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Paper Citation Record · LEDGER

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution

As of 15 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:38:29.099108Z digest=sha256:f76bd23c8d9066c875081c436568cb281994910c185030e18d7bb7e2b1ae019b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:38:29.211134Z digest=sha256:b43c78b4758bf95e13250457a922dbdddb6625c187c1c2bdbcf33d9124d651b1

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:fd1149cb49a7750d79b75e14b853792700cc692d550da6cbbfa5b85637ad4f26

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:38:29.033091Z digest=sha256:ce546f5ff1ab4911972538be4bfcebff5ce008cbb6b0ff2a86ebb89683f5c3ba

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=sha256:12ae5b7d314ac7b21a6058bc4f8bcff46963eb5dc0705c243d10bfc503862d24

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:b560df6f6f700a5994b86396f68b290d47a4fb7e438c4df3045ab455247dc170

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=sha256:9a721a78a14fef33652daad7c519fac5312a370d9ddf133eceb3b36d8bd527c6

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=sha256:475f745d2ba51f5d1b8a4d229ac844bdbbaee50241708f8fe31e4dec37aa0cdf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:38:28.752804Z digest=sha256:2b2c5a4620e1505487e24aad90b68f8bdb7b727db404d69cdcc56484da9d2667

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:38:28.866633Z digest=sha256:2264e9b2bc21d73550ab0a05692f4b7f6512b6ef897333386af839e8df3e087d

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=sha256:9a6ab578ed5c5a212aac4af94e66a3a183e386486497338087c246ee87fa8987

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:38:28.630490Z digest=sha256:be7478fe3e04ab0b00f32f6177612979a164e0181bc07130efeeb8caa83e758c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-08T17:22:00.332078Z digest=sha256:a25cad2e086fe3e884d2f20980a448cb3eccee9f32f1543d9f44acfca598b53b