Paper Citation Record · LEDGER

Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2105.07536.

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

pith.paper-citation-record.v1
2105.07536 v4

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 2026-08-16T06:30:59.297886+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:21:55.374018Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:39:58.478379Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 80d50c72-bf67-42a2-b4c3-824bdcbca509 · inbound

Superposition through Active Learning lens cites this paper.

Superposition through Active Learning lens Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T21:21:55.374018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 959fc05c-b213-4179-927b-678c5dcba79e · inbound

Unified dimensionality reduction techniques in chronic liver disease detection cites this paper.

Unified dimensionality reduction techniques in chronic liver disease detection Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T23:05:33.334066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9465884-21d4-4df4-9aff-c8e931fc9ed4 · inbound

In-sensor 24 classes HAR under 850 Bytes cites this paper.

In-sensor 24 classes HAR under 850 Bytes Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T20:49:38.038339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2fddfd1-ffa7-472e-b654-ae985aaf6c10 · inbound

Uncovering smooth structures in single-cell data with PCS-guided neighbor embeddings cites this paper.

Uncovering smooth structures in single-cell data with PCS-guided neighbor embeddings Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T22:13:46.975591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b1163a5-c778-4367-8dba-2a07cea51763 · inbound

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities cites this paper.

Toward Supporting Narrative-Driven Data Exploration: Barriers and Design Opportunities Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T23:49:25.610492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 762341ed-8f2a-427c-9098-19b871c537cc · inbound

What Makes Position Zero Special? A Mechanistic Study of Position Zero Attention Sinks in LLMs cites this paper.

What Makes Position Zero Special? A Mechanistic Study of Position Zero Attention Sinks in LLMs Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T06:15:44.875017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc3eae7d-0ff4-4460-b7ad-c2ae9705efa3 · inbound

Heuristic Style Transfer for Real-Time, Efficient Weather Attribute Detection cites this paper.

Heuristic Style Transfer for Real-Time, Efficient Weather Attribute Detection Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:40:27.063141Z

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 8f9f7ac9-d437-4250-8de9-f8de5b93e370 · inbound

Realistic Time-Domain Synthesis of Gravitational-Wave Detector Glitches using Class-Conditional Derivative Generative Adversarial Networks cites this paper.

Realistic Time-Domain Synthesis of Gravitational-Wave Detector Glitches using Class-Conditional Derivative Generative Adversarial Networks Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:39:58.479852Z

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 c9fcd765-ecac-446c-ac53-fda2b4e7412d · inbound

Realistic Time-Domain Synthesis of Gravitational-Wave Detector Glitches using Class-Conditional Derivative Generative Adversarial Networks cites this paper.

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:23:51.354699Z

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.