Paper Citation Record · LEDGER

TriMap: Large-scale Dimensionality Reduction Using Triplets

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:1910.00204.

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

pith.paper-citation-record.v1
1910.00204 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:25:20.834345Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T02:06:42.023191Z

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 7bd98107-9cb7-4bc1-ba52-8cee40216ef5 · inbound

Cluster Exploration using Informative Manifold Projections cites this paper.

Cluster Exploration using Informative Manifold Projections TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-24T07:29:07.249467Z

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 7411a513-184d-46e3-ac16-e263fceeec6d · inbound

Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation cites this paper.

Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:18:20.605120Z

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 41ec642b-6a50-4a9e-8e57-3c05bafa5616 · inbound

Navigating the Effect of Parametrization for Dimensionality Reduction cites this paper.

Navigating the Effect of Parametrization for Dimensionality Reduction TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T13:53:16.217551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50cc62bc-05aa-4bfa-b5c9-94d75274ad21 · inbound

StarMAP: Global Neighbor Embedding for Faithful Data Visualization cites this paper.

StarMAP: Global Neighbor Embedding for Faithful Data Visualization TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T00:51:55.058906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 231bb8d4-8cad-4b92-954f-b9413e936e21 · inbound

The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction cites this paper.

The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T00:32:18.473754Z

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 99b424a0-e88a-484d-a8c2-d16c2780064a · inbound

Stop Misusing t-SNE and UMAP for Visual Analytics cites this paper.

Stop Misusing t-SNE and UMAP for Visual Analytics TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:07:49.351150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce200a5e-8193-4248-b920-c9cb039ce637 · inbound

Uncovering Latent Connections in Indigenous Heritage: Semantic Pipelines for Cultural Preservation in Brazil cites this paper.

Uncovering Latent Connections in Indigenous Heritage: Semantic Pipelines for Cultural Preservation in Brazil TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T10:23:12.560509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d64e79cc-143b-44fe-bd42-fa0707ca45d1 · inbound

FlexMUSE: Multimodal Unification and Semantics Enhancement Framework with Flexible interaction for Creative Writing cites this paper.

FlexMUSE: Multimodal Unification and Semantics Enhancement Framework with Flexible interaction for Creative Writing TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T17:28:48.673008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81594af3-6bf1-4301-959e-584a56833940 · inbound

mlx-vis: GPU-Native Dimensionality Reduction on Apple Silicon cites this paper.

mlx-vis: GPU-Native Dimensionality Reduction on Apple Silicon TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T19:00:01.861859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0301369a-58a8-4bd4-8b3b-633776d6cc83 · inbound

Neighbor Embedding for High-Dimensional Sparse Poisson Data cites this paper.

Neighbor Embedding for High-Dimensional Sparse Poisson Data TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:51:45.982490Z

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 b8260718-7713-4fc0-817e-b0aa7322ded6 · inbound

FastUMAP: Scalable Dimensionality Reduction via Bipartite Landmark Sampling cites this paper.

FastUMAP: Scalable Dimensionality Reduction via Bipartite Landmark Sampling TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T02:27:07.178282Z

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 3515eee7-3fdd-4ac5-9e13-565ce10431aa · inbound

FastUMAP: Scalable Dimensionality Reduction via Bipartite Landmark Sampling cites this paper.

FastUMAP: Scalable Dimensionality Reduction via Bipartite Landmark Sampling TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:27:29.186260Z

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 17d5459e-a1bb-4bd4-b719-b90c0b92e60b · inbound

The General Theory of Localization Methods cites this paper.

The General Theory of Localization Methods TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T06:34:00.619342Z

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 3795a828-8c5c-489b-b71a-01f5501bd28e · inbound

The General Theory of Localization Methods cites this paper.

The General Theory of Localization Methods TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 149

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:04:58.250172Z

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 6c40f982-5459-48c0-972f-b6c0aeb0d239 · inbound

On Out-of-sample Embedding in UMAP cites this paper.

On Out-of-sample Embedding in UMAP TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:06:43.878407Z

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 325c3d35-571f-4044-a650-900452daf753 · inbound

Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph cites this paper.

Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-10T02:06:42.024817Z

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 320bd10e-6a76-4743-b10c-b1cf0f5c7961 · inbound

Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph cites this paper.

Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T07:48:59.934409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b430503-6963-4701-94ff-cd1e231d7188 · inbound

Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph cites this paper.

Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T01:46:47.341935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afcbe8ff-bdf5-4ca4-933f-769b5183df38 · 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 TriMap: Large-scale Dimensionality Reduction Using Triplets

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T14:25:20.834345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.