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Paper Citation Record · LEDGER

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution

As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2506.21278.

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

pith.paper-citation-record.v1
2506.21278 v3

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:38:29.211134Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:22:00.332078Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T17:22:00.978828Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e4b7aa21-e7a1-4b3d-a8c4-81a1f6aa2887 · outbound

This paper cites Hence, by monotonicity, for alld≥3, −1− log(1−z) z =J 3(z)≤J d(z)≤log 1−z/2 1−z.

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution Hence, by monotonicity, for alld≥3, −1− log(1−z) z =J 3(z)≤J d(z)≤log 1−z/2 1−z

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:38:30.415788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:38:29.099108Z digest=sha256:248658b78c8cec76cfbb8316a4d9d98edb0adca62f878b632e667ae90c314767

Observation 62d92c8c-245f-416e-8073-d992d86c5717 · outbound

This paper cites an unresolved cited work.

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:38:30.241819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:38:29.211134Z digest=sha256:7386b60a04788aa94db27b2de1b8fe26cfeec2d08bba67061d5e829207275c4a

Observation 2dbfabbb-600a-4c8e-bacd-f35e8fee83ca · outbound

This paper cites Spherical Latent Spaces for Stable Variational Autoencoders.

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution Spherical Latent Spaces for Stable Variational Autoencoders

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T22:38:28.968997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:38:28.968997Z digest=sha256:60b1796095da51dacf84e5cf7ab4431ebda98091b00e384feee5656b00e2bbc2

Observation 8f0ee07a-6759-4af1-9a27-ca7a4dd65a16 · outbound

This paper cites Spherical Latent Spaces for Stable Variational Autoencoders.

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution Spherical Latent Spaces for Stable Variational Autoencoders

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T22:38:29.432041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:38:29.033091Z digest=sha256:d29cdbb3ab79b419d8f12efb66e45857a3eed3cbb420c388d00f0279296160eb

Observation c10377c7-4ec9-439b-9632-d564b6728f00 · outbound

This paper cites Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms.

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-06T22:38:28.523361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:38:28.523361Z digest=sha256:2260b54015c2830d994fa95cd39c810dd4fbc7ad33066fb6b7fea6747d44d553

Observation d56b40eb-9ed1-4f0b-8dd3-f504a7c2cb67 · outbound

This paper cites Hyperspherical Variational Auto-Encoders.

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution Hyperspherical Variational Auto-Encoders

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-06T22:38:28.302773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:38:28.302773Z digest=sha256:9d6ccd1c1f1fba391cd5c08b459288c014001b44ba5d02ed49618dd3d6919544

Observation 2ee81064-d049-4250-895a-e6fac680c6f1 · outbound

This paper cites Increasing Expressivity of a Hyperspherical VAE.

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution Increasing Expressivity of a Hyperspherical VAE

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-06T22:38:28.364682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:38:28.364682Z digest=sha256:11a56eb7b82ac076b65e0423bf82b50fd48ed20e87fac44596b8e329a08df4d4

Observation 864ba7a7-3b54-4d86-bdab-2ca247ffa50d · outbound

This paper cites an unresolved cited work.

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution Unresolved cited work

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-06T22:38:28.429160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:38:28.429160Z digest=sha256:0ad895a4fcc4752fd7b9f044d5572ab0c1ca3af56dff623fdf95d990e148a099

Observation 17f6c2a8-d330-4115-8412-b9eaef80f97a · outbound

This paper cites von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning.

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning

Reference 2021

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T22:38:29.772724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:38:28.752804Z digest=sha256:65c8b9c81790b6ee8341b71e51fd216757a0a87c9dd6642050d53cce11104aca

Observation 463c7230-7b26-4a96-a91b-18de44f2362a · outbound

This paper cites An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?.

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?

Reference 2022

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T22:38:29.610210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:38:28.866633Z digest=sha256:b17d292a36caba16adcc3b06f8f3d1faa21987efa8d9fe591d970d27e4046f61

Observation fa57b7d6-b89f-4f21-9c09-b27a6684f830 · outbound

This paper cites Hyperspherical Variational Auto-Encoders.

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution Hyperspherical Variational Auto-Encoders

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T22:38:28.206312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:38:28.206312Z digest=sha256:7aac0e62ba602f78e977bce1393f5c927d8fbd7b241317f6b7ab9891961fa0e6

Observation fd1f654e-41c4-40df-8c80-16fdd32a0f6c · outbound

This paper cites Tyler R Scott, Andrew C Gallagher, and Michael C Mozer.

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution Tyler R Scott, Andrew C Gallagher, and Michael C Mozer

Reference 2025

Resolution
verified exact
doi, observed 2026-08-06T22:38:29.964249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T22:38:28.630490Z digest=sha256:727737c71247c75703cefe7c836b006073a5a5f352999c17526fe745fefdce3c

Pith citing papers

Observation bc5c1daa-ca61-4f1a-8b4b-2f245f2fdf5d · inbound

Marginal Matching Does Not License Factorized Sampling: Auditing Conditional Style Leakage in Factorized Generative Models cites this paper.

Marginal Matching Does Not License Factorized Sampling: Auditing Conditional Style Leakage in Factorized Generative Models Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T17:22:00.984213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-08T17:22:00.332078Z digest=sha256:a23e11508e8bc4781f3287fc97e9a29c46c86bbb529ccaf90b779804c6adfe6f