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Paper Citation Record · LEDGER

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.09888.

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

pith.paper-citation-record.v1
2507.09888 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:51:21.573570Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

33 of 33 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dac4167f-481d-4bb9-ac46-5870dbe921af · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0026e99f-a10a-4ad9-b262-6c6b0ce59139 · outbound

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

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 2

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source=pdf_text observed=2026-08-06T17:51:19.516012Z digest=sha256:c6f9667843a17887bceac2b016b7c7c2de52e61a93b50eb4f9b15762b7a35324

Observation e1577147-1ef3-47dc-800d-2d408a6ec00a · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 61e5886c-146a-4f99-84fa-17406b6903a9 · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 4

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f9472d83-ddcb-4794-a353-7a3d150d9dfd · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d1200762-dfe2-4a97-bcd8-4dccd7676439 · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 81272e70-947b-4750-a09f-0a5f9c290f3c · outbound

This paper cites Super-resolution on network telemetry time series.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Super-resolution on network telemetry time series

Reference 7

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verified exact
local_arxiv, observed 2026-08-06T17:51:22.392089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:51:19.926704Z digest=sha256:a77ae38c7e632b279dca7821451115675f776c8f5a3cf764989437025a764aad

Observation c260d649-a2ad-41fe-89bb-4935ea05fa13 · outbound

This paper cites Kaushik, A.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Kaushik, A

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:51:20.030236Z digest=sha256:51625853cd181c692bce6b6e331f62dd0558305a6af9ec78d8be959300d29829

Observation ae69c355-c5c3-4bb5-9ad6-693d4756593f · outbound

This paper cites Functional Flow Matching.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Functional Flow Matching

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T17:51:20.142910Z digest=sha256:897f0dd5d4cd26ead91df1d65c0d1e1724ee880bc36cb4c04ab37e2cc1b8e2c0

Observation cc48cddd-c368-4ada-b475-a1f9d796f02a · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a4623a5c-43b7-4498-a42e-dc370b754e62 · outbound

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

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting DiffWave: A Versatile Diffusion Model for Audio Synthesis

Reference 11

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source=pdf_text observed=2026-08-06T17:51:20.272839Z digest=sha256:c458369c13b121fa951adcea9ab006871c3efb4bead715ba83909e355c12dbd4

Observation 38d23791-3928-468e-b279-ba399e99fbe2 · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:20.323482Z digest=sha256:a7fc06dd5fe0d06df827849a69fa49390e9b64c1eab829c6dc841383449697e4

Observation b798e1e9-c783-47be-8d0b-7df15a531cbb · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Fourier Neural Operator for Parametric Partial Differential Equations

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:20.384629Z digest=sha256:d010708124832f7c5fd8ec747e1987274ff56570235dcbaff93cbe28e20eaca0

Observation 9af19fbd-228a-4535-bab0-160ce9d1b6b1 · outbound

This paper cites Flow Matching for Generative Modeling.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Flow Matching for Generative Modeling

Reference 14

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source=pdf_text observed=2026-08-06T17:51:20.433144Z digest=sha256:2613b89ee629ca7ccf3393d12af0239d25951b1f5fd795d5fa1c7d92fb935f94

Observation 91e596ac-130a-4bf6-b1f0-6f584c158e35 · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8939ce0b-8eab-4bb4-a301-9f40a0126be0 · outbound

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

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 16

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Observation ec587de4-6693-4a7f-9762-3f872b38f3a6 · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation de2cec03-6de1-4a04-8408-c679cb21e8dd · outbound

This paper cites iTransformer: Inverted Transformers Are Effective for Time Series Forecasting.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 19

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Observation 2e53e783-d8e4-42ed-9ac5-49e97c5d9ec8 · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-06T17:51:20.776756Z digest=sha256:1473942d57de905f9baf7d7b80f35ca0cdddeec51011a62769b56b38a4295178

Observation 4140133c-a54b-4c4f-8e36-b165a0928413 · outbound

This paper cites Absolute continuity of Brownian bridges under certain gauge transformations.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Absolute continuity of Brownian bridges under certain gauge transformations

Reference 21

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local_arxiv, observed 2026-08-06T17:51:21.969595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a4613f3f-f0d4-4df3-b756-2a8d0ec14ac9 · outbound

This paper cites A Time Series is Worth 64 Words: Long-term Forecasting with Transformers.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 22

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Source-reported events for the cited work

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Observation 3d8b131c-0f5d-45a3-be9d-99f2f91bfb12 · outbound

This paper cites Multisample Flow Matching: Straightening Flows with Minibatch Couplings.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Reference 23

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Unavailable: canonical work link unavailable.

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Observation b43310fc-3b19-4a9b-91f1-7e0a70af085f · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b0634a75-4e3e-4449-96fe-1d958b2fbace · outbound

This paper cites Sheoran, S.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Sheoran, S

Reference 25

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 993ccb5a-2d27-429f-a200-f5166b074d16 · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c36fc6cd-62f4-417f-8e8e-3086edd554c8 · outbound

This paper cites TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 27

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Observation 3059718f-ea94-4a4b-8992-3f9878d05ec7 · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 78fbdcb9-e346-4ba0-a1ae-a30dfeebfbc3 · outbound

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

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Reference 29

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Unavailable: canonical work link unavailable.

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Observation 111c0059-ca90-4a1f-9511-b35acedf7f8d · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 30

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Unavailable: canonical work link unavailable.

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Observation 0d50020a-ba0c-4be3-8f8a-25422986e09b · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c09f1e45-f243-49e8-9c15-809918680199 · outbound

This paper cites an unresolved cited work.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Unresolved cited work

Reference 32

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raw_fallback, observed 2026-08-06T17:51:22.684418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 58f30903-139b-4f27-a09a-f1d6b3621161 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Building Normalizing Flows with Stochastic Interpolants

Reference 2023

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f6baa8d1-a574-496d-a03e-377e4337b835 · outbound

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

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.