Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2012.04456.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:25:20.847841Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T14:24:44.870962Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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 90c6ffa1-3e2f-47a7-b23b-fba62e8fa396 · inbound
Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals cites this paper.
Scaling to Multimodal and Multichannel Heart Sound Classification with Synthetic and Augmented Biosignals Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:51:36.388842Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7f87f5b-3c08-4f35-9a7b-85d0ef7236f3 · inbound
Explainable Iterative Data Visualisation Refinement via an LLM Agent cites this paper.
Explainable Iterative Data Visualisation Refinement via an LLM Agent Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T17:56:24.957616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9a6287af-add2-41fc-bce8-fecc10b858a5 · inbound
MEDAL: Manifold Embedding Distillation via Autoencoder Learning cites this paper.
MEDAL: Manifold Embedding Distillation via Autoencoder Learning Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Reference 112
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T14:24:44.873000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1e1b1381-d279-4907-a013-a7c6fbda92f7 · inbound
CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data cites this paper.
CosMAP: Contrastive Manifold Approximation and Projection for Dimensionality Reduction of Omics and Genealogical Data Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:25:20.847841Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.