Attributing HOW, Not Just WHICH: Counterfactual Response Trajectories for Diffusion Models

arXiv:2610.11238 · cs.CV, cs.GR · Submitted 2026-10-08 · Read on arXiv

cs.CV, cs.GR

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Diffusion Model — 27× in this paper · explained in 8 episodes
• Diffusion Models — 23× in this paper · explained in 6 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Generative Models — 4× in this paper · explained in 2 episodes
• Influence Functions — 4× in this paper · explained in 2 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Generative AI — 3× in this paper · explained in 2 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Data Provenance — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Linear Datamodeling Score — 1× in this paper
• Provenance — 1× in this paper · explained in 4 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes

Sources

• Qwen3-VL Technical Report
• Training Data Attribution for Diffusion Models
• The ArtBench Dataset: Benchmarking Generative Models with Artworks
• Influence Functions for Scalable Data Attribution in Diffusion Models
• Concept-TRAK: Understanding how diffusion models learn concepts through concept-level attribution
• Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation

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