Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2305.16703.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:41:35.762552Z
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
18
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 29a8a8fe-ac07-42ba-a0a7-1267586aade6 · inbound
Uncertainty Representation in a SOTIF-Related Use Case with Dempster-Shafer Theory for LiDAR Sensor-Based Object Detection cites this paper.
Uncertainty Representation in a SOTIF-Related Use Case with Dempster-Shafer Theory for LiDAR Sensor-Based Object Detection Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T01:17:20.109139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cb054595-77bf-44dc-9f93-e3df5fe1882d · inbound
Predictive Multiplicity in Survival Models: A Method for Quantifying Model Uncertainty in Predictive Maintenance Applications cites this paper.
Predictive Multiplicity in Survival Models: A Method for Quantifying Model Uncertainty in Predictive Maintenance Applications Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:41:35.762552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fe4a1b2-5326-4ba1-a6d3-dabed2b2a4f8 · inbound
Uncertainty Quantification for Machine Learning in Healthcare: A Survey cites this paper.
Uncertainty Quantification for Machine Learning in Healthcare: A Survey Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Reference 13
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-16T01:02:15.445124Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4499fa61-b643-4624-bd6c-e54676175983 · inbound
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks cites this paper.
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:00:36.331738Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b83c100e-70c1-47ac-b9fa-83c13a6cdc26 · inbound
EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion cites this paper.
EMoE: Training-Free Expert Disagreement for Uncertainty-Aware Text-to-Image Diffusion Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:20:53.442698Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86f3acbf-2bf7-4995-a71e-576f024cd856 · inbound
Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents cites this paper.
Position: Uncertainty Quantification Needs Reassessment for Large-language Model Agents Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:08:18.565726Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3b5d8ae-37a0-4b90-944a-ecc07e0d34f6 · inbound
Revisiting Active Learning under (Human) Label Variation cites this paper.
Revisiting Active Learning under (Human) Label Variation Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:29:50.617622Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46506a41-a753-4701-90ea-262c2a5e2a13 · inbound
From Ground Truth to Measurement: A Statistical Framework for Human Labeling cites this paper.
From Ground Truth to Measurement: A Statistical Framework for Human Labeling Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:30:58.164908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a0f36f95-34ec-4b2d-b1d7-bffe0b03632b · inbound
What Uncertainties Do We Need for Dynamical Systems? cites this paper.
What Uncertainties Do We Need for Dynamical Systems? Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T09:47:59.664682Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d171b2f5-9de9-4600-9b32-587667273274 · inbound
Epistemic Uncertainty Is Not the Reducible Kind cites this paper.
Epistemic Uncertainty Is Not the Reducible Kind Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T07:50:43.179925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 89080974-2f8a-4f57-8f22-1a25749d585d · inbound
Probabilistic Deep Learning for Drought Forecasting: Role of Internal Climate Variability cites this paper.
Probabilistic Deep Learning for Drought Forecasting: Role of Internal Climate Variability Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:27:39.267783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5021806c-d60f-410a-854f-66b7d698c3f9 · inbound
Deep Evidential Regression for Sparse Forest Height Estimation from Multimodal Satellite Imagery cites this paper.
Deep Evidential Regression for Sparse Forest Height Estimation from Multimodal Satellite Imagery Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:30:42.014995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce9f7b60-e92c-4a14-888e-802149830ed0 · inbound
ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning cites this paper.
ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning Sources of Uncertainty in Supervised Machine Learning -- A Statisticians' View
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:17:46.000317Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.