Paper Citation Record · LEDGER

TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2111.08095.

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

pith.paper-citation-record.v1
2111.08095 v3

Coverage vector

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Source: paper_references, paper_reference_links

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:41:22.552083Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T04:14:29.622497Z

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation a79b3b83-63d2-410a-af63-632bdab3bb96 · inbound

Population Aware Diffusion for Time Series Generation cites this paper.

Population Aware Diffusion for Time Series Generation TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 13

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Observation 9a000312-73e5-4bc3-a502-d00209bbd9f2 · inbound

Synthetic Data for Portfolios: A Throw of the Dice Will Never Abolish Chance cites this paper.

Synthetic Data for Portfolios: A Throw of the Dice Will Never Abolish Chance TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 37

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Observation ed7e3bc6-ef7a-4604-be78-930b512ffc2a · inbound

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts cites this paper.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 6

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Observation 66167e09-28c9-455e-9b2c-e4575a27b6cc · inbound

TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data cites this paper.

TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 10

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Observation 8facbb28-900a-43b6-b3fd-7e7355a6e5ca · inbound

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting cites this paper.

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 8

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Observation 1b58b9aa-faa5-424c-92cb-758e40bdf837 · inbound

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation cites this paper.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 1977

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.552083Z

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Observation eabb79eb-dbd2-4a65-82fc-93dc9827d9a4 · inbound

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models cites this paper.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.784248Z

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Observation c6536e5d-4f4e-4050-95e2-714aaca04ced · inbound

MSDformer: Multi-scale Discrete Transformer For Time Series Generation cites this paper.

MSDformer: Multi-scale Discrete Transformer For Time Series Generation TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:44:52.843859Z

Source-reported events for the cited work

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Observation be73cc94-d512-4299-a141-d82a8d574c9d · inbound

Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach cites this paper.

Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 16

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Observation c6b4d471-bdb2-4d6f-9b1a-9827c7490943 · inbound

AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage cites this paper.

AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:17:23.995778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f028a253-2a36-4953-adeb-9198ff8adef4 · inbound

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting cites this paper.

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:34.458855Z

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Observation 0811971d-5dd3-4a7f-92c1-970299333e3f · inbound

Towards Time Series Generation Conditioned on Unstructured Natural Language cites this paper.

Towards Time Series Generation Conditioned on Unstructured Natural Language TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:17.853210Z

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Observation 9e57e7ea-4544-46f5-818b-297098bf11bd · inbound

CTBench: Cryptocurrency Time Series Generation Benchmark cites this paper.

CTBench: Cryptocurrency Time Series Generation Benchmark TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T05:26:03.496987Z

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Observation 586ac658-b207-4593-bb49-ca1918ed288b · inbound

Case Studies of Generative Machine Learning Models for Dynamical Systems cites this paper.

Case Studies of Generative Machine Learning Models for Dynamical Systems TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T00:01:46.871407Z

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Observation af4d32a8-01ae-43ba-bcdd-6c697605ac9b · inbound

Physics-Informed Diffusion Models for Unsupervised Anomaly Detection in Multivariate Time Series cites this paper.

Physics-Informed Diffusion Models for Unsupervised Anomaly Detection in Multivariate Time Series TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 8

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Observation c7ccd4e1-bb5c-4ba2-b58f-485544bb657d · inbound

HierCVAE: Hierarchical Attention-Driven Conditional Variational Autoencoders for Multi-Scale Temporal Modeling cites this paper.

HierCVAE: Hierarchical Attention-Driven Conditional Variational Autoencoders for Multi-Scale Temporal Modeling TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T16:08:27.794898Z

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Observation 08656db0-53bc-4d2f-8ce5-8906c31a0d48 · inbound

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models cites this paper.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 4

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Observation 655c2ca4-70ab-4384-8bca-cc5b78369158 · inbound

DLGAN : Time Series Synthesis Based on Dual-Layer Generative Adversarial Networks cites this paper.

DLGAN : Time Series Synthesis Based on Dual-Layer Generative Adversarial Networks TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 7

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Observation 962c8b89-69e1-4ee0-9373-55319c5f5ffa · inbound

Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations cites this paper.

Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 27

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Observation 6b9b7180-8f4c-4c34-b7c3-558000091086 · inbound

Cyclic Adaptive Private Synthesis for Sharing Real-World Data in Education cites this paper.

Cyclic Adaptive Private Synthesis for Sharing Real-World Data in Education TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:17:26.582107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b0e12409-41e1-4896-91d0-6c152d268dbb · inbound

Parallel Complex Diffusion for Scalable Time Series Generation cites this paper.

