Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-22T12:43:18.499079Z
Paper Citation Record · LEDGER
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields
As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2509.26005.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
53 of 53 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5921d8a3-dcd9-4e3b-b17c-4ddbcf47b5c1 · outbound
This paper cites Gaussian processes with linear operator inequality constraints.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Gaussian processes with linear operator inequality constraints
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7b41fb0e-488d-4851-b2d5-be00c67feb04 · outbound
This paper cites Kernels for vector-valued functions: A review.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Kernels for vector-valued functions: A review
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 20553035-a1a5-4166-995f-5d0064ec242c · outbound
This paper cites A Bayesian approach to Lagrangian data assimilation.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields A Bayesian approach to Lagrangian data assimilation
Reference 3
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 55fee479-6622-439c-bc8a-a03da1820600 · outbound
This paper cites Gaussian processes at the Helm (holtz) a more fluid model for ocean currents.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Gaussian processes at the Helm (holtz) a more fluid model for ocean currents
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ce52307a-85bf-46ae-acfa-51a39e333ad2 · outbound
This paper cites The Helmholtz-Hodge decomposition—a survey.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields The Helmholtz-Hodge decomposition—a survey
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 95014442-9d19-41e3-848b-32a15593cd09 · outbound
This paper cites A causation-based computationally efficient strategy for deploying Lagrangian drifters to improve real-time state estimation.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields A causation-based computationally efficient strategy for deploying Lagrangian drifters to improve real-time state estimation
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d9313808-314d-4109-a12a-7d865dd2a6cd · outbound
This paper cites Lagrangian descriptors with uncertainty.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Lagrangian descriptors with uncertainty
Reference 7
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5657cca3-8383-447c-92fd-c4558d9b1d3c · outbound
This paper cites Launching drifter observations in the presence of uncertainty.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Launching drifter observations in the presence of uncertainty
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d9885737-88c9-48de-8907-a98279a441a2 · outbound
This paper cites an unresolved cited work.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Unresolved cited work
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 19b1d588-01a0-41cb-91a0-79903f554270 · outbound
This paper cites Ocean circulation kinetic energy: Reservoirs, sources, and sinks.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Ocean circulation kinetic energy: Reservoirs, sources, and sinks
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a24b54c5-25e2-4246-b950-d89b122e8a00 · outbound
This paper cites Deep adaptive design: Amortizing sequential Bayesian experimental design.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Deep adaptive design: Amortizing sequential Bayesian experimental design
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4ef21d0c-c5c8-46d2-adaf-584bd3828b2a · outbound
This paper cites An unstructured-grid, finite-volume, nonhydrostatic, parallel coastal ocean simulator.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields An unstructured-grid, finite-volume, nonhydrostatic, parallel coastal ocean simulator
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 52fb66df-9038-45c2-8811-285b16567668 · outbound
This paper cites Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d54f2e04-a67c-4ba4-8104-2b4d01d621f2 · outbound
This paper cites Lagrangian Analysis and Prediction of Coastal and Ocean Dynamics.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Lagrangian Analysis and Prediction of Coastal and Ocean Dynamics
Reference 14
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 98affb46-0fd5-4086-b079-bec65eb19e5e · outbound
This paper cites Spatio-temporal variational Gaussian processes.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Spatio-temporal variational Gaussian processes
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 53aafdb6-083e-4bbf-b066-5005a695e33d · outbound
This paper cites Physics-Informed Variational State-Space Gaussian Processes.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Physics-Informed Variational State-Space Gaussian Processes
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1371aa5d-1220-475e-bcb6-778e51b2af7c · outbound
This paper cites Kalman filtering and smoothing solutions to temporal Gaussian process regression models.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Kalman filtering and smoothing solutions to temporal Gaussian process regression models
Reference 17
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f2cd126d-7124-4507-a2e6-48ece58f9a18 · outbound
This paper cites Nesting particle filters for experimental design in dynamical systems.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Nesting particle filters for experimental design in dynamical systems
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation aa068aad-7f21-4597-b1e9-b7f455bfc62a · outbound
