arXiv (All)
open access
A Finite-Blocklength Analysis for ORBGRAND
Within the Guessing Random Additive Noise Decoding (GRAND) family, ordered reliability bits GRAND (ORBGRAND) offers hardware-friendly use of soft information. Existing information-theoretic results for ORBGRAND are asymptotic in blocklength and do not quantify its short-to-moderate blocklength perfo
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
- Sensing-Aided Ordered Reliability Bits Guessing Random Additive Noise Decoding#609641
- Noisy-Channel Minimum Bayes Risk Decoding#343487
- Soft GRAND under Channel Uncertainty: Minimax Posterior-Envelope Ordering and Gallager-Exponent Preservation#1077615
- Lossy Joint Source-Channel Coding over Unknown Channels#924586
- Lossy Joint Source-Channel Coding over Unknown Channels#920354
Record · ID 973084
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