Paper Citation Record · LEDGER

TriTS: Time Series Forecasting from a Multimodal Perspective

As of 16 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2604.16748.

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

pith.paper-citation-record.v1
2604.16748 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T08:00:54.086430Z

measured 31 of 31 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

31 of 31 outbound references displayed

verified exact1
verified fuzzy30
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c3ec62a-b450-42b5-83a6-eea658daa161 · outbound

This paper cites Research on the stock price prediction model based on large-scale transactions.

TriTS: Time Series Forecasting from a Multimodal Perspective Research on the stock price prediction model based on large-scale transactions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.904306Z

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.

Observation c5f7c360-e26f-4458-9035-8d0508798799 · outbound

This paper cites VisionTS: Visual masked autoencoders are free-lunch zero-shot time series forecasters.

TriTS: Time Series Forecasting from a Multimodal Perspective VisionTS: Visual masked autoencoders are free-lunch zero-shot time series forecasters

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.867750Z

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.

Observation 2bfe907b-b24a-48ff-bd16-10e5bbb922c7 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

TriTS: Time Series Forecasting from a Multimodal Perspective An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.850089Z

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.

Observation c98747e6-e95e-47f1-962c-79e13a53b5b9 · outbound

This paper cites Forecastable component analysis.

TriTS: Time Series Forecasting from a Multimodal Perspective Forecastable component analysis

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.888774Z

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.

Observation c54d304b-ba19-4866-bd0c-33faa898b686 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

TriTS: Time Series Forecasting from a Multimodal Perspective Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:02:24.954577Z

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.

Observation 81c84cea-f23b-47b3-a348-a273178f1911 · outbound

This paper cites Deep residual learning for image recognition.

TriTS: Time Series Forecasting from a Multimodal Perspective Deep residual learning for image recognition

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.862285Z

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.

Observation 4695c534-5078-4f3e-b451-ea9ae97eecab · outbound

This paper cites Masked autoencoders are scalable vision learners.

TriTS: Time Series Forecasting from a Multimodal Perspective Masked autoencoders are scalable vision learners

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.859524Z

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.

Observation a2a7e3df-9664-4197-9f04-15faf306b274 · outbound

This paper cites Long short- term memory.

TriTS: Time Series Forecasting from a Multimodal Perspective Long short- term memory

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.864925Z

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.

Observation c2c0d11c-b8df-4aa1-8950-75fbfb04337b · outbound

This paper cites Fdