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Jev for Scientific Decisions: Evaluating Semantic Choices and Their Consequences

Paper recorded by Signals 4 on 2026-09-21 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-21 on arXiv · recorded by Signals 4 on 2026-09-22

Category: cs.AI · 人工智能 · first seen 2026-09-22

Abstract

Scientific workflows often require choosing among known relations before a deterministic calculation can proceed. Whether observations share a culture, treatment or reference standard can change the scientific meaning of the resulting count or comparison. We evaluate Jev as a semantic decision component using a harness that follows its documented guidance and assigns arithmetic to code. The study

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#9 most recent of 340 cs.AI papers we have recorded · ↑ newer: Emergent Collusion in Long-Horizon LLM Agent Interaction · ↓ older: Generative Tutorial: Towards Live Contextualized Visual Instructions f
Cite this page: Jev for Scientific Decisions: Evaluating Semantic Choices and Their Consequences: the #9 most recent of 340 cs.AI papers we have recorded (as of 2026-09-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/jev-for-scientific-decisions-evaluating-semantic-choices-and-their-consequences.html
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