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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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:47:49.244748Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

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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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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Observation 18a8369a-f1a7-4766-acc0-dd1191886ceb · outbound

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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Observation 4d66bc13-abec-441d-ac15-b9049dff1ad4 · outbound

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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Observation 652d184d-bc2f-44df-9a88-7008daca186f · outbound

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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This paper cites Particle filtering.

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

Reference 12

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

Reference 14

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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

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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

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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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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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This paper cites Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data.

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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This paper cites Estimation of the parameters of the stochastic differential equations black-scholes model share price of gold.

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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Source-reported events for the cited work

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

Reference 34

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Source-reported events for the cited work

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Observation 1998fa73-ae26-4b09-8dde-d7f27432fe71 · outbound

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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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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:47:48.758513Z digest=sha256:88a23e7c8ad26e30e424bd9c3db1d0ae6227386a1ab795a5c270402e4357d35a

Observation d7b56bc5-1275-4c15-b4f4-6dcf7a33bd25 · outbound

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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unresolved
no resolver link, observed 2026-08-11T22:47:48.794761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:47:48.794761Z digest=sha256:ed7763bb8f7ebc27ea2157b6933eebaac94d83dac3e2ec1eedbf751cb8bfde53

Observation 5ded4893-5af9-4ecf-b3df-645ba849c717 · outbound

This paper cites Deep Kalman Filters.

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

Reference 37

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unresolved
no resolver link, observed 2026-08-11T22:47:48.805265Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:47:48.805265Z digest=sha256:0a0ce3428a05ffeebb0a8ad2653d2560a4ef53b7135594850e1a27fb973591e8

Observation 96d4058b-d638-45d5-85ce-5e73ef1bcace · outbound

This paper cites Structured inference networks for nonlinear state space models.

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

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:47:52.704840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:47:48.844847Z digest=sha256:f23599534367d2a47d939cc957d64f693093f46c456ae39548f846a2905fa109

Observation b30bf3b6-ef66-4f9c-a509-16409849deb8 · outbound

This paper cites Variational marginal particle filters.

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

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:47:52.522844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:47:48.884743Z digest=sha256:7f7bade89f4cd81bf90aa897c83471344c46556551102f03497541d1beb0d10d

Observation dfbef8bf-8854-4395-9c17-df3ed2cbfba7 · outbound

This paper cites Auto-encoding sequential monte carlo.

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

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:47:52.344759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:47:48.944759Z digest=sha256:3c174f2fba58cad065f0bf178ef474404bd3f80cc4594f6870bdd30c8277eb36

Observation 63ff8656-cbc6-40d3-92da-85cce7e87f79 · outbound

This paper cites Filtering variational objectives.

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

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:47:52.164759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:47:48.973685Z digest=sha256:2ad737beeffe2f77542d0755babfca69908eacff65926101551114856a9d93b6

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:47:49.014869Z digest=sha256:2783c6f94ed37ef6f8694864e1fe3af0a776430e83aeab017a0483ea7d7236b4

Observation 719a2a80-7434-4e0a-8257-4daa756ba3be · outbound

This paper cites Variational sequential monte carlo.

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

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:47:51.834761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:47:49.064754Z digest=sha256:80a2ebf93395f612ad248d602ccfd50e673f8e33fa0465208a283d8ae9ecc737

Observation 6b906dbe-5030-442b-a2f1-4850bd56592a · outbound

This paper cites Kalman filtering: Processing all measurements together vs processing them sequentially.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:47:49.107187Z digest=sha256:a1c4464e38d39ade32021db46df6d7e037e036808c6eada4ff010cb0d6a4db77

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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unresolved
no resolver link, observed 2026-08-11T22:47:49.116028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:47:49.116028Z digest=sha256:c26a8215caf9d9d9d901392f139a47a3dfb8764a0c836c49166e79e7829ccfec

Observation ae91f212-5de1-4131-9747-3a5b28385a26 · outbound

This paper cites Learning internal representations by error propagation.

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

Reference 46

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unresolved
no resolver link, observed 2026-08-11T22:47:49.164761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:47:49.164761Z digest=sha256:3966f30a673dda8db39366d2027b9caf42e8940c85a597f73d03adad6594f2b3

Observation 713321aa-a207-4d2a-8252-df242f6aa2b1 · outbound

This paper cites A structural model with unobserved default boundary.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T22:47:49.204753Z digest=sha256:f597ff31bc15b97742e68fb0d339d99491d885e1680d67ec416cec6759b3feb1

Observation 6f1fa37d-58a0-40a6-b84e-2184eb9dcb9f · outbound

This paper cites write newline.

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

Reference 48

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unresolved
no resolver link, observed 2026-08-11T22:47:49.244748Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:47:49.244748Z digest=sha256:2af7c4e3c7e212fa34e3dc11d39ba48cfdd8ab0a4b04b38184b16f7286bdb532

Pith citing papers

No inbound Pith citation observations are available.