Paper Citation Record · LEDGER

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

As of 23 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 24 inbound Pith citation observations for arXiv:2502.09509.

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

pith.paper-citation-record.v1
2502.09509 v3

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:17:56.000091Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:51:23.270869Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

22 of 22 outbound references displayed

verified exact1
verified fuzzy4
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 3293cdab-b7d3-4552-a26b-78bb8481f3fb · outbound

This paper cites HexaConv.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling HexaConv

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.940817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1c94546-7516-49c9-bef2-f5e81bda5552 · outbound

This paper cites Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Exploring the Representation Manifolds of Stable Diffusion Through the Lens of Intrinsic Dimension

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.947624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6568808b-1e99-49bf-ba5e-39682e750b89 · outbound

This paper cites Autoregressive Image Generation without Vector Quantization.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Autoregressive Image Generation without Vector Quantization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.950672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10cd0c43-0c97-4a1f-becb-e3155bef9c2f · outbound

This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.970546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a02b24a-7b41-4465-a473-9e6fcfb9b7c4 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.978646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 001834eb-dab0-447b-82ee-3f5c530f4a75 · outbound

This paper cites Fast Training of Diffusion Models with Masked Transformers.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Fast Training of Diffusion Models with Masked Transformers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.982594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cf0365a-9643-40ff-9907-d344601d9ed7 · outbound

This paper cites Designing a Better Asymmetric VQGAN for StableDiffusion.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Designing a Better Asymmetric VQGAN for StableDiffusion

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.986404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73733df8-a88e-4414-ac22-6006c465fc8d · outbound

This paper cites We perform two experiments, with lower (pα = 0.7) and higher (pα = 0.3) regularization strength.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling We perform two experiments, with lower (pα = 0.7) and higher (pα = 0.3) regularization strength

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:17:56.412527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 58016da2-31ca-4c92-93f0-f009d6ca9574 · outbound

This paper cites Further Pope et al.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Further Pope et al

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:17:56.401899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e4c0cf14-4219-4aaf-864a-23b7cfb52b53 · outbound

This paper cites The distance is calculated based on the assumption that both feature distributions follow multivariate Gaussian distributions.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling The distance is calculated based on the assumption that both feature distributions follow multivariate Gaussian distributions

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:17:56.391326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0a4660fa-8b9f-49c9-84d1-ab148aade7d3 · outbound

This paper cites • LDM (Rombach et al.,.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling • LDM (Rombach et al.,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:17:56.380946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ac7da854-6c8f-475b-a44c-c7ba2572e9ee · outbound

This paper cites Besnier, V.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Besnier, V

Reference 1969

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T21:17:56.370645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 62814c16-2e6c-4c5a-ab26-87ca0b9aa6fd · outbound

This paper cites Weiler, M.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Weiler, M

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.974389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ff020ed-d55a-477b-a37c-882e363541fa · outbound

This paper cites Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.933753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b34da8c-626a-442d-b5c6-c4c3a1f8c517 · outbound

This paper cites Generating Images with Sparse Representations.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Generating Images with Sparse Representations

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.958323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd14b472-53b0-4821-87b9-d8ac08e0460a · outbound

This paper cites N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials

Reference 2018

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:17:56.232786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d4c6711a-02bc-4e77-adfd-7dee15b838fa · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.966350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26375865-157e-497d-b98b-78cb5325ba9d · outbound

This paper cites Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.937448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5010beac-9d75-43f1-b87d-1b20e8261e29 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.962163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 008983d2-3813-452e-aa2e-f52cdcbabe89 · outbound

This paper cites Does equivariance matter at scale?.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Does equivariance matter at scale?

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.926114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee675217-16af-47b0-9cff-bc8ee61fa08e · outbound

This paper cites Adversarial Autoencoders.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Adversarial Autoencoders

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.954574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 970ba31e-105c-4228-a100-be60b69572e4 · outbound

This paper cites Bridging Information-Theoretic and Geometric Compression in Language Models.

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Bridging Information-Theoretic and Geometric Compression in Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T21:17:55.929976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation dcd4fb3c-42a0-40cb-a11d-d6321688b666 · inbound

Guiding a diffusion model using sliding windows cites this paper.

Guiding a diffusion model using sliding windows EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T19:51:59.191836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 742b78d0-1f0e-4998-9da2-cd7fb19cf4d7 · inbound

Enhancing Variational Autoencoders with Smooth Robust Latent Encoding cites this paper.

Enhancing Variational Autoencoders with Smooth Robust Latent Encoding EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:51:23.270869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c85a68d-de1e-4786-9369-901e2dfd9854 · inbound

gen2seg: Generative Models Enable Generalizable Instance Segmentation cites this paper.

gen2seg: Generative Models Enable Generalizable Instance Segmentation EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:31:40.534490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0673e2a8-10d0-4dda-87d0-87f2219cf382 · inbound

Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis cites this paper.

Latent Wavelet Diffusion For Ultra-High-Resolution Image Synthesis EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:02:16.774116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bd5e9a2a-7a40-4abb-afe2-c15c61c7db04 · inbound

Improving Progressive Generation with Decomposable Flow Matching cites this paper.

