Paper Citation Record · LEDGER

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow

As of 20 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2606.07605.

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

pith.paper-citation-record.v1
2606.07605 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:26:27.951511Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

28 of 28 outbound references displayed

verified exact7
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4795be9e-c73d-4a97-8a51-e76d7aca0471 · outbound

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

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:42:49.997609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c258897b-c5dd-4504-8d67-d0a492c4e8da · outbound

This paper cites Implicit diffusion models for continuous super-resolution.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Implicit diffusion models for continuous super-resolution

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

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Unavailable: canonical work link unavailable.

Observation a9f6a4ad-3e72-4e24-8e37-4362e3431f1a · outbound

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

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow FlowTS: Time Series Generation via Rectified Flow

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:42:50.005389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 105224a6-1ec4-440e-b535-c58d62c3bcf7 · outbound

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

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:42:49.989389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 35cec728-50f2-49be-9ae2-aa4a773acc8c · outbound

This paper cites Sundial: A Family of Highly Capable Time Series Foundation Models.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Sundial: A Family of Highly Capable Time Series Foundation Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:42:49.991616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f490899b-f913-4027-95e0-16761f40d11a · outbound

This paper cites Srflow: Learning the super- resolution space with normalizing flow.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Srflow: Learning the super- resolution space with normalizing flow

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bbd6437-5683-419c-b351-436544f2ccf5 · outbound

This paper cites Conditional GAN for timeseries generation.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Conditional GAN for timeseries generation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:42:49.986780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72119c24-06b1-44cc-842d-e7e59ff63f42 · outbound

This paper cites Conditional flow match- ing for time series modelling.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Conditional flow match- ing for time series modelling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c25921a5-21e7-4f58-b3a3-2d2c07c5a20a · outbound

This paper cites TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:42:49.994934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9cd5cf32-ee97-4540-a907-fd07677ba8c1 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-06-28T23:42:50.002542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b846ed27-e732-43cb-b4db-6b8d791ef207 · outbound

This paper cites Imputation-based time- series anomaly detection with conditional weight-incremental diffusion models.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Imputation-based time- series anomaly detection with conditional weight-incremental diffusion models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 2026-08-19T06:32:44.657259+00:00.

Observation c7e4819e-70bd-4067-b899-cc7224bb447a · outbound

This paper cites The structure is organized as follows to facilitate navigation.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow The structure is organized as follows to facilitate navigation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79f3d9e8-7cd1-4d69-8011-19fc54b0c2be · outbound

This paper cites an unresolved cited work.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81349f9f-54ec-40fd-94ea-f10595781ff2 · outbound

This paper cites By utilizing conditional score-based diffusion models, CSDI explicitly models the conditional distribution of missing data given observed values and arbitrary missing patterns.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow By utilizing conditional score-based diffusion models, CSDI explicitly models the conditional distribution of missing data given observed values and arbitrary missing patterns

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6018313e-7d72-4f53-bb71-6dee750aac5b · outbound

This paper cites an unresolved cited work.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4318a8e2-7c82-444a-9d45-0b47fd45f7e1 · outbound

This paper cites The GFLOPs values reported in the table indicate the number of floating point operations in billions,i.e., 1 GFLOP =10 9 FLOPs.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow The GFLOPs values reported in the table indicate the number of floating point operations in billions,i.e., 1 GFLOP =10 9 FLOPs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4dfc6d6-5985-4aa4-a779-3a0084c7b780 · outbound

This paper cites Instead, the sinusoidal positional encoding in the vanilla Transformer model is utilized.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Instead, the sinusoidal positional encoding in the vanilla Transformer model is utilized

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a0c66d8-723f-4dfe-96c9-e8ff9ef2efe1 · outbound

This paper cites The final output is produced by a fully connected layer that maps the output of the last LSTM block to the same dimensionality as the input.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow The final output is produced by a fully connected layer that maps the output of the last LSTM block to the same dimensionality as the input

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7217afc2-080f-468a-a4d4-8a72c90919d4 · outbound

This paper cites Furthermore, we eliminate the separate predictor in ITF and consolidate its prediction functionality into the velocity predictor.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Furthermore, we eliminate the separate predictor in ITF and consolidate its prediction functionality into the velocity predictor

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 184d926a-db38-4a1a-b92b-8668d50f0438 · outbound

This paper cites Subsequently, we ran- domly sample 100 stocks from the S&P 500 index and 400 stocks from the Russell 2000 index.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Subsequently, we ran- domly sample 100 stocks from the S&P 500 index and 400 stocks from the Russell 2000 index

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

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Unavailable: canonical work link unavailable.

Observation f6b34a89-48bf-44d2-9522-290b614a1e9d · outbound

This paper cites His- torical data from June 15, 2020 to June 13, 2025 is collected, corresponding to trading days within this period.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow His- torical data from June 15, 2020 to June 13, 2025 is collected, corresponding to trading days within this period

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45c3041a-7780-4526-a3e6-d112a2f70f93 · outbound

This paper cites Web search trends.We utilize Google Trends to identify the top 1,000 most-searched keywords over the past six months.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Web search trends.We utilize Google Trends to identify the top 1,000 most-searched keywords over the past six months

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

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Unavailable: canonical work link unavailable.

Observation b18e37ad-c194-4dfa-93d7-4409e1aba0ed · outbound

This paper cites In contrast, rectified flow models formulate the data transformation as an ordinary differential equa- tion (ODE) governed by a learned vector field, as dx=v(x, t)dt.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow In contrast, rectified flow models formulate the data transformation as an ordinary differential equa- tion (ODE) governed by a learned vector field, as dx=v(x, t)dt

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a5d34d0-c599-4064-aa03-6f5f858ac94e · outbound

This paper cites 24 Published as a conference paper at ICLR 2026 interpolated low-resolution series.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow 24 Published as a conference paper at ICLR 2026 interpolated low-resolution series

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

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Observation 3272aa32-7342-407a-9802-5b2d3e8546b0 · outbound

This paper cites Table 10: Quantitative comparison for out-of-distribution TSSR.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow Table 10: Quantitative comparison for out-of-distribution TSSR

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T23:26:27.951511Z

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Observation 6202470f-6f9e-4f71-8bd6-08b3f16b367f · outbound

This paper cites FTS-Diff and IDM produce more detailed pattern than the aforementioned methods, but they fail to reconstruct the double-peak structure that lost by the downsampling.

SRT: Super-Resolution for Time Series via Disentangled Rectified Flow FTS-Diff and IDM produce more detailed pattern than the aforementioned methods, but they fail to reconstruct the double-peak structure that lost by the downsampling

Reference 28

Resolution: malformed identifier; no resolver link, observed 2026-06-28T23:26:27.951511Z

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Unavailable: canonical work link unavailable.

Pith citing papers

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