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Paper Citation Record · LEDGER

Tutorial on Variational Autoencoders

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 88 inbound Pith citation observations for arXiv:1606.05908.

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

pith.paper-citation-record.v1
1606.05908 v3

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 88 of 88 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 88 of 88 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:29.234689Z

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

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External citation measurements

1379
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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To each route its own ETA: A generative modeling framework for ETA prediction cites this paper.

To each route its own ETA: A generative modeling framework for ETA prediction Tutorial on Variational Autoencoders

Reference 24

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Neural Embedding for Physical Manipulations cites this paper.

Neural Embedding for Physical Manipulations Tutorial on Variational Autoencoders

Reference 51

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WriterForcing: Generating more interesting story endings cites this paper.

WriterForcing: Generating more interesting story endings Tutorial on Variational Autoencoders

Reference 6

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LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning cites this paper.

LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning Tutorial on Variational Autoencoders

Reference 32

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Deep Generative Model Driven Protein Folding Simulation cites this paper.

Deep Generative Model Driven Protein Folding Simulation Tutorial on Variational Autoencoders

Reference 5

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DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning cites this paper.

DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning Tutorial on Variational Autoencoders

Reference 21

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Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma cites this paper.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Tutorial on Variational Autoencoders

Reference 20

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Observation ec8bc9f9-11c1-4d54-9c1b-592add75a74f · inbound

Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning cites this paper.

Tutorial and Survey on Probabilistic Graphical Model and Variational Inference in Deep Reinforcement Learning Tutorial on Variational Autoencoders

Reference 31

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InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy cites this paper.

InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy Tutorial on Variational Autoencoders

Reference 11

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MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework cites this paper.

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework Tutorial on Variational Autoencoders

Reference 245

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Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning cites this paper.

Structure learning with Temporal Gaussian Mixture for model-based Reinforcement Learning Tutorial on Variational Autoencoders

Reference 14

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Reward driven workflows for unsupervised explainable analysis of phases and ferroic variants from atomically resolved imaging data cites this paper.

Reward driven workflows for unsupervised explainable analysis of phases and ferroic variants from atomically resolved imaging data Tutorial on Variational Autoencoders

Reference 10

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Cluster Specific Representation Learning cites this paper.

Cluster Specific Representation Learning Tutorial on Variational Autoencoders

Reference 21

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Variational Encoder-Decoders for Learning Latent Representations of Physical Systems cites this paper.

Variational Encoder-Decoders for Learning Latent Representations of Physical Systems Tutorial on Variational Autoencoders

Reference 6

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Dimensionality Reduction Techniques for Global Bayesian Optimisation cites this paper.

Dimensionality Reduction Techniques for Global Bayesian Optimisation Tutorial on Variational Autoencoders

Reference 8

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Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis cites this paper.

Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis Tutorial on Variational Autoencoders

Reference 2021

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Iterative Encoding-Decoding VAEs Anomaly Detection in NOAA's DART Time Series: A Machine Learning Approach for Enhancing Data Integrity for NASA's GRACE-FO Verification and Validation cites this paper.

Iterative Encoding-Decoding VAEs Anomaly Detection in NOAA's DART Time Series: A Machine Learning Approach for Enhancing Data Integrity for NASA's GRACE-FO Verification and Validation Tutorial on Variational Autoencoders

Reference 10

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Integrating Random Effects in Variational Autoencoders for Dimensionality Reduction of Correlated Data cites this paper.

Integrating Random Effects in Variational Autoencoders for Dimensionality Reduction of Correlated Data Tutorial on Variational Autoencoders

Reference 9

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GAS: Generative Auto-bidding with Post-training Search cites this paper.

GAS: Generative Auto-bidding with Post-training Search Tutorial on Variational Autoencoders

Reference 10

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Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence cites this paper.

Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence Tutorial on Variational Autoencoders

Reference 14

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Leveraging Self-Training and Variational Autoencoder for Agitation Detection in People with Dementia Using Wearable Sensors cites this paper.

