small language model

Siesta: Identitas yang Koheren pada Model Bahasa Orchestrator dengan Kepribadian Emergen

Siesta is an independent research project exploring identity coherence in a small-scale Indonesian-language orchestrator model — a "brain" that stays behaviorally consistent while delegating specialized tasks to separate hidden models. Built entirely from scratch (not fine-tuned) on limited consumer hardware (GPU/TPU w...

Improving individual cattle identification for livestock management systems using vision transformer embeddings and FAISS

The growing demand for cattle products has created an urgent need for large-scale farms equipped with automated management systems to ensure sustainable and efficient livestock farming practices. One critical challenge is the accurate identification of individual cattle, as errors in identification can negatively aff...

Topological Cross-Domain Transfer in Autonomous Systems: Structural Isomorphism Training

Structural isomorphism training for cross-domain transfer in small language models, validated via the gnarp model lineage and Self-Falsifying Orchestrator. One of 135 dated defensive publications in the CatQualia record. Collection DOI: https://doi.org/10.5281/zenodo.22751107 Original publication: https://catqualia.com...

Diagnostic performance of a specific local Turkish large language model in detecting alcohol use disorder across internal medicine practice: A 42-patient pilot study

Objective: Alcohol use disorder (AUD) is underdiagnosed in internal medicine. We evaluated a local large language model (LLM), fine-tuned on a Turkish medical corpus, for detecting AUD across outpatient, emergency and inpatient settings. Method: We retrospectively analyzed 42 adult patients at a tertiary state hospital...

Agentic AI for Digital Product Passport Documentation: A Feasibility Study on Heterogeneous Manufacturing Documents

Observations suggest that the retrieval infrastructure adapted to manufacturer vocabulary and complementary deterministic tools may be more consequential design priorities for DPP deployments supported by agentic AI than further work on orchestration complexity.

A Lagrange Multiplier Is a Temperature Here and a Pressure Next Door ── The multiplier beta from maximising entropy agrees with an independently computed dS/dE at 0.700000000 against 0.700000000, and again at 1.900000000 for beta=1.9 ── it does not agree with a wrong value of 0.9 ── the same device appears in Paper 196 as the multiplier enforcing incompressibility, where it is the pressure: what the multiplier is, the constraint decides ── [Paper 494]

A Lagrange multiplier is taken to be an auxiliary quantity that appears mid-calculation. This paper shows that the multiplier agrees digit for digit with an independently defined physical quantity──and that which quantity it becomes is decided by the constraint imposed. No new theorem or law is claimed. Scope of this p...

Hunk-Constrained DPO: Segment-Level Optimization for Secure and Correct LLM Code Generation

Hunk-Constrained Direct Preference Optimization is introduced, a training framework that unifies security hardening and functional correction in large language models and demonstrates that HPO achieves substantial security improvements—up to 28 percentage points—while preserving or enhancing functional correctness.

Solve the Fall Time Backwards for the Curve and Only One Remains ── Stand in the direction that gives T(h) and solves for the curve, and requiring T to be independent of h yields f'(y) proportional to 1/sqrt(y) uniquely ── measured, T(0.5)=T(1)=T(2)=0.708762 with a spread of 0.000x10^0, matching the closed form pi/sqrt(2g)=0.709373 ── for a general f', T proportional to sqrt(h), and quadrupling h multiplies T by 2.000000 ── [Paper 488]

The isochronism of the cycloid is taken to be a lucky property of that curve. This paper shows that reversing the direction makes isochronism fix the curve uniquely──requiring T to be independent of h alone yields f'(y) proportional to 1/sqrt(y). No new theorem or law is claimed. Scope of this paper (scope note): No ne...

A Lagrange Multiplier Is a Temperature Here and a Pressure Next Door ── The multiplier beta from maximising entropy agrees with an independently computed dS/dE at 0.700000000 against 0.700000000, and again at 1.900000000 for beta=1.9 ── it does not agree with a wrong value of 0.9 ── the same device appears in Paper 196 as the multiplier enforcing incompressibility, where it is the pressure: what the multiplier is, the constraint decides ── [Paper 494]

A Lagrange multiplier is taken to be an auxiliary quantity that appears mid-calculation. This paper shows that the multiplier agrees digit for digit with an independently defined physical quantity──and that which quantity it becomes is decided by the constraint imposed. No new theorem or law is claimed. Scope of this p...

Extraction dataset for a systematic review of reasoning enhancement approaches for small language models.

Continuous in Composition, Discontinuous in Whether the Species Are the Same ── The entropy of mixing 2 mol of two components is 11.526293 J/K at mole fraction 0.5, 0.931245 at 0.01 and 0.000246 at 10^-6, approaching zero continuously ── yet for two samples of the same species it jumps to 0.000000 J/K without passing along that path ── the variable that was varied is composition; the variable that jumped is distinguishability ── [Paper 498]

The Gibbs paradox is said to be the problem of an entropy that jumps discontinuously. This paper shows that the variable that jumps and the variable that is continuous are different ones──composition stays continuous down to 10^-6, and what jumps is distinguishability. No new theorem or law is claimed. Scope of this pa...

Topological Cross-Domain Transfer in Autonomous Systems: Structural Isomorphism Training

Structural isomorphism training for cross-domain transfer in small language models, validated via the gnarp model lineage and Self-Falsifying Orchestrator. One of 135 dated defensive publications in the CatQualia record. Collection DOI: https://doi.org/10.5281/zenodo.22751107 Original publication: https://catqualia.com...