Paper Citation Record · LEDGER

Safe Active Learning for Gaussian Differential Equations

As of 12 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2412.09053.

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

pith.paper-citation-record.v1
2412.09053 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:25:16.494720Z

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.

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Source: cited_works

Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation 234317c8-cc02-415a-91d8-8d25ad2259ae · outbound

This paper cites write newline.

Safe Active Learning for Gaussian Differential Equations write newline

Reference 1

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Observation ad9e4fa7-d849-49c3-ac22-f69ecdaad0da · outbound

This paper cites and Stueckler, J.

Safe Active Learning for Gaussian Differential Equations and Stueckler, J

Reference 2

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This paper cites Improving the efficiency of training physics-informed neural networks using active learning.

Safe Active Learning for Gaussian Differential Equations Improving the efficiency of training physics-informed neural networks using active learning

Reference 3

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Safe Active Learning for Gaussian Differential Equations Unresolved cited work

Reference 4

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Safe Active Learning for Gaussian Differential Equations Unresolved cited work

Reference 5

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Safe Active Learning for Gaussian Differential Equations Unresolved cited work

Reference 6

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Observation 5b9795ab-9991-48f2-8284-f5b5fbbe4ece · outbound

This paper cites P., and Krause, A.

Safe Active Learning for Gaussian Differential Equations P., and Krause, A

Reference 7

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Observation c8cfadde-988d-4a0f-9ec1-b39c399a0111 · outbound

This paper cites Structural kernel search via bayesian optimization and symbolical optimal transport.

Safe Active Learning for Gaussian Differential Equations Structural kernel search via bayesian optimization and symbolical optimal transport

Reference 8

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Observation e786cf00-da68-4bdd-af1f-e46683fdbee8 · outbound

This paper cites Amortized inference for G aussian process hyperparameters of structured kernels.

Safe Active Learning for Gaussian Differential Equations Amortized inference for G aussian process hyperparameters of structured kernels

Reference 9

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This paper cites Mathematical models in epidemiology, volume 32.

Safe Active Learning for Gaussian Differential Equations Mathematical models in epidemiology, volume 32

Reference 10

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Observation 3f543bef-3d2a-4794-8448-ffa4b9db7c50 · outbound

This paper cites Actively learning G aussian process dynamics.

Safe Active Learning for Gaussian Differential Equations Actively learning G aussian process dynamics

Reference 11

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Observation 4012450c-d95a-4c1b-9026-09d92142f98b · outbound

This paper cites Bayesian Neural Ordinary Differential Equations.

Safe Active Learning for Gaussian Differential Equations Bayesian Neural Ordinary Differential Equations

Reference 12

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Observation 9852172d-7174-455f-8ef4-b6e1b7b6ba50 · outbound

This paper cites Probabilistic recurrent state-space models.

Safe Active Learning for Gaussian Differential Equations Probabilistic recurrent state-space models

Reference 13

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This paper cites Exact inference for continuous-time G aussian process dynamics.

Safe Active Learning for Gaussian Differential Equations Exact inference for continuous-time G aussian process dynamics

Reference 14

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This paper cites Active Learning of Linear Embeddings for Gaussian Processes.

Safe Active Learning for Gaussian Differential Equations Active Learning of Linear Embeddings for Gaussian Processes

Reference 15

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Safe Active Learning for Gaussian Differential Equations a hdesm \

Reference 16

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Observation e9c26177-e691-4c5e-81e2-4376449acd27 · outbound

This paper cites o m, H., Intosalmi, J., and L \.

Safe Active Learning for Gaussian Differential Equations o m, H., Intosalmi, J., and L \

Reference 17

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Safe Active Learning for Gaussian Differential Equations Unresolved cited work

Reference 18

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Observation ef402fb9-38bc-4af3-a7ae-9bd5c644dbb0 · outbound

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Safe Active Learning for Gaussian Differential Equations Unresolved cited work

Reference 19

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Observation ee9b9f14-cf8a-4d0f-bf1c-a922c55ae123 · outbound

This paper cites Bayesian Active Learning for Classification and Preference Learning.