Parallel Complex Diffusion for Scalable Time Series Generation TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T02:51:54.975159Z

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Unavailable: canonical work link unavailable.

Observation 35146c20-be75-4972-87dd-01674f628cc5 · inbound

GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables cites this paper.

GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:20:03.325871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ef5f6008-095b-4d37-98f2-3d427528903e · inbound

Beyond Static Uncertainty: Modeling Temporal Uncertainty Dynamics for Probabilistic Time Series Forecasting cites this paper.

Beyond Static Uncertainty: Modeling Temporal Uncertainty Dynamics for Probabilistic Time Series Forecasting TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-13T18:58:29.328982Z

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Observation 779dea1f-bdd3-4e65-8015-c1f43b625519 · inbound

SDFlow: Similarity-Driven Flow Matching for Time Series Generation cites this paper.

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:31:10.862857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9605e621-d7e6-4be2-9b24-9fa5c7a52e0b · inbound

SDFlow: Similarity-Driven Flow Matching for Time Series Generation cites this paper.

Reference 9

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3caff00b-cef3-414b-a753-0ab86d7b03ac · inbound

GenTS: A Comprehensive Benchmark Library for Generative Time Series Models cites this paper.

GenTS: A Comprehensive Benchmark Library for Generative Time Series Models TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:18:18.409253Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 31e0cce5-ba48-4e7f-b77a-e71297649ae7 · inbound

Universal Time Series Generation with Neural Controlled Differential Equations cites this paper.

Universal Time Series Generation with Neural Controlled Differential Equations TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:13:30.032847Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 22ddc881-7842-4f3c-8875-3a21b8fe5548 · inbound

PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation cites this paper.

PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:35:12.772773Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d3a0bad6-73a7-4ebb-8f9d-36123fa9ad7e · inbound

MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition cites this paper.

MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:32:37.697585Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb8d45aa-55d9-43fc-be2e-dae85d1a1fb9 · inbound

E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation cites this paper.

E4GEN: Event-level Explainable Extreme-Enhanced Time-series Generation TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:06:16.949951Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 061173a9-557e-4e0f-a729-5d3a9864af2a · inbound

Diffusion Models for Adaptive Sequential Data Generation cites this paper.

Diffusion Models for Adaptive Sequential Data Generation TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:46:56.016903Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 385acd58-d35e-43e3-9a36-dd75e81f1b24 · inbound

TriHead-GAN: A Generative Adversarial Network with Triple-Head Discriminator for Carbon Emission Time Series Generation cites this paper.

TriHead-GAN: A Generative Adversarial Network with Triple-Head Discriminator for Carbon Emission Time Series Generation TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:53:55.901044Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c786d9f2-1ad0-4a43-ad0b-473d24bc647d · inbound

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow cites this paper.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:42:50.000137Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8cb3f9ce-85e8-417d-857a-6e0238f9b8b6 · inbound

Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models cites this paper.

Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:02:27.047382Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e731917a-6761-4fcf-9f9f-2e652bbc6cc7 · inbound

Stochastic weather generators for high-frequency wind vector time series cites this paper.

Stochastic weather generators for high-frequency wind vector time series TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:35.994423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 574fbfa8-0341-4ddf-aed8-bfb43b06cf23 · inbound

UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation cites this paper.

UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:37:36.598167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7190d201-fb87-478e-9edc-48f1d679f7ba · inbound

RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models cites this paper.

RMISC: A Large-scale Real-world Multivariate Corpus for Time Series Foundation Models TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-08T04:14:29.623966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5356cc8d-1366-41b1-8c4b-dc8dbad3bbd9 · inbound

MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion cites this paper.

MIDiff: Tackling Sparsity and Imbalance in Mobile Usage Generation via Multivariate-Imaging Diffusion TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 2021

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Observation 5f5fe82d-3bc9-4b6d-81b2-095cfebb0744 · inbound

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations cites this paper.

A GAN-Based Framework for Robust Data Synthesis in Satellite Internet Observations TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:18.012588Z

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Observation ee4f95ea-9b21-4785-bf0a-de9b86412323 · inbound

Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions cites this paper.

Breaking the Curse with BAND: Nonparametric Distribution Estimation in High Dimensions TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 87

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Observation e270d70e-51c4-41c8-b404-2d08ca0c7691 · inbound

Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework cites this paper.

Enhancing Irregular Time Series Forecasting with Continuous-Time Modeling Framework TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 64

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Observation 8519c106-f9a1-45c1-9cb1-0644a01bcf84 · inbound

SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation cites this paper.

SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 10

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