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Paper Citation Record · LEDGER

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

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.

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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:10:11.860227Z

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:10:11.860227Z digest=sha256:23663db686ec12ab187b79d4c5c61bd25f867f9bccfffc3b08f4d688b23ffdd4

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:04.948409Z digest=sha256:41f0b7d45535e63e6f7c152589cc58185442f4191e2af85ad2dfd720d007f7c0

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:31:41.533200Z digest=sha256:b531cfa3df6d84c5c2e578ddd307e9fb1a9bbbdca0f58d68faec36f4d2c546de

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:00:04.290551Z digest=sha256:5abeef2fbea58fd31c957ac9c64f8a64958aa1e3c83922a96c589e4d7065535f

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T20:46:43.938789Z digest=sha256:a97e9a654ab5cb17103d9aea0388c5766633dff8dfe9809f1772e89ce7bb6df1

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.

source=arxiv_source observed=2026-08-02T18:05:52.520390Z digest=sha256:a3b66c48cce2a10815fddcb29eb9f287037192d141bd3894069e3521450735c2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T15:49:36.623425Z digest=sha256:373eeb8fc37c6839521083e74de8f17025f84c2bd378e4e4f5d23b4beb09a676

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T13:10:41.002309Z digest=sha256:dc5fa248fc38ad7a2a0cb4488c7c5e3bc95f3e354354224a60b5a217e9967c70

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T02:30:32.993937Z digest=sha256:4cfe95e5394795016e7265b00cc89489b54e1bd574e942242e8b668648de0641

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T17:42:34.723465Z digest=sha256:758f3fa0538855c6b6ab9e8d5ecbb6b0265046e941fbc42791b024d59924e66f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T03:38:34.829999Z digest=sha256:1f5750451b5b78f5123eee9f7aca49c53dbc34aa28df42d3c431f01dcc67bf3e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T09:48:36.009792Z digest=sha256:3dab71005a001cccf959db03596847cd6bdf4d24b7fa9578928c4feb1485dc56

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T16:29:23.355323Z digest=sha256:8e35781c398c82d128b587de2868a4bf2be8906d05beba20a91bd745b50381d2

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T05:33:39.540475Z digest=sha256:1e8eadd54566a2db2bcb0ae1a320e3ec23126625a746c9f7cdfccb167139957c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:20:55.726259Z digest=sha256:098bebe272e13381571c97ae005059dc4ff22b2b2bedc4caa2d56d48d476ab78

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.

source=pdf_text observed=2026-08-01T19:20:55.531060Z digest=sha256:6f3cef4e0e2d326b935c1eb51a1c668f8c033856c364dbbaad22a62ab6641f75