Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T10:55:01.161633Z
Paper Citation Record · LEDGER
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning
As of 18 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2502.02856.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
22 of 22 outbound references displayed
- verified exact0
- verified fuzzy14
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0b9cac3c-9f7f-46b5-8c55-f1e7c450fa83 · outbound
This paper cites The autoencoding variational autoencoder.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning The autoencoding variational autoencoder
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:01.339020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2c7fb85f-afb5-4f40-a7bb-d88bcde45b3f · outbound
This paper cites Recent advances in variational autoencoders with representation learning for biomedical informatics: A survey.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning Recent advances in variational autoencoders with representation learning for biomedical informatics: A survey
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:01.331755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation eb240f91-a7df-45f5-bce2-92bf4e00969a · outbound
This paper cites Recent research and applications in variational autoencoders for industrial prognosis and health management: A survey.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning Recent research and applications in variational autoencoders for industrial prognosis and health management: A survey
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:01.324390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 96f62880-80da-44a4-a3ef-9c970df8f153 · outbound
This paper cites An overview of variational autoencoders for source separation, finance, and bio-signal applications.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning An overview of variational autoencoders for source separation, finance, and bio-signal applications
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:01.316796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d9b8f014-e03b-494f-ad14-ca2d613630f1 · outbound
This paper cites and Shi, S., Generative artificial intelligence and its applications in materials science: Current situation and future perspectives.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning and Shi, S., Generative artificial intelligence and its applications in materials science: Current situation and future perspectives
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:01.310230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 188f69e3-a7c2-4874-a37f-84c59871dcc2 · outbound
This paper cites and Lerchner, A., beta-VAE: Learning basic visual concepts with a constrained variational framework.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning and Lerchner, A., beta-VAE: Learning basic visual concepts with a constrained variational framework
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:01.303750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a5079f49-7dfc-41a0-9439-1f06e0836eba · outbound
This paper cites Understanding disentangling in $\beta$-VAE.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning Understanding disentangling in $\beta$-VAE
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:01.122556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b8b5497-d25b-4f92-8118-886fee8316df · outbound
This paper cites and Kautz, J., NVAE: A deep hierarchical variational autoencoder.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning and Kautz, J., NVAE: A deep hierarchical variational autoencoder
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:01.297096Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f250ed00-6c6d-4d95-b06a-3cc6601faa53 · outbound
This paper cites Variational Inference of Disentangled Latent Concepts from Unlabeled Observations.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:01.128422Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97e0ff7d-17bb-41c1-b4bd-c7832b1b9f5b · outbound
This paper cites and Ermon, S.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning and Ermon, S
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:01.289988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1424a9cf-47a3-475b-a5ba-3e90392c7e22 · outbound
This paper cites and Cho, S., Variational autoencoder based anomaly detection using reconstruction probability.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning and Cho, S., Variational autoencoder based anomaly detection using reconstruction probability
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:01.282161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cd482567-c643-4950-b0b3-d87d8693a089 · outbound
This paper cites and Mnih, A., 2018, July.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning and Mnih, A., 2018, July
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:01.273752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8ca38fc8-cc1f-46b5-b4e6-3f80360d37f1 · outbound
This paper cites Relevance Factor VAE: Learning and Identifying Disentangled Factors.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning Relevance Factor VAE: Learning and Identifying Disentangled Factors
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:01.139077Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac691ca0-392e-4252-9a6a-e567da2ce3d2 · outbound
This paper cites and Roy, N., Task-conditioned variational autoencoders for learning movement primitives.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning and Roy, N., Task-conditioned variational autoencoders for learning movement primitives
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:01.265729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9f7c6af4-fb2a-426a-ac4a-2b61eeb41b4f · outbound
This paper cites Dynamical Variational Autoencoders: A Comprehensive Review.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning Dynamical Variational Autoencoders: A Comprehensive Review
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:01.143494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5fef02ec-7b2e-4e78-942e-a4c7ac9e2144 · outbound
This paper cites Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:01.145915Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46dd949b-b307-4e04-a5dd-7e2f4874f253 · outbound
This paper cites and Zhu, W., Disentangled representation learning.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning and Zhu, W., Disentangled representation learning
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:01.257597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c43571b4-88b7-4ebc-86a9-b696a5eb13f5 · outbound
This paper cites Disentangling Variational Autoencoders.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning Disentangling Variational Autoencoders
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-09T10:55:01.199292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6e1d9bb2-872e-499d-b0f3-24a41325828a · outbound
This paper cites and Dauwels, J.,α TC-VAE: On the relationship between Disentanglement and Diversity.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning and Dauwels, J.,α TC-VAE: On the relationship between Disentanglement and Diversity
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:01.249203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 165a2583-4236-4b29-af72-d4ae3452880c · outbound
This paper cites Auto-Encoding Variational Bayes.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning Auto-Encoding Variational Bayes
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:01.155967Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaff8de5-180a-4cfa-abee-a4f3125fdac8 · outbound
This paper cites Tutorial on Variational Autoencoders.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning Tutorial on Variational Autoencoders
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T10:55:01.158781Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99c0f46a-6b23-4282-8908-b8e353424dff · outbound
This paper cites Deep Learning Face Attributes in the Wild, In Proceedings of International Conference on Computer Vision (ICCV), December, 2015.
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning Deep Learning Face Attributes in the Wild, In Proceedings of International Conference on Computer Vision (ICCV), December, 2015
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-09T10:55:01.240517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.