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Paper Citation Record · LEDGER

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations

As of 8 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2506.21776.

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pith.paper-citation-record.v1
2506.21776 v1

Coverage vector

measured 62 of 62 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

62 of 62 outbound references displayed

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External citation measurements

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Outbound references

Observation 2f7beb51-61ab-4875-b8f4-be4d31b5f446 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations , " * write output.state after.block = add.period write newline

Reference 1

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations write newline

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This paper cites Numerical Solution of Ordinary Differential Equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Numerical Solution of Ordinary Differential Equations

Reference 3

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This paper cites The D eep M ind JAX E cosystem.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations The D eep M ind JAX E cosystem

Reference 4

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Observation 7e39c7fd-e5d6-49ab-877f-66214a2d35e3 · outbound

This paper cites Gaussian processes for Bayesian estimation in ordinary Differential Equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Gaussian processes for Bayesian estimation in ordinary Differential Equations

Reference 5

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Observation 99fbf190-6ba7-4348-8eed-fd681e2a1c78 · outbound

This paper cites A Comparison of Discrete Linear Filtering Algorithms.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations A Comparison of Discrete Linear Filtering Algorithms

Reference 6

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This paper cites Efficient and Modular Implicit Differentiation.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Efficient and Modular Implicit Differentiation

Reference 7

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Observation 25bf4c6a-2586-468d-920e-dc87c0e2252f · outbound

This paper cites deBInfer: Bayesian inference for dynamical models of biological systems in R.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations deBInfer: Bayesian inference for dynamical models of biological systems in R

Reference 8

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This paper cites Calibrated Adaptive Probabilistic ODE Solvers.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Calibrated Adaptive Probabilistic ODE Solvers

Reference 9

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This paper cites Pick-and-Mix Information Operators for Probabilistic ODE Solvers.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Pick-and-Mix Information Operators for Probabilistic ODE Solvers

Reference 10

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This paper cites JAX : composable transformations of P ython+ N um P y programs.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations JAX : composable transformations of P ython+ N um P y programs

Reference 11

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This paper cites Numerical Methods for Ordinary Differential Equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Numerical Methods for Ordinary Differential Equations

Reference 12

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This paper cites Accelerating Bayesian inference over nonlinear differential equations with Gaussian processes.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Accelerating Bayesian inference over nonlinear differential equations with Gaussian processes

Reference 13

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Penalized Nonlinear Least Squares Estimation of Time-Varying Parameters in Ordinary Differential Equations

Reference 14

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This paper cites Neural Ordinary Differential Equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Neural Ordinary Differential Equations

Reference 15

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This paper cites Bayesian solution uncertainty quantification for differential equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Bayesian solution uncertainty quantification for differential equations

Reference 16

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Statistical analysis of differential equations: introducing probability measures on numerical solutions

Reference 17

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This paper cites simode: Statistical Inference for Systems of Ordinary Differential Equations using Separable Integral-Matching.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations simode: Statistical Inference for Systems of Ordinary Differential Equations using Separable Integral-Matching

Reference 18

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Bayesian numerical analysis

Reference 19

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations ODE parameter inference using adaptive gradient matching with Gaussian processes

Reference 20

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations A family of embedded Runge - Kutta formulae

Reference 21

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Hybrid Monte Carlo

Reference 22

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Bayesian Data Analysis

Reference 23

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Fast approximate Bayesian computation for estimating parameters in differential equations

Reference 24

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Mixed Variational Inference

Reference 25

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Scalable variational inference for dynamical systems

Reference 26

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Numerical Methods for Ordinary Differential Equations: Initial Value Problems

Reference 27

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Array programming with NumPy

Reference 28

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Probabilistic numerics and uncertainty in computations

Reference 29

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations ODEPACK , a systematized collection of ODE solvers

Reference 30

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations CollocInfer: Collocation Inference in Differential Equation Models

Reference 31

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This paper cites Discrete square root filtering: A survey of current techniques.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Discrete square root filtering: A survey of current techniques

Reference 32

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This paper cites Active uncertainty calibration in Bayesian ODE solvers.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Active uncertainty calibration in Bayesian ODE solvers

Reference 33

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This paper cites Differentiable Likelihoods for Fast Inversion of Likelihood-Free Dynamical Systems.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Differentiable Likelihoods for Fast Inversion of Likelihood-Free Dynamical Systems

Reference 34

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rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Convergence rates of Gaussian ODE filters

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation dfc58300-471f-41cb-905e-48d9e94e3d74 · outbound

This paper cites On Neural Differential Equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations On Neural Differential Equations

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T22:26:56.020631Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:26:56.020631Z digest=sha256:b21e15dba5c44d1c560b51358468d2dbbd94251a0b6271d46f9bf679893a5431

Observation f5fd3c0c-c1af-4b85-9e63-f903c68805c8 · outbound

This paper cites Probabilistic ODE solutions in millions of dimensions.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Probabilistic ODE solutions in millions of dimensions

