Paper Citation Record · LEDGER

Improving Fine-Tuning with Latent Cluster Correction

As of 23 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2501.11919.

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

pith.paper-citation-record.v1
2501.11919 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:47:15.312567Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

31 of 31 outbound references displayed

verified exact5
verified fuzzy3
unresolved16
parse uncertain0
malformed identifier3
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4cf9fad0-c5fa-4844-b0d6-390255f9def8 · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Improving Fine-Tuning with Latent Cluster Correction Deep Residual Learning for Image Recognition,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.185062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ec643d6-303f-4d0a-b347-7fe789d59545 · outbound

This paper cites Learning Multiple Layers of Features from Tiny Images,.

Improving Fine-Tuning with Latent Cluster Correction Learning Multiple Layers of Features from Tiny Images,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.189744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9ccf82c-f694-4dc3-8768-861400ddf310 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Improving Fine-Tuning with Latent Cluster Correction UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.193930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd7da58a-3eea-451a-bc1a-8e7108a4ac53 · outbound

This paper cites Quantifying the Separability of Data Classes in Neural Networks,.

Improving Fine-Tuning with Latent Cluster Correction Quantifying the Separability of Data Classes in Neural Networks,

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T17:47:16.322519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c1336a3a-dacf-445c-ba82-030ee55d1bbe · outbound

This paper cites Separability and Geometry of Object Manifolds in Deep Neural Networks,.

Improving Fine-Tuning with Latent Cluster Correction Separability and Geometry of Object Manifolds in Deep Neural Networks,

Reference 5

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T17:47:16.309838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 47aff4d2-d5d6-4628-83aa-bf450232748a · outbound

This paper cites Introducing Graph Smoothness Loss for Training Deep Learning Architectures,.

Improving Fine-Tuning with Latent Cluster Correction Introducing Graph Smoothness Loss for Training Deep Learning Architectures,

Reference 6

Resolution: malformed identifier; no resolver link, observed 2026-08-10T17:47:15.207322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aa04145-11f7-48d8-80cb-3fbbd1f24549 · outbound

This paper cites Representing Deep Neural Networks Latent Space Geometries with Graphs,.

Improving Fine-Tuning with Latent Cluster Correction Representing Deep Neural Networks Latent Space Geometries with Graphs,

Reference 7

Resolution: verified exact; doi, observed 2026-08-10T17:47:15.413975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b5213caf-d3ae-40ef-864e-71ebc141cbb5 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Improving Fine-Tuning with Latent Cluster Correction Distilling the Knowledge in a Neural Network

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.215854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708feebb-a9f5-4955-b9f5-81d2059f479e · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Improving Fine-Tuning with Latent Cluster Correction FitNets: Hints for Thin Deep Nets

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.220111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff5e72ad-43c6-4275-a83f-9e50ea59a466 · outbound

This paper cites Robust Feature Space Separation for Deep Convolutional Neural Network Training,.

Improving Fine-Tuning with Latent Cluster Correction Robust Feature Space Separation for Deep Convolutional Neural Network Training,

Reference 10

Resolution: verified exact; doi, observed 2026-08-10T17:47:15.400094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 09d3c041-afef-494d-bb58-f0731e03aa93 · outbound

This paper cites Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning.

Improving Fine-Tuning with Latent Cluster Correction Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:47:16.124611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 213a38b2-7abc-49cc-9648-475790b25e9d · outbound

This paper cites Learning Embedding Space for Clustering From Deep Representations,.

Improving Fine-Tuning with Latent Cluster Correction Learning Embedding Space for Clustering From Deep Representations,

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T17:47:16.106287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9467a643-a41b-4e1e-b22d-d91042839779 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Improving Fine-Tuning with Latent Cluster Correction Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.236606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38c62182-16a6-47ba-8986-de7f433ded74 · outbound

This paper cites ImageNet Classification with Deep Convolutional Neural Networks,.

Improving Fine-Tuning with Latent Cluster Correction ImageNet Classification with Deep Convolutional Neural Networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:47:16.297094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25ac846c-23e7-4a2f-b268-e7450fd7d7f9 · outbound

This paper cites Subspace Clustering for High Dimensional Data: A Review,.

Improving Fine-Tuning with Latent Cluster Correction Subspace Clustering for High Dimensional Data: A Review,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.244300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fe45ec9-5a41-4ff9-80ec-576bc15a6583 · outbound

This paper cites an unresolved cited work.

Improving Fine-Tuning with Latent Cluster Correction Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T17:47:16.284268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d5b863cb-646e-48a3-b142-fae3d37059c7 · outbound

This paper cites A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture,.

