Paper Citation Record · LEDGER

PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning

As of 16 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.

pith.paper-citation-record.v1
2502.02856 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:55:01.161633Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.