Reference 37

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:56.096877Z digest=sha256:9288813790ee0576dc1e6435123ec8524b9c45db870d308b15c4e7035787ac83

Observation 0f9e804b-4b33-4ff3-9daa-6a9ae5f97619 · outbound

This paper cites Stable Implementation of Probabilistic ODE Solvers.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Stable Implementation of Probabilistic ODE Solvers

Reference 38

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:56.131864Z digest=sha256:ff500afae3fda295869ff9c4c6fb04834b1b7a21c2d075d77231c85b77b571d4

Observation ac271756-eefd-4e47-b541-689da455c724 · outbound

This paper cites a mer PN (2024). Implementing probabilistic numerical solvers for differential equations. Ph.D. thesis, Universit \.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations a mer PN (2024). Implementing probabilistic numerical solvers for differential equations. Ph.D. thesis, Universit \

Reference 39

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:56.202086Z digest=sha256:b67abe3a42611c0e4680f72ffff883dddd37caa648d20ddc2e0aac2642a26676

Observation 7ca8da7b-7805-4e82-8593-db81a68078de · outbound

This paper cites B lackjax: A sampling library for JAX.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations B lackjax: A sampling library for JAX

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:56.265162Z digest=sha256:b4d2a03210f078b6b499049addc54f035fc9fcda8faaf4db059df7447d25894e

Observation 8858e887-55ec-4dff-99d3-2b7a4003fd25 · outbound

This paper cites Multiphase MCMC sampling for parameter inference in nonlinear ordinary differential equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Multiphase MCMC sampling for parameter inference in nonlinear ordinary differential equations

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:27:04.158949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:56.325476Z digest=sha256:8e8dbddb751598ddf56a574901e9e9de29ec2ccd31c5777983294bcd000207cd

Observation 347ed4ca-f691-440c-99d6-de72a0a837aa · outbound

This paper cites deGradInfer: Parameter Inference for Systems of Differential Equation.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations deGradInfer: Parameter Inference for Systems of Differential Equation

Reference 42

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:56.429765Z digest=sha256:7edd5b53a07e3ba58837e61c867b594905e6189c1727dc6860ec356d6e2aeefe

Observation 0439939a-f077-44de-9003-872b5d9fa82b · outbound

This paper cites A Practical Bayesian Framework for Backpropagation Networks.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations A Practical Bayesian Framework for Backpropagation Networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T22:26:56.520518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:26:56.520518Z digest=sha256:f2bf39e3e64f01986aa55d6ce380fb365443fd1f50d33eacb668f184fabed898

Observation 5209c837-d555-4a77-87eb-d4f7da59aab3 · outbound

This paper cites Bayesian estimation of time-varying parameters in ordinary differential equation models with noisy time-varying covariates.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Bayesian estimation of time-varying parameters in ordinary differential equation models with noisy time-varying covariates

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T22:26:56.562507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:26:56.562507Z digest=sha256:7757ef0678c3a87ce596c253430e2a2184d57a7de3ee21e0cfee30a6d9a351c9

Observation c377fdda-e17e-4cde-ba59-9ecaecec5df9 · outbound

This paper cites R package for statistical inference in dynamical systems using kernel based gradient matching: KGode.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations R package for statistical inference in dynamical systems using kernel based gradient matching: KGode

Reference 45

Resolution
malformed identifier
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:56.616443Z digest=sha256:0044804e73943c4270a6eb383b11606b059719408c8b14075da46b009360b215

Observation 587a8385-125f-4496-a1a4-a4d646c97bb7 · outbound

This paper cites Numerical Optimization.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Numerical Optimization

Reference 46

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:56.663120Z digest=sha256:234df0deb23e2eacc19b86b3ac2c54ef86e2ff418bbaaee158e2566e70b9b648

Observation b8c001bc-f04e-4660-b91c-bde938bcdb49 · outbound

This paper cites Automatic selection of methods for solving stiff and nonstiff systems of ordinary differential equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Automatic selection of methods for solving stiff and nonstiff systems of ordinary differential equations

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:56.723433Z digest=sha256:51e034475be5e7a1c6db5d0c67d04536e94045cc83ecd936e7e3db92321a02ca

Observation b053cead-ca7f-432b-aad8-f5aa351732dc · outbound

This paper cites Multi-Level Modeling of Early COVID -19 Epidemic Dynamics in French Regions and Estimation of the Lockdown Impact on Infection Rate.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Multi-Level Modeling of Early COVID -19 Epidemic Dynamics in French Regions and Estimation of the Lockdown Impact on Infection Rate

Reference 48

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:56.757380Z digest=sha256:8142583df10bf86fc49574fb332c0111615017972e4073a53000840bbffad664

Observation 3bf97dd3-4480-4fcc-980f-ef6507e6cf5d · outbound

This paper cites Probabilistic ODE solvers with Runge - Kutta means.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Probabilistic ODE solvers with Runge - Kutta means

