Paper Citation Record · LEDGER

How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2203.04450.

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

pith.paper-citation-record.v1
2203.04450 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:39:08.296315Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T15:58:37.589446Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 7259c84d-b4dd-4557-b098-f8cedb58efa3 · inbound

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection cites this paper.

ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:36:48.399901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8d26bcc0-f5e7-4ef2-9ef5-380918f2aabb · inbound

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors cites this paper.

Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T04:39:08.296315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62e33b4b-98f1-4d24-a83f-8f7c93a47687 · inbound

Task-Driven Discrete Representation Learning cites this paper.

Task-Driven Discrete Representation Learning How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T04:16:55.589750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 884f6b20-324b-4f8a-8d9a-d4e8123b91fb · inbound

Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection cites this paper.

Knowledge Regularized Negative Feature Tuning of Vision-Language Models for Out-of-Distribution Detection How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T14:05:46.450675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc886285-71a4-4766-b0e4-559f9363e7b6 · inbound

VAE with Hyperspherical Coordinates: Improving Anomaly Detection from Hypervolume-Compressed Latent Space cites this paper.

VAE with Hyperspherical Coordinates: Improving Anomaly Detection from Hypervolume-Compressed Latent Space How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T08:17:25.171346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf0f81e6-4231-4fd3-a796-911fc980f158 · inbound

TINS: Test-time ID-prototype-separated Negative Semantics Learning for OOD Detection cites this paper.

TINS: Test-time ID-prototype-separated Negative Semantics Learning for OOD Detection How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:41:43.604444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8dfda1e1-0694-4eac-afda-e529989d471e · inbound

ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection cites this paper.

ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:58:37.590992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 29729a9f-ee80-4389-b814-2ff685f31b39 · inbound

ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection cites this paper.

ArcAD: Anomaly-Rectified Calibration for Cold-Start Supervised Anomaly Detection How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T04:36:15.314312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.