Paper Citation Record · LEDGER

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding

As of 19 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:1908.05968.

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

pith.paper-citation-record.v1
1908.05968 v6

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:03:02.073652Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

32 of 32 outbound references displayed

verified exact3
verified fuzzy19
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 46f1c31b-8cc9-457b-8d14-1afac0daaac4 · outbound

This paper cites Principal component analysis,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Principal component analysis,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T13:03:01.951077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fcfae53-8e98-4d84-97c4-f27eb3a734a2 · outbound

This paper cites Deep clustering for unsupervised learning of visual features,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Deep clustering for unsupervised learning of visual features,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.587499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e6b17198-d500-4dc0-9d48-a75cb8c2a860 · outbound

This paper cites Deep adaptive image clustering,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Deep adaptive image clustering,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.577047Z

Source-reported events for the cited work

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Observation fbce7509-04cf-4743-a0c5-1dc3762918bb · outbound

This paper cites A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding A density-based algorithm for discovering clusters a density-based algorithm for discovering clusters in large spatial databases with noise,

Reference 4

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Source-reported events for the cited work

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Observation 740d069e-2b8d-4b4d-a979-06c7a7eaae24 · outbound

This paper cites Deep clustering via joint convolutional autoencoder embedding and relative entropy minimization,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Deep clustering via joint convolutional autoencoder embedding and relative entropy minimization,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.564653Z

Source-reported events for the cited work

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Observation ef4e66dc-810a-4964-a045-4b5cecc67ef8 · outbound

This paper cites Adaptive self-paced deep clustering with data augmentation,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Adaptive self-paced deep clustering with data augmentation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.552688Z

Source-reported events for the cited work

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Observation 28df1854-4763-48a7-b5f6-ca12097befc4 · outbound

This paper cites Improved deep embedded clustering with local structure preservation,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Improved deep embedded clustering with local structure preservation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.542066Z

Source-reported events for the cited work

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Observation 78203f93-8c3a-43de-865b-8bfc8640bb57 · outbound

This paper cites Word re-embedding via manifold dimensionality retention,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Word re-embedding via manifold dimensionality retention,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.532236Z

Source-reported events for the cited work

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Observation 1636af1b-9da7-49e6-a49e-a7bffe7aad93 · outbound

This paper cites Word embeddings as metric recovery in semantic spaces,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Word embeddings as metric recovery in semantic spaces,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.522013Z

Source-reported events for the cited work

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Observation df131750-712f-4084-8cc8-37a3bb668206 · outbound

This paper cites Independent component analysis: algorithms and applications,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Independent component analysis: algorithms and applications,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T13:03:01.994213Z

Source-reported events for the cited work

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Observation 92542da7-e328-41bc-b4b7-a7a3dabb2bc4 · outbound

This paper cites Deep clustering: On the link between discriminative models and K-means.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Deep clustering: On the link between discriminative models and K-means

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:03:02.304432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 06b6963e-f277-4307-81ea-7cc7e2ed9c4c · outbound

This paper cites Data clustering: a review,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Data clustering: a review,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.493274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41eed269-6d4e-4224-90ec-26424971cf1d · outbound

This paper cites Variational deep embedding: An unsupervised and generative approach to clustering,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Variational deep embedding: An unsupervised and generative approach to clustering,

Reference 13

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Source-reported events for the cited work

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Observation ed523843-4364-4a4d-b891-bee4bb73477e · outbound

This paper cites Hierarchical clustering schemes,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Hierarchical clustering schemes,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T13:03:02.009787Z

Source-reported events for the cited work

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Observation 0f51715e-1404-473d-b297-dbad2b39e6cd · outbound

This paper cites Adam: A Method for Stochastic Optimization.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Adam: A Method for Stochastic Optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T13:03:02.013107Z

Source-reported events for the cited work

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Observation 2a0e5c7b-b5c6-4667-87e7-c508abde6eeb · outbound

This paper cites Discriminatively boosted image clustering with fully convolutional auto-encoders,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Discriminatively boosted image clustering with fully convolutional auto-encoders,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.476348Z

