Paper Citation Record · LEDGER

Active Learning of Model Discrepancy with Bayesian Experimental Design

As of 22 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 1 inbound Pith citation observation for arXiv:2502.05372.

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

pith.paper-citation-record.v1
2502.05372 v2

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:39:40.433711Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:18:02.185287Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:18:09.154780Z

Reference resolution

75 of 75 outbound references displayed

verified exact5
verified fuzzy40
unresolved27
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d8b9deaf-12c5-4802-829a-d50f8e702833 · outbound

This paper cites Turbulence modeling in the age of data.

Active Learning of Model Discrepancy with Bayesian Experimental Design Turbulence modeling in the age of data

Reference 1

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Observation 80798905-3a3f-4887-9b7d-5c5ce6e01c56 · outbound

This paper cites Mont ´ans, Francisco Chinesta, Rafael G ´omez-Bombarelli, and J.

Active Learning of Model Discrepancy with Bayesian Experimental Design Mont ´ans, Francisco Chinesta, Rafael G ´omez-Bombarelli, and J

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.854073Z

Source-reported events for the cited work

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Observation f1ed53e9-9945-4843-b1bf-94c3e8a7eb6a · outbound

This paper cites Machine learning for fluid mechanics.

Active Learning of Model Discrepancy with Bayesian Experimental Design Machine learning for fluid mechanics

Reference 3

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Source-reported events for the cited work

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Observation 64285c8c-e827-41a9-924d-f2edc6d53049 · outbound

This paper cites Dynamic mode decomposition: data-driven modeling of complex systems.

Active Learning of Model Discrepancy with Bayesian Experimental Design Dynamic mode decomposition: data-driven modeling of complex systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T19:39:39.956880Z

Source-reported events for the cited work

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Observation c8fdecde-8bc9-4461-b026-13b54d7f674a · outbound

This paper cites Data-driven operator inference for nonintrusive projection-based model reduction.

Active Learning of Model Discrepancy with Bayesian Experimental Design Data-driven operator inference for nonintrusive projection-based model reduction

Reference 5

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Observation 3c46bbf5-7c0f-4b03-a54c-886600d79b86 · outbound

This paper cites Physics-informed machine learning approach for reconstructing reynolds stress modeling discrepancies based on dns data.Physical Review Fluids, 2(3):034603, 2017.

Active Learning of Model Discrepancy with Bayesian Experimental Design Physics-informed machine learning approach for reconstructing reynolds stress modeling discrepancies based on dns data.Physical Review Fluids, 2(3):034603, 2017

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.790090Z

Source-reported events for the cited work

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Observation 012b998c-6c74-46b9-bcc4-e612e0ae898d · outbound

This paper cites Physics-informed machine learning approach for augmenting turbulence models: A comprehensive framework.

Active Learning of Model Discrepancy with Bayesian Experimental Design Physics-informed machine learning approach for augmenting turbulence models: A comprehensive framework

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.773187Z

Source-reported events for the cited work

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Observation e62895ba-1f26-4c49-a74e-143e85b5d066 · outbound

This paper cites Physics-informed neural net- works: A deep learning framework for solving forward and inverse problems involving non- linear partial differential equations.

Active Learning of Model Discrepancy with Bayesian Experimental Design Physics-informed neural net- works: A deep learning framework for solving forward and inverse problems involving non- linear partial differential equations

Reference 8

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Source-reported events for the cited work

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Observation b7a01f26-6151-4fab-9420-b3cb85fb5f1d · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Active Learning of Model Discrepancy with Bayesian Experimental Design Fourier Neural Operator for Parametric Partial Differential Equations

Reference 9

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Source-reported events for the cited work

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Observation 5be174ec-9fd1-4fa8-aff1-3e0392f43330 · outbound

This paper cites Learn- ing nonlinear operators via deeponet based on the universal approximation theorem of oper- ators.

Active Learning of Model Discrepancy with Bayesian Experimental Design Learn- ing nonlinear operators via deeponet based on the universal approximation theorem of oper- ators

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.746683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c4d7f7b-a67e-4e87-80bc-f381657221d0 · outbound

This paper cites Machine learning–accelerated computational fluid dynamics.

Active Learning of Model Discrepancy with Bayesian Experimental Design Machine learning–accelerated computational fluid dynamics

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fe86554-bf5c-4cae-8920-14851a99cc33 · outbound

This paper cites A causality-based learning approach for discovering the un- derlying dynamics of complex systems from partial observations with stochastic parameteri- zation.

