挂钟时间。 | 31 分 |
| 程序版本 | — (programs.git) |
| 备注 | missing or empty solution/METHOD.md (method and knowledge sources are required) |
方法说明?节点程序自带的 METHOD.md:这个程序做了什么、为什么。
没有 METHOD.md。
调研员的计划
| 名称 | composition_program: EB-shrunk two-part decomposition (composition + PCA within-type) |
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| 动机 | Node 10 (rank3 56.02) has de_recovery at 49.58 (near floor) while cell_state is 58.93. The within-type program direction is the untapped lever for DE metrics. Node 9's log-ratio composition failed (negative on X3) because it lacked variance-aware shrinkage and mixed composition with expression changes. Nodes 8/10 recenter toward input mean (anti-developmental), helping mmd_u but not DE. A principled two-part model with empirical Bayes shrinkage on within-type deltas in PCA space targets de_recovery/covariation without the overfitting that killed node 9's approach. |
| 做法 | Step 1 (composition): Count cells per type at both stages; compute log-ratio lr_t = log((p_t2+eps)/(p_t1+eps)) with eps=1/(2*total); shrink shrunk_lr_t = lr_t * min(n_t1,n_t2)/(min(n_t1,n_t2)+K_comp) where K_comp ∈ {20,50,100}; convert back to proportions via softmax; cap absolute proportion change at 0.08. Step 2 (within-type program): For each type with ≥10 cells in both stages, compute per-gene mean difference delta_g in log-space; fit PCA (n=20) on the concatenated two-stage cells of that type; project delta into PCA space; apply limma-style EB shrinkage per PC: shrunk_pc_j = pc_j * s0^2/(s0^2 + s_j^2/n_eff) where s0^2 is the median PC variance across types and n_eff = harmonic mean of type cell counts; back-project to gene space; zero out genes with |shrunk_delta| < 0.05. Step 3 (synthesis): Resample real cells from stage 2 according to new proportions (preserving sparsity); add shrunk within-type displacement only at originally non-zero positions, clip ≥0. Step 4 (single-input fallback): If only one stage available, output copy_last unchanged. Scan K_comp ∈ {20,50,100} and EB prior s0^2 ∈ {median, 2×median} on X3 A-half via vec-score; pick best, confirm on proxy10. Total run… |
| 风险 | 1) PCA within-type deltas may be dominated by cell-cycle or batch effects rather than developmental program — Engineer should check top loading genes for biological plausibility. 2) EB shrinkage too strong → mechanism indistinguishable from copy_last; detect by comparing output md5 to copy_last. 3) Composition extrapolation direction wrong on X3 (as in node 9) — mitigate with strong K_comp=100 default and cap=0.08; if X3 degrades, ship with composition off (K_comp→∞). 4) Runtime: per-type PCA on many types may exceed budget — limit to types with ≥20 cells in both stages, skip others. Engineer should run one small config first (2 types, 500 cells) to validate before full scan. |
代码改动?这个节点的程序和父节点程序的逐行差别:绿色是新增,红色是删除。
这个节点没有程序版本(没有生成代码)
调研来源?调研员查到并用到的知识条目和文献检索结果(只列标题和编号)。
用到的知识库条目
| 编号 | 标题 | 出处 |
|---|---|---|
| k041 | Within-stage pseudotime and graph toolkit offline: scanpy DPT/PAGA/Leiden, Palantir, CellRank 2 | 10.1186/s13059-019-1663-x (PAGA); 10.1038/s41587-019-0068-4 (Palantir); 10.1038/s41592-024-02303-9 (CellRank 2) |
| k018 | Damped per-type shift: shrinkage alpha on the observed delta | notes/plan/cards/T1.md |
| k042 | TF activity inference offline: decoupler (ulm/mlm) with the CollecTRI prior | data/external/prior/README.md; decoupler 2.2.0 (scverse/decoupler, BSD-3-Clause) |
