Paper Citation Record · LEDGER

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs

As of 13 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2412.03271.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.03271 v2

Coverage vector

measured 48 of 48 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation cf42b663-96a9-4978-8321-6b6a1bbe6570 · outbound

This paper cites Extending path-dependent NJ - ODE s to noisy observations and a dependent observation framework.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Extending path-dependent NJ - ODE s to noisy observations and a dependent observation framework

Reference 1

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Observation 7ee08073-d879-4a15-bd37-356627dae513 · outbound

This paper cites Black box variational inference for state space models.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Black box variational inference for state space models

Reference 2

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This paper cites CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs CLEAR: Calibrated Learning for Epistemic and Aleatoric Risk

Reference 3

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This paper cites On the characterization of compactness in the space of functions of bounded variation in the sense of Jordan.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs On the characterization of compactness in the space of functions of bounded variation in the sense of Jordan

Reference 4

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Observation 2e723646-3d1c-44ee-9e10-0374cca94a70 · outbound

This paper cites Multitask learning.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Multitask learning

Reference 5

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This paper cites A primer on the signature method in machine learning.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs A primer on the signature method in machine learning

Reference 6

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This paper cites Stochastic calculus and applications.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Stochastic calculus and applications

Reference 7

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Observation 7a0f1165-4785-4d2c-ac2b-de90ba36a0aa · outbound

This paper cites Differentiable particle filtering via entropy-regularized optimal transport.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Differentiable particle filtering via entropy-regularized optimal transport

Reference 8

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Observation 84371b6c-5de7-44b6-9a2a-416e36b8de96 · outbound

This paper cites A theory of the term structure of interest rates.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs A theory of the term structure of interest rates

Reference 9

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This paper cites On the strong law of large numbers for pairwise independent random variables.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs On the strong law of large numbers for pairwise independent random variables

Reference 10

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Observation 34f0f40b-07f4-4341-8812-fb509b95c013 · outbound

This paper cites Universal approximation theorems for continuous functions of càdlàg paths and Lévy -type signature models.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Universal approximation theorems for continuous functions of càdlàg paths and Lévy -type signature models

Reference 11

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Observation 91111e42-4c37-4799-b450-1832bb272b2f · outbound

This paper cites Particle filtering.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Particle filtering

Reference 12

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Observation eff10bbe-3da2-4a67-be0f-c204b17511a5 · outbound

This paper cites Term structures of credit spreads with incomplete accounting information.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Term structures of credit spreads with incomplete accounting information

Reference 13

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Observation ac557906-a591-4cd5-9966-be1512c22506 · outbound

This paper cites Multivariate statistics: A vector space approach.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Multivariate statistics: A vector space approach

Reference 14

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This paper cites Embedding and learning with signatures.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Embedding and learning with signatures

Reference 15

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Observation 9c2a080c-6d74-41f2-9507-35f621f7c531 · outbound

This paper cites General dynamic term structures under default risk.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs General dynamic term structures under default risk

Reference 16

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Observation 88d64c32-fc32-4261-9705-e0b57bf87a70 · outbound

This paper cites Pricing corporate securities under noisy asset information.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Pricing corporate securities under noisy asset information

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:54.814996Z

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Observation 5612684b-c4c5-4f36-b2c5-f22030395330 · outbound

This paper cites Pricing and hedging of credit derivatives via the innovations approach to nonlinear filtering.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Pricing and hedging of credit derivatives via the innovations approach to nonlinear filtering

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:54.629113Z

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Observation a4d2238e-ff6d-4c07-89e8-fcc1b7f01f53 · outbound

This paper cites Dynamic defaultable term structure modeling beyond the intensity paradigm.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Dynamic defaultable term structure modeling beyond the intensity paradigm

Reference 19

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This paper cites Deep dynamic modeling with just two time points: Can we still allow for individual trajectories? Biometrical Journal, 64 0 (8): 0 1426--1445, 2022.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Deep dynamic modeling with just two time points: Can we still allow for individual trajectories? Biometrical Journal, 64 0 (8): 0 1426--1445, 2022

Reference 20

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Observation 511395f5-6883-4d82-bf9b-2713e0c0b3c4 · outbound

This paper cites Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Investigating a domain adaptation approach for integrating different measurement instruments in a longitudinal clinical registry

Reference 21

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Inductive Bias of Neural Networks and Selected Applications

Reference 22

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Observation 38382c11-63df-4ade-88c3-477477c8eb83 · outbound

This paper cites How Infinitely Wide Neural Networks Can Benefit from Multi-task Learning -- an Exact Macroscopic Characterization.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs How Infinitely Wide Neural Networks Can Benefit from Multi-task Learning -- an Exact Macroscopic Characterization

Reference 23

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Observation 94156015-b8ac-4a8e-bda8-f61dc6c0300e · outbound

This paper cites Neural jump ordinary differential equations: Consistent continuous-time prediction and filtering.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Neural jump ordinary differential equations: Consistent continuous-time prediction and filtering

Reference 24

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Approximation capabilities of multilayer feedforward networks

Reference 25

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Multilayer feedforward networks are universal approximators

Reference 26

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Serial order: A parallel distributed processing approach

Reference 27

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Foundations of modern probability

Reference 28

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs A new approach to linear filtering and prediction problems [j]

Reference 29

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Introduction to Stochastic Calculus

Reference 30

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data

Reference 31

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Estimation of the parameters of the stochastic differential equations black-scholes model share price of gold

Reference 32

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Kernels for sequentially ordered data

Reference 33

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Observation 450cd818-4222-417b-9c70-843800d767a9 · outbound

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Neural Jump Ordinary Differential Equations

Reference 34

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This paper cites Learning Chaotic Systems and Long-Term Predictions with Neural Jump ODEs.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Learning Chaotic Systems and Long-Term Predictions with Neural Jump ODEs

Reference 35

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This paper cites Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs

Reference 36

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Deep Kalman Filters

Reference 37

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Structured inference networks for nonlinear state space models

Reference 38

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Variational marginal particle filters

Reference 39

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Auto-encoding sequential monte carlo

Reference 40

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Filtering variational objectives

Reference 41

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Observation 32124a98-d9c2-4d02-9f6a-1e32236efcd7 · outbound

This paper cites On the pricing of corporate debt: The risk structure of interest rates.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs On the pricing of corporate debt: The risk structure of interest rates

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:51.994757Z

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Variational sequential monte carlo

Reference 43

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Kalman filtering: Processing all measurements together vs processing them sequentially

Reference 44

Resolution: verified exact; raw_fallback, observed 2026-08-11T22:47:49.934977Z

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Observation 1845e886-18ee-4682-9503-92c49fb7f837 · outbound

This paper cites Kalmannet: Neural network aided kalman filtering for partially known dynamics.

Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Kalmannet: Neural network aided kalman filtering for partially known dynamics

Reference 45

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs Learning internal representations by error propagation

Reference 46

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs A structural model with unobserved default boundary

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:47:51.444758Z

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Nonparametric Filtering, Estimation and Classification using Neural Jump ODEs write newline

Reference 48

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Source-reported events for the cited work

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Pith citing papers

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