Paper Citation Record · LEDGER

The Exploration of Neural Collapse under Imbalanced Data

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 2 inbound Pith citation observations for arXiv:2411.17278.

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

pith.paper-citation-record.v1
2411.17278 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:27:32.986635Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:32.821539Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:02:46.624847Z

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy24
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c89f3957-a8ec-49bc-9927-fbbd9777b8ec · outbound

This paper cites A singular value thresholding algorithm for matrix completion.

The Exploration of Neural Collapse under Imbalanced Data A singular value thresholding algorithm for matrix completion

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.418973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 080c59e9-a2ec-46d5-9ec2-dd001163b833 · outbound

This paper cites New types of deep neural network learning for speech recognition and related applications: An overview.

The Exploration of Neural Collapse under Imbalanced Data New types of deep neural network learning for speech recognition and related applications: An overview

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.406549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 476eefc5-15c9-41f1-ad4b-e5fa87d420c9 · outbound

This paper cites Neural collapse in deep linear networks: from balanced to imbalanced data.

The Exploration of Neural Collapse under Imbalanced Data Neural collapse in deep linear networks: from balanced to imbalanced data

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.394088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9848377f-7531-4d84-aed7-8a054a1515f0 · outbound

This paper cites On the emergence of simplex symmetry in the final and penultimate layers of neural network classifiers.

The Exploration of Neural Collapse under Imbalanced Data On the emergence of simplex symmetry in the final and penultimate layers of neural network classifiers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.381643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e513f958-06b0-4749-8103-3f79a5492e3e · outbound

This paper cites an unresolved cited work.

The Exploration of Neural Collapse under Imbalanced Data Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:27:33.369235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c510d4fa-27c9-4791-852d-faa3eb22fca0 · outbound

This paper cites A Review on Deep Learning Techniques Applied to Semantic Segmentation.

The Exploration of Neural Collapse under Imbalanced Data A Review on Deep Learning Techniques Applied to Semantic Segmentation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T12:27:32.868571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f51e55f5-ab16-45d6-9c25-c6455162d0b0 · outbound

This paper cites Dissecting supervised contrastive learning.

The Exploration of Neural Collapse under Imbalanced Data Dissecting supervised contrastive learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.357665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b5146ddc-5eee-4501-81e0-d8a9014e23db · outbound

This paper cites A survey of deep learning techniques for autonomous driving.

The Exploration of Neural Collapse under Imbalanced Data A survey of deep learning techniques for autonomous driving

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.345992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 02a614f0-aade-45c0-a2be-158e7d2d8e54 · outbound

This paper cites an unresolved cited work.

The Exploration of Neural Collapse under Imbalanced Data Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:27:33.333277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ae03d0ca-faf8-4fad-a0ae-37712e4682ee · outbound

This paper cites Evaluation of neural architectures trained with square loss vs cross-entropy in classification tasks.

The Exploration of Neural Collapse under Imbalanced Data Evaluation of neural architectures trained with square loss vs cross-entropy in classification tasks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.320592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f41c9e4-534b-4a9c-b8e2-e0edda88256d · outbound

This paper cites Neural collapse for unconstrained feature model under cross-entropy loss with imbalanced data.

The Exploration of Neural Collapse under Imbalanced Data Neural collapse for unconstrained feature model under cross-entropy loss with imbalanced data

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.307032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8358b47d-cb44-4efe-9bb1-cb6c493f482a · outbound

This paper cites Approximation capabilities of multilayer feedforward networks.

The Exploration of Neural Collapse under Imbalanced Data Approximation capabilities of multilayer feedforward networks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.294735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5c11d67-311d-44de-867f-0898c1039e1e · outbound

This paper cites Han, Vardan Papyan, and David L.

The Exploration of Neural Collapse under Imbalanced Data Han, Vardan Papyan, and David L

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.281488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 939d7481-3005-4244-87e4-6b3b7a8124ff · outbound

This paper cites When face recognition meets with deep learning: an evaluation of convolutional neural networks for face recognition.

The Exploration of Neural Collapse under Imbalanced Data When face recognition meets with deep learning: an evaluation of convolutional neural networks for face recognition

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.266210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 45d798f5-c211-407d-bd9e-723e898ef540 · outbound

This paper cites an unresolved cited work.

The Exploration of Neural Collapse under Imbalanced Data Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:27:33.252973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2db77767-e2a7-4531-a427-521b779dfa85 · outbound

This paper cites S \'a nchez.

