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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)
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
k041Within-stage pseudotime and graph toolkit offline: scanpy DPT/PAGA/Leiden, Palantir, CellRank 210.1186/s13059-019-1663-x (PAGA); 10.1038/s41587-019-0068-4 (Palantir); 10.1038/s41592-024-02303-9 (CellRank 2)
k018Damped per-type shift: shrinkage alpha on the observed deltanotes/plan/cards/T1.md
k042TF activity inference offline: decoupler (ulm/mlm) with the CollecTRI priordata/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