Pith. sign in

Paper Citation Record · LEDGER

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting

As of 15 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 2026-08-15T06:32:42.880941+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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:51:23.229701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:19.380713Z digest=sha256:5b9255b1402e5a77c516d48dcebde4ed590967dc1a0df151a34b83182ac3f7df

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:19.516012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:51:23.216555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:19.586828Z digest=sha256:aef1ea9426ce05df0d9142764b9c102e8ff8852aac67080d26d736f937d299e8

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:51:23.202424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:19.682943Z digest=sha256:435d22b895acfea2fc1cea9e3ce7df0be96633d4546191e19fda347918880c8f

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:51:23.187863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:19.751481Z digest=sha256:71cfed465d02a5243b72ab8de6826e22e5ba4dc2ff87a69c394da7aaf703f1da

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
unresolved
raw_fallback, observed 2026-08-06T17:51:23.173736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:19.831213Z digest=sha256:af9792d8c1555b67dba791da1d55d4c1f17a2c06e211d1b788615848b637d5b2

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

Resolution
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:19.926704Z digest=sha256:95a451b980dbfac416e6f8395439e946e2b077baae83c3201ddd563654325381

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

This paper cites Kaushik, A.

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

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:23.159334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:20.030236Z digest=sha256:331474f93812271296d75f252353cbd86ca3f6962b15212c260b60b3a7024ee2

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:20.142910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:20.142910Z digest=sha256:21b16444d8fb7488c5fd655d7611648dfbeed696da33df7ea5adbfa6b940b562

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:51:23.144879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:20.225824Z digest=sha256:65ad2786e4122144aa9efdce0386a2dddf20eab3f09053148efd0d2f1688eefe

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:20.272839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:20.323482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:20.323482Z digest=sha256:3e5fc77d20e33a137d787ad81a5ee2039571f0e923d385c3d60d6580c55fe22c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:20.384629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:20.384629Z digest=sha256:c4c3e8deda058597a45e029ea87b5bc7d5d581974841ed4f507cea1f0acb4e9d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:20.433144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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
unresolved
raw_fallback, observed 2026-08-06T17:51:23.129382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:20.494106Z digest=sha256:4860707390782bec3bb9ab365f24af0156472f5ed8c624c0f1c0ef77fe3cfef9

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:20.547452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:20.547452Z digest=sha256:67b5ef8b91f86a3b457d31e98588efa90de7ba54ed8d3eefa1828edb40a8a6ce

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:51:23.113470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:20.615011Z digest=sha256:b42a2c12ea7b578000ee4c199d152e47b252d0364ef56ac283c9c2551ff53ad0

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:20.728716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:20.728716Z digest=sha256:45829bf78dc3f23d3ba58e76e0dd036b79502b2f92d17d7ae2eb8d1d44fd6381

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:20.776756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution
verified exact
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:20.822890Z digest=sha256:ca1422b1ec48c6e8824970e506eb3591d36ffe74e6455b1fcfb9986cbb164596

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:20.868467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:20.868467Z digest=sha256:ca840251ba0ca158750471ac9aa0628ee595886d1f41d72f29bcef9eb921ff9d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:20.917030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:20.917030Z digest=sha256:be3ecc1d2d93045eb9f9a35f940d210b215ee72a235b1f00e3074e99a82df3aa

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:51:23.099510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:20.972534Z digest=sha256:f2f81c13e0b2d4e5194b93e233429040d3ba783aa071b7cd5900428e0e8274de

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

This paper cites Sheoran, S.

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

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:23.084825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:21.016686Z digest=sha256:d2f4366f80ca4eb2dceec86ed8817cd9e92b4459ca534d6b5b9be024f61f7a40

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:51:23.070292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:21.068784Z digest=sha256:11a93eed4ddaa3561467b2d07a9fd827a6738b1076c1c6f94963122e5d22d0a7

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:21.169455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:21.169455Z digest=sha256:0b2d564f51ba75a27c571016b58365ee92b0b25e799acbb05df229d28f107fa5

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:51:23.056342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:21.224050Z digest=sha256:0dcdd2674b59a0af6f13b99885c7a15fe2d2d933536c9bcba259a67e07f28bb2

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:21.272188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:21.272188Z digest=sha256:843079cb589c7dd40b4dcf361bfe4da3a31835b108a36144e33af5377304249b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:21.337828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:21.337828Z digest=sha256:0af7983a99b0c614574e40c8fa8345873fc64443df2d4e1bf7a816078e379da1

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:51:23.032973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:21.405303Z digest=sha256:8eee1765f946e5b158eff1bdfbb43298946b18af9384161ca79197e54ed519c8

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

Resolution
unresolved
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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T17:51:21.573570Z digest=sha256:cfca558d948ad3832566ce26018c97539bcea06a4c7bca6e469aa28fc37ae9ad

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:19.451071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:19.451071Z digest=sha256:8b487c418a4565ad0de9debd96c1e005fc850f41a723ca4915cb964e9ad46399

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:21.127492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:21.127492Z digest=sha256:18095fda7867e4a7de5d317f9b0067d6b123716537b79eff52123d3d7eec2c1a

Pith citing papers

No inbound Pith citation observations are available.