On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

Trend · papers per month

count % of corpus

5 results for “K-line”

Crossing-Free Probabilistic K-Line Forecasts Without Retrainingstat.ML

KQSP method prevents crossing issues in probabilistic K-line forecasts.

problem Quantile and K-line crossing issues in probabilistic K-line forecasts.

method Parameter-free and training-free reconciliation method (KQSP).

result KQSP reduces crossing rates to zero for all test data.

forecasting probabilistic K-line crossing reconciliation

2026-07-29abs ↗pdf ↗

Kronos: A Foundation Model for the Language of Financial Marketsq-fin.ST

Kronos improves financial time series analysis with a pre-trained model.

problem Limited application of large-scale models to financial candlestick data.

method Unified, scalable pre-training framework for financial K-line modeling.

result Kronos excels in financial tasks like price forecasting and volatility prediction.

financial time series K-line modeling large language models volatility prediction synthetic data generation

2025-08-02abs ↗pdf ↗

A Partial

ε

-Regularity Theorem for Integral Stationary Geodesic Networks in

\mathbb{R}^n

math.DG

Partial regularity theorem for geodesic networks in R^n.

problem Proving regularity for geodesic networks in R^n.

method Partial

ε

-regularity theorem for sequences of integer multiplicity stationary geodesic networks converging to a multiplicity k line.

result Proves partial regularity for geodesic networks.

geodesic networks partial regularity integral stationarity R^n

2026-07-26abs ↗pdf ↗

Some fibered and non-fibered links at infinity of hyperbolic complex line arrangementsmath.GT

Let F be R or C, d the dimension of F over R. Denote by P(F) either the affine plane A(F) or the hyperbolic plane H(F) over F. An arrangement L of k lines in P(F) (pairwise non-parallel in the hyperbolic case) has a link at infinity K(L) comprising k unknotted (d-1)-spheres in the (2d-1)-sphere, whose topology reflects…

1999-12-31abs ↗pdf ↗

Expectation Maximization (EM) Converges for General Agnostic Mixturescs.LG

Gradient EM converges exponentially to optimal solution in agnostic mixtures.

problem Fitting

k

parametric functions to given data points without a generative model.

method Gradient EM algorithm for agnostic mixtures of arbitrary parametric functions.

result Gradient EM converges exponentially to population loss minimizers with high probability.

Gradient EM agnostic mixtures parametric functions exponential convergence optimal solution

2026-04-07abs ↗pdf ↗