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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:49:38.038339Z

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

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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 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.

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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.

source=pdf_text observed=2026-08-06T22:13:46.975591Z digest=sha256:e32c22dc32443092a6c38be446d8befa9b3f2ea5f89a17254da6272e9ef8ad7f

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.

source=pdf_text observed=2026-08-05T23:49:25.610492Z digest=sha256:58f938f6c9a97ea9773d23b219b9919b795de3135ee93a173e7d102269121438

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.

source=pdf_text observed=2026-08-04T06:15:44.875017Z digest=sha256:a19a94e36996d6ae099f3f6836c51a66525a2063382fd2f7cb9cd0b61d96dad5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T13:37:59.894503Z digest=sha256:2b497df5be95553f47c180b0be0403096ef1507f46994a6dcda2988556ee5d6d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T02:44:17.367462Z digest=sha256:be37db7fd1ff8d3d6e12e43becda3c27fe61cf51c207f345119d1adfd7304fbc

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.

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 2026-06-29T18:23:51.354699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T05:06:31.140303Z digest=sha256:2e105bfc16b3cec7090c9cdb012b0fd858f8fde93aa4d0791ec3831bcc9619d0