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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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0111 · Mar 200219922001200920172026
13 results for Casson-Morita's d-map

Researchers determine the rational abelianization of a subgroup of mapping class groups.

problem Understanding the structure of the Chillingworth subgroup of mapping class groups.
method Using Johnson homomorphism and Casson-Morita homomorphism, they compute the abelianization and order of related Euler classes.
result They find the rational abelianization of the Chillingworth subgroup as a full mapping class group module.

Minimal maps from surfaces to torus found for various genus values.

problem Finding minimal degree maps from genus gg surfaces to the torus.
method Constructing simplicial degree dd maps from a triangulation of a genus gg surface to the 7-vertex triangulation of the torus.
result Minimal maps exist for g1g \geq 1 and d2g1|d| \geq 2g - 1 for g3g \geq 3.

Study invariants of Z/p\mathbb{Z}/p-homology 3-spheres from abelianization of mapping class groups.

problem Deciding and constructing invariants of Z/p\mathbb{Z}/p-homology 3-spheres.
method Formulating a criterion and using families of trivial 2-cocycles on the abelianization of the level-pp mapping class group.
result Disproved a conjectured extension of the Casson invariant for rational homology 3-spheres.

The study explores the structure of mapping class groups of non-orientable surfaces.

problem Understanding the structure of mapping class groups of non-orientable surfaces.
method Explains relations and provides generating sets for the level d mapping class groups.
result Normal and finite generating sets for the mapping class groups are provided.

Research uses CPS to estimate uncertainty in ML radio metric models.

problem Estimating uncertainty in machine learning models for radio metrics and path loss.
method Conformal Prediction (CP) in Conformal Predictive Systems (CPS) with diverse difficulty estimators.
result CPS models maintain high coverage and reliability across different cities.