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.

168,742 papers · 148 categories

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4 results for “backlogs”

Claims processing and costs under capacity constraintsq-fin.RM

Optimizes insurance processing capacity to minimize costs.

problem Processing delays and backlogs in insurance claims.

method Optimal capacity selection to minimize delay-adjusted and fixed costs.

result Minimizes claims costs by balancing processing capacity and delays.

insurance claims processing capacity cost minimization delay-adjusted costs backlogs

2024-09-11abs ↗pdf ↗

Knowledge vs. Experience: Asymptotic Limits of Impatience in Edge Tenantsstat.ML

Study shows how learning and analytical models affect reneging and jockeying in a dual M/M/1 system.

problem How do learning and analytical models affect reneging and jockeying in a dual M/M/1 system?

method Analytical and online trained actor-critic models were used to study reneging and jockeying in a dual M/M/1 system.

result Both analytical and online trained actor-critic models yield the same asymptotic limits for reneging and jockeying, but differ in practical sizes.

reneging jockeying M/M/1 system actor-critic asymptotic limits

2025-11-14abs ↗pdf ↗

Non-Stationary Inventory Control with Lead Timesmath.OC

Study on inventory control with changing demand, proposing adaptive algorithms.

problem Inventory control with non-stationary demand distributions.

method Adaptive online algorithms optimizing base-stock policies.

result Sharp separation in adaptability across different inventory models.

inventory control non-stationary demand adaptive algorithms base-stock policies dynamic regret

2026-02-05abs ↗pdf ↗

ISOMORPH: A Supply Chain Digital Twin for Simulation, Dataset Generation, and Forecasting Benchmarksstat.ML

ISOMORPH creates a digital twin for supply chain logistics, advancing time-series forecasting benchmarks.

problem Lack of public benchmarks for supply chain logistics time-series forecasting.

method Developed a digital twin simulator with interpretable parameters and modular topology, generating datasets and verifying conservation laws.

result Foundation models achieve MASE values exceeding public benchmarks at low-to-moderate horizons, supporting UQ.

Supply Chain Digital Twin Time-Series Forecasting Benchmark Interpretability

2026-05-12abs ↗pdf ↗