arXiv (All)
open access
Seal, Then Sample: Sampled Layerwise Proofs for Verifiable LLM Inference from GPT-2 to 70B
Verifying outsourced language-model inference requires a precisely identified computation and an audit whose cost a service can afford. We present Sampled Layerwise Proofs (SLP), a protocol and prototype that commits the boundary activations of every chunk of an inference trace, absorbs all commitme
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Evidence-Bound Gateway-Path Provenance for Third-Party LLM Inference#299846
- Calibrating Small Language Models for Claim Check-Worthiness Detection#820696
- Proof2Hybrid: Automatic Mathematical Benchmark Synthesis for Proof-Centric Problems#792648
- Proof2Hybrid: Automatic Mathematical Benchmark Synthesis for Proof-Centric Problems#788648
- Watermarkable Multi-Draft Speculative Sampling via Poisson Processes#1036247
Record · ID 1063578
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive