Paper Citation Record · LEDGER

A Tutorial on Spectral Clustering

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:0711.0189.

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

pith.paper-citation-record.v1
0711.0189 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:53.223529Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T16:55:51.212607Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ae8d8627-e986-4d8a-8581-59e6505f097f · inbound

Identifying Key Nodes for the Influence Spread using a Machine Learning Approach cites this paper.

Identifying Key Nodes for the Influence Spread using a Machine Learning Approach A Tutorial on Spectral Clustering

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T00:06:45.037051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a4893c2-5d04-4a94-b607-4236883c0a47 · inbound

Generalizable Spectral Embedding with an Application to UMAP cites this paper.

Generalizable Spectral Embedding with an Application to UMAP A Tutorial on Spectral Clustering

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:55.446711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b2f9328-5b2a-40fa-b301-7bcaff23a297 · inbound

Deep Clustering via Probabilistic Ratio-Cut Optimization cites this paper.

Deep Clustering via Probabilistic Ratio-Cut Optimization A Tutorial on Spectral Clustering

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T05:02:45.104481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 953c4fd3-eda1-4796-b435-8f6e566c3182 · inbound

Can Transformers help us perform parameter estimation of overlapping signals in gravitational wave detectors? cites this paper.

Can Transformers help us perform parameter estimation of overlapping signals in gravitational wave detectors? A Tutorial on Spectral Clustering

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T00:45:53.223529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae0b1950-e9fc-481f-b128-63189e614000 · inbound

Fill the Gap: Quantifying and Reducing the Modality Gap in Image-Text Representation Learning cites this paper.

Fill the Gap: Quantifying and Reducing the Modality Gap in Image-Text Representation Learning A Tutorial on Spectral Clustering

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T23:49:24.734226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e692d24b-f23e-4a7a-891a-e47be137f589 · inbound

Improved large-scale graph learning through ridge spectral sparsification cites this paper.

Improved large-scale graph learning through ridge spectral sparsification A Tutorial on Spectral Clustering

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:29:47.420213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d627c04e-e356-4b07-8df9-82fac27b7c97 · inbound

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion cites this paper.

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion A Tutorial on Spectral Clustering

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:05:57.323292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c8b4d1fa-9aa5-4286-b8f0-52055f04f7ef · inbound

Rank Is Not Capacity: Spectral Occupancy for Latent Graph Models cites this paper.

Rank Is Not Capacity: Spectral Occupancy for Latent Graph Models A Tutorial on Spectral Clustering

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:27:24.665773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7457468d-ef51-42a9-a377-5aa22bef1ecb · inbound

Graph Dimensionality Reduction for Contextual Bandits: Structure-Specific Regret Bounds under Approximate Smoothness and Noisy Eigenspaces cites this paper.

Graph Dimensionality Reduction for Contextual Bandits: Structure-Specific Regret Bounds under Approximate Smoothness and Noisy Eigenspaces A Tutorial on Spectral Clustering

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-07-01T16:55:51.213707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.