Sign inGet started
Paper · arXiv

Verification with Transfer: Exact Information Frontiers and Their Price in Calls

A verifier that accepts or rejects whole answers reveals little: under a flat prior over $k$-bit answers, zero error needs $2^k-1$ verifications. The usual remedy is to solve related source tasks, either all first, as a curriculum does, or interleaved with verification. We price this remedy in information and in calls. With an exact verifier, the least causal information that any interleaving of source calls and $n$ verifications needs to succeed with probability $s$ is a list rate-distortion function, attained by one observation before any verification. It lower-bounds the expected number of binary source calls, which designed sources meet within $1+\log_25$ calls for unique answers and ...

AuthorsHazar Yueksel
Primary categorycs.LG
Published8 October 2026
Last updated at source8 October 2026
cs.LGcs.CRcs.ITstat.ML
Embed this entry
<iframe src="https://silytics.si/embed/item/96f97679-d869-4d0d-baf8-37afa09eac85" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

0 now. Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.