Paper Citation Record · LEDGER

Explaining Model Overfitting in CNNs via GMM Clustering

As of 12 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2412.10457.

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

pith.paper-citation-record.v1
2412.10457 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:25:10.431036Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

26 of 26 outbound references displayed

verified exact4
verified fuzzy1
unresolved18
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 179ad905-c44b-4741-a35c-34e4750a260a · outbound

This paper cites Rudin, Stop explaining black box machine learning models for highstakesdecisionsanduseinterpretablemodelsinstead, NatMach Intell 1 (2019) 206–215.

Explaining Model Overfitting in CNNs via GMM Clustering Rudin, Stop explaining black box machine learning models for highstakesdecisionsanduseinterpretablemodelsinstead, NatMach Intell 1 (2019) 206–215

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.320088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec1e0824-146f-443b-ba27-226c42623657 · outbound

This paper cites Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges.

Explaining Model Overfitting in CNNs via GMM Clustering Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.325887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef221451-fc99-407d-b291-6aa60d60aaf2 · outbound

This paper cites an unresolved cited work.

Explaining Model Overfitting in CNNs via GMM Clustering Unresolved cited work

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-11T17:25:10.330616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b060a6de-bbbe-4cfb-903d-0ff82cd71a70 · outbound

This paper cites an unresolved cited work.

Explaining Model Overfitting in CNNs via GMM Clustering Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T17:25:10.999252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a22f6741-3272-4c14-a75a-577c3dd3fbd6 · outbound

This paper cites A Survey on Neural Network Interpretability.

Explaining Model Overfitting in CNNs via GMM Clustering A Survey on Neural Network Interpretability

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:25:10.887279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 68dfee70-f294-4081-ae18-47ef43e2ecfc · outbound

This paper cites Explaining Explanations: An Overview of Interpretability of Machine Learning.

Explaining Model Overfitting in CNNs via GMM Clustering Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.344893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9ba360b-8f33-44ad-820f-6dedf6bc2590 · outbound

This paper cites URL: https://linkinghub.elsevier.com/retrieve/pii/ S1051200417302385.

Explaining Model Overfitting in CNNs via GMM Clustering URL: https://linkinghub.elsevier.com/retrieve/pii/ S1051200417302385

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.349834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c5d7c98-a018-4492-aae1-f0cd0c8e09cf · outbound

This paper cites Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks.

Explaining Model Overfitting in CNNs via GMM Clustering Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.353654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34d757ed-47cf-4310-b659-71f55c2deb91 · outbound

This paper cites Feature Representation in Convolutional Neural Networks.

Explaining Model Overfitting in CNNs via GMM Clustering Feature Representation in Convolutional Neural Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.357814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82d2ca97-80ab-43d4-a5b0-8d39efa4564d · outbound

This paper cites Dosovitskiy, T.

Explaining Model Overfitting in CNNs via GMM Clustering Dosovitskiy, T

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.361767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10a2a494-631c-49b3-9550-70c7c39ffd35 · outbound

This paper cites Zhang, J.

Explaining Model Overfitting in CNNs via GMM Clustering Zhang, J

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.365494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79c764d1-fc62-46be-be21-3e7c09357a85 · outbound

This paper cites Zhang, X.

Explaining Model Overfitting in CNNs via GMM Clustering Zhang, X

Reference 12

Resolution: verified exact; raw_fallback, observed 2026-08-11T17:25:10.828166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7569ba0a-67d0-47b9-bd4f-92c48843c890 · outbound

This paper cites Girish, V.

Explaining Model Overfitting in CNNs via GMM Clustering Girish, V

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:25:10.981019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3b2e2c7d-cef1-4a84-a7d3-f53f13574671 · outbound

This paper cites an unresolved cited work.

Explaining Model Overfitting in CNNs via GMM Clustering Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.380038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6f08d53-ed1b-4576-949b-df3006581e22 · outbound

This paper cites Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.

Explaining Model Overfitting in CNNs via GMM Clustering Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.383704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e08d45c-7979-44b0-a5ee-46be1d3b61e2 · outbound

This paper cites an unresolved cited work.

Explaining Model Overfitting in CNNs via GMM Clustering Unresolved cited work

Reference 16

Resolution: malformed identifier; no resolver link, observed 2026-08-11T17:25:10.388546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 342d8e5f-6784-4421-a836-0bec1b0902f8 · outbound

This paper cites an unresolved cited work.

Explaining Model Overfitting in CNNs via GMM Clustering Unresolved cited work

Reference 17

Resolution: verified exact; doi, observed 2026-08-11T17:25:10.497662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eee4b51f-7428-4a3d-a963-f51509c26d59 · outbound

This paper cites "Why Should I Trust You?": Explaining the Predictions of Any Classifier.

Explaining Model Overfitting in CNNs via GMM Clustering "Why Should I Trust You?": Explaining the Predictions of Any Classifier

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.397840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c1ba008-8684-4222-958c-87a75e7e3d59 · outbound

This paper cites an unresolved cited work.

Explaining Model Overfitting in CNNs via GMM Clustering Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.402002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85a928c4-2766-40ce-8799-49b10bbd6a2f · outbound

This paper cites Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV).

Explaining Model Overfitting in CNNs via GMM Clustering Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.405947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48d52f0d-d134-4d3a-be8a-e620b6921981 · outbound

This paper cites Interpretable Convolutional Neural Networks.

Explaining Model Overfitting in CNNs via GMM Clustering Interpretable Convolutional Neural Networks

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:25:10.603157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c087d22b-f51f-4f83-8c77-09dc45cc2eec · outbound

This paper cites Calinski, J.

Explaining Model Overfitting in CNNs via GMM Clustering Calinski, J

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.414920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9633f0d3-a087-4917-a528-c90e1c3829c7 · outbound

This paper cites an unresolved cited work.

Explaining Model Overfitting in CNNs via GMM Clustering Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-11T17:25:10.931590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a2033a9a-1b1f-474b-91ff-cb4d171d664e · outbound

This paper cites Krizhevsky, I.

Explaining Model Overfitting in CNNs via GMM Clustering Krizhevsky, I

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.423140Z

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Unavailable: canonical work link unavailable.

Observation a51dff14-4ed7-48b1-ac8d-727dd5a76417 · outbound

This paper cites Lecun, L.

Explaining Model Overfitting in CNNs via GMM Clustering Lecun, L

Reference 25

Resolution: malformed identifier; no resolver link, observed 2026-08-11T17:25:10.426810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb098f05-1272-489d-b25c-3dbd45726818 · outbound

This paper cites On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.

Explaining Model Overfitting in CNNs via GMM Clustering On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T17:25:10.431036Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.