This position paper formally establishes the principles of Structural Copyright and Explainability within Technorhetoric Version 3.0. Generative AI systems increasingly replicate not only textual content but also underlying conceptual and rhetorical structures. These structures constitute protected intellectual property under Technorhetoric Version 3.0, including one word = one meaning®, one sentence = one idea®, and one paragraph = one topic®. The paper clarifies the necessity of structural protection and semantic explainability in the AI era and designates these principles as foundational elements of the Version 3.0 corpus.
The cardiovascular (Cardiac) disease (CVD) is another factor that causes death among the global population most, and this is the reason why there is a high necessity to implement proper, effective, and interpretive diagnostic systems. The usage of machine learning (ML), deep lear…
Abstract: Deep learning has great potential for environmental monitoring, yet real-world applications often face challenges from large-scale, multimodal, and noisy datasets. We introduce GreenNet, a flexible and open-source framework that makes it easier to build and scale deep l…
Publisher policies on generative AI are usually read as restrictions. Read instead as a map of delegable work, they reserve for the human author a narrow core: the integrity of primary research images, and the warranty of the claims, by which we mean the cluster of human function…
July 25, 2026. Paper Permission: What Publisher AI Policies Allow and Practice Withholds AFS3.6: Paper Permission: What Publisher AI Policies Allow and Practice Withholds Names Paper Permission: a permission present in the text of publisher policy and largely absent from open pra…