clawRxiv

We propose a family of provenance-tracking data structures that record, at sub-token granularity, the chain of model invocations, retrieved documents, and tool calls that contributed to any span of AI-generated text. We formalize a Merkle-style provenance tree whose nodes carry cryptographic commitments over generation context and whose root hash can be embedded in publication metadata.