Paper Citation Record · LEDGER

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 7 inbound Pith citation observations for arXiv:2505.02417.

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

pith.paper-citation-record.v1
2505.02417 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:57:28.935266Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:09:55.718164Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:37:36.619113Z

Reference resolution

42 of 42 outbound references displayed

verified exact1
verified fuzzy14
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6e98ac32-31c9-478e-90e5-cd58785dde88 · outbound

This paper cites Diffusion-based conditional ecg gen- eration with structured state space models.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Diffusion-based conditional ecg gen- eration with structured state space models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:29.659972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6818900b-4183-4a7f-b86d-dde16c798531 · outbound

This paper cites Towards Time Series Reasoning with LLMs.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Towards Time Series Reasoning with LLMs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.769026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e75abe19-04a6-4382-a710-fa23fe7e816c · outbound

This paper cites Semeval-2017 task 5: Fine- grained sentiment analysis on financial microblogs and news.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Semeval-2017 task 5: Fine- grained sentiment analysis on financial microblogs and news

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:29.646016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a84c77d1-d3ff-48fa-9406-2254b7f13886 · outbound

This paper cites Scaling rectified flow transformers for high- resolution image synthesis.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Scaling rectified flow transformers for high- resolution image synthesis

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:29.618797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3259dc43-a2c9-4188-abca-32cbe8a6c923 · outbound

This paper cites Creating synthetic energy meter data using conditional diffusion and building metadata.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Creating synthetic energy meter data using conditional diffusion and building metadata

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:29.604855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 54cce58d-49b5-405c-89f4-974dfe26e1e4 · outbound

This paper cites Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.802001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19c71e63-3ee7-4435-aa98-11c0b565e9ce · outbound

This paper cites Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.806572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17081736-9d28-473c-94ae-2bac213adc04 · outbound

This paper cites Denoising diffusion probabilistic models.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Denoising diffusion probabilistic models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.810967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ccb5cdf-5708-4f75-971a-311f17653f35 · outbound

This paper cites Putting the human in the time series analytics loop.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Putting the human in the time series analytics loop

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:29.572201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac0edd86-327c-4220-a978-12cd5ff5d39c · outbound

This paper cites Truth-Conditional Captioning of Time Series Data.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Truth-Conditional Captioning of Time Series Data

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.827279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fe8f1f7-2f89-4ff1-8353-f27cb345cf93 · outbound

This paper cites Mimic-iv, a freely accessible electronic health record dataset.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Mimic-iv, a freely accessible electronic health record dataset

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:29.557521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3d39891d-c824-4a8c-932a-996eb59d5045 · outbound

This paper cites Sushi: A system for unified semantic human in- teraction.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Sushi: A system for unified semantic human in- teraction

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:29.544145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3a4d0ad0-5856-400a-8b45-0ba14b5341a7 · outbound

This paper cites DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models DiffuSETS: 12-lead ECG Generation Conditioned on Clinical Text Reports and Patient-Specific Information

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-16T00:57:29.289693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bd2340e5-46e9-42d9-8fb7-90641581136d · outbound

This paper cites V oice- box: Text-guided multilingual universal speech generation at scale.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models V oice- box: Text-guided multilingual universal speech generation at scale

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:29.530564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 33365bfb-bdda-4430-af04-6f9ef651480e · outbound

This paper cites Vector Quantized Time Series Generation with a Bidirectional Prior Model.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Vector Quantized Time Series Generation with a Bidirectional Prior Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.852839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc74503c-a33a-4b67-9b6a-5d35d45c5d7b · outbound

This paper cites Flow Matching for Generative Modeling.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Flow Matching for Generative Modeling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.857208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9c257a7-cb7c-4362-acf5-a2720ab6d720 · outbound

This paper cites Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.866469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffeb7ea0-639a-4146-8a7b-222af251e1d6 · outbound

This paper cites Time weaver: A conditional time se- ries generation model.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Time weaver: A conditional time se- ries generation model

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.870822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abcddcae-f6f7-4209-9380-7a4c03a5242f · outbound

This paper cites Gpt-4o mini,.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Gpt-4o mini,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:29.516751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f7cd0f7e-b61a-4dbd-b26d-48c345fb8c40 · outbound

This paper cites [Peebles and Xie, 2023] William Peebles and Saining Xie.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models [Peebles and Xie, 2023] William Peebles and Saining Xie

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:29.502984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a7f84deb-8f32-41e1-9bc6-22a90df05f3c · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Movie Gen: A Cast of Media Foundation Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.884373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e9ffb52-2a58-43bb-bac9-cac359117b87 · outbound

This paper cites AstroM$^3$: A self-supervised multimodal model for astronomy.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models AstroM$^3$: A self-supervised multimodal model for astronomy

