Paper Citation Record · LEDGER

Diffusion-TS: Interpretable Diffusion for General Time Series Generation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2403.01742.

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

pith.paper-citation-record.v1
2403.01742 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:41:22.844388Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T04:14:29.633419Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 91d45994-1f57-4a86-805f-c6edce685fd1 · inbound

Synthetic ECG Generation for Data Augmentation and Transfer Learning in Arrhythmia Classification cites this paper.

Synthetic ECG Generation for Data Augmentation and Transfer Learning in Arrhythmia Classification Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T11:15:25.293913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 079fef88-e636-43a4-b1dc-fb41f76bc7dd · inbound

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey cites this paper.

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 203

Resolution: unresolved; no resolver link, observed 2026-08-11T23:54:24.159895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c7313a8-169d-4a33-ac85-9aba7deca5d4 · inbound

Auto-Regressive Moving Diffusion Models for Time Series Forecasting cites this paper.

Auto-Regressive Moving Diffusion Models for Time Series Forecasting Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T17:13:12.322448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ee685bc-4a79-439a-b5ef-96a844f75575 · 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 Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T17:41:47.727154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62229482-4dc3-4165-8b43-9e5515b57d0c · 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 Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-16T10:41:22.844388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 259e0001-a745-4950-af8f-465aea964bc2 · inbound

Multimodal Conditioned Diffusive Time Series Forecasting cites this paper.

Multimodal Conditioned Diffusive Time Series Forecasting Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T05:51:10.597412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cba162c7-0bc3-4d69-9f35-21904233da6a · 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 Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.931000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7abb834-6aa2-4bb1-9642-2250f8323e0f · inbound

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration cites this paper.

A Time-Series Data Augmentation Model through Diffusion and Transformer Integration Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:47:46.619195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64c02ba9-6f71-46f2-8aca-a9f2489d1fe3 · inbound

Non-stationary Diffusion For Probabilistic Time Series Forecasting cites this paper.

Non-stationary Diffusion For Probabilistic Time Series Forecasting Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T16:51:47.958175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 368cdc85-196e-4f28-b03e-63e38bb077aa · inbound

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

MSDformer: Multi-scale Discrete Transformer For Time Series Generation Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T13:44:52.859779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 58a7aaf8-ac9f-4895-ab27-00a3eb13b8b6 · inbound

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model cites this paper.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:09.702564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3e2970b-d43a-4e7e-b356-bf6024b7a592 · 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 Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:32.201095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78fbdcb9-e346-4ba0-a1ae-a30dfeebfbc3 · inbound

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting cites this paper.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T17:51:21.272188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12af7f40-25ef-41c9-ba1c-156d2c572e52 · inbound

Diffusion Models for Time Series Forecasting: A Survey cites this paper.

Diffusion Models for Time Series Forecasting: A Survey Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T15:58:51.121400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 479e8e84-8551-4713-bfd8-aabe0ace7cc7 · inbound

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models cites this paper.

Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:26.791141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05097b44-025b-435e-a4ca-17333d7b271e · inbound

EMFusion: Uncertainty-Aware Conditional Diffusion Model for Multivariate Narrow-band Exposure Forecasting cites this paper.

EMFusion: Uncertainty-Aware Conditional Diffusion Model for Multivariate Narrow-band Exposure Forecasting Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T17:40:26.591660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 46b4855f-f802-48b1-af9d-3b7b368902a6 · inbound

EMFusion: Uncertainty-Aware Conditional Diffusion Model for Multivariate Narrow-band Exposure Forecasting cites this paper.

EMFusion: Uncertainty-Aware Conditional Diffusion Model for Multivariate Narrow-band Exposure Forecasting Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T15:59:15.965217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a7ad65a-1cf4-46b4-a244-f9841dd69926 · inbound

Is Flow Matching Just Trajectory Replay for Sequential Data? cites this paper.

Is Flow Matching Just Trajectory Replay for Sequential Data? Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 106

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:22:27.458102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 46b33dc0-da48-447a-b217-9c00a4f59747 · inbound

Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation cites this paper.

Extending Tabular Denoising Diffusion Probabilistic Models for Time-Series Data Generation Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:05:50.187828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 64d3bae9-8a31-4a40-95d4-5f11cd9ee0ef · inbound

Generative Augmentation of Imbalanced Flight Records for Flight Diversion Prediction: A Multi-objective Optimisation Framework cites this paper.

Generative Augmentation of Imbalanced Flight Records for Flight Diversion Prediction: A Multi-objective Optimisation Framework Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 140

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:49:48.752229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8d7a230b-7963-45e9-8a7d-6ef154e23d23 · inbound

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

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:31:10.897959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d40c622-3413-4074-afed-63cd2555c859 · inbound

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

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:28.433767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ed813d4e-b5dd-4020-bcc4-4f7071cbf883 · inbound

What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions cites this paper.

What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:13:30.302588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1ebb325e-8e47-4134-906a-16a4dd7d5800 · inbound

Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting cites this paper.

Parametric Prior Mapping Framework for Non-stationary Probabilistic Time Series Forecasting Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:10:21.997414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 85e0c200-8a61-43a4-9103-cbb87f373f88 · inbound

High-Quality Synthetic Financial Time-Series using a GAN-Diffusion Framework cites this paper.

High-Quality Synthetic Financial Time-Series using a GAN-Diffusion Framework Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:53:51.543202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6a006af-6174-4060-8ee7-f2780ab2da0f · inbound

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

PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:35:12.746617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2dd22b49-24c0-400b-b794-084fae4a3dfb · inbound

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

MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:32:37.730781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 650af62e-ac69-4b96-8b3f-c49d270ff343 · inbound

TGSD: Topology-Guided State-Space Diffusion Framework for EEG Spatial Super-Resolution cites this paper.

TGSD: Topology-Guided State-Space Diffusion Framework for EEG Spatial Super-Resolution Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:24:49.638749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bfbbead7-be41-451c-aec9-1b3db35b9820 · inbound

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

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:42:50.007865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d532cef-fee4-49cb-bc32-08105549f525 · inbound

Quantum Generative Diffusion Model for Real-World Time Series cites this paper.

Quantum Generative Diffusion Model for Real-World Time Series Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:45:59.430384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 18b47302-dfa0-42d6-a12e-97815aa4cace · 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 Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-08T04:14:29.634724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3de10085-213c-4933-8a40-f3bca98ea439 · 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 Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:18.089872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dd3041a-35f1-441b-a73d-d8c3a5a7a462 · inbound

TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement cites this paper.

TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 138

Resolution: unresolved; no resolver link, observed 2026-08-16T00:24:32.145236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94f312a9-7ff3-4f79-911f-89487791e4d9 · inbound

Represent, Then Generate: Multimodal-Conditioned Time-Series Generation under Irregular Missingness cites this paper.

Represent, Then Generate: Multimodal-Conditioned Time-Series Generation under Irregular Missingness Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T00:09:55.888912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.