Leveraging Self-Training and Variational Autoencoder for Agitation Detection in People with Dementia Using Wearable Sensors Tutorial on Variational Autoencoders

Reference 45

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Towards Unraveling and Improving Generalization in World Models cites this paper.

Towards Unraveling and Improving Generalization in World Models Tutorial on Variational Autoencoders

Reference 22

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InDeed: Interpretable image deep decomposition with guaranteed generalizability cites this paper.

InDeed: Interpretable image deep decomposition with guaranteed generalizability Tutorial on Variational Autoencoders

Reference 67

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Circuit Complexity Bounds for Visual Autoregressive Model cites this paper.

Circuit Complexity Bounds for Visual Autoregressive Model Tutorial on Variational Autoencoders

Reference 2018

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On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis cites this paper.

On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis Tutorial on Variational Autoencoders

Reference 2018

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On the Statistical Capacity of Deep Generative Models cites this paper.

On the Statistical Capacity of Deep Generative Models Tutorial on Variational Autoencoders

Reference 12

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Fokker-Planck to Callan-Symanzik: evolution of weight matrices under training cites this paper.

Fokker-Planck to Callan-Symanzik: evolution of weight matrices under training Tutorial on Variational Autoencoders

Reference 14

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PXGen: A Post-hoc Explainable Method for Generative Models cites this paper.

PXGen: A Post-hoc Explainable Method for Generative Models Tutorial on Variational Autoencoders

Reference 8

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FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning cites this paper.

FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning Tutorial on Variational Autoencoders

Reference 46

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Drivetrain simulation using variational autoencoders cites this paper.

Drivetrain simulation using variational autoencoders Tutorial on Variational Autoencoders

Reference 44

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Exploring Representation-Aligned Latent Space for Better Generation cites this paper.

Exploring Representation-Aligned Latent Space for Better Generation Tutorial on Variational Autoencoders

Reference 2021

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Observation 4ef88b7f-d51b-499d-b6da-9000e0a51e74 · inbound

Layer Separation: Adjustable Joint Space Width Images Synthesis in Conventional Radiography cites this paper.

Layer Separation: Adjustable Joint Space Width Images Synthesis in Conventional Radiography Tutorial on Variational Autoencoders

Reference 12

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PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning cites this paper.

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

Reference 21

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Generative Adversarial Networks Bridging Art and Machine Intelligence cites this paper.

Generative Adversarial Networks Bridging Art and Machine Intelligence Tutorial on Variational Autoencoders

Reference 172

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Observation 082b9bcf-43e1-467e-b6f1-980fc64182da · inbound

On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices cites this paper.

On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices Tutorial on Variational Autoencoders

Reference 15

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Observation 810122b2-e3ae-403c-a109-59d0a07b2d3f · inbound

AI/ML-Based Automatic Modulation Recognition: Recent Trends and Future Possibilities cites this paper.

AI/ML-Based Automatic Modulation Recognition: Recent Trends and Future Possibilities Tutorial on Variational Autoencoders

Reference 46

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Observation e04e33f9-f4c8-44b4-a84c-718325a3027d · inbound

Image Watermarking of Generative Diffusion Models cites this paper.

Image Watermarking of Generative Diffusion Models Tutorial on Variational Autoencoders

Reference 12

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Observation 72dcbb02-34d1-4080-9345-4e1a0f6e143b · inbound

Voice Conversion with Diverse Intonation using Conditional Variational Auto-Encoder cites this paper.

Voice Conversion with Diverse Intonation using Conditional Variational Auto-Encoder Tutorial on Variational Autoencoders

Reference 9

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Observation 0496b229-b5fc-433e-987c-29f4689c2f2f · inbound

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions cites this paper.

Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions Tutorial on Variational Autoencoders

Reference 14

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Observation e5814a24-29d5-4694-90cb-4c2bed4863c4 · inbound

Unsupervised outlier detection to improve bird audio dataset labels cites this paper.

