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Paper Citation Record · LEDGER

Hyperspherical Variational Autoencoders Using Efficient Spherical Cauchy Distribution

As of 8 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:38:29.099108Z digest=sha256:ed3aac50471783f6f3ce7065442730e560bdc6045281c9989027a8ecfcd0b331

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:38:29.211134Z digest=sha256:29f7c10a976c51c3acf2a77475be86f06352692efa44c98483077072e07cd44b

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=sha256:6f58fd094e44752b6ce62c5e8061546932066897b378697e9d621f46f0d6655f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:38:29.033091Z digest=sha256:0c95f5dfd2d05ec3189d7db710dfdbdad1b4740fdab6a167aaeb1de53bad67c4

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=sha256:9dba63f7c50e98a04be8a42f021ea6cca1a392e72edc529daeb9ee420d6b8f12

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=sha256:181c0f269c0b9d7a568804b937b077819680ee54aebe01d701de739c97f99116

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=sha256:39f0efb570145b3ffe8c162f7d08ebe677bc9fa9dbff3bce8620229b42adbbc5

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:bcfdc4a19b2eb615ccf4f1a5a2822300b9ea6e3d96e63334200ddda10439b32c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:38:28.752804Z digest=sha256:088f2751a5090469149a00b4ac1c7ce5e7c42f2460d0df408bffd2f20ebc1f99

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:38:28.866633Z digest=sha256:f9c6b3d82c16a675a7a78445512bca3bb020abcf336ba1e68885774a327ab2ea

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:e41d4fa518a62eb220045dc1cfd6d905460a4e284e86efd9065cf3ad5bb1d597

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:38:28.630490Z digest=sha256:9d3656316703a2ed0a071465427e02db2c97408082035df3f545d4d7a6013e20

Pith citing papers

No inbound Pith citation observations are available.