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Paper Citation Record · LEDGER

Safe Active Learning for Gaussian Differential Equations

As of 20 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

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measured 48 of 48 standing notices

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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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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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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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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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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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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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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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Safe Active Learning for Gaussian Differential Equations Unresolved cited work

Reference 19

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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

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

Reference 24

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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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Observation 22bd688a-62fa-40a3-a63c-fa0b264e2f53 · outbound

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

Reference 29

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Observation 2b1765fa-99ac-48ef-ad49-cad346ffaffd · outbound

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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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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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

Reference 32

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Observation 01dda489-c910-461e-9588-fb9d8f44bfa1 · outbound

This paper cites Universal Differential Equations for Scientific Machine Learning.

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

Reference 36

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 24ee2525-855b-4a22-a552-2aab95b311cc · outbound

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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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 62a0a7e4-0356-4b7c-ab8b-8307e8b6c399 · outbound

This paper cites Active learning literature survey.

Safe Active Learning for Gaussian Differential Equations Active learning literature survey

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:16.437384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:25:16.437384Z digest=sha256:54ab22c5921a088ecbfcfd6c6a23218143d2dc172349526594ff747252b9c4bd

Observation 141bdf32-e091-4989-8388-6d9350f41030 · outbound

This paper cites Stagewise safe bayesian optimization with G aussian processes.

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

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T17:25:16.443116Z digest=sha256:6c59066400d6fc93924588dcbfe2baee5f2e11374f6d3598cd4821f7aed0e780

Observation 63b81272-f850-4b1e-b7cb-5d955b314788 · outbound

This paper cites Efficiently computable safety bounds for G aussian processes in active learning.

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

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T17:25:16.448551Z digest=sha256:a2cdad44078c98e2bc4303d98657d38abab0d36fb8fd393a47506b4d45cf1a7e

Observation db894416-af32-4f8f-b096-cdd7474273a2 · outbound

This paper cites Variational learning of inducing variables in sparse G aussian processes.

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

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:25:16.930889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T17:25:16.453647Z digest=sha256:fddc6aa2cf3effebd14604319e65adb05bb300ce853af7cf6faeb22775fbaedb

Observation 16d445e3-ff9f-493c-99c4-14b6f75dd88f · outbound

This paper cites an unresolved cited work.

Safe Active Learning for Gaussian Differential Equations Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:16.458814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:25:16.458814Z digest=sha256:efa5293204f18adea9a8512ec174d2d9ad04fe27aabc0254b3c2f52c7d019002

Observation 469273f9-856f-4ca2-bbe5-bbd8fa275eb4 · outbound

This paper cites Efficiently sampling functions from G aussian process posteriors.

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

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T17:25:16.464588Z digest=sha256:2ea0cb1c153ba031fece38c3fd2801303c6a188b131e0d1a27952e1a243829dd

Observation 81a33dd0-d243-4a00-a28a-cabb887a4555 · outbound

This paper cites L., Trayanova, N., Geman, D., and Miller, M.

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

Reference 44

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T17:25:16.470438Z digest=sha256:5f973b5130c025ccf0419507dade69f658d6dfb71e63d78a089de5d088a4dcd0

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T17:25:16.476631Z digest=sha256:8b62465871acf9a62efb3a37c4b45cf0c766a48bc8849c6bc9b888a5daa06383

Observation ba0092bf-e657-4549-b436-cad7a458d452 · outbound

This paper cites an unresolved cited work.

Safe Active Learning for Gaussian Differential Equations Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:25:16.862797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T17:25:16.482309Z digest=sha256:eeb5ab2c9eede3516b0491f5b4a2deb942f8bfcb9dce1bb77467f1b257086e66

Observation 3ec46b19-38fd-4183-bc58-374e203395d3 · outbound

This paper cites H., and Shi, J.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T17:25:16.488570Z digest=sha256:f8a6292c189962edca24eb58bf6a269e4e0453dded2a3e624ad8db6dd35cf40f

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

This paper cites Safe active learning for time-series modeling with G aussian processes.

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

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T17:25:16.494720Z digest=sha256:a60d206cb4f0afdd6357eea1c399f277bae98af1c8bfeb8fd058c441c39d55ce

Pith citing papers

No inbound Pith citation observations are available.