Configuration

CPA* (noAdv)

Published model reimplemented or adapted by the PerturBench authors, as their asterisk marks.

Overview

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Consult the linked sources for architecture or protocol details. Missing evidence is not evidence of a missing capability.

Evaluations and results

15 evaluations · 51 results. Different protocols are not a single leaderboard.

Sorted by Perturbench RMSE of mean (lower is better). The best value in each column is highlighted. Decimals are rounded for display; each value links to the printed value and its source.

Tested configuration	Protocol and dataset	Perturbench RMSE of mean	Perturbench RMSE rank	Perturbench cosine logfc	Perturbench cosine logfc rank	Perturbench energy mmd (gene expression space)	Perturbench energy mmd (PCA space: top 256 principal components fitted on the ground-truth test split)	Recall (DEG recall: fraction of the top 20 ground-truth DEGs (scanpy t-scores against controls) recalled from predicted cells)	Perturbench matrix distance	Perturbench RMSE transposed rank
CPA* (noAdv)Evaluation	PerturBench v4 covariate transfer to held-out perturbations in held-out biological states on Jiang24, Jiang24 (PerturBench v4 covariate-transfer split)	0.015 ± 4 × 10 − 5 (best in column)	0.40 ± 1 × 10 − 2	0.60 ± 2 × 10 − 3	0.39 ± 1 × 10 − 2	8.0 ± 2 × 10 − 3	2.5 ± 3 × 10 − 3	0.005 ± 6 × 10 − 4	Not reported	Not reported
CPA* (noAdv)Evaluation	PerturBench v4 covariate transfer to a held-out cell line on Srivatsan20, Srivatsan20 (PerturBench v4 covariate-transfer split)	0.020 ± 1 × 10 − 4	0.10 ± 5 × 10 − 3	0.40 ± 5 × 10 − 3	0.09 ± 4 × 10 − 3	2.3 ± 3 × 10 − 2	0.49 ± 1 × 10 − 2	0.004 ± 2 × 10 − 3	Not reported	Not reported
CPA* (noAdv)Evaluation	PerturBench CT-RMSE: covariate transfer on Srivatsan20, RMSE of the mean, Srivatsan20 (PerturBench split)	0.020 ± 8 × 10 − 4	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported
CPA* (noAdv)Evaluation	PerturBench v4 mode-collapse diagnostics on Srivatsan20, Srivatsan20 (PerturBench v4 covariate-transfer split)	0.021	0.098	Not reported	Not reported	Not reported	Not reported	Not reported	32.2 (best in column)	0.337 (best in column)
CPA* (noAdv)Evaluation	PerturBench v4 mode-collapse diagnostics on Frangieh21, Frangieh21 (PerturBench v4 co-culture split)	0.024	0.156	Not reported	Not reported	Not reported	Not reported	Not reported	80.2	0.48
