GRASP: Geometry-aware Residual Alignment for Scalable Pretraining Data Attribution

arXiv:2606.06892 · cs.LG · Submitted 2026-06-05 · Read on arXiv

cs.LG

Submitted: 2026-06-05

Updated: 2026-08-30

Terminology

• Fidelity — 17× in this paper · explained in 2 episodes
• Benchmark — 14× in this paper · explained in 2 episodes
• Alignment — 12× in this paper · explained in 1 episode
• Core — 10× in this paper · explained in 2 episodes
• Redundancy — 10× in this paper · explained in 2 episodes
• Transferability — 7× in this paper · explained in 4 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Generalization — 6× in this paper · explained in 13 episodes
• Calibration — 5× in this paper · explained in 7 episodes
• Influence Functions — 5× in this paper · explained in 2 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• AUC — 4× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Robustness — 4× in this paper · explained in 5 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Linear Datamodeling Score — 2× in this paper
• Regularization — 2× in this paper · explained in 3 episodes
• AUROC — 1× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Approximation Bound — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Shapley values — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Studying Large Language Model Generalization with Influence Functions
• Olmo 3
• TRAK: Attributing Model Behavior at Scale
• Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

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