Source-reported events for the cited work

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Observation d362a1cc-00b3-4b32-8f9e-a1cb4349f5af · outbound

This paper cites Least squares quantization in pcm,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Least squares quantization in pcm,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.465603Z

Source-reported events for the cited work

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Observation e488276a-2f0c-4776-97e8-9f8f7568b989 · outbound

This paper cites Visualizing data using t-sne,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Visualizing data using t-sne,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T13:03:02.023794Z

Source-reported events for the cited work

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Observation 6b2398c8-7715-4d0e-940b-52c7dd2ced20 · outbound

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

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 19

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Source-reported events for the cited work

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Observation e6bf7088-d29e-418d-b00d-f73adad326de · outbound

This paper cites Clustergan : Latent space clustering in generative adversarial networks,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Clustergan : Latent space clustering in generative adversarial networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.449360Z

Source-reported events for the cited work

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Observation 1f439358-1c85-44c8-a519-d6ebb404ebb1 · outbound

This paper cites Rectiﬁed linear units improve restricted boltzmann machines,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Rectiﬁed linear units improve restricted boltzmann machines,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T13:03:02.033330Z

Source-reported events for the cited work

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Observation 3d16ecbf-c454-4356-ab76-49963d697c76 · outbound

This paper cites On spectral clustering: Anal- ysis and an algorithm,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding On spectral clustering: Anal- ysis and an algorithm,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T13:03:02.036844Z

Source-reported events for the cited work

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Observation 75ac640a-218e-45c2-a946-48ba6e319ee4 · outbound

This paper cites Gaussian mixture models,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Gaussian mixture models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.432591Z

Source-reported events for the cited work

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Observation 0962245a-6ac2-4c84-beb1-64282cb7a117 · outbound

This paper cites Nonlinear dimensionality reduction by locally linear embedding,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Nonlinear dimensionality reduction by locally linear embedding,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T13:03:02.042889Z

Source-reported events for the cited work

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Observation 443a7f30-ee5a-45bc-83d4-7c20fa5a2aa9 · outbound

This paper cites A global geometric framework for nonlinear dimensionality reduction,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding A global geometric framework for nonlinear dimensionality reduction,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.417712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d8d29441-ecf8-4819-9b40-b1468efdf415 · outbound

This paper cites Recent advances in autoencoder-based representation learning,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Recent advances in autoencoder-based representation learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.408228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cef78a41-f248-4591-b9ad-e932d4fb17a9 · outbound

This paper cites Locally embedding autoencoders: A semi-supervised manifold learning approach of document representation,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Locally embedding autoencoders: A semi-supervised manifold learning approach of document representation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.397338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0b8acac7-2c70-4862-b1dd-594fc1c7172e · outbound

This paper cites Unsupervised deep embedding for clustering analysis,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Unsupervised deep embedding for clustering analysis,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.386305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4bbd5e32-9655-4716-9def-8b94d27fa8b2 · outbound

This paper cites Available: https://doi.org/10.1371/journal.pone.0146672.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Available: https://doi.org/10.1371/journal.pone.0146672

Reference 29

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Source-reported events for the cited work

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Observation 725ca8fa-0bb5-43cc-8cc2-e0cf7f444b8c · outbound

This paper cites Joint unsupervised learning of deep representations and image clusters,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Joint unsupervised learning of deep representations and image clusters,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.362468Z

Source-reported events for the cited work

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Observation a003cf18-e29a-4102-b362-e4b5df18eb7d · outbound

This paper cites Towards k- means-friendly spaces: Simultaneous deep learning and clustering,.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Towards k- means-friendly spaces: Simultaneous deep learning and clustering,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.375026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fdc3526d-cc8c-4ef3-8482-0140bda66b92 · outbound

This paper cites Available: https://transacl.org/ojs/index.php/tacl/article/ view/809.

N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding Available: https://transacl.org/ojs/index.php/tacl/article/ view/809

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:03:02.510813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.