CPA* (noAdv)Evaluation	PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21, Frangieh21 (PerturBench v4 co-culture split)	0.027 ± 9 × 10 − 5	0.19 ± 3 × 10 − 2	0.10 ± 7 × 10 − 3	0.20 ± 3 × 10 − 3	1.8 ± 1 × 10 − 2 (best in column)	0.21 ± 2 × 10 − 3 (best in column)	0.000 ± 0	Not reported	Not reported
CPA* (noAdv)Evaluation	PerturBench v4 covariate transfer of small-molecule effects across PBMC cell types on OP3, OP3 (PerturBench v4 split)	0.034 ± 4 × 10 − 4	0.051 ± 4 × 10 − 3	0.32 ± 6 × 10 − 3	0.076 ± 3 × 10 − 3	5.7 ± 1 × 10 − 2	0.86 ± 1 × 10 − 2	0.000 ± 0	Not reported	Not reported
CPA* (noAdv)Evaluation	PerturBench v4 combination prediction of held-out dual perturbations on Norman19, Norman19 (PerturBench v4 combination split)	0.046 ± 1 × 10 − 3	0.017 ± 3 × 10 − 3 (best in column)	0.77 ± 1 × 10 − 2 (best in column)	0.0057 ± 3 × 10 − 3 (best in column)	5.5 ± 1 × 10 − 1	2.2 ± 1 × 10 − 1	0.016 ± 9 × 10 − 3 (best in column)	Not reported	Not reported
CPA* (noAdv)Evaluation	PerturBench CB-RMSE: combination prediction on Norman19, RMSE of the mean, Norman19 (PerturBench split)	0.073 ± 6 × 10 − 3	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported
CPA* (noAdv)Evaluation	PerturBench CB-COSINE: combination prediction on Norman19, Cosine similarity of log fold change, Norman19 (PerturBench split)	Not reported	Not reported	0.55 ± 9 × 10 − 2	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported
CPA* (noAdv)Evaluation	PerturBench CB-COSINE-RANK: combination prediction on Norman19, Cosine LogFC rank, Norman19 (PerturBench split)	Not reported	Not reported	Not reported	0.16 ± 4 × 10 − 2	Not reported	Not reported	Not reported	Not reported	Not reported
CPA* (noAdv)Evaluation	PerturBench CB-RMSE-RANK: combination prediction on Norman19, RMSE mean rank, Norman19 (PerturBench split)	Not reported	0.18 ± 2 × 10 − 2	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported
CPA* (noAdv)Evaluation	PerturBench CT-COSINE: covariate transfer on Srivatsan20, Cosine similarity of log fold change, Srivatsan20 (PerturBench split)	Not reported	Not reported	0.37 ± 4 × 10 − 2	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported
CPA* (noAdv)Evaluation	PerturBench CT-COSINE-RANK: covariate transfer on Srivatsan20, Cosine LogFC rank, Srivatsan20 (PerturBench split)	Not reported	Not reported	Not reported	0.33 ± 3 × 10 − 2	Not reported	Not reported	Not reported	Not reported	Not reported
CPA* (noAdv)Evaluation	PerturBench CT-RMSE-RANK: covariate transfer on Srivatsan20, RMSE mean rank, Srivatsan20 (PerturBench split)	Not reported	0.29 ± 7 × 10 − 3	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported	Not reported