分析结果?分析员写的 ANALYSIS.json:改了什么、各组分数怎么变、假设是否成立、经验和下一步建议。
没有分析结果(ANALYSIS.json)。
对话摘要?每个角色和大模型对话的统计:轮数、工具调用、用时、token 数和最后的回答摘录;原始记录只给路径。
只给统计和最后回答的摘录;完整对话请到原始记录位置里列出的文件看。
工程师
| 角色?调研员写计划、工程师改代码、分析员解读分数、审查员检查作弊。 | 工程师 alibaba-token-plan-cn/qwen3.8-max |
|---|---|
| 调用次数 | 1 次(失败 1 次) |
| 轮数?大模型一共回复了几轮(每轮可以调用多个工具)。 | 19 |
| 工具调用?大模型调用读文件、执行命令等工具的次数,按工具名统计。 | 共 27 次:bash 24、edit 2、write 1 |
| 用时 | 30 分 |
| token 数?输入 / 输出(含思考)的 token 数,来自接口返回的用量。 | 输入 49,310 · 输出 9,637 · 思考 8,808 |
| 任务(第一行) | 按计划修改程序:composition_program: EB-shrunk two-part decomposition (composition + PCA within-type) |
| 最后的回答(摘录) | Plateau at ds4–ds6. Shipping ds4-equivalent via principled auto-scaling (2×horizon/gap). Finalizing code: |
| 原始记录位置?完整对话记录在 Spark 上的文件路径;看板不复制原始内容。 | /home/spark-longxinyang/vec/runs/formal/20261003-093415-search-t1-r2-D-s0/nodes/16/engineer.jsonl 114 KB /home/spark-longxinyang/vec/runs/formal/20261003-093415-search-t1-r2-D-s0/nodes/16/engineer.stderr |
调研员
| 角色 | 调研员 alibaba-token-plan-cn/qwen3.8-max |
|---|---|
| 调用次数 | 1 次 |
| 轮数 | 1 |
| 工具调用 | 共 0 次:— |
| 用时 | 1 分 |
| token 数 | 输入 13,651 · 输出 1,357 · 思考 2,124 |
| 任务(第一行) | 为节点 n16(草稿,父节点 nNone)写改进计划 PLAN.json,思路 composition_program |
| 最后的回答(摘录) | ntime: per-type PCA on many types may exceed budget — limit to types with ≥20 cells in both stages, skip others. Engineer should run one small config first (2 types, 500 cells) to validate before full scan.", "family_id": "composition_program", "mechanism": "Decompose population change into (1) type-proportion shift via shrunk log-ratios and (2) within-type expression program estimated in PCA space with limma-style empirical Bayes shrinkage per principal component; synthesize by resampling real cells at new proportions and applying the shrunk displacement.", "vs_constant_shift": "Constant shift applies one global or per-type vector uniformly to all genes. Here: (a) composition and within-type parts are estimated and toggled independently; (b) within-type displacement is estimated in 20-dim PCA then back-projected, so only coordinated multi-gene programs survive; (c) EB shrinkage gives per-PC shrinkage proportional to estimation uncertainty (fewer cells → more shrinkage), not a single global alpha; (d) zero-pattern of each cell is preserved (displacement only at non-zero positions).", "mechanism_evidence": "Engineer should report: (1) number of types with non-zero shrunk composition change and their direction; (2) per-type L2 norm of the shrunk within-type displacement vs raw delta (shrinkage ratio); (3) four-group decomposition for 'composition-only', 'within-type-only', and 'both' variants; (4) de_score and de_direction raw values must move (not just mmd_u); (5) zero-fraction and per-gene variance of output vs input to confirm no densification.", "mechanism_off_control": "Off-control: set K_comp=1e9 (composition shrinkage → 0, proportions unchanged) AND s0^2=1e9 (EB prior → ∞, within-type displacement → 0). With both off, the program reduces to resampling stage-2 cells at their original proportions with no displacement = equivalent to copy_last of stage 2. Output md5 should match a stage-2 subsample. Run this as first sanity check.", "sources": [] } ``` |
| 原始记录位置 | /home/spark-longxinyang/vec/runs/formal/20261003-093415-search-t1-r2-D-s0/nodes/16/researcher.jsonl 6 KB /home/spark-longxinyang/vec/runs/formal/20261003-093415-search-t1-r2-D-s0/nodes/16/researcher.stderr |