Active Learning of Model Discrepancy with Bayesian Experimental Design A causality-based learning approach for discovering the un- derlying dynamics of complex systems from partial observations with stochastic parameteri- zation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.719556Z

Source-reported events for the cited work

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Observation 37147ca3-cf1f-4def-bca4-f73b77a3968f · outbound

This paper cites CEBoosting: Online sparse identification of dynamical systems with regime switching by causation entropy boosting.

Active Learning of Model Discrepancy with Bayesian Experimental Design CEBoosting: Online sparse identification of dynamical systems with regime switching by causation entropy boosting

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.703234Z

Source-reported events for the cited work

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Observation b36b8740-51e1-4b2d-a4da-eb23bb450a06 · outbound

This paper cites CGNSDE: Conditional Gaussian neural stochastic differential equation for modeling complex systems and data assimilation.

Active Learning of Model Discrepancy with Bayesian Experimental Design CGNSDE: Conditional Gaussian neural stochastic differential equation for modeling complex systems and data assimilation

Reference 14

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Observation b11d556b-cd28-48e7-b7f4-4f88ff249781 · outbound

This paper cites CGKN: A deep learning frame- work for modeling complex dynamical systems and efficient data assimilation.

Active Learning of Model Discrepancy with Bayesian Experimental Design CGKN: A deep learning frame- work for modeling complex dynamical systems and efficient data assimilation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.676870Z

Source-reported events for the cited work

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Observation a3900abe-03aa-46a4-b146-f4c989897c46 · outbound

This paper cites Modeling partially observed nonlinear dynamical systems and efficient data assimilation via discrete-time conditional gaussian koopman network.

Active Learning of Model Discrepancy with Bayesian Experimental Design Modeling partially observed nonlinear dynamical systems and efficient data assimilation via discrete-time conditional gaussian koopman network

Reference 16

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Source-reported events for the cited work

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Observation d06cf25c-044c-427a-b4c9-1183de01b4ba · outbound

This paper cites Atkinson and William G.

Active Learning of Model Discrepancy with Bayesian Experimental Design Atkinson and William G

Reference 17

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Source-reported events for the cited work

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Observation e6b37222-eb0a-440b-be93-5ed1ec2c19c6 · outbound

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Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 18

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Observation 5f570505-3fd5-4c19-bbda-524bd288b2b8 · outbound

This paper cites an unresolved cited work.

Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 19

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Observation 99031091-b2aa-43d9-9c46-ceeed5a5645f · outbound

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Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:39:41.615408Z

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Observation a4dae214-93c0-4b70-9237-be9db33f457a · outbound

This paper cites Ryan, Christopher C.

Active Learning of Model Discrepancy with Bayesian Experimental Design Ryan, Christopher C

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.595120Z

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Observation 0572e9a1-b0f4-458d-8787-620409a8aaf0 · outbound

This paper cites Bayes linear analysis for Bayesian optimal experimental design.

Active Learning of Model Discrepancy with Bayesian Experimental Design Bayes linear analysis for Bayesian optimal experimental design

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.576363Z

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Observation 94eae0b9-79ab-4066-9b29-162d119b293b · outbound

This paper cites an unresolved cited work.

Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 23

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Observation d7a89bb3-330a-4cd0-8e37-f68f6215f94b · outbound

This paper cites Modern Bayesian Experimental Design.

Active Learning of Model Discrepancy with Bayesian Experimental Design Modern Bayesian Experimental Design

Reference 24

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Observation 0146a1c4-fb45-4528-8ffc-8508ed9db89e · outbound

This paper cites Applied Statistical Decision Theory.

Active Learning of Model Discrepancy with Bayesian Experimental Design Applied Statistical Decision Theory

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.545774Z

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Observation 5e4409c6-e9a9-4bba-9d2b-d906bdcbaefb · outbound

This paper cites an unresolved cited work.

Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 26

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Observation 30e1c6cd-c931-45de-bf81-1f43021e882e · outbound

This paper cites an unresolved cited work.

Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 27

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Observation 43932105-06bc-4d64-b37f-11f9fadd8b24 · outbound

This paper cites Bayesian Experimental Design: A Review.

Active Learning of Model Discrepancy with Bayesian Experimental Design Bayesian Experimental Design: A Review

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.483150Z

Source-reported events for the cited work

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Observation e04b8caf-893b-4664-a485-94fa56fbb0e9 · outbound

This paper cites Bayesian Decision Procedures for Dose De- termining Experiments.