The Exploration of Neural Collapse under Imbalanced Data S \'a nchez

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.240909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82b0b66c-9f32-4c8b-9cde-aae5f5dce505 · outbound

This paper cites The expressive power of neural networks: A view from the width.

The Exploration of Neural Collapse under Imbalanced Data The expressive power of neural networks: A view from the width

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.228032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a2a46ce-4049-4772-809f-3baaa0ee7786 · outbound

This paper cites Neural collapse under cross-entropy loss.

The Exploration of Neural Collapse under Imbalanced Data Neural collapse under cross-entropy loss

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.213744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a5e60086-e8bc-49fe-9be1-33352f63dc8e · outbound

This paper cites Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping.

The Exploration of Neural Collapse under Imbalanced Data Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T12:27:32.937404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd5f40e5-e45b-4cd8-9893-aa146d1599dc · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

The Exploration of Neural Collapse under Imbalanced Data Towards deep learning models resistant to adversarial attacks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T12:27:32.941813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 580d3ec5-fd32-4cba-b336-f9968fbf326d · outbound

This paper cites Neural collapse with unconstrained features.

The Exploration of Neural Collapse under Imbalanced Data Neural collapse with unconstrained features

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T12:27:32.945971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47f79703-22ee-4cf0-8f3b-1a4b308b317e · outbound

This paper cites Deep double descent: Where bigger models and more data hurt.

The Exploration of Neural Collapse under Imbalanced Data Deep double descent: Where bigger models and more data hurt

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.191193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 549a223d-0ba0-4897-9625-0ce0702ca4be · outbound

This paper cites Han, and David L.

The Exploration of Neural Collapse under Imbalanced Data Han, and David L

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.178078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ffbbe690-5258-41d2-aaaa-efbdc3ec7b44 · outbound

This paper cites Deep isometric learning for visual recognition.

The Exploration of Neural Collapse under Imbalanced Data Deep isometric learning for visual recognition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.164329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f60827e2-3aa0-4d74-b75d-0cfa7a41e644 · outbound

This paper cites Provable approximation properties for deep neural networks.

The Exploration of Neural Collapse under Imbalanced Data Provable approximation properties for deep neural networks

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.150742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 69bb6ee1-7dca-4988-b8b1-8bda0b54d3b7 · outbound

This paper cites Extended unconstrained features model for exploring deep neural collapse.

The Exploration of Neural Collapse under Imbalanced Data Extended unconstrained features model for exploring deep neural collapse

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.134618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 55459628-78ff-433f-9130-6f35157019a9 · outbound

This paper cites Imbalance trouble: Revisiting neural-collapse geometry.

The Exploration of Neural Collapse under Imbalanced Data Imbalance trouble: Revisiting neural-collapse geometry

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.120452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0556aea0-2f2e-4af4-8d11-3b35d0354bdb · outbound

This paper cites Rethinking bias-variance trade-off for generalization of neural networks.

The Exploration of Neural Collapse under Imbalanced Data Rethinking bias-variance trade-off for generalization of neural networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.106571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 96a5d37c-3831-413f-a0a5-c3a528338145 · outbound

This paper cites A geometric analysis of neural collapse with unconstrained features.

The Exploration of Neural Collapse under Imbalanced Data A geometric analysis of neural collapse with unconstrained features

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.092481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78ed679c-8d4d-406f-afbc-845cec74329e · outbound

This paper cites On the optimization landscape of neural collapse under mse loss: Global optimality with unconstrained features.

The Exploration of Neural Collapse under Imbalanced Data On the optimization landscape of neural collapse under mse loss: Global optimality with unconstrained features

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.078369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82865819-0dda-4dbd-be33-95cf0f06c4a5 · outbound

This paper cites Object detection with deep learning: A review.

The Exploration of Neural Collapse under Imbalanced Data Object detection with deep learning: A review

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:27:33.065148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 523d4705-37f1-4040-bbad-0a13b2eec36d · inbound

Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers cites this paper.

Neural Collapse is Globally Optimal in Deep Regularized ResNets and Transformers The Exploration of Neural Collapse under Imbalanced Data

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:32.821539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b496710d-5d85-40d5-925e-879667e3efbf · inbound

The role of class encoding in neural collapse cites this paper.

The role of class encoding in neural collapse The Exploration of Neural Collapse under Imbalanced Data

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:02:46.626718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.