Paper Citation Record · LEDGER

Isolating Sources of Disentanglement in Variational Autoencoders

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1802.04942.

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

pith.paper-citation-record.v1
1802.04942 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:57:58.929800Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-23T03:17:27.344963Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 c23ed47a-3692-4434-8612-5f0e93f161d3 · inbound

Geometric Disentanglement for Generative Latent Shape Models cites this paper.

Geometric Disentanglement for Generative Latent Shape Models Isolating Sources of Disentanglement in Variational Autoencoders

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T12:52:05.399754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7bb5a6c-bf11-4b47-8f9f-03f9b1569ca4 · inbound

Theory and Evaluation Metrics for Learning Disentangled Representations cites this paper.

Theory and Evaluation Metrics for Learning Disentangled Representations Isolating Sources of Disentanglement in Variational Autoencoders

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T11:01:53.020273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51f6f3f6-9a49-4aa8-a303-e5aebce409ad · inbound

Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations cites this paper.

Independent Subspace Analysis for Unsupervised Learning of Disentangled Representations Isolating Sources of Disentanglement in Variational Autoencoders

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-14T05:02:20.803845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a8b8044-1202-4d8b-ac07-1028bd19f5e8 · inbound

Distributional Autoencoders Know the Score cites this paper.

Distributional Autoencoders Know the Score Isolating Sources of Disentanglement in Variational Autoencoders

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-23T03:17:27.348195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8b1e40c5-ba9b-41b7-9d46-c088a6f45fe4 · inbound

Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection cites this paper.

Learning Variational Quantum Circuit Parameters with Classical Artificial Intelligence for Quantum Phase Transition Detection Isolating Sources of Disentanglement in Variational Autoencoders

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T05:58:31.736542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1a73540-16b9-461f-956c-2de1c5c047a4 · inbound

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization cites this paper.

Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization Isolating Sources of Disentanglement in Variational Autoencoders

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:57:58.929800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aee3f686-ef5a-4ed1-9852-6b5fb525c006 · inbound

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision cites this paper.

XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision Isolating Sources of Disentanglement in Variational Autoencoders

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T06:57:45.731978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0f6265b-c6ba-4ffd-9e60-2f7fa8d62a8d · inbound

Deep Attention Reweighting: Post-Hoc Attention-Based Feature Aggregation in CNNs for Disentangling Core and Spurious Features under Spurious Correlations cites this paper.

Deep Attention Reweighting: Post-Hoc Attention-Based Feature Aggregation in CNNs for Disentangling Core and Spurious Features under Spurious Correlations Isolating Sources of Disentanglement in Variational Autoencoders

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:09:38.785135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2d3a07c9-63b9-4055-8a31-7f9c435b7572 · 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 Isolating Sources of Disentanglement in Variational Autoencoders

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T17:22:00.613165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.