Active Learning of Model Discrepancy with Bayesian Experimental Design Bayesian Decision Procedures for Dose De- termining Experiments

Reference 29

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Observation 2f8135d0-d9ad-4e7f-aa2c-14525529d1ab · outbound

This paper cites Cavagnaro, Jay I.

Active Learning of Model Discrepancy with Bayesian Experimental Design Cavagnaro, Jay I

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.466519Z

Source-reported events for the cited work

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Observation c8e57bcb-16f8-41a0-86d7-22d4614f04f7 · outbound

This paper cites Drovandi, James M.

Active Learning of Model Discrepancy with Bayesian Experimental Design Drovandi, James M

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.450419Z

Source-reported events for the cited work

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Observation bbaa350f-b642-489c-88f9-4e788881eaf8 · outbound

This paper cites Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods.

Active Learning of Model Discrepancy with Bayesian Experimental Design Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods

Reference 32

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Source-reported events for the cited work

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Observation 5e9fa039-d407-4527-ad16-4aed415917b5 · outbound

This paper cites Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design.

Active Learning of Model Discrepancy with Bayesian Experimental Design Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design

Reference 33

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T19:39:40.782933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 874d985a-78ee-46cf-8c5b-3dc375fd7366 · outbound

This paper cites Gradient-based stochastic optimization methods in Bayesian experimental design.

Active Learning of Model Discrepancy with Bayesian Experimental Design Gradient-based stochastic optimization methods in Bayesian experimental design

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-08T19:39:40.760356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 870bc0b3-26c2-4679-81a6-97958f1d1376 · outbound

This paper cites Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning.

Active Learning of Model Discrepancy with Bayesian Experimental Design Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning

Reference 35

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Source-reported events for the cited work

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Observation 4ad62aac-ce4f-4e64-ba5d-b64c39067d97 · outbound

This paper cites Optimal experimental design: Formulations and computations.

Active Learning of Model Discrepancy with Bayesian Experimental Design Optimal experimental design: Formulations and computations

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-08T19:39:40.721719Z

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Observation 656bddb3-7985-44fc-8ccc-d3238fffb7cc · outbound

This paper cites Berry, Andy P.

Active Learning of Model Discrepancy with Bayesian Experimental Design Berry, Andy P

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.433620Z

Source-reported events for the cited work

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Observation 2a00f1f0-6dca-4ce5-9e74-e7a6375c4bf5 · outbound

This paper cites Bayesian inference in physics.

Active Learning of Model Discrepancy with Bayesian Experimental Design Bayesian inference in physics

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.417879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6b5aa291-9afd-448c-af0d-371e0d434daa · outbound

This paper cites Numerical approaches for sequential Bayesian optimal experimental design.

Active Learning of Model Discrepancy with Bayesian Experimental Design Numerical approaches for sequential Bayesian optimal experimental design

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.402194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation da6b9967-3177-414e-a6a9-ef98c0f72ed6 · outbound

This paper cites an unresolved cited work.

Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:39:41.385510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 56ed4d2f-cd6f-439e-945e-7ee53205bb1a · outbound

This paper cites Drovandi, James M.

Active Learning of Model Discrepancy with Bayesian Experimental Design Drovandi, James M

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.370253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 565e821e-b533-46a9-81ea-55a62347ff2a · outbound

This paper cites Sequential Bayesian Experimental Design for Implicit Models via Mutual Information.

Active Learning of Model Discrepancy with Bayesian Experimental Design Sequential Bayesian Experimental Design for Implicit Models via Mutual Information

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-08T19:39:40.697923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 189b917f-72f2-4776-ab98-e7e7637b4905 · outbound

This paper cites Sequential Bayesian optimal experimental design via approximate dynamic programming.

Active Learning of Model Discrepancy with Bayesian Experimental Design Sequential Bayesian optimal experimental design via approximate dynamic programming

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T19:39:40.159167Z

Source-reported events for the cited work

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Observation 28d1e9ee-2a7b-4996-9b63-6c8bb8019d9a · outbound

This paper cites Kennedy and Anthony O’Hagan.

Active Learning of Model Discrepancy with Bayesian Experimental Design Kennedy and Anthony O’Hagan

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.354751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a08698a7-2f79-4afe-8e44-93577cf66445 · outbound

This paper cites Inconsistency of Bayesian Inference for Misspeci- fied Linear Models, and a Proposal for Repairing It.