Improving Progressive Generation with Decomposable Flow Matching EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T18:32:57.085748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e67ccd6d-7d0e-4b40-a0d8-b9e0fb5d1ec2 · inbound

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders cites this paper.

Re-Bottleneck: Latent Re-Structuring for Neural Audio Autoencoders EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T18:36:58.824650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41df94a4-bf91-4780-aea3-c3af2880343a · inbound

Decoupling High and Low Frequencies for Faithful Image Generation with Fine Details cites this paper.

Decoupling High and Low Frequencies for Faithful Image Generation with Fine Details EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T05:27:34.250710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41e8d3c3-e335-4503-94a8-2a90d50b1526 · inbound

Home-made Diffusion Model from Scratch to Hatch cites this paper.

Home-made Diffusion Model from Scratch to Hatch EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T04:34:36.948415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10d6f050-1204-424c-980a-507656d3a696 · inbound

VFM-VAE: Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion Models cites this paper.

VFM-VAE: Vision Foundation Models Can Be Good Tokenizers for Latent Diffusion Models EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:22:23.984698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1a1f90c5-dde6-43fc-a18b-2cd940f0d3ea · inbound

Cloning Deterministic Worlds: The Critical Role of Latent Geometry in Long-Horizon World Models cites this paper.

Cloning Deterministic Worlds: The Critical Role of Latent Geometry in Long-Horizon World Models EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:50:48.250448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cd994553-0ebe-4463-99dc-22920d7adb13 · inbound

MPDiT: Multi-Patch Global-to-Local Transformer Architecture For Efficient Flow Matching and Diffusion Model cites this paper.

MPDiT: Multi-Patch Global-to-Local Transformer Architecture For Efficient Flow Matching and Diffusion Model EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-14T23:48:19.351048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 961d1a1c-bc94-4681-b79d-a4240b50a5b8 · inbound

Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction cites this paper.

Representations Before Pixels: Semantics-Guided Hierarchical Video Prediction EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:45:58.589165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8df6adfa-b8a8-4906-a868-be8d7c4269c5 · inbound

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion cites this paper.

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:05:57.569516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3b05c9b0-5605-4a84-88e4-5ebb2c8a3ead · inbound

Transforming the Use of Earth Observation Data: Exascale Training of a Generative Compression Model with Historical Priors for up to 10,000x Data Reduction cites this paper.

Transforming the Use of Earth Observation Data: Exascale Training of a Generative Compression Model with Historical Priors for up to 10,000x Data Reduction EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:16:13.786880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 87935eb5-9b95-4163-9130-d0404adef319 · inbound

Aligning Latent Geometry for Spherical Flow Matching in Image Generation cites this paper.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:35:02.184746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c029ead1-642e-473d-8cc9-581b4d1971e7 · inbound

Vision Foundation Models as Generalist Tokenizers for Image Generation cites this paper.

Vision Foundation Models as Generalist Tokenizers for Image Generation EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:03:13.461031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0d4879a1-b83b-45bd-a588-3253e3c82fb2 · inbound

RiT: Vanilla Diffusion Transformers Suffice in Representation Space cites this paper.

RiT: Vanilla Diffusion Transformers Suffice in Representation Space EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:51:15.870921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation caf9af1b-c7be-4667-b332-d70d7d5320d7 · inbound

How Neural Losses Shape VAE Latents cites this paper.

How Neural Losses Shape VAE Latents EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:42:35.983708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3811cf6-6891-448a-9fee-d1f44aa90a4d · inbound

Diffusing in the Right Space: A Systematic Study of Latent Diffusability cites this paper.

Diffusing in the Right Space: A Systematic Study of Latent Diffusability EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:36:27.617939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3ea43fca-cf87-44da-bcf8-8daffcc9ee77 · inbound

VOID: Defeating Unauthorized Mimicry in Latent Diffusion Models cites this paper.

VOID: Defeating Unauthorized Mimicry in Latent Diffusion Models EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:07:56.159940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c7a48dc5-825c-4867-b020-687260a69c32 · inbound

DiffusionBench: On Holistic Evaluation of Diffusion Transformers cites this paper.

DiffusionBench: On Holistic Evaluation of Diffusion Transformers EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:59:58.014472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c9d88efc-8042-41fe-b144-27d5684158ab · inbound

ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling cites this paper.

ROMS-IMLE: A Minimalist Approach to Competitive Single-Step Generative Modelling EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T12:48:16.605643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 671b67c1-da57-4d1d-ae5c-3008ddd8b330 · inbound

AnchorMark: Robust Diffusion Watermarking via Latent-Space Rotation Synchrony cites this paper.

AnchorMark: Robust Diffusion Watermarking via Latent-Space Rotation Synchrony EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T05:53:54.980035Z

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Unavailable: canonical work link unavailable.

Observation e35f4549-467c-4539-8475-c4a8a2511863 · inbound

SPAE: Spectrally Guided Autoencoder for Pretrained Visual Latents cites this paper.

SPAE: Spectrally Guided Autoencoder for Pretrained Visual Latents EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T00:24:07.114827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.