All 51 result rows with coverage, uncertainty and sources

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Tested model or methodProtocolDatasetEvaluation setupMetricEvidence origin

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Exact evaluated configurations and original reported results
Tested configuration	Protocol and dataset	Finding	Evidence and details
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 mode-collapse diagnostics on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	80.2 Perturbench matrix distance unit-unreported · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 frangieh21-collapse lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21-mode-collapse Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 13, row 'CPA ∗ (noAdv)', column 'Matrix distance'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 mode-collapse diagnostics on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.156 Perturbench RMSE rank fraction · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 frangieh21-collapse lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21-mode-collapse Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 13, row 'CPA ∗ (noAdv)', column 'RMSE mean rank'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 mode-collapse diagnostics on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.024 Perturbench RMSE of mean unit-unreported · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 frangieh21-collapse lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21-mode-collapse Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 13, row 'CPA ∗ (noAdv)', column 'RMSE mean'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 mode-collapse diagnostics on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.48 Perturbench RMSE transposed rank fraction · lower Uncertainty: Not reported by the source Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 frangieh21-collapse lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21-mode-collapse Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 13, row 'CPA ∗ (noAdv)', column 'RMSE mean transposed-rank'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.20 ± 3 × 10 − 3 Perturbench cosine logfc rank fraction · lower Uncertainty: SD 0.003 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 frangieh21 lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 7, row 'CPA ∗ (noAdv)', column 'Cosine LogFC rank'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.10 ± 7 × 10 − 3 Perturbench cosine logfc fraction · higher Uncertainty: SD 0.007 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 frangieh21 lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 7, row 'CPA ∗ (noAdv)', column 'Cosine logFC'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.000 ± 0 Recall (DEG recall: fraction of the top 20 ground-truth DEGs (scanpy t-scores against controls) recalled from predicted cells) fraction · higher Uncertainty: SD 0 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 frangieh21 lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 7, row 'CPA ∗ (noAdv)', column 'DEG recall'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.21 ± 2 × 10 − 3 Perturbench energy mmd (PCA space: top 256 principal components fitted on the ground-truth test split) unit-unreported · lower Uncertainty: SD 0.002 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 frangieh21 lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 7, row 'CPA ∗ (noAdv)', column 'MMD PCA'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	1.8 ± 1 × 10 − 2 Perturbench energy mmd (gene expression space) unit-unreported · lower Uncertainty: SD 0.01 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 frangieh21 lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 8, row 'CPA ∗ (noAdv)', column 'MMD'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.19 ± 3 × 10 − 2 Perturbench RMSE rank fraction · lower Uncertainty: SD 0.03 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 frangieh21 lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 8, row 'CPA ∗ (noAdv)', column 'RMSE mean rank'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 covariate transfer from mono-culture to co-culture on Frangieh21 Dataset subset: Frangieh21 (PerturBench v4 co-culture split)	0.027 ± 9 × 10 − 5 Perturbench RMSE of mean unit-unreported · lower Uncertainty: SD 0.00009 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 frangieh21 lit-cells-networks-20261011-perturbench-v4-protocol-frangieh21 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 8, row 'CPA ∗ (noAdv)', column 'RMSE mean'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 covariate transfer to held-out perturbations in held-out biological states on Jiang24 Dataset subset: Jiang24 (PerturBench v4 covariate-transfer split)	0.39 ± 1 × 10 − 2 Perturbench cosine logfc rank fraction · lower Uncertainty: SD 0.01 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 jiang24 lit-cells-networks-20261011-perturbench-v4-protocol-jiang24 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 4, row 'CPA ∗ (noAdv)', column 'Cosine LogFC rank'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 covariate transfer to held-out perturbations in held-out biological states on Jiang24 Dataset subset: Jiang24 (PerturBench v4 covariate-transfer split)	0.60 ± 2 × 10 − 3 Perturbench cosine logfc fraction · higher Uncertainty: SD 0.002 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 jiang24 lit-cells-networks-20261011-perturbench-v4-protocol-jiang24 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 4, row 'CPA ∗ (noAdv)', column 'Cosine logFC'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 covariate transfer to held-out perturbations in held-out biological states on Jiang24 Dataset subset: Jiang24 (PerturBench v4 covariate-transfer split)	0.005 ± 6 × 10 − 4 Recall (DEG recall: fraction of the top 20 ground-truth