Active Learning of Model Discrepancy with Bayesian Experimental Design Inconsistency of Bayesian Inference for Misspeci- fied Linear Models, and a Proposal for Repairing It

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.339001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1a6cbb49-1ea3-46b9-a587-199b26e1aa24 · outbound

This paper cites Learning about physical parameters: the impor- tance of model discrepancy.

Active Learning of Model Discrepancy with Bayesian Experimental Design Learning about physical parameters: the impor- tance of model discrepancy

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.322912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9af680a1-00fc-4419-bc8e-f2c8bb7fe9b4 · outbound

This paper cites Metrics for Bayesian Optimal Experiment Design under Model Misspecification.

Active Learning of Model Discrepancy with Bayesian Experimental Design Metrics for Bayesian Optimal Experiment Design under Model Misspecification

Reference 47

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T19:39:40.659013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e12a7fbb-1f6c-4145-a627-b3d2a039bae1 · outbound

This paper cites Optimal Bayesian experimental design in the presence of model error.

Active Learning of Model Discrepancy with Bayesian Experimental Design Optimal Bayesian experimental design in the presence of model error

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.306893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 74a80dd6-1e2c-4dca-ac2c-0fa82c55ce2c · outbound

This paper cites an unresolved cited work.

Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:39:41.290041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1a06a674-b7ec-4740-8d6e-7217dd319d26 · outbound

This paper cites an unresolved cited work.

Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:39:41.275580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 179494a5-d728-4b78-83f5-393fd01c9099 · outbound

This paper cites an unresolved cited work.

Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:39:41.259896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2418e0d9-fec7-4564-ba40-161794b79e66 · outbound

This paper cites Iglesias, Kody J.

Active Learning of Model Discrepancy with Bayesian Experimental Design Iglesias, Kody J

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.245635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b407724e-b8de-4934-9c07-1c96d2e264b9 · outbound

This paper cites Kovachki and Andrew M.

Active Learning of Model Discrepancy with Bayesian Experimental Design Kovachki and Andrew M

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.229853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ca222757-f880-42b4-8e4d-e7811bb8581d · outbound

This paper cites Learning about struc- tural errors in models of complex dynamical systems.

Active Learning of Model Discrepancy with Bayesian Experimental Design Learning about struc- tural errors in models of complex dynamical systems

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.215926Z

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Observation 9b170b91-2c08-49b4-b487-9eb300242b7d · outbound

This paper cites Neural dynamical operator: Continuous spatial-temporal model with gradient-based and derivative-free optimization methods.

Active Learning of Model Discrepancy with Bayesian Experimental Design Neural dynamical operator: Continuous spatial-temporal model with gradient-based and derivative-free optimization methods

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.199613Z

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Observation 3b74c719-682a-480a-b354-20b4bef3cda9 · outbound

This paper cites Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator.

Active Learning of Model Discrepancy with Bayesian Experimental Design Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-08T19:39:40.519062Z

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Observation 2c8aa06a-e5b7-47a7-8e5a-b847da1f01c5 · outbound

This paper cites Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models.

Active Learning of Model Discrepancy with Bayesian Experimental Design Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T19:39:40.350782Z

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Observation 0a17e1ea-b47f-4ea2-ba3b-ec9a18dfe2ce · outbound

This paper cites Lorentzen, and Tuhin Bhakta.

Active Learning of Model Discrepancy with Bayesian Experimental Design Lorentzen, and Tuhin Bhakta

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.183440Z

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Observation 400de069-68bd-4740-87c8-19dc77f472f5 · outbound

This paper cites an unresolved cited work.

Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:39:41.168452Z

Source-reported events for the cited work

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Observation 113f6bee-80b7-4fca-a023-faea797c7e8f · outbound

This paper cites an unresolved cited work.

Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:39:41.154018Z

Source-reported events for the cited work

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Observation 871036fe-72de-4777-a610-9d0cb18d39e2 · outbound

This paper cites Closed-loop model-based design of experiments for kinetic model dis- crimination and parameter estimation: Benzoic acid esterification on a heterogeneous cata- lyst.

Active Learning of Model Discrepancy with Bayesian Experimental Design Closed-loop model-based design of experiments for kinetic model dis- crimination and parameter estimation: Benzoic acid esterification on a heterogeneous cata- lyst

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.138369Z

Source-reported events for the cited work

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Observation 275e647b-42cb-490e-8689-081f325d8fa3 · outbound

This paper cites Bernal Neira, and Alexander W.