This paper cites Oil spill modeling: A critical review on current trends, perspectives, and challenges.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Oil spill modeling: A critical review on current trends, perspectives, and challenges
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f9fe8c2b-4090-4542-8a97-c836dbf5aa6b · outbound
This paper cites Robust and Conjugate Spatio-Temporal Gaussian Processes.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Robust and Conjugate Spatio-Temporal Gaussian Processes
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fb5dc7c0-bee9-4df6-b9c5-2509762142a3 · outbound
This paper cites A gridded surface current product for the Gulf of Mexico from consolidated drifter measurements.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields A gridded surface current product for the Gulf of Mexico from consolidated drifter measurements
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 434a6a1c-376b-4c6d-aebd-0b1bc8abe325 · outbound
This paper cites Fractional Brownian motion, the Mat \'e rn process, and stochastic modeling of turbulent dispersion.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Fractional Brownian motion, the Mat \'e rn process, and stochastic modeling of turbulent dispersion
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 69b34bbf-f138-4255-86ba-b0bf67347475 · outbound
This paper cites An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d0de3266-00ab-4d8c-a0fe-fef44d20d3a0 · outbound
This paper cites The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields The SPDE approach for Gaussian and non-Gaussian fields: 10 years and still running
Reference 24
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b33d9893-cc58-41cd-9a1e-6f4f9088d6d4 · outbound
This paper cites On a measure of the information provided by an experiment.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields On a measure of the information provided by an experiment
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1486e3cd-40c5-4dc7-8f7a-14a75934db49 · outbound
This paper cites Advances in the application of surface drifters.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Advances in the application of surface drifters
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2bf8df8a-cd23-4c68-a423-7f43e50ee518 · outbound
This paper cites Lagrangian descriptors: A method for revealing phase space structures of general time dependent dynamical systems.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Lagrangian descriptors: A method for revealing phase space structures of general time dependent dynamical systems
Reference 27
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8907b1df-c9f0-4b08-bf1b-517fe2ea3e99 · outbound
This paper cites GPJax: A Gaussian Process Framework in JAX.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields GPJax: A Gaussian Process Framework in JAX
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7a639294-b9f5-4cb7-bc51-973cdf2ae495 · outbound
This paper cites Drifter launch strategies based on Lagrangian templates.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Drifter launch strategies based on Lagrangian templates
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ceb81a65-d34e-4578-8624-8429d896773c · outbound
This paper cites Inferring flow energy, space scales, and timescales: freely drifting vs.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Inferring flow energy, space scales, and timescales: freely drifting vs
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3c5fbb2f-379d-459c-848e-6cd9e4c6bdce · outbound
This paper cites Modern Bayesian experimental design.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Modern Bayesian experimental design
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ef65bb99-89be-400a-9c6f-13dfc5f4b3f6 · outbound
This paper cites A seasonal harmonic model for internal tide amplitude prediction.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields A seasonal harmonic model for internal tide amplitude prediction
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 25b0a6c3-6e9e-47ee-89d7-61b457a0a982 · outbound
This paper cites Monte Carlo Statistical Methods , volume 2.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Monte Carlo Statistical Methods , volume 2
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0862bc25-ba25-4336-ba18-d7d23138252e · outbound
This paper cites Gaussian Markov Random Fields: Theory and Applications.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Gaussian Markov Random Fields: Theory and Applications
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a04d812b-4f54-4a4f-9c67-04b018d8c565 · outbound
This paper cites A review of modern computational algorithms for Bayesian optimal design.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields A review of modern computational algorithms for Bayesian optimal design
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 79e59a05-713e-45a6-8a9c-2457d328f957 · outbound
This paper cites Scalable inference for structured Gaussian process models.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Scalable inference for structured Gaussian process models
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 9a95917b-1e75-409a-8366-0b1c215342a5 · outbound
This paper cites Using flow geometry for drifter deployment in Lagrangian data assimilation.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Using flow geometry for drifter deployment in Lagrangian data assimilation
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 2026-08-10T06:31:04.303077+00:00.
Observation ebbe38cb-61e1-4044-acb8-e32ec72f38b6 · outbound
This paper cites Applied Stochastic Differential Equations , volume 10.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Applied Stochastic Differential Equations , volume 10
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 37dbc13e-13ba-48f7-84ef-41a0d0e2e8a5 · outbound
This paper cites Spatiotemporal learning via infinite-dimensional Bayesian filtering and smoothing: A look at Gaussian process regression through Kalman filtering.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Spatiotemporal learning via infinite-dimensional Bayesian filtering and smoothing: A look at Gaussian process regression through Kalman filtering
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fa536cff-0448-42db-bbc4-b8c6b4188b90 · outbound
This paper cites Active learning literature survey.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Active learning literature survey
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 2026-08-10T06:31:04.303077+00:00.
Observation 3a9077dd-4dac-4fc3-9c0b-6d65c2a10e5d · outbound
This paper cites Prediction-Centric Uncertainty Quantification via MMD.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Prediction-Centric Uncertainty Quantification via MMD
Reference 41
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 360ab29e-8c6c-44af-a040-a4959c261e9b · outbound
This paper cites Stochastic differential equation methods for spatio-temporal Gaussian process regression.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Stochastic differential equation methods for spatio-temporal Gaussian process regression
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 2026-08-10T06:31:04.303077+00:00.
Observation b69b1d89-0fc1-4561-aa5f-7284c5fe3cb0 · outbound
This paper cites Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
Reference 43
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2d53baa1-9cfe-4d68-b9d4-63de5b0c3990 · outbound
This paper cites An Introduction to Numerical Analysis.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields An Introduction to Numerical Analysis
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:44:52.879125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ee08c1a2-dc40-4839-b95f-8a665706146b · outbound
This paper cites Numerical Linear Algebra , volume 50.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Numerical Linear Algebra , volume 50
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:44:52.875985Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 93800895-1865-43c1-87da-5d3aaa34a612 · outbound
This paper cites An efficient drifters deployment strategy to evaluate water current velocity fields.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields An efficient drifters deployment strategy to evaluate water current velocity fields
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:44:52.872379Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 03ec158e-e34c-4b85-b737-fef98f112f1a · outbound
This paper cites Dispersion of surface drifters in the tropical Atlantic.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Dispersion of surface drifters in the tropical Atlantic
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:44:52.845698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f0eaf690-95bf-4de8-b0ab-952f661c6387 · outbound
This paper cites Nearshore internal bores and turbulent mixing in southern Monterey Bay.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Nearshore internal bores and turbulent mixing in southern Monterey Bay
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:44:52.874165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation adb53b6f-c8d1-4cd4-8d5c-78626a216304 · outbound
This paper cites On stationary processes in the plane.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields On stationary processes in the plane
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:44:52.864790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2098f280-6c3f-4287-91e3-7d71969c8229 · outbound
This paper cites Stochastic processes in several dimensions.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Stochastic processes in several dimensions
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:44:52.860468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d2602f0e-a9c4-4b8a-8cb9-90841271f7e4 · outbound
This paper cites Gaussian Processes for Machine Learning , volume 2.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields Gaussian Processes for Machine Learning , volume 2
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:44:52.842796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ca9d89ea-2f4a-4363-aafe-8ec286729931 · outbound
This paper cites HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:44:52.856461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 1f178c85-2fec-407d-8fcb-edb39499c7c1 · outbound
This paper cites BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories.
BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories under Spatio-Temporal Vector Fields BALLAST: Bayesian Active Learning with Look-ahead Amendment for Sea-drifter Trajectories
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-22T12:44:52.852859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.