Improving Fine-Tuning with Latent Cluster Correction A Survey of Clustering With Deep Learning: From the Perspective of Network Architecture,

Reference 17

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T17:47:15.923988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf1d4d85-35f8-48af-9554-954578b4638d · outbound

This paper cites BIRCH: An Efficient Data Clustering Method for Very Large Databases,.

Improving Fine-Tuning with Latent Cluster Correction BIRCH: An Efficient Data Clustering Method for Very Large Databases,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.258924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb3dca1c-852f-41a1-aed5-c1a6d368577d · outbound

This paper cites Automatic Subspace Clustering of High Dimensional Data for Data Mining Appli- cations,.

Improving Fine-Tuning with Latent Cluster Correction Automatic Subspace Clustering of High Dimensional Data for Data Mining Appli- cations,

Reference 19

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T17:47:15.767150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dc6b6180-3879-4253-8c82-6878c578405d · outbound

This paper cites OP- TICS: Ordering Points to Identify the Clustering Structure,.

Improving Fine-Tuning with Latent Cluster Correction OP- TICS: Ordering Points to Identify the Clustering Structure,

Reference 20

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T17:47:15.673333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f7bb81f1-beaa-42e4-a978-02252720bd7b · outbound

This paper cites On Spectral Clustering: Analysis and an Algorithm,.

Improving Fine-Tuning with Latent Cluster Correction On Spectral Clustering: Analysis and an Algorithm,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:47:16.272142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9d1ec4fc-a9de-491e-9bfe-24acf5720a3d · outbound

This paper cites Clustering by Passing Messages Between Data Points,.

Improving Fine-Tuning with Latent Cluster Correction Clustering by Passing Messages Between Data Points,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.274747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbb6d0a9-b001-4a15-8024-f597c1d92a35 · outbound

This paper cites Density- Based Clustering Based on Hierarchical Density Estimates,.

Improving Fine-Tuning with Latent Cluster Correction Density- Based Clustering Based on Hierarchical Density Estimates,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.279018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99601755-0eca-45d5-992b-abd1ce14d28b · outbound

This paper cites Community Detection Algorithms: A Comparative Analysis,.

Improving Fine-Tuning with Latent Cluster Correction Community Detection Algorithms: A Comparative Analysis,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.282998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 870f49d5-0d0e-45ff-823c-d6aa6efdaa90 · outbound

This paper cites Fast Unfolding of Communities in Large Networks,.

Improving Fine-Tuning with Latent Cluster Correction Fast Unfolding of Communities in Large Networks,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.286997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a57906e9-0354-4808-9784-bb17962e44e8 · outbound

This paper cites From Louvain to Leiden: Guaranteeing Well-Connected Communities,.

Improving Fine-Tuning with Latent Cluster Correction From Louvain to Leiden: Guaranteeing Well-Connected Communities,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.291008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc5c0013-47fc-447d-a1a9-3affa04e8228 · outbound

This paper cites Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets.

Improving Fine-Tuning with Latent Cluster Correction Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-10T17:47:15.587048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b871aeac-8eb8-4c03-9d1a-bc8312adf629 · outbound

This paper cites Larochelle and Neural Information Processing Systems Foundation, Eds., 34th Conference on Neural Information Processing Systems (NeurIPS 2020): Online, 6-12 December 2020 , no.

Improving Fine-Tuning with Latent Cluster Correction Larochelle and Neural Information Processing Systems Foundation, Eds., 34th Conference on Neural Information Processing Systems (NeurIPS 2020): Online, 6-12 December 2020 , no

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:47:16.258464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8d78553d-7636-4ed1-a74d-9aba5aa65edd · outbound

This paper cites ImageNet: A Large-Scale Hierarchical Image Database,.

Improving Fine-Tuning with Latent Cluster Correction ImageNet: A Large-Scale Hierarchical Image Database,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.304495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df3f9a97-ac43-4b64-9f91-51c38980a5c8 · outbound

This paper cites Parallel Peer Pressure Clustering Algorithm Based on Linear Algebra Computation,.

Improving Fine-Tuning with Latent Cluster Correction Parallel Peer Pressure Clustering Algorithm Based on Linear Algebra Computation,

Reference 30

Resolution: verified exact; doi, observed 2026-08-10T17:47:15.347804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 499965f6-ed1e-4760-a327-f00096946b02 · outbound

This paper cites Implementing a Parallel Graph Clustering Algorithm with Sparse Matrix Computation,.

Improving Fine-Tuning with Latent Cluster Correction Implementing a Parallel Graph Clustering Algorithm with Sparse Matrix Computation,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:15.312567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.