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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:08:18.565726Z
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 2026-08-08T06:32:00.761636+00:00.
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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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.