Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Category

small language model

3,629 papers

#diffusion models Open access Sep 2026

What the Waiting Is For Is Diffusion, Not Reaction ── One millimetre takes 2.7778 hours and a hundred takes 3.17 years ── ten times the distance costs 100 times the time ── and ten kelvin multiplies the reaction by 4.0553 while multiplying the diffusion by only 1.5220 ── [Paper 445]

Ageing is taken to be slow because the reaction is slow. This paper shows that sometimes what one waits for is transport──and that transport barely speeds up when heated. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the diffusion equation, the square law for diff...

Yuuki Yamagishi · 0 citations
#small language model Open access Sep 2026

Raising the Lift Coefficient by Sixty Per Cent Lowers the Stall Speed by Twenty ── Taking the maximum lift coefficient from 1.5 to 2.5, a factor of 1.6667, takes the stall speed only from 99.3694 to 76.9712 km/h, a factor of 0.7746 ── because it acts through a square root ── and 0.4518 at 25 degrees is worse than 1.2990 at 10 ── [Paper 458]

Fit a high-lift device and you fly correspondingly slower──so it is thought. This paper shows that the lift coefficient acts on the stall speed only through a square root──a factor of 1.6667 buys a drop of 22.5 per cent. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claime...

Yuuki Yamagishi · 0 citations
#small language model Open access Sep 2026

Self-Referential Processing in Large Language Models: A Pre-Registered Multi-Model Evaluation Protocol (v8.6.3)

Pre-registration protocol and frozen materials for Master Lock v8.6.3. The specification of record is MASTER_LOCK_v8_6_3.md; any rendered PDF is derived from it. The frozen 260-item prompt pool (items_pool_v1.json) is locked to SHA-256 128ff78bb6beb1640fa51897ab97dbb9d07dc56de276973d05a48dda524b53d3. The statistical es...

Prince upadhyay · 0 citations
#small language model Review Open access Sep 2026

Microplastics in the human placenta: mechanisms, risks, and futures: a systematic review

Current evidence indicates that micro- and nanoplastics can reach the maternal–fetal interface and may adversely affect placental function, and standardized detection protocols, environmentally relevant dose–response studies, and prospective longitudinal investigations are urgently needed.

M. Bachnas, I. Sanjaya, W. Andonotopo et al. · 0 citations
#diffusion models Open access Sep 2026

Whether Being Advantageous Matters Is Decided by the Size of the Population ── A mutation with a selection coefficient of 0.01 fixes 19.8013 times as often as a neutral one at N=500, but only 1.2012 times as often at N=10 ── what decides is not s but Ns ── and at s=0 the probability is exactly the neutral value ── [Paper 478]

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 · 0 citations
#small language model Open access Sep 2026

Both Improved 7.2446-Fold and the Ratio Never Moved ── Improving at two per cent a year, capability rises 7.2446-fold over a century while the ratio stays at exactly 1.000000000 ── let one side stop and the odds move from 0.5 to 0.878803 ── one runs not to overtake but not to fall ── [Paper 438]

Improving is expected to bring advantage. This paper shows that if the other improves as much, nothing changes──and that stopping nonetheless costs a great deal. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the Red Queen hypothesis, coevolution and relative fitne...

Yuuki Yamagishi · 0 citations
#small language model Open access Sep 2026

Mixing the Unmixable Multiplies the Boundary by a Thousand ── Dividing 1 mL of oil from 1 mm drops into 1 mum drops takes the interface from 0.0030 to 3.0000 m^2 ── a surfactant cuts the energy to 1/6 but not to zero ── nothing mixed; separation merely became slow ── [Paper 444]

Shake oil and water hard enough and they look mixed. This paper shows that they have not mixed──the finer the division the more boundary there is and the higher the energy. Separation has merely become slow. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──interfacia...

Yuuki Yamagishi · 0 citations
#small language model Conference Open access Sep 2026

A Review of Multimodal Perception and Closed-Loop Task Execution for Human-Robot Collaboration Robots Oriented Toward Intelligent Assembly

This review discusses recent research from the perspective of a complete "perception-decision-execution-feedback" process, and focuses on the main topics operator action and intention recognition, perception of part states, task allocation under human-related constraints, safe trajectory planning, and quality feedback.

Zhuo-Yuan Li · 0 citations
#small language model Open access Sep 2026

The NEMS Framework: No External Model Selection as a Principle of Foundational Self-Containment

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 · 0 citations
#large language models Open access Sep 2026

Run-to-Run Consistency of Business Recommendations from Web-Search-Enabled Large Language Models: An Exploratory Study

Consumers increasingly ask conversational large language models (LLMs) which product or company to choose, yet little is documented about how stable those recommendations are under repetition. We conducted an exploratory study of run-to-run consistency for two widely used web-search-enabled assistants, OpenAI's ChatGPT...

Pressfront Research · 0 citations
#large language models Open access Sep 2026

Run-to-Run Consistency of Business Recommendations from Web-Search-Enabled Large Language Models: An Exploratory Study

Consumers increasingly ask conversational large language models (LLMs) which product or company to choose, yet little is documented about how stable those recommendations are under repetition. We conducted an exploratory study of run-to-run consistency for two widely used web-search-enabled assistants, OpenAI's ChatGPT...

Pressfront Research · 0 citations
#small language model Review Open access Sep 2026

A large language model for risk-of-bias assessment in systematic reviews of prognosis studies in clinical neurology

With targeted methodological refinements - including standardization of QUIPS implementation and validation against expert ratings - automated ROB assessments may meaningfully reduce time and cost of systematic reviews of prognosis studies in neurology and beyond.

S. Kampman, K. Braun, W. Otte · 0 citations

From tech blogs

See all →

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.