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Paper Citation Record · LEDGER

A Simple Baseline for Bayesian Uncertainty in Deep Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1902.02476.

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

pith.paper-citation-record.v1
1902.02476 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:37:45.642933Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

182
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a0cf9453-aec3-4617-bfff-a53525518979 · inbound

Confidence Calibration for Convolutional Neural Networks Using Structured Dropout cites this paper.

Confidence Calibration for Convolutional Neural Networks Using Structured Dropout A Simple Baseline for Bayesian Uncertainty in Deep Learning

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-25T18:01:06.714170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-25T17:57:53.646501Z digest=sha256:00d5cfb86bcbd07677b26a210f4c80eab3a9a3c4527ce6e0e98f98360188b115

Observation 21ea3431-724a-4916-99da-5d6e19203e23 · inbound

Solar image denoising with convolutional neural networks cites this paper.

Solar image denoising with convolutional neural networks A Simple Baseline for Bayesian Uncertainty in Deep Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-14T14:37:45.642933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:37:45.642933Z digest=sha256:42da55f7dc1ef0e35f36263d89590db7a05b04e4720c025c3674cd7e23924d89

Observation fdd04cd4-5c93-4b71-af49-4ac25c4baefb · inbound

Bayesian Inference for Large Scale Image Classification cites this paper.

Bayesian Inference for Large Scale Image Classification A Simple Baseline for Bayesian Uncertainty in Deep Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T14:17:03.588470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:17:03.588470Z digest=sha256:db20517f7b8abe5e098be5df97c630186a19da1a91cfc07f3f2d8472022f3fee

Observation 9f43cd9c-e95a-41a9-92cb-ad2049b3738b · inbound

Evaluation of Seismic Artificial Intelligence with Uncertainty cites this paper.

Evaluation of Seismic Artificial Intelligence with Uncertainty A Simple Baseline for Bayesian Uncertainty in Deep Learning

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T20:17:39.734955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:17:39.734955Z digest=sha256:2387b3ebd71d0273892eb64111e62a08c0f293c8281134de3a626d5810d926c1

Observation d68969a5-69c1-46a4-afbe-ef0ada3578b7 · inbound

Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing cites this paper.

Bayesian E(3)-Equivariant Interatomic Potential with Iterative Restratification of Many-body Message Passing A Simple Baseline for Bayesian Uncertainty in Deep Learning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:02:31.617126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T10:01:16.498310Z digest=sha256:d87471bb8fb18fadf0d4f0a9be155acfaf8795500e792355b31dcb57efd979f3

Observation 728066e2-e434-48fc-bc71-a2a1ab1987e2 · inbound

MedBayes-Lite: A Clinical Uncertainty Governance Layer for Risk-Aware Medical Decision Support cites this paper.

MedBayes-Lite: A Clinical Uncertainty Governance Layer for Risk-Aware Medical Decision Support A Simple Baseline for Bayesian Uncertainty in Deep Learning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T21:09:20.622106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:09:20.622106Z digest=sha256:119bd5e170b4d0f237e82b55abf8ef7eebb56ed847bb1a2cbd760471895c0807

Observation fb5569a6-04ce-47eb-a63b-7782559717fa · inbound

Assessing the Performance-Efficiency Trade-off of Foundation Models in Probabilistic Electricity Price Forecasting cites this paper.

Assessing the Performance-Efficiency Trade-off of Foundation Models in Probabilistic Electricity Price Forecasting A Simple Baseline for Bayesian Uncertainty in Deep Learning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:20:22.355322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T12:17:53.846556Z digest=sha256:eb6c6f54d5d9065eb651ff7ae9c1f96e8a9d34ddb0d5e9984d9a0b4da40f5396