Safe Active Learning for Gaussian Differential Equations Bayesian Active Learning for Classification and Preference Learning

Reference 20

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Safe Active Learning for Gaussian Differential Equations Unresolved cited work

Reference 21

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Safe Active Learning for Gaussian Differential Equations J., Porikli, F., and Papanikolopoulos, N

Reference 22

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Safe Active Learning for Gaussian Differential Equations On neural differential equations

Reference 23

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Observation 6a092c8f-4703-49d5-9bd4-4afa82398a8b · outbound

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Safe Active Learning for Gaussian Differential Equations Stiff neural ordinary differential equations

Reference 24

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This paper cites Near-optimal sensor placements in G aussian processes: Theory, efficient algorithms and empirical studies.

Safe Active Learning for Gaussian Differential Equations Near-optimal sensor placements in G aussian processes: Theory, efficient algorithms and empirical studies

Reference 25

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Safe Active Learning for Gaussian Differential Equations Hybrid modeling: towards the next level of scientific computing in engineering

Reference 26

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Safe Active Learning for Gaussian Differential Equations Safe active learning for multi-output G aussian processes

Reference 27

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Safe Active Learning for Gaussian Differential Equations J., and Adams, R

Reference 28

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This paper cites Computational modeling of biochemical networks using copasi.

Safe Active Learning for Gaussian Differential Equations Computational modeling of biochemical networks using copasi

Reference 29

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This paper cites Uncertainty and Structure in Neural Ordinary Differential Equations.

Safe Active Learning for Gaussian Differential Equations Uncertainty and Structure in Neural Ordinary Differential Equations

Reference 30

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Safe Active Learning for Gaussian Differential Equations Optimal Experimental Design for Universal Differential Equations

Reference 31

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Safe Active Learning for Gaussian Differential Equations Mathematical models in science and engineering

Reference 32

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Safe Active Learning for Gaussian Differential Equations Universal Differential Equations for Scientific Machine Learning

Reference 33

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Safe Active Learning for Gaussian Differential Equations and Recht, B

Reference 34

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Safe Active Learning for Gaussian Differential Equations and Kevrekidis, I

Reference 35

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This paper cites a fer, A., Mara, H., Freudenreich, J., Breuckmann, B., D \.

Safe Active Learning for Gaussian Differential Equations a fer, A., Mara, H., Freudenreich, J., Breuckmann, B., D \

Reference 36

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This paper cites Safe Exploration for Active Learning with G aussian Processes.

Safe Active Learning for Gaussian Differential Equations Safe Exploration for Active Learning with G aussian Processes

Reference 37

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Safe Active Learning for Gaussian Differential Equations Active learning literature survey

Reference 38

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Safe Active Learning for Gaussian Differential Equations Stagewise safe bayesian optimization with G aussian processes

Reference 39

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Safe Active Learning for Gaussian Differential Equations Efficiently computable safety bounds for G aussian processes in active learning

Reference 40

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Safe Active Learning for Gaussian Differential Equations Variational learning of inducing variables in sparse G aussian processes

Reference 41

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Safe Active Learning for Gaussian Differential Equations Unresolved cited work

Reference 42

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Safe Active Learning for Gaussian Differential Equations Efficiently sampling functions from G aussian process posteriors

Reference 43

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Safe Active Learning for Gaussian Differential Equations L., Trayanova, N., Geman, D., and Miller, M

Reference 44

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Observation c007363e-1c68-43f4-8c49-3111f9d7ad54 · outbound

This paper cites Learning interacting dynamical systems with latent G aussian process odes.

Safe Active Learning for Gaussian Differential Equations Learning interacting dynamical systems with latent G aussian process odes

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:25:16.881660Z

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Safe Active Learning for Gaussian Differential Equations Unresolved cited work

Reference 46

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Safe Active Learning for Gaussian Differential Equations H., and Shi, J

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:25:16.845240Z

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Observation 6f7f0287-9290-40b9-9a1f-5af672c3c99e · outbound

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Safe Active Learning for Gaussian Differential Equations Safe active learning for time-series modeling with G aussian processes

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:25:16.827001Z

Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.