Paper Citation Record · LEDGER

Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2410.03024.

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

pith.paper-citation-record.v1
2410.03024 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:54:28.993728Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:38:43.382898Z

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b581805d-3a5b-45b4-8a2d-e95a23a02073 · inbound

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

Sundial: A Family of Highly Capable Time Series Foundation Models Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:33.943750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c9331ae5-4e85-4a44-84f0-b70dd9caf452 · 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 Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:54:28.993728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b442d279-b7f1-483f-8827-410eca73aef6 · inbound

Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery cites this paper.

Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:20:28.555398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c2ab8008-fa48-42ba-94ee-473b611c9d8d · inbound

CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting cites this paper.

CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T05:00:54.753055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d96ae6f-3c9d-4c28-90c3-de2a9fce580c · inbound

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

Is Flow Matching Just Trajectory Replay for Sequential Data? Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:22:27.385950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e396c8f7-ce7e-4816-a017-482bf01f9ca8 · inbound

Native Extrapolation Awareness in Flow-Based Conditional Generation cites this paper.

Native Extrapolation Awareness in Flow-Based Conditional Generation Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T23:42:35.498568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ea54fd5-b889-4861-b9a5-9d6da578525e · inbound

Increasing the Precision of Surrogate Models for Weak Lensing Mass Maps with Flow Matching cites this paper.

Increasing the Precision of Surrogate Models for Weak Lensing Mass Maps with Flow Matching Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:00:19.220649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dffd8d1b-3f70-4cdd-b6d4-1f9a6f813485 · 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 Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-25T05:10:21.991752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4c6e176e-60f6-44aa-88db-31c8b7b645b1 · inbound

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

PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:35:12.767506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 56c92850-24cd-4757-8aca-af2dab7ad99d · inbound

FinStressTS: A Parametric Synthetic Benchmark for Time-Series Forecasting in Finance cites this paper.

FinStressTS: A Parametric Synthetic Benchmark for Time-Series Forecasting in Finance Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:41.341516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 21cbb45f-fe58-40d1-9cfd-cdd19860ddab · inbound

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data cites this paper.

PAMF: Prior-Aware Multimodal Fusion for Incomplete Time Series Data Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.568680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9948b9d5-091e-4c3a-b6f7-a15fd7e5c389 · inbound

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis cites this paper.

Zeus: Towards Tuning-Free Foundation Model for Time Series Analysis Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting

Reference 160

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:38:43.384197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.