Reference 49

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:56.800430Z digest=sha256:1482776bc55e5aa51163667d7a608b0a87146c9600811218996b00a7f761f92b

Observation aa498f1e-499c-4987-bd63-f0ab258a5d5d · outbound

This paper cites A probabilistic model for the numerical solution of initial value problems.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations A probabilistic model for the numerical solution of initial value problems

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T22:26:56.845397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:26:56.845397Z digest=sha256:0c474b07e5487f4b1710a50429fa096b7e7ab67d0e31286ceb3a1908e8cdf43e

Observation 7a0ed493-c5f8-4046-b0f9-893dce9fa5ce · outbound

This paper cites FitzHugh--Nagumo Model , pp.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations FitzHugh--Nagumo Model , pp

Reference 51

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:56.880413Z digest=sha256:a918ea690c35190b2821937e5031fe5211d3fc3b3bf64f77823349160b6e61a9

Observation 684b5d36-8bcd-445a-bf4d-cbd80e9b2938 · outbound

This paper cites Bayesian solution of ordinary differential equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Bayesian solution of ordinary differential equations

Reference 52

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:56.921798Z digest=sha256:d541d7a612f1103cebf75597d620134d954609c52d4cd520119e56c3fd87496b

Observation a757a2b7-a7ad-4c63-8e7c-9450edf3b190 · outbound

This paper cites Stan Modeling Language Users Guide and Reference Manual.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Stan Modeling Language Users Guide and Reference Manual

Reference 53

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:56.976337Z digest=sha256:ea4e81cf432bbd3e39265666809831edd8334fe6be0c68894b76cc098ec83318

Observation 8370308b-031c-4de2-bad8-9ac241f2e798 · outbound

This paper cites Probabilistic linear multistep methods.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Probabilistic linear multistep methods

Reference 54

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:57.046342Z digest=sha256:e2bafc1f3e2a1d07d4198260371eaa4c66caa9afaee440055480a8bd77fc389b

Observation e9a7097a-f877-42d5-ac0d-016fd97fb8f3 · outbound

This paper cites Fenrir : Physics-Enhanced Regression for Initial Value Problems.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Fenrir : Physics-Enhanced Regression for Initial Value Problems

Reference 55

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:57.125213Z digest=sha256:fb75815622b95dd28e5065e17b59028bdddc9e2679034b8b178e47bfb8ec8071

Observation e321abb1-3963-4c6f-acab-800fa4172349 · outbound

This paper cites Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:26:59.897567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:57.198371Z digest=sha256:6a896f1c65a812c15366c71b2cb452bd9950f12c86c1297470501e8016dbc76d

Observation 45e8035e-3fbf-4947-837d-8ec9f285d07a · outbound

This paper cites Bayesian ODE solvers: the maximum a posteriori estimate.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Bayesian ODE solvers: the maximum a posteriori estimate

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T22:26:57.242993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:26:57.242993Z digest=sha256:eee4cd556103621bc095b5a7968b63b013cf9183d0eefe5d01ca3513bac16826

Observation 401e3709-b12c-44b6-8ba5-76e38dcc86c0 · outbound

This paper cites pCODE: Estimation of an Ordinary Differential Equation Model by Parameter Cascade Method.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations pCODE: Estimation of an Ordinary Differential Equation Model by Parameter Cascade Method

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:27:02.645412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:57.305470Z digest=sha256:da5aa8dd80b9020f86c65270cb094d7590dcb77b7861f4349cf1da63afe3c2f3

Observation 3c5a798f-bece-470f-bb14-81e9453e8332 · outbound

This paper cites ProbNum: Probabilistic Numerics in Python.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations ProbNum: Probabilistic Numerics in Python

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:26:59.595483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:57.361446Z digest=sha256:f6652f228af08fdf75bf4f3963a63b34bf3e179c7e42c337ee9d7a743bf1d0ce

Observation 68fdb94c-6b86-47fd-93fd-d1bbb88837a3 · outbound

This paper cites Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:27:02.424283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:57.436482Z digest=sha256:06b364cee166af4f55db5e0df95046ba2d2f7a28f755a0cedd026876825f7152

Observation 3114de77-09d9-4906-9bb8-b9ee63a77a56 · outbound

This paper cites Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:27:02.102597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:57.522310Z digest=sha256:bb00d5ed15c1c5d2f1b9006461566a07f78f4212d214983d05a2a39bde0d9631

Observation e3755a42-137e-4697-820c-d83400676216 · outbound

This paper cites Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes.

rodeo: Probabilistic Methods of Parameter Inference for Ordinary Differential Equations Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes

Reference 62

Resolution
verified exact
doi, observed 2026-08-06T22:26:57.737703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:26:57.606365Z digest=sha256:d3744efeda0df1b107714acbb718d56d5fc17f8333271a53c96335274c1c0f75

Pith citing papers

No inbound Pith citation observations are available.