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.888749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 574c9a4e-aae2-4a13-bccc-4f05c2ab5aae · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.893007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9bb04f4-f27b-44db-b4d5-fe1c6af4b0a9 · outbound

This paper cites Exploring progress in mul- tivariate time series forecasting: Comprehensive bench- marking and heterogeneity analysis.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Exploring progress in mul- tivariate time series forecasting: Comprehensive bench- marking and heterogeneity analysis

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:29.480596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b99a823b-51cd-4b6e-8185-ac46182f032f · outbound

This paper cites Medic: Mitigating eeg data scarcity via class-conditioned diffusion model.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Medic: Mitigating eeg data scarcity via class-conditioned diffusion model

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:29.466691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a51eaa34-01b3-43ca-b3dd-9fed0f22c0ca · outbound

This paper cites Multi-modality conditional diffu- sion model for time series forecasting of live sales volume.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Multi-modality conditional diffu- sion model for time series forecasting of live sales volume

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:29.452572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1a69effb-fdd5-47dc-b50b-d6ab5216106b · outbound

This paper cites Diffstg: Probabilistic spatio-temporal graph forecasting with denoising diffusion models.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Diffstg: Probabilistic spatio-temporal graph forecasting with denoising diffusion models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.909296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5275c27a-d442-4b00-9cfd-17ac92a42fcb · outbound

This paper cites Context is Key: A Benchmark for Forecasting with Essential Textual Information.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Context is Key: A Benchmark for Forecasting with Essential Textual Information

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.913681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f273ac5a-7b0c-42ba-bf5f-a9e24a1941aa · outbound

This paper cites Autoformer: Decomposition transform- ers with auto-correlation for long-term series forecast- ing.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Autoformer: Decomposition transform- ers with auto-correlation for long-term series forecast- ing

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.917966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db2a448b-68e3-4b4e-b397-7a57600a5d89 · outbound

This paper cites A survey on diffusion models for time series and spatio-temporal data.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models A survey on diffusion models for time series and spatio-temporal data

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.922050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c811979e-ca65-420d-97a3-22880d6c7485 · outbound

This paper cites Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.926133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cba162c7-0bc3-4d69-9f35-21904233da6a · outbound

This paper cites Diffusion-TS: Interpretable Diffusion for General Time Series Generation.

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 c37c9277-f4f1-4805-a42b-0cb125cffdf1 · outbound

This paper cites Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Unsupervised Statistical Feature-Guided Diffusion Model for Sensor-based Human Activity Recognition

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.935266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 979fc20f-ed77-47cc-adef-f8973236c0fc · outbound

This paper cites Mean reciprocal rank.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Mean reciprocal rank

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:29.632533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cff84350-ccf8-4fdd-a39a-d3827c21503e · outbound

This paper cites CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models CLaSP: Learning Concepts for Time-Series Signals from Natural Language Supervision

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.822969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3896dad3-cfb4-4b37-b694-704ce280dd07 · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Arbitrary style transfer in real-time with adaptive instance normalization

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.814936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f98cdd13-0216-445d-b6e3-37c4c0544e5e · outbound

This paper cites The Llama 3 Herd of Models.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models The Llama 3 Herd of Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.789072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad4c5e66-f943-430e-b33e-e8e8f56d8bc5 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.861669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2990d26-928e-4c77-88bd-3639cb4071bd · outbound

This paper cites TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.758485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06226aaf-2e49-498e-aed0-6690344cdcbc · outbound

This paper cites VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.763902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 830355e8-80d0-4898-a050-6eb056709991 · outbound

This paper cites DiffWave: A Versatile Diffusion Model for Audio Synthesis.

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:28.839943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 52fc1035-caa7-4fb6-95c7-c1f4c6fc9e79 · 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 T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T09:34:54.180089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2171e34c-c8cc-4154-b52b-52469c391d9b · inbound

Overcoming the Modality Gap in Context-Aided Forecasting cites this paper.

Overcoming the Modality Gap in Context-Aided Forecasting T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:30:00.189444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 966e7e88-577d-4762-838b-f58e7040973e · inbound

Overcoming the Modality Gap in Context-Aided Forecasting cites this paper.

Overcoming the Modality Gap in Context-Aided Forecasting T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T18:22:22.850498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c352256-316f-4d3b-8d66-c226172a4848 · inbound

Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework cites this paper.

Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:26:25.868732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eb695a18-fb8b-4e4e-b6c4-2118899b2da1 · inbound

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

PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:35:12.750504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5892a3e9-901d-406e-a0be-05fd7ab862f9 · 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 T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:37:36.620879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e4cdf594-ab22-4a57-aae4-19e8c56b2aec · 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 T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T00:09:55.718164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.