Where Does Social Reasoning Come From? Capability Provenance in Language Models

arXiv:2606.19625v1 Announce Type: new Abstract: We use training-data attribution as an interpretable tool for capability discovery, mapping which regions of the pretraining corpus support social-reasoning versus STEM-reasoning in OLMo3-7B. Training-data attribution measures how strongly each training document influences a model's predictions on a benchmark, but document-level scores are too noisy to identify which corpus regions support which capabilities, and prior work has emphasized factual knowledge rather than reasoning. We compute gradient-based attribution (TrackStar via Bergson) over a

Source: arXiv cs.CL — read the full report at the original publisher.

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