DEGs (scanpy t-scores against controls) recalled from predicted cells) fraction · higher Uncertainty: SD 0.0006 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 jiang24 lit-cells-networks-20261011-perturbench-v4-protocol-jiang24 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 4, row 'CPA ∗ (noAdv)', column 'DEG recall'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 covariate transfer to held-out perturbations in held-out biological states on Jiang24 Dataset subset: Jiang24 (PerturBench v4 covariate-transfer split)	2.5 ± 3 × 10 − 3 Perturbench energy mmd (PCA space: top 256 principal components fitted on the ground-truth test split) unit-unreported · lower Uncertainty: SD 0.003 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 jiang24 lit-cells-networks-20261011-perturbench-v4-protocol-jiang24 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 4, row 'CPA ∗ (noAdv)', column 'MMD PCA'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 covariate transfer to held-out perturbations in held-out biological states on Jiang24 Dataset subset: Jiang24 (PerturBench v4 covariate-transfer split)	8.0 ± 2 × 10 − 3 Perturbench energy mmd (gene expression space) unit-unreported · lower Uncertainty: SD 0.002 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 jiang24 lit-cells-networks-20261011-perturbench-v4-protocol-jiang24 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 11, row 'CPA ∗ (noAdv)', column 'MMD'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 covariate transfer to held-out perturbations in held-out biological states on Jiang24 Dataset subset: Jiang24 (PerturBench v4 covariate-transfer split)	0.40 ± 1 × 10 − 2 Perturbench RMSE rank fraction · lower Uncertainty: SD 0.01 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 jiang24 lit-cells-networks-20261011-perturbench-v4-protocol-jiang24 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 11, row 'CPA ∗ (noAdv)', column 'RMSE mean rank'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 covariate transfer to held-out perturbations in held-out biological states on Jiang24 Dataset subset: Jiang24 (PerturBench v4 covariate-transfer split)	0.015 ± 4 × 10 − 5 Perturbench RMSE of mean unit-unreported · lower Uncertainty: SD 0.00004 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 jiang24 lit-cells-networks-20261011-perturbench-v4-protocol-jiang24 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 11, row 'CPA ∗ (noAdv)', column 'RMSE mean'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 combination prediction of held-out dual perturbations on Norman19 Dataset subset: Norman19 (PerturBench v4 combination split)	0.0057 ± 3 × 10 − 3 Perturbench cosine logfc rank fraction · lower Uncertainty: SD 0.003 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 norman19 lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 3, row 'CPA ∗ (noAdv)', column 'Cosine LogFC rank'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 combination prediction of held-out dual perturbations on Norman19 Dataset subset: Norman19 (PerturBench v4 combination split)	0.77 ± 1 × 10 − 2 Perturbench cosine logfc fraction · higher Uncertainty: SD 0.01 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 norman19 lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 3, row 'CPA ∗ (noAdv)', column 'Cosine logFC'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 combination prediction of held-out dual perturbations on Norman19 Dataset subset: Norman19 (PerturBench v4 combination split)	0.016 ± 9 × 10 − 3 Recall (DEG recall: fraction of the top 20 ground-truth DEGs (scanpy t-scores against controls) recalled from predicted cells) fraction · higher Uncertainty: SD 0.009 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 norman19 lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 3, row 'CPA ∗ (noAdv)', column 'DEG recall'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 combination prediction of held-out dual perturbations on Norman19 Dataset subset: Norman19 (PerturBench v4 combination split)	2.2 ± 1 × 10 − 1 Perturbench energy mmd (PCA space: top 256 principal components fitted on the ground-truth test split) unit-unreported · lower Uncertainty: SD 0.1 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 norman19 lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 3, row 'CPA ∗ (noAdv)', column 'MMD PCA'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 combination prediction of held-out dual perturbations on Norman19 Dataset subset: Norman19 (PerturBench v4 combination split)	5.5 ± 1 × 10 − 1 Perturbench energy mmd (gene expression space) unit-unreported · lower Uncertainty: SD 0.1 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 norman19 lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 6, row 'CPA ∗ (noAdv)', column 'MMD'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 combination prediction of held-out dual perturbations on Norman19 Dataset subset: Norman19 (PerturBench v4 combination split)	0.017 ± 3 × 10 − 3 Perturbench RMSE rank fraction · lower Uncertainty: SD 0.003 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 norman19 lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 6, row 'CPA ∗ (noAdv)', column 'RMSE mean rank'
Configuration: CPA* (noAdv)	Protocol: PerturBench v4 combination prediction of held-out dual perturbations on Norman19 Dataset subset: Norman19 (PerturBench v4 combination split)	0.046 ± 1 × 10 − 3 Perturbench RMSE of mean unit-unreported · lower Uncertainty: SD 0.001 Coverage: Not reported scored / Not reported eligible	Author-reported evaluation · Source checked Methods, coverage and source CPA ∗ (noAdv) on PerturBench v4 norman19 lit-cells-networks-20261011-perturbench-v4-protocol-norman19 Aggregation: Not reported PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis (arXiv v4) · Table 6, row 'CPA ∗ (noAdv)', column 'RMSE mean'

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