Paper Citation Record · LEDGER

SDFlow: Similarity-Driven Flow Matching for Time Series Generation

As of 4 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2605.05736.

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

pith.paper-citation-record.v1
2605.05736 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T03:45:56.688677Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

31 of 31 outbound references displayed

verified exact13
verified fuzzy17
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d82b36c-be25-462c-b456-5b58f891269a · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-12T07:06:28.776382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5c535b7e-3481-4215-99b0-05d63597a3c9 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-12T07:06:28.731580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b13052d1-9120-4e79-9bc1-926365002a64 · outbound

This paper cites Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models.

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:28.786171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f392e36f-2c74-4482-801b-04f258856ba4 · outbound

This paper cites Scheduled sampling for sequence prediction with recurrent neural networks.Advances in neural information processing systems, 28.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Scheduled sampling for sequence prediction with recurrent neural networks.Advances in neural information processing systems, 28

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.092038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9ca6c3cf-eb60-4307-b325-bedd092068a3 · outbound

This paper cites Maskgit: Masked generative image transformer.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Maskgit: Masked generative image transformer

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.087800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 434c5e0c-3b8f-4234-9d0a-2c9c4a7f37f3 · outbound

This paper cites Flow Matching on General Geometries.

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:28.366065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a72a2778-d045-44f8-8e09-de51d846a304 · outbound

This paper cites Sdformer: Similarity- driven discrete transformer for time series generation.Advances in Neural Information Processing Systems, 37:132179–132207.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Sdformer: Similarity- driven discrete transformer for time series generation.Advances in Neural Information Processing Systems, 37:132179–132207

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.124043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6b72d442-9f62-4bd0-9f1f-84e90cf86bbd · outbound

This paper cites On the constrained time-series generation problem.Advances in Neural Information Processing Systems, 36:61048–61059.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation On the constrained time-series generation problem.Advances in Neural Information Processing Systems, 36:61048–61059

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.144330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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

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

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:28.348252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 89609c8c-1db8-440d-8b49-ffdd904bea4c · outbound

This paper cites Hierarchical multi-scale gaussian transformer for stock movement prediction.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Hierarchical multi-scale gaussian transformer for stock movement prediction

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.100067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4662cd25-0b9d-47a2-bbf7-f2ca3a6bd7df · outbound

This paper cites Variational flow matching for graph generation.Advances in Neural Information Processing Systems, 37:11735–11764.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Variational flow matching for graph generation.Advances in Neural Information Processing Systems, 37:11735–11764

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.083840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a13053c8-7ae0-4c36-880d-e42ecd985782 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Taming transformers for high-resolution image synthesis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.112012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 73d176b4-9494-4084-89b8-09df95999a7c · outbound

This paper cites Latent diffusion transformer for probabilistic time series forecasting.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Latent diffusion transformer for probabilistic time series forecasting

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.132196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d82fcc74-5d25-45e8-98b3-9d68d2eea40f · outbound

This paper cites FlowTS: Time Series Generation via Rectified Flow.

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:28.457034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 168ee7a4-ee36-42c0-874d-d1084395b421 · outbound

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

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:13:37.175262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b2cc6b5c-dd07-462a-8cab-b9f050a13acd · outbound

This paper cites Time-series forecasting with deep learning: a survey.Philosophical transactions of the royal society a: mathematical, physical and engineering sciences, 379(2194).

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Time-series forecasting with deep learning: a survey.Philosophical transactions of the royal society a: mathematical, physical and engineering sciences, 379(2194)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.140468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e4206aa0-46b1-43c6-8887-0a1a4ae16362 · outbound

This paper cites Flow Matching for Generative Modeling.

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-12T07:06:28.626485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e8fbc940-3532-4064-bb16-c676389af7d4 · outbound

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

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-12T07:06:28.720646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f02698b6-d1df-45a4-a8df-1a67d9516cae · outbound

This paper cites Purrception: Variational flow matching for vector-quantized image generation,.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Purrception: Variational flow matching for vector-quantized image generation,

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:28.395348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f5f06bf0-e999-4525-a9ee-be3bd7b525a1 · outbound

This paper cites Scalable diffusion models with transformers.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Scalable diffusion models with transformers

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.136475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 426ce9b7-1610-45ef-8c77-5c72ad94f092 · outbound

This paper cites Use of interrupted time series analysis in evaluating health care quality improvements.Academic pediatrics, 13(6):S38–S44.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Use of interrupted time series analysis in evaluating health care quality improvements.Academic pediatrics, 13(6):S38–S44

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.108255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4bf56078-2856-4b4b-b612-e9b054cc57ac · outbound

This paper cites Zero-shot text-to-image generation.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Zero-shot text-to-image generation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.095967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4563ecc7-7003-41aa-90b1-95615c29465b · outbound

This paper cites Generalization in Generation: A closer look at Exposure Bias.

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:28.691294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation efe44fe6-43a0-4f3d-9c3a-9d0df8b23ce6 · outbound

This paper cites Csdi: Conditional score-based diffusion models for probabilistic time series imputation.Advances in neural information processing systems, 34: 24804–24816.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Csdi: Conditional score-based diffusion models for probabilistic time series imputation.Advances in neural information processing systems, 34: 24804–24816

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.115978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 38aec866-2c92-4bf9-9c69-b0673fdbeebd · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T12:52:59.790203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 57117b35-9c88-46c3-ada4-1b1b700429f7 · outbound

This paper cites Neural discrete representation learning.Advances in neural information processing systems, 30.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Neural discrete representation learning.Advances in neural information processing systems, 30

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.104530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 683582e8-d3d4-4805-9e24-407d9fa7944b · outbound

This paper cites Cot-gan: Generating sequential data via causal optimal transport.Advances in neural information processing systems, 33:8798–8809.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Cot-gan: Generating sequential data via causal optimal transport.Advances in neural information processing systems, 33:8798–8809

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.128369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e10dce6a-37d1-4509-ae20-df4c115fc8a0 · outbound

This paper cites Timemar: Multi-scale autoregressive modeling for uncon- ditional time series generation.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Timemar: Multi-scale autoregressive modeling for uncon- ditional time series generation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.119824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 26c4d835-ef3b-40bc-988e-53f1ac2f51ad · outbound

This paper cites Time-series generative adversarial networks.

SDFlow: Similarity-Driven Flow Matching for Time Series Generation Time-series generative adversarial networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T18:16:45.148473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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

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

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 2026-08-04T06:34:03.388597+00:00.

Observation 3c7a16f2-e5b7-4bab-94dd-a963aa8ba8dd · outbound

This paper cites T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations.

Reference 31

Resolution: malformed identifier; arxiv_id, observed 2026-05-12T07:06:28.330590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.