Paper Citation Record · LEDGER

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning

As of 16 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:1908.03015.

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

pith.paper-citation-record.v1
1908.03015 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:33:04.725371Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

16 of 16 outbound references displayed

verified exact1
verified fuzzy7
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6eb77777-1570-4680-bf29-fa882ad774a3 · outbound

This paper cites Kingma, Danilo J.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning Kingma, Danilo J

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:33:04.951680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b1c2f2b6-9a76-416f-8277-158fb4119c2e · outbound

This paper cites Kingma, Max Welling Auto-Encoding Variational Bayes In Proceedings of the 2nd International Conference on Learning Representations (ICLR), 2014.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning Kingma, Max Welling Auto-Encoding Variational Bayes In Proceedings of the 2nd International Conference on Learning Representations (ICLR), 2014

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:33:04.941002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d259097a-b727-4998-8d89-44e48c386cfa · outbound

This paper cites Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:33:04.814029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 22c708c5-c0b6-4159-a4af-f93c93442c14 · outbound

This paper cites Semi-unsupervised Learning of Human Activity using Deep Generative Models.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning Semi-unsupervised Learning of Human Activity using Deep Generative Models

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T14:33:04.796782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 06d80902-252f-4488-b118-26a1240a1eb1 · outbound

This paper cites an unresolved cited work.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:33:04.927909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7f4e5fc6-e540-4a13-96a9-1705ba94be67 · outbound

This paper cites LeCun, C.Cortes MNIST handwritten digit database http://yann.lecun.com/exdb/mnist/.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning LeCun, C.Cortes MNIST handwritten digit database http://yann.lecun.com/exdb/mnist/

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:33:04.916728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 60e078d0-ba09-45e6-8e01-60c0e3e9eba2 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T14:33:04.692524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dae0cdc1-17e4-4c48-a57f-e4ace43d32c6 · outbound

This paper cites toronto.edu/ ~tijmen/ csc321/ slides/ lecture_slides_lec6.pdf.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning toronto.edu/ ~tijmen/ csc321/ slides/ lecture_slides_lec6.pdf

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:33:04.903986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6fedbcb9-06d6-402a-8a0a-c80a20c75b1b · outbound

This paper cites an unresolved cited work.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:33:04.888549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 31eb45d3-8031-4b05-931d-790eb8a84246 · outbound

This paper cites Honolulu, HI, USA, 21-26 July 2017.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning Honolulu, HI, USA, 21-26 July 2017

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:33:04.876193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 684169ad-01ed-4999-8806-c9f36830b65f · outbound

This paper cites Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T14:33:04.707648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f85b606-51ec-4273-8b62-58877941e5b7 · outbound

This paper cites an unresolved cited work.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:33:04.860936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5977c6ea-55dd-48b9-bacb-f99c1420cf7e · outbound

This paper cites CVPR 2004.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning CVPR 2004

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:33:04.849210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2b4c7b2b-5213-4441-8b6a-3239855edb47 · outbound

This paper cites an unresolved cited work.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-14T14:33:04.838122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a445103a-4978-4331-8422-b08b83013b1f · outbound

This paper cites Recent Advances in Autoencoder-Based Representation Learning.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning Recent Advances in Autoencoder-Based Representation Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T14:33:04.721798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 293b8fc2-dff0-4364-bc6a-26e8957fe298 · outbound

This paper cites The architecture is shown below in Table 13.

Augmenting Variational Autoencoders with Sparse Labels: A Unified Framework for Unsupervised, Semi-(un)supervised, and Supervised Learning The architecture is shown below in Table 13

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:33:04.826048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.