Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T19:39:40.433711Z
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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:18:02.185287Z
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
- malformed identifier0
- metadata mismatch3
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:39:41.873463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:39:39.951758Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Unavailable: canonical work link unavailable.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:39:41.807554Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:39:39.977397Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:39:39.981985Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-21T06:32:19.484+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
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:39:39.991726Z
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:39:40.009174Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T19:39:41.661544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:39:40.024298Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6b37222-eb0a-440b-be93-5ed1ec2c19c6 · outbound
This paper cites an unresolved cited work.
Active Learning of Model Discrepancy with Bayesian Experimental Design Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:39:41.646226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:39:41.631020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 99031091-b2aa-43d9-9c46-ceeed5a5645f · outbound
This paper cites an unresolved cited work.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:39:41.561193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:39:40.059110Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:39:41.529134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T19:39:41.500507Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
- Resolution
- verified exact
- doi, observed 2026-08-08T19:39:40.476268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-08T19:39:40.805797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:39:40.115786Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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
Unavailable: canonical work link unavailable.
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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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
Unavailable: canonical work link unavailable.
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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+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
Unavailable: canonical work link unavailable.
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 2026-08-21T06:32:19.484+00:00.