Active Learning of Model Discrepancy with Bayesian Experimental Design Bernal Neira, and Alexander W

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.122260Z

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Observation 662048ad-8e1b-411c-9d3e-0fd3304d4536 · outbound

This paper cites On automatic differentiation.

Active Learning of Model Discrepancy with Bayesian Experimental Design On automatic differentiation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.105286Z

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Observation 56c1c161-ad24-4f49-9191-4fadb77a9cc0 · outbound

This paper cites Compiling machine learning pro- grams via high-level tracing.

Active Learning of Model Discrepancy with Bayesian Experimental Design Compiling machine learning pro- grams via high-level tracing

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.089888Z

Source-reported events for the cited work

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Observation 634e6b90-2138-4944-949c-e6d1ed14e511 · outbound

This paper cites Methods of Mathematical Physics.

Active Learning of Model Discrepancy with Bayesian Experimental Design Methods of Mathematical Physics

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.074328Z

Source-reported events for the cited work

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Observation 7b2ff26c-35f4-41ba-83ae-ab54c004a54f · outbound

This paper cites A tutorial on the adjoint method for inverse problems.

Active Learning of Model Discrepancy with Bayesian Experimental Design A tutorial on the adjoint method for inverse problems

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.059715Z

Source-reported events for the cited work

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Observation 1a4cda78-fb97-414a-9e43-4a77eec3a11b · outbound

This paper cites Adjoint sensitivity analysis for differential- algebraic equations: algorithms and software.

Active Learning of Model Discrepancy with Bayesian Experimental Design Adjoint sensitivity analysis for differential- algebraic equations: algorithms and software

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.044219Z

Source-reported events for the cited work

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Observation 9a865d07-4c0e-44fc-9476-08a53bf4e1c7 · outbound

This paper cites JAX: composable transformations of Python+NumPy programs, 2018.

Active Learning of Model Discrepancy with Bayesian Experimental Design JAX: composable transformations of Python+NumPy programs, 2018

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-08T19:39:40.404447Z

Source-reported events for the cited work

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Observation 74cd0893-e46a-4e43-92e8-dea3dcb0d7ee · outbound

This paper cites Smith, Ayya Alieva, Qing Wang, Michael P.

Active Learning of Model Discrepancy with Bayesian Experimental Design Smith, Ayya Alieva, Qing Wang, Michael P

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:41.018121Z

Source-reported events for the cited work

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Observation 8b31f15b-552e-4a29-81f7-fba32d8fd3e6 · outbound

This paper cites an unresolved cited work.

Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:39:40.999417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 415f3ce5-c9eb-4282-852f-bcec6b651050 · outbound

This paper cites Methods of Mathematical Physics, Vol.

Active Learning of Model Discrepancy with Bayesian Experimental Design Methods of Mathematical Physics, Vol

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:40.983912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8a80df73-7734-49df-826f-b9dbb410b917 · outbound

This paper cites Atkinson.

Active Learning of Model Discrepancy with Bayesian Experimental Design Atkinson

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:40.969573Z

Source-reported events for the cited work

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Observation cc95aad8-5564-48ce-a70a-8531d067dee7 · outbound

This paper cites Large-scale bayesian optimal experimental design with derivative-informed projected neural network.

Active Learning of Model Discrepancy with Bayesian Experimental Design Large-scale bayesian optimal experimental design with derivative-informed projected neural network

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:39:40.954420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 420fb0e2-b550-4c75-affe-43aca75f0e3f · outbound

This paper cites an unresolved cited work.

Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:39:40.938139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8573ff30-6975-4487-af89-0e92aea6d9cf · outbound

This paper cites an unresolved cited work.

Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T19:39:40.194436Z

Source-reported events for the cited work

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Pith citing papers

Observation d552e5ae-b5d6-40ec-8b6b-44158288af8b · inbound

Modeling Partially Observed Nonlinear Dynamical Systems and Efficient Data Assimilation via Discrete-Time Conditional Gaussian Koopman Network cites this paper.

Modeling Partially Observed Nonlinear Dynamical Systems and Efficient Data Assimilation via Discrete-Time Conditional Gaussian Koopman Network Active Learning of Model Discrepancy with Bayesian Experimental Design

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:18:09.251956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.