Paper Citation Record · LEDGER

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2508.21330.

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

pith.paper-citation-record.v1
2508.21330 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:24:44.917173Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact1
verified fuzzy15
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb27ac27-e8fd-465a-a168-4ab17dcfd33d · outbound

This paper cites Generating Synthetic but Plausible Healthcare Record Datasets.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Generating Synthetic but Plausible Healthcare Record Datasets

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:24:45.060410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 15dcb6ba-b0d5-4d57-bb11-54321073cb5d · outbound

This paper cites Generative adversarial networks in time series: A systematic literature review.ACM Computing Surveys, Conference’17, July 2017, Washington, DC, USA Hou X., Liu S.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Generative adversarial networks in time series: A systematic literature review.ACM Computing Surveys, Conference’17, July 2017, Washington, DC, USA Hou X., Liu S

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.895436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 506815af-d5d3-4704-a461-64fb151d89a6 · outbound

This paper cites On the constrained time-series generation problem.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models On the constrained time-series generation problem

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.859852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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

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

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

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:43.899508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 429d3159-ac73-409d-a6f9-a602fcd6f792 · outbound

This paper cites Diffit: Diffusion vision transformers for image generation.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Diffit: Diffusion vision transformers for image generation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.803227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5221d973-f802-4132-9a40-2e1a05c3dfec · outbound

This paper cites Psa-gan: Progressive self attention gans for synthetic time series.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Psa-gan: Progressive self attention gans for synthetic time series

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.760675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2014525a-7a9f-41d8-9bb3-4429e627591f · outbound

This paper cites Gt-gan: General purpose time series synthesis with generative adversarial networks.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Gt-gan: General purpose time series synthesis with generative adversarial networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.723875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a4f4f6c2-3416-4e14-aee3-8051fde92143 · outbound

This paper cites Dif- fwave: A versatile diffusion model for audio synthesis.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Dif- fwave: A versatile diffusion model for audio synthesis

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.688571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 98bfaa80-cc14-4fd7-b1b5-cfe13074b90c · outbound

This paper cites Modeling long-and short-term temporal patterns with deep neural networks.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Modeling long-and short-term temporal patterns with deep neural networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:44.145480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36032e94-8da6-49d8-9a7f-e6555df5dbc5 · outbound

This paper cites Causal recurrent variational autoencoder for medical time series generation.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Causal recurrent variational autoencoder for medical time series generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:44.207029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd9938aa-a306-4e29-944f-b5f3e9212396 · outbound

This paper cites Generative time series forecasting with diffusion, denoise, and disentanglement.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Generative time series forecasting with diffusion, denoise, and disentanglement

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.597904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2d21c9b0-4107-4ba1-a449-740e4c340cd3 · outbound

This paper cites itransformer: Inverted transformers are effective for time series forecasting.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models itransformer: Inverted transformers are effective for time series forecasting

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:44.318724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f68c5a63-1aa9-45ff-8102-52f1b03540e7 · outbound

This paper cites C-RNN-GAN: Continuous recurrent neural networks with adversarial training.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models C-RNN-GAN: Continuous recurrent neural networks with adversarial training

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:44.326616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00dd64f5-302f-4d8f-9d09-3621d0b6ec34 · outbound

This paper cites A time series is worth 64 words: Long-term forecasting with transformers.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models A time series is worth 64 words: Long-term forecasting with transformers

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:44.356973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56c180e5-e3b8-4740-aa59-83d4a3617d89 · outbound

This paper cites Scalable diffusion models with transformers.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Scalable diffusion models with transformers

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.506922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b2c89d7-e2a4-49c5-aaa5-a682a8930568 · outbound

This paper cites Scale- former: Iterative multi-scale refining transformers for time series forecasting.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Scale- former: Iterative multi-scale refining transformers for time series forecasting

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.476140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 123fd03c-6212-442c-ac45-7fcd8b0a4268 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Deep unsupervised learning using nonequilibrium thermodynamics

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.442077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4003e882-b4ea-4d2f-85b7-ce593b994d4f · outbound

This paper cites Csdi: Conditional score-based diffusion models for probabilistic time series imputation.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Csdi: Conditional score-based diffusion models for probabilistic time series imputation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.396326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 22cdcfd6-3ace-493e-b343-28edf1bd73ac · outbound

This paper cites Visualizing data using t-sne.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Visualizing data using t-sne

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:44.650689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48d64a38-7cb2-4470-80d9-62c23a6a1c99 · outbound

This paper cites Aec-gan: adversarial error correction gans for auto-regressive long time-series generation.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Aec-gan: adversarial error correction gans for auto-regressive long time-series generation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.345078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fbeb970d-61c5-4df5-b8d6-b091469afcc6 · outbound

This paper cites Attention is all you need.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Attention is all you need

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:44.816565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5523d24-b662-462e-82dd-cdb3bdec796d · outbound

This paper cites Autoformer: Decom- position transformers with auto-correlation for long-term series forecasting.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Autoformer: Decom- position transformers with auto-correlation for long-term series forecasting

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:44.837557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d118d2b5-9730-4977-bf47-d6f1a30782a3 · outbound

This paper cites Time-series generative adversarial networks.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Time-series generative adversarial networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:44.844534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8f0f0db-9881-4b49-b0bf-9b2ff4c5cc0e · outbound

This paper cites Diffusion-ts: Interpretable diffusion for general time series generation.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Diffusion-ts: Interpretable diffusion for general time series generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:44.860416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75ac2265-cd70-4ffd-8ec4-62eabb031b1b · outbound

This paper cites Are transformers effective for time series forecasting? In Proceedings of the AAAI conference on artificial intelligence, volume 37, pages 11121–11128, 2023.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Are transformers effective for time series forecasting? In Proceedings of the AAAI conference on artificial intelligence, volume 37, pages 11121–11128, 2023

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:44.868390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91fac19a-e8df-43cc-b849-d851ea49738f · outbound

This paper cites A transformer-based framework for multivariate time series representation learning.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models A transformer-based framework for multivariate time series representation learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.190371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2a4cfd38-c867-427d-80e3-fe9ab2838b86 · outbound

This paper cites Privbayes: Private data release via bayesian networks.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Privbayes: Private data release via bayesian networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:44.882474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da942f7a-ba42-47aa-afb3-5c320accc9bd · outbound

This paper cites Crossformer: Transformer utilizing cross- dimension dependency for multivariate time series forecasting.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Crossformer: Transformer utilizing cross- dimension dependency for multivariate time series forecasting

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.146905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8798bdd2-c1f4-44ef-a2fc-1bb6503d89ba · outbound

This paper cites Sageformer: Series-aware framework for long-term multivariate time series forecasting.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Sageformer: Series-aware framework for long-term multivariate time series forecasting

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:24:45.112824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1fbe97c3-0a25-4b7d-9e76-62c3e9a2a8cd · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion Models Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T14:24:44.917173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.