Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-15T14:03:39.869199Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2603.06023.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-15T14:03:39.869199Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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
24 of 24 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1f1916fd-7add-4951-87ab-c535e8977124 · outbound
Large deviation principles for convolutional Bayesian neural networks Aiudi, R
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a290b135-6252-4741-ac01-a37d25bb23d2 · outbound
Large deviation principles for convolutional Bayesian neural networks Andreis, F
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f44696c-3071-47d7-8373-8606b80838d6 · outbound
Large deviation principles for convolutional Bayesian neural networks Baglioni, R
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a96e1a70-a7fa-46f0-86d6-50d78a46b783 · outbound
Large deviation principles for convolutional Bayesian neural networks Proportional infinite-width infinite-depth limit for deep linear neural networks
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a06d1de2-8c5b-450e-b0e5-75bc0b41fea2 · outbound
Large deviation principles for convolutional Bayesian neural networks Bhatia.Matrix Analysis, volume 169 ofGraduate Texts in Mathematics
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 345f900a-8ccf-4e48-b3ae-410743b43f37 · outbound
Large deviation principles for convolutional Bayesian neural networks Entropic bounds for conditionally Gaussian vectors and applications to neural networks
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6215fb98-dbd5-43fc-bc2f-79cab1ec95f6 · outbound
Large deviation principles for convolutional Bayesian neural networks Unresolved cited work
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5323424e-c322-4bc2-a299-e2f450b9bd54 · outbound
Large deviation principles for convolutional Bayesian neural networks Unresolved cited work
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 523efd9b-a635-43bf-be75-2d873b39b0d3 · outbound
Large deviation principles for convolutional Bayesian neural networks Dembo and O
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83aa43c9-b7cd-48cc-aa88-32b23461a036 · outbound
Large deviation principles for convolutional Bayesian neural networks Favaro, B
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69a05001-2aa6-4516-bcd9-9f5126e96f37 · outbound
Large deviation principles for convolutional Bayesian neural networks Goodfellow, Y
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8f60d84-5320-4e2b-b41f-d9de3474a96f · outbound
Large deviation principles for convolutional Bayesian neural networks Unresolved cited work
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16d8303f-7281-4bd8-ba2a-4c963294319c · outbound
Large deviation principles for convolutional Bayesian neural networks Unresolved cited work
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47605f45-86cd-4ca4-b90f-2f3961cac235 · outbound
Large deviation principles for convolutional Bayesian neural networks Unresolved cited work
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9552ee84-a8d1-438c-987b-f93c7773188a · outbound
Large deviation principles for convolutional Bayesian neural networks Unresolved cited work
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60c66569-645c-44f6-82c7-b77a44e4a2ad · outbound
Large deviation principles for convolutional Bayesian neural networks Macci, B
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d7b7ae2-4f90-44f0-8eb1-6295c040449d · outbound
Large deviation principles for convolutional Bayesian neural networks Macci, B
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b4906d2-b26c-41a8-89d2-e4bdf8685ae7 · outbound
Large deviation principles for convolutional Bayesian neural networks Novak, L
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 936abb99-9b6e-42e5-8e5c-4cc3b017bc85 · outbound
Large deviation principles for convolutional Bayesian neural networks Pacelli, S
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9853f2f1-68a0-4b04-9e01-3aeefed7004e · outbound
Large deviation principles for convolutional Bayesian neural networks Rezakhanlou
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 567d6109-06c3-4b68-83cb-5b06c3510553 · outbound
Large deviation principles for convolutional Bayesian neural networks Wide Deep Neural Networks with Gaussian Weights are Very Close to Gaussian Processes
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0af55e98-ee76-4f98-ac68-13112f9624b6 · outbound
Large deviation principles for convolutional Bayesian neural networks Unresolved cited work
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab027166-e0b0-4f85-b937-7c758e9656dc · outbound
Large deviation principles for convolutional Bayesian neural networks Unresolved cited work
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a239c776-bb91-409a-bac7-8f409b3ea6c5 · outbound
Large deviation principles for convolutional Bayesian neural networks Yang and E
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.