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Paper Citation Record · LEDGER

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling

As of 9 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.07863.

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

pith.paper-citation-record.v1
2607.07863 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T16:29:23.355323Z

measured 28 of 28 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation fae30d69-a64e-4a8f-b6e5-c3af68c4dfb0 · outbound

This paper cites Akiba, S.

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Akiba, S

Reference 1

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Observation 23275284-13a6-46e9-9ffa-3f421e4f08ac · outbound

This paper cites N., Etxeberria, I., Suárez, A.: Effect of process parameter on the kerf geometry in abrasive water jet milling.

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling N., Etxeberria, I., Suárez, A.: Effect of process parameter on the kerf geometry in abrasive water jet milling

Reference 2

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Observation 95257b64-3723-4d98-8823-988e5aa05824 · outbound

This paper cites Angelopoulos and Stephen Bates.

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Angelopoulos and Stephen Bates

Reference 3

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Observation 276fba1f-bc9f-4692-8b08-ebc05c58df86 · outbound

This paper cites C.: On over-fitting in model selection and subsequent selection bias in performance evaluation.

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling C.: On over-fitting in model selection and subsequent selection bias in performance evaluation

Reference 4

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Observation 20f97cdf-3078-4f3b-98ba-1e4876127d73 · outbound

This paper cites Journal of Manufacturing Processes110, 291–302 (2024).

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Journal of Manufacturing Processes110, 291–302 (2024)

Reference 5

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Observation 7cfde4cf-50be-4533-ac6e-997583f439ef · outbound

This paper cites Data-Centric Engineering5, e8 (2024).

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Data-Centric Engineering5, e8 (2024)

Reference 6

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Observation 9bd498bc-2e42-45df-8e03-0cd00589aace · outbound

This paper cites The International Journal of Advanced Manufacturing Technology126, 3133–3148 (2023).

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling The International Journal of Advanced Manufacturing Technology126, 3133–3148 (2023)

Reference 7

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Observation 876af788-9ac4-4c44-9e93-0bb58924b8f7 · outbound

This paper cites doi: https://doi.org/10.1016/j.strusafe.2008.06.020.

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling doi: https://doi.org/10.1016/j.strusafe.2008.06.020

Reference 8

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Observation c668a9ca-be39-4858-af4e-c6f63fdd66c2 · outbound

This paper cites Journal of Manufacturing Systems73, 898–912 (2024).

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Journal of Manufacturing Systems73, 898–912 (2024)

Reference 9

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This paper cites In: Proceedings of the 33rd International Conference on Machine Learning (ICML).

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling In: Proceedings of the 33rd International Conference on Machine Learning (ICML)

Reference 10

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Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Unresolved cited work

Reference 11

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Observation c4296574-fb97-41b5-b193-3a8a89343fcc · outbound

This paper cites Robust tests for the equality of variances.

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Robust tests for the equality of variances

Reference 12

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Observation da61809a-abd0-4b8f-a659-08bc173dd696 · outbound

This paper cites Journal of Engineering Materials and Technology106(1), 88–100 (1984).

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Journal of Engineering Materials and Technology106(1), 88–100 (1984)

Reference 13

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Observation eda8ad4b-a4d6-4a1e-a44c-6e717e4c6a6b · outbound

This paper cites Journal of Engineering Materials and Technology 111(2), 154–162 (1989).

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Journal of Engineering Materials and Technology 111(2), 154–162 (1989)

Reference 14

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Observation b2ed446e-7eba-48eb-9fcf-c551453c5594 · outbound

This paper cites Materials14(14), 4032 (2021).

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Materials14(14), 4032 (2021)

Reference 15

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Observation 27726e90-6481-49fc-947c-5f96174db7d9 · outbound

This paper cites The ASQC Basic References in Quality Control: Statistical Techniques (1993).

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling The ASQC Basic References in Quality Control: Statistical Techniques (1993)

Reference 16

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Observation 81562127-4e50-4ee0-9221-6db845193170 · outbound

This paper cites Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median , journal =.

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median , journal =

Reference 17

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Observation 1decb978-1945-4b55-830d-8bdd3ddb8d68 · outbound

This paper cites International Journal of Rock Mechanics and Mining Sciences34(1), 17–25 (1997).

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling International Journal of Rock Mechanics and Mining Sciences34(1), 17–25 (1997)

Reference 18

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Observation 711ea7d3-15f6-4112-9ef8-70d9a03adfc8 · outbound

This paper cites The International Journal of Advanced Manufacturing Technology119, 503–516 (2021).

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling The International Journal of Advanced Manufacturing Technology119, 503–516 (2021)

Reference 19

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Observation 40cb398d-64ce-47c8-9576-4f0df9aa2c75 · outbound

This paper cites Expert Systems with Applications246, 123168 (2024).

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Expert Systems with Applications246, 123168 (2024)

Reference 20

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

This paper cites Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning.

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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Observation cb7f2af2-6670-4af3-9f11-74af9fe7b43f · outbound

This paper cites I.: Gaussian Processes for Machine Learning.

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling I.: Gaussian Processes for Machine Learning

Reference 22

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Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Information Fusion , author =

Reference 23

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Observation 97e00141-6619-4537-8ef3-6b0c09f0717b · outbound

This paper cites PLOS ONE14(11), e0224365 (2019).

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling PLOS ONE14(11), e0224365 (2019)

Reference 24

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Observation a65ee073-dac5-46a9-ae71-bff46ebd805a · outbound

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Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling NeuroImage , author =

Reference 25

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Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling 2022, ACM Comput

Reference 26

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Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling Small data machine learning in materials science

Reference 27

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This paper cites doi: https://doi.org/10.1016/j.eng.2024.04.024.

Physics-Informed Machine Learning Under Small-Data Constraints: Lessons from Abrasive Waterjet Milling doi: https://doi.org/10.1016/j.eng.2024.04.024

Reference 28

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Pith citing papers

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