Unsupervised outlier detection to improve bird audio dataset labels Tutorial on Variational Autoencoders

Reference 16

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Observation 2a1dc96c-b493-45d0-89c4-06965129b63b · inbound

Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review cites this paper.

Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review Tutorial on Variational Autoencoders

Reference 55

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Observation c74fccd9-e3bd-4b09-a8ff-dffe82f11d8f · inbound

Variational OOD State Correction for Offline Reinforcement Learning cites this paper.

Variational OOD State Correction for Offline Reinforcement Learning Tutorial on Variational Autoencoders

Reference 7

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Observation 36fe6fb7-72e2-40fe-8577-6f4684804b42 · inbound

DiffPattern-Flex: Efficient Layout Pattern Generation via Discrete Diffusion cites this paper.

DiffPattern-Flex: Efficient Layout Pattern Generation via Discrete Diffusion Tutorial on Variational Autoencoders

Reference 25

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Observation 70e18231-7b47-4e88-8c39-4de16d192269 · inbound

An Introduction to Discrete Variational Autoencoders cites this paper.

An Introduction to Discrete Variational Autoencoders Tutorial on Variational Autoencoders

Reference 4

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source=arxiv_source observed=2026-08-15T21:15:03.087338Z digest=sha256:9237f3e2cce4e5c59291894bb70020a58d783904a8857e13252b3ce844310231

Observation 13327c7f-a3b1-4e57-bbbb-1e83e4b233b6 · inbound

Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences cites this paper.

Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences Tutorial on Variational Autoencoders

Reference 2013

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Observation c59560bc-9adf-4ef4-8051-6167db3bdeb5 · inbound

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation cites this paper.

ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation Tutorial on Variational Autoencoders

Reference 8

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source=arxiv_source observed=2026-08-07T13:00:33.904529Z digest=sha256:5e51610a73d93ebe071ac7a33d484e3809bcd7a1169ef7b7bb6bbbc411359271

Observation 285846b9-c8c8-4532-adbd-75de216fc6e9 · inbound

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications cites this paper.

A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications Tutorial on Variational Autoencoders

Reference 22

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source=pdf_text observed=2026-08-07T04:49:05.452545Z digest=sha256:7ffaf8961b08b7fd0a676a03e0a15862f84b7194c1f6fd20ad30aa3f335d2b81

Observation c5febc3c-88dc-47b3-b03b-5fc0520dbbb9 · inbound

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges cites this paper.

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges Tutorial on Variational Autoencoders

Reference 120

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source=pdf_text observed=2026-08-07T15:27:00.988839Z digest=sha256:10724b79376e1841fccc7101825c2936b1d8f66c6f8adbfd45f774bf2fdc68d0

Observation 7ec88026-703e-416c-beb3-7143ec709efa · inbound

Black Hole Spectroscopy with Conditional Variational Autoencoder cites this paper.

Black Hole Spectroscopy with Conditional Variational Autoencoder Tutorial on Variational Autoencoders

Reference 2021

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source=pdf_text observed=2026-08-15T19:11:25.354060Z digest=sha256:3554e6409e10ab0d023531d7750782e0944673d0e0921103e82040c7bbc2999c

Observation d056bc6f-51ec-48e3-ba40-50ecea0b288b · inbound

Towards Foundation Auto-Encoders for Time-Series Anomaly Detection cites this paper.

Towards Foundation Auto-Encoders for Time-Series Anomaly Detection Tutorial on Variational Autoencoders

Reference 8

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Observation 30a7c531-f4d9-4555-b3fe-bd880ce26fd0 · inbound

Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching cites this paper.

Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching Tutorial on Variational Autoencoders

Reference 8

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source=arxiv_source observed=2026-08-06T18:54:27.674042Z digest=sha256:35a224fdf0086015c5032eca5a378bd2f273b16b0bf3d9cd4bbd6d480370c5c5

Observation 816b6dca-c4ee-4b21-8a50-467f1aaa3b1a · inbound

Deciphering the Small-Angle Scattering of Polydisperse Hard Spheres using Deep Learning cites this paper.

Deciphering the Small-Angle Scattering of Polydisperse Hard Spheres using Deep Learning Tutorial on Variational Autoencoders

Reference 32

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source=arxiv_source observed=2026-08-06T18:04:03.263649Z digest=sha256:0c573508eda646e1bab797058b005b0eec3b36572510cd71dcfadba93a4b03a7

Observation eed115d1-6909-4d37-a272-dcb2fbc9db50 · inbound

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective cites this paper.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Tutorial on Variational Autoencoders

Reference 30

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source=pdf_text observed=2026-08-06T17:57:08.255677Z digest=sha256:c2ff5fd3672c87b4ef05e60d8787ab4126f3d988b98ed10071150b142a9b6099

Observation 06b4d4ad-2901-4986-afe9-37fcac36f7fa · inbound

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling cites this paper.

CT-ScanGaze: A Dataset and Baselines for 3D Volumetric Scanpath Modeling Tutorial on Variational Autoencoders

Reference 19

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source=pdf_text observed=2026-08-06T16:49:51.737885Z digest=sha256:34df8592bbf37be963cf387f2f09fd50c28e1851ada87e1a189be0c02bb4205a

Observation a8c32dd9-e946-4d69-99f9-d593f4707a0f · inbound

Deep-Learning Investigation of Vibrational Raman Spectra for Plant-Stress Analysis cites this paper.

Deep-Learning Investigation of Vibrational Raman Spectra for Plant-Stress Analysis Tutorial on Variational Autoencoders

Reference 31

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source=pdf_text observed=2026-08-06T15:28:57.964136Z digest=sha256:bbbd2bb25481384d1983442f025120529c7bbcf94456b6eb066cc293cc4a9d49

Observation 32214bba-92db-4d35-91f4-1d9a5e36501d · inbound

From Gallery to Wrist: Realistic 3D Bracelet Insertion in Videos cites this paper.

From Gallery to Wrist: Realistic 3D Bracelet Insertion in Videos Tutorial on Variational Autoencoders

Reference 7

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source=pdf_text observed=2026-08-15T17:51:14.881683Z digest=sha256:478925e5d0192adb2dc498883444ea955914bfee5673fe0736590c503954011f

Observation 8d69085d-bb82-4a1b-8e36-2fbc9f2a42ce · inbound

Comparing Normalizing Flows with Kernel Density Estimation in Estimating Risk of Automated Driving Systems cites this paper.

Comparing Normalizing Flows with Kernel Density Estimation in Estimating Risk of Automated Driving Systems Tutorial on Variational Autoencoders

Reference 34

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Observation d2b47b73-1447-4955-ac6b-bef004bc7c49 · inbound

Physical Layer Authentication Based on Hierarchical Variational Auto-Encoder for Industrial Internet of Things cites this paper.

Physical Layer Authentication Based on Hierarchical Variational Auto-Encoder for Industrial Internet of Things Tutorial on Variational Autoencoders

Reference 20

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source=pdf_text observed=2026-08-05T22:40:09.505265Z digest=sha256:12e1c5e0c6ba5e69390191c5f4b7fa8ed56ceff7c2a74c957d6c15f716b72677

Observation 17f44955-5184-446d-ba9d-53a15a2a5a40 · inbound

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges cites this paper.

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges Tutorial on Variational Autoencoders

Reference 54

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Observation da80d614-e585-4405-bf8a-c3e62a9b6df4 · inbound

End to End Autoencoder MLP Framework for Sepsis Prediction cites this paper.

End to End Autoencoder MLP Framework for Sepsis Prediction Tutorial on Variational Autoencoders

Reference 63

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source=pdf_text observed=2026-08-05T16:23:25.170795Z digest=sha256:9e8b363f73cc1e70817bd9aed2976902912671e43ffbe3144dfdcbe48faf1b2a

Observation 750efb93-c671-48cd-bdc2-541ce26ab75c · inbound

RARR : Robust Real-World Activity Recognition with Vibration by Scavenging Near-Surface Audio Online cites this paper.

RARR : Robust Real-World Activity Recognition with Vibration by Scavenging Near-Surface Audio Online Tutorial on Variational Autoencoders

Reference 3

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source=pdf_text observed=2026-08-05T14:36:15.433179Z digest=sha256:8f7fd3d02571126e7e0574e64451e6570eb47b29665087512fa010470d804b4d

Observation 00a2132b-2011-43a9-8fcb-236499454f9f · inbound

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis cites this paper.

From Data to Decision: A Multi-Stage Framework for Class Imbalance Mitigation in Optical Network Failure Analysis Tutorial on Variational Autoencoders

Reference 39

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source=pdf_text observed=2026-08-05T16:48:09.097268Z digest=sha256:03119e113b311dfd74b5bd913e45d6be25f30890c87c2a9a0eac8613c0390d14

Observation 7f18525b-93d4-4417-b9cc-efab6159077d · inbound

Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner cites this paper.

Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner Tutorial on Variational Autoencoders

Reference 84

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source=pdf_text observed=2026-08-05T11:03:51.194829Z digest=sha256:f820868b51b57bcc016b8c45c34ea5c71d8b13878312e6c8aa1c41dbb0458c74

Observation 05a12d00-badd-474f-afc4-9e5dd8ebbdbe · inbound

DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval cites this paper.

DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval Tutorial on Variational Autoencoders

Reference 6

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source=pdf_text observed=2026-08-05T10:21:49.622408Z digest=sha256:cd0e617e5cca44efeda6cc7ebe669666a25e4f6c6e7ecc93cdb75082924cb7b1

Observation 529fe8f0-4ad6-4c6d-beb6-43ac10b348c4 · inbound

Plug-and-Play Latent Diffusion for Electromagnetic Inverse Scattering with Application to Brain Imaging cites this paper.

Plug-and-Play Latent Diffusion for Electromagnetic Inverse Scattering with Application to Brain Imaging Tutorial on Variational Autoencoders

Reference 80

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Observation a2ed86ae-81b6-4c6c-902c-581fdbcd185d · inbound

Deep Learning Option Pricing with Market Implied Volatility Surfaces cites this paper.

Deep Learning Option Pricing with Market Implied Volatility Surfaces Tutorial on Variational Autoencoders

Reference 26

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source=arxiv_source observed=2026-08-15T16:24:18.884025Z digest=sha256:39139c174a8af6d14912ab40bd774d1ef7b148393e1e944cc2b6b8bf9838a772

Observation 49297289-ef8b-4bb5-8631-a2de49b8b122 · inbound

One-shot Conditional Sampling: MMD meets Nearest Neighbors cites this paper.

One-shot Conditional Sampling: MMD meets Nearest Neighbors Tutorial on Variational Autoencoders

Reference 21

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source=arxiv_source observed=2026-08-15T15:48:36.418095Z digest=sha256:4ecf6b864b3a54682ca2318d098e8da378928da59638cbc87172912449691052

Observation 4512ed99-2d71-4f7d-9921-df994962c63f · inbound

Auto-encoder model for faster generation of effective one-body gravitational waveform approximations cites this paper.

Auto-encoder model for faster generation of effective one-body gravitational waveform approximations Tutorial on Variational Autoencoders

Reference 72

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Observation 45c43300-d7bb-4862-97d8-779120ac8e1c · inbound

Causal Transfer in Medical Image Analysis cites this paper.

Causal Transfer in Medical Image Analysis Tutorial on Variational Autoencoders

Reference 112

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source=pdf_text observed=2026-07-13T18:52:41.486444Z digest=sha256:1fce167f18c5592f9cd3f8209185b57e5982332bf73ad4076540170c9076737e

Observation ee0cc276-6c59-41f3-9767-316b9bd154d7 · inbound

Stability Enhanced Gaussian Process Variational Autoencoders cites this paper.

Stability Enhanced Gaussian Process Variational Autoencoders Tutorial on Variational Autoencoders

Reference 1

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arxiv_id, observed 2026-05-11T06:56:03.535859Z

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Observation 732253d8-f113-4092-b053-277487571a0c · inbound

Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions cites this paper.

Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions Tutorial on Variational Autoencoders

Reference 23

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Observation dd743724-1112-4d64-848b-128ceceef531 · inbound

TacticGen: Grounding Adaptable and Scalable Generation of Football Tactics cites this paper.

TacticGen: Grounding Adaptable and Scalable Generation of Football Tactics Tutorial on Variational Autoencoders

Reference 29

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Observation 0fa14c2a-c169-4722-9d14-5b3d23ca14f8 · inbound

A dimensional R2 regression metric cites this paper.

A dimensional R2 regression metric Tutorial on Variational Autoencoders

Reference 21

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Observation e8a7f4d0-40f0-4d31-b100-a1427be014b1 · inbound

Representation learning from OCT images cites this paper.

Representation learning from OCT images Tutorial on Variational Autoencoders

Reference 99

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Observation 9e4c0003-f2ca-4363-b0ab-df3d4137dc1c · inbound

A renormalization-group inspired lattice-based framework for piecewise generalized linear models cites this paper.

A renormalization-group inspired lattice-based framework for piecewise generalized linear models Tutorial on Variational Autoencoders

Reference 164

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-08T15:49:33.695290Z digest=sha256:789987c7d0baca3ae9efd6ecf754bf2c72afacdc7c168f3a76a9cd71f21eb0af

Observation 1ca7aa6e-9965-43ed-ada9-66b89e37735c · inbound

A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models cites this paper.

A Survey of Advancing Audio Super-Resolution and Bandwidth Extension from Discriminative to Generative Models Tutorial on Variational Autoencoders

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:27:53.709586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T20:26:59.049472Z digest=sha256:36bd1684779fcabc927b85d54014e1f4d9736d0544af2d34a06db32d6e8f5b04

Observation 27edb44d-d0ed-4d71-98fc-b60c0c65ef44 · inbound

Study of jet-induced hydro response in high-energy heavy-ion collisions with a flow-matching generative model cites this paper.

Study of jet-induced hydro response in high-energy heavy-ion collisions with a flow-matching generative model Tutorial on Variational Autoencoders

Reference 75

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T22:27:49.388339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T22:24:51.990184Z digest=sha256:0c43699e53cd6ab1ec0ae7751e0b175b12ce1c62cc1c14ce312bb091ad2725d4

Observation a8388944-273d-453b-8216-50524319711b · inbound

On Improving Multimodal Pedestrian Trajectory Prediction with CVAE: A Study on Benchmark and Robot Data cites this paper.

On Improving Multimodal Pedestrian Trajectory Prediction with CVAE: A Study on Benchmark and Robot Data Tutorial on Variational Autoencoders

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:48:11.325295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T09:47:19.793764Z digest=sha256:6db58360d925e8a040bc79275f284870b4f56d724f3f15a62b8bdd811cd5c6b8

Observation 06915daa-d33b-4cff-97f4-90f67dcebf0b · inbound

Markov Chain Decoders Overcome the Heavy-Tail Limitations of Lipschitz Generative Models cites this paper.

Markov Chain Decoders Overcome the Heavy-Tail Limitations of Lipschitz Generative Models Tutorial on Variational Autoencoders

Reference 71

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T08:38:10.475807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-20T08:33:38.253156Z digest=sha256:1872f61ac7e391f5615c5c631471b0007df4246d8ec79d1d741e6d89921e80d5

Observation 3adf99a2-1f45-407f-8f7d-01a34bad42d4 · inbound

Markov Chain Decoders Overcome the Heavy-Tail Limitations of Lipschitz Generative Models cites this paper.

Markov Chain Decoders Overcome the Heavy-Tail Limitations of Lipschitz Generative Models Tutorial on Variational Autoencoders

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:55:48.232669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T18:38:22.576078Z digest=sha256:553d95b8fb2904bfc83e97de3cb4caca265d17069e22eb1439443618f68978c4

Observation 63b9234b-fd15-4fbb-b8a4-542fd025ef29 · inbound

A Semi-Supervised Variational Autoencoder for Generating Neutron Star Equations of State cites this paper.

A Semi-Supervised Variational Autoencoder for Generating Neutron Star Equations of State Tutorial on Variational Autoencoders

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:05:49.162037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-01T15:56:28.262049Z digest=sha256:2921a51e0a3ef96f9e31408827e74850c816bf058b63a3d39c8b8cfa0ea1032c

Observation b5ee15ec-6e18-4dae-83a9-528b53f0f4dc · inbound

CoFi-UCGen: Coarse-to-Fine Unsupervised Conditional Generation without Label Priors cites this paper.

CoFi-UCGen: Coarse-to-Fine Unsupervised Conditional Generation without Label Priors Tutorial on Variational Autoencoders

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:06:56.316976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T02:24:20.065546Z digest=sha256:666b2472a817a4504d541fdc0f3a0889e54c99bd6b918bed590887e6e3369533

Observation 413f8e06-4ee9-42cc-a4b9-bd804d68c320 · inbound

Cross-scale spatially-aware generative modeling of transcriptomic programs underlying neurodegenerative brain organization cites this paper.

Cross-scale spatially-aware generative modeling of transcriptomic programs underlying neurodegenerative brain organization Tutorial on Variational Autoencoders

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:07:08.718447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T23:01:42.608249Z digest=sha256:8dd8ff752b017c4ca93f91386867bdc84a749c34a5798d9d26e295ad998379d6

Observation c87e66d5-d009-4e6c-816c-1c739f4eed72 · inbound

Enhancing Malware Detection with Generative AI: Using Variational Autoencoders to Boost Machine Learning Classifiers' Performance cites this paper.

Enhancing Malware Detection with Generative AI: Using Variational Autoencoders to Boost Machine Learning Classifiers' Performance Tutorial on Variational Autoencoders

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:45:00.864877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T19:39:41.622990Z digest=sha256:9b6997ba6ecf18a39116f6bdc5551392b487480002ec90b83a2c7745789ce424

Observation d6aa43d1-ac5d-4af6-a161-19aee0584f91 · inbound

Panel Flow Matching: A Generative Approach to Learning Distributions of Longitudinal Data cites this paper.

Panel Flow Matching: A Generative Approach to Learning Distributions of Longitudinal Data Tutorial on Variational Autoencoders

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T08:24:26.503313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-30T08:20:03.575151Z digest=sha256:418810bb98e9d4cb7bb978860896f5708c4fa2a43220b190c2662916bdd27bcf

Observation e0c8b601-7670-4290-aac0-3149619518f7 · inbound

Uncertainty-aware damage identification in short-span bridges via physics-informed variational autoencoder cites this paper.

Uncertainty-aware damage identification in short-span bridges via physics-informed variational autoencoder Tutorial on Variational Autoencoders

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-11T09:54:49.262236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:54:49.262236Z digest=sha256:431b79857e72b316928e00dfad5703988cbc170aadddf808ffdb412537debeba

Observation e9ff6602-1427-4ad8-860e-4cd23643f229 · inbound

Variational meta-learning inference for low dimensional neural system identification cites this paper.

Variational meta-learning inference for low dimensional neural system identification Tutorial on Variational Autoencoders

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T13:53:48.580179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:53:48.580179Z digest=sha256:9b8a7f28c0c94c38904f228598dac237709a892c89a6032bdfd0b864c6962c12

Observation ba9e194c-1be1-4598-a82b-0ca1154118f5 · inbound

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms cites this paper.

Learning-Based Motion Planning for Dynamic Environments: From Foundational Algorithms to Emerging Paradigms Tutorial on Variational Autoencoders

Reference 169

Resolution
unresolved
no resolver link, observed 2026-08-04T03:03:09.751413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:03:09.751413Z digest=sha256:345839c14490377c8ab6ec25ec95d8fe1de4e0f10211d6aa80bd18885febde67