Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:1811.12808.
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
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:10:11.860227Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
256
pith, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 87b8b77b-e153-41eb-b8c6-63b629603a96 · inbound
Realistic Evaluation of Deep Partial-Label Learning Algorithms Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00f77805-b06d-40bb-8c54-294d8e7806d9 · inbound
Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 4879
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ce8cb86-907e-4b52-ab6f-9505a771a248 · inbound
Wirelessly transmitted subthalamic nucleus signals predict endogenous pain levels in Parkinson's disease patients Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 74
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87dc8c1e-0a1b-48a1-8a70-454c76f5348c · inbound
Can human clinical rationales improve the performance and explainability of clinical text classification models? Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 34
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 715625f0-81a2-4f8d-bafa-be2482bfed89 · inbound
Descriptor: Parasitoid Wasps and Associated Hymenoptera Dataset (DAPWH) Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8907573e-dafb-4b7c-b0b6-308e8f2466f1 · inbound
Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1492e7e0-bf8b-443d-b95d-ba9e21d0fc45 · inbound
ALL-FEM: Agentic Large Language models Fine-tuned for Finite Element Methods Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 83
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f62d7c7f-7cbd-44b4-bb3d-fd960cc9fe79 · inbound
Is your AI Model Accurate Enough? The Difficult Choices Behind Rigorous AI Development and the EU AI Act Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 42
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ae22a539-e553-47e8-aabc-248ff780783f · inbound
Multi-Modal Machine Learning for Population- and Subject-Specific lncRNA-Type 2 Diabetes Association Analysis Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ece555f1-8975-4c94-a975-8fae233e287d · inbound
Multi-Modal Machine Learning for Population- and Subject-Specific lncRNA-Type 2 Diabetes Association Analysis Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 39
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3eff5da3-b9d8-4799-9277-99797bc5824c · inbound
A Gaia-linked High-purity QSO Candidate Catalog in Selected Fields with Extinction-binned Calibration and Spectrum-informed Training Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation caba1baf-208f-4286-b326-0a530786a93d · inbound
The Role of Domain-Specific Features in Malware Detection: A macOS Case Study Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 49
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e301c87a-e81e-4f1c-9f4e-99b506e18373 · inbound
Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9d7a4f21-a960-4737-b4e9-951fd5478331 · inbound
A Statistical Test for the Benefits of Personalizing Interventions Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 96
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f603b7e-f63d-4731-86e7-65646f313f67 · inbound
Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf3fab37-674a-4b9a-a111-42116a676956 · inbound
Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.