Paper Citation Record · LEDGER

Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:1811.12808.

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

pith.paper-citation-record.v1
1811.12808 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:21:43.576217Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

256
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 87b8b77b-e153-41eb-b8c6-63b629603a96 · inbound

Realistic Evaluation of Deep Partial-Label Learning Algorithms cites this paper.

Realistic Evaluation of Deep Partial-Label Learning Algorithms Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T19:10:11.860227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16bec68e-ece0-41b8-b765-3247427e3ab3 · inbound

Set Visualizations for Comparing and Evaluating Machine Learning Models cites this paper.

Set Visualizations for Comparing and Evaluating Machine Learning Models Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T23:21:43.576217Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:04.948409Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T22:31:41.533200Z

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? cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T13:00:04.290551Z

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) cites this paper.

Descriptor: Parasitoid Wasps and Associated Hymenoptera Dataset (DAPWH) Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:50:17.401170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8907573e-dafb-4b7c-b0b6-308e8f2466f1 · inbound

Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T18:05:52.520390Z

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 cites this paper.

ALL-FEM: Agentic Large Language models Fine-tuned for Finite Element Methods Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:51:05.242721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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 cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:10:49.208259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ae22a539-e553-47e8-aabc-248ff780783f · inbound

Multi-Modal Machine Learning for Population- and Subject-Specific lncRNA-Type 2 Diabetes Association Analysis cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-05-21T02:33:55.559352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ece555f1-8975-4c94-a975-8fae233e287d · inbound

Multi-Modal Machine Learning for Population- and Subject-Specific lncRNA-Type 2 Diabetes Association Analysis cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:44:57.631168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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 cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:40:18.260998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation caba1baf-208f-4286-b326-0a530786a93d · inbound

The Role of Domain-Specific Features in Malware Detection: A macOS Case Study cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:36:30.254548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e301c87a-e81e-4f1c-9f4e-99b506e18373 · inbound

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling cites this paper.

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

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T16:37:23.059324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9d7a4f21-a960-4737-b4e9-951fd5478331 · inbound

A Statistical Test for the Benefits of Personalizing Interventions cites this paper.

A Statistical Test for the Benefits of Personalizing Interventions Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning

Reference 96

Resolution: unresolved; no resolver link, observed 2026-07-13T05:33:39.540475Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-01T19:20:55.726259Z

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 cites this paper.

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

Resolution: unresolved; no resolver link, observed 2026-08-01T19:20:55.531060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.