Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:37:04.355381Z
Paper Citation Record · LEDGER
Evaluating Uncertainty in Deep Gaussian Processes
As of 23 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2504.17719.
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 2026-08-22T06:32:14.747728+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
29 of 29 outbound references displayed
- verified exact4
- verified fuzzy11
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 53d96a5d-0de6-4fe9-bd75-b601c5b6b0e7 · outbound
This paper cites Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state.
Evaluating Uncertainty in Deep Gaussian Processes Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
Reference 1
- Resolution
- verified exact
- doi, observed 2026-08-16T10:37:04.441001Z
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 6c10ac79-44e7-4881-b7cc-c3bbc9e88b0d · outbound
This paper cites Understanding Probabilistic Sparse Gaussian Process Approximations.
Evaluating Uncertainty in Deep Gaussian Processes Understanding Probabilistic Sparse Gaussian Process Approximations
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:37:04.223650Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac70c097-2896-40b5-a021-2f2737154ef3 · outbound
This paper cites Safe exploration in reinforcement learning: Theory and applications in robotics.
Evaluating Uncertainty in Deep Gaussian Processes Safe exploration in reinforcement learning: Theory and applications in robotics
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:37:04.999269Z
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 9e1be7cd-7550-437b-9f98-46450be9fc10 · outbound
This paper cites Off-policy reinforcement learning with gaussian processes.
Evaluating Uncertainty in Deep Gaussian Processes Off-policy reinforcement learning with gaussian processes
Reference 4
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-16T10:37:04.745557Z
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 6fcef5a4-4336-4956-b565-ab201c335066 · outbound
This paper cites an unresolved cited work.
Evaluating Uncertainty in Deep Gaussian Processes Unresolved cited work
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:37:04.238611Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f44bf5c-7182-4045-9d6d-de0b6c7f8f22 · outbound
This paper cites Lawrence.
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:37:04.983299Z
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 8fa07bbd-821a-42c7-bfc6-919464521351 · outbound
This paper cites Reinforcement learning with gaussian processes.
Evaluating Uncertainty in Deep Gaussian Processes Reinforcement learning with gaussian processes
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:37:04.248393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a75081e0-a642-4a5f-9b41-934339ba3166 · outbound
This paper cites Generalisation in humans and deep neural networks.Advances in neural information processing systems, 31, 2018.
Evaluating Uncertainty in Deep Gaussian Processes Generalisation in humans and deep neural networks.Advances in neural information processing systems, 31, 2018
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:37:04.253005Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 819404e7-de9a-4a98-ac9c-f62b34c6f6f1 · outbound
This paper cites Sample efficient reinforcement learn- ing with gaussian processes.
Evaluating Uncertainty in Deep Gaussian Processes Sample efficient reinforcement learn- ing with gaussian processes
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:37:04.958694Z
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 f7379468-bcd3-4d1f-9a8d-bb7452c33146 · outbound
This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.
Evaluating Uncertainty in Deep Gaussian Processes Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:37:04.262459Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e313f205-d696-4c76-bbf7-9dc6d85c1b00 · outbound
This paper cites AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty.
Evaluating Uncertainty in Deep Gaussian Processes AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:37:04.267119Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7520345-7d08-4520-8f7d-731f8d5ce21d · outbound
This paper cites Scalable Variational Gaussian Process Classification.
Evaluating Uncertainty in Deep Gaussian Processes Scalable Variational Gaussian Process Classification
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:37:04.943493Z
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 74e3e7f9-7498-4724-aeb2-e997ded1d949 · outbound
This paper cites Adversarial examples are not bugs, they are features.Advances in neural information processing systems, 32, 2019.
Evaluating Uncertainty in Deep Gaussian Processes Adversarial examples are not bugs, they are features.Advances in neural information processing systems, 32, 2019
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:37:04.276903Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5fdd9e0-e9f6-4590-b77a-f103f288b08f · outbound
This paper cites Deepsigmapointprocesses.
Evaluating Uncertainty in Deep Gaussian Processes Deepsigmapointprocesses
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:37:04.917675Z
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 3112e2f0-4730-4340-942d-29694874099a · outbound
This paper cites Reinforcement learning with gaussian process regression using variational free energy.
Evaluating Uncertainty in Deep Gaussian Processes Reinforcement learning with gaussian process regression using variational free energy
Reference 15
- Resolution
- verified exact
- doi, observed 2026-08-16T10:37:04.424123Z
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 804726bf-8f50-4bea-bc7c-58c5824df8b2 · outbound
This paper cites Simple and scal- able predictive uncertainty estimation using deep ensembles.
Evaluating Uncertainty in Deep Gaussian Processes Simple and scal- able predictive uncertainty estimation using deep ensembles
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:37:04.900781Z
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 dfcfa455-bba9-4a75-9160-1d08fec3f1a4 · outbound
This paper cites Interpretable function approximation with gaussian processes in value-based model-free reinforcement learning.
Evaluating Uncertainty in Deep Gaussian Processes Interpretable function approximation with gaussian processes in value-based model-free reinforcement learning
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:37:04.885299Z
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 7a8e5688-cce6-491b-8a3c-6d5f3c6d24f4 · outbound
This paper cites A review of uncertainty for deep reinforcement learn- ing.
Evaluating Uncertainty in Deep Gaussian Processes A review of uncertainty for deep reinforcement learn- ing
Reference 18
- Resolution
- verified exact
- doi, observed 2026-08-16T10:37:04.406974Z
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 a5692034-8cb9-4bc6-b57e-42f4cf530da5 · outbound
This paper cites Murphy.Probabilistic Machine Learning: Advanced Topics.
Evaluating Uncertainty in Deep Gaussian Processes Murphy.Probabilistic Machine Learning: Advanced Topics
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:37:04.869372Z
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 968d923b-1f1e-4c53-9e7a-561ed1bbf84b · outbound
This paper cites Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift.
Evaluating Uncertainty in Deep Gaussian Processes Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:37:04.312441Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4986098e-db30-4dfe-a9c7-ff530fa6b359 · outbound
This paper cites Evaluating predictive uncertainty challenge.
Evaluating Uncertainty in Deep Gaussian Processes Evaluating predictive uncertainty challenge
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:37:04.854829Z
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 bb0a6139-b270-4f88-9d9f-1d9ec779b72b · outbound
This paper cites Physicochemical Properties of Protein Tertiary Structure.
Evaluating Uncertainty in Deep Gaussian Processes Physicochemical Properties of Protein Tertiary Structure
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:37:04.323973Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 328aaa76-0f29-47a0-82c6-4f9c554be2c4 · outbound
This paper cites Williams.
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:37:04.839208Z
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 87f9630a-b6b3-445b-bcf8-90c26d87fe80 · outbound
This paper cites Doubly stochastic variational inference for deep gaussian processes.
Evaluating Uncertainty in Deep Gaussian Processes Doubly stochastic variational inference for deep gaussian processes
Reference 24
- Resolution
- verified exact
- raw_fallback, observed 2026-08-16T10:37:04.517198Z
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 3bc4230e-2069-4567-afc4-0162df3923ce · outbound
This paper cites Dropout: a simple way to prevent neural networks from overfitting.The journal of machine learning research, 15(1):1929–1958, 2014.
Evaluating Uncertainty in Deep Gaussian Processes Dropout: a simple way to prevent neural networks from overfitting.The journal of machine learning research, 15(1):1929–1958, 2014
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:37:04.337121Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf8e4495-3df6-4f84-bac4-8b0fc87924a3 · outbound
This paper cites Variational learning of inducing variables in sparse gaussian processes.
Evaluating Uncertainty in Deep Gaussian Processes Variational learning of inducing variables in sparse gaussian processes
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:37:04.341538Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bb442f9-6da5-48bf-9e00-88918bff1001 · outbound
This paper cites Q-learning.Machine learning, 8:279–292, 1992.
Evaluating Uncertainty in Deep Gaussian Processes Q-learning.Machine learning, 8:279–292, 1992
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:37:04.350389Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87ce890a-098c-4bb9-a3fc-681762b5ca3b · outbound
This paper cites an unresolved cited work.
Evaluating Uncertainty in Deep Gaussian Processes Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T10:37:04.778264Z
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 e48ce26c-93d2-4986-9d8f-b764b4540a9e · outbound
This paper cites URL https://proceedings.mlr.press/v5/titsias09a.html.
Evaluating Uncertainty in Deep Gaussian Processes URL https://proceedings.mlr.press/v5/titsias09a.html
Reference 2009
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T10:37:04.804934Z
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.
Pith citing papers
No inbound Pith citation observations are available.