The boundaries of how reinforcement learning optimizes the reasoning capabilities of large language models under different resource and scale constraints are reviewed, as well as the adaptability of reinforcement learning's optimization of large language models in different scenarios are analyzed.
Heavy friction is expected to make motion jerky. This paper shows that the cause is not the size but the gap──make the two frictions equal and the motion is smooth however large they are. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the distinction between static...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
This paper provides a high-level narrative summary of the physics arc (Papers 01–25) of the NEMS suite: semantic closure, self-containment, and their consequences in physics and quantum gravity. The suite introduces a formal "no external model selection" principle, classifies realized systems into a small set of univer...
Nova Spivack· Zenodo (CERN European Organi...· 0 citations
A metal that reacts more readily is expected to corrode sooner. This paper shows that the ordering is reversed──the basest metal is protected by the thinnest film. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──standard electrode potentials, passivity and the Pilli...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
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An advantageous mutation is said to spread. This paper shows that what decides whether the advantage matters is not its size but its product with the population size──where Ns is small, being advantageous does no good. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed─...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
The report asks a simple but focused question: if a numerical mechanism attached to a trained neural network had to select exactly one component to preserve, what would it choose, and would that choice predict real functional consequences better than simple baselines? We ran an exploratory series of experiments on smal...
Sohan Poudel· Zenodo (CERN European Organi...· 0 citations
A deeper dam is thought to need a disproportionately thicker body. This paper shows that although the force grows as the square and the moment as the cube, the required width grows only as the first power──because the resisting side grows as the cube too. No new theorem or law is claimed. Scope of this paper (scope not...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
The report asks a simple but focused question: if a numerical mechanism attached to a trained neural network had to select exactly one component to preserve, what would it choose, and would that choice predict real functional consequences better than simple baselines? We ran an exploratory series of experiments on smal...
Sohan Poudel· Zenodo (CERN European Organi...· 0 citations
Raising the compression ratio raises efficiency──so it is said. This paper shows that the same proportional increase buys 1.480429 times less at the top──and that the ratio has a closed form. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the theoretical efficiency...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
How fast a thing cools is thought to be set by its material. This paper shows that size acts 40 times harder──changing from water to metal gives only 1.3081. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──Newton’s law of cooling, the lumped capacitance method and t...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Large language models (LLMs) can plan, write code, call tools, manipulate software, and execute long-horizon workflows. Yet strong local competence does not guarantee project-level executive control. An agent can make large, useful early advances and then shift toward progressively smaller, lower-value actions—addition...
Dongsheng Xiao· Zenodo (CERN European Organi...· 0 citations
Crystal structure is one of the most abstract topics in secondary school chemistry. Textbookspresent three-dimensional lattices as flat diagrams, and physical models cannot be modified, sostudents often memorize conclusions such as "NaCl has a coordination number of 6" withoutunderstanding how structure determines prop...
Kerong He· Zenodo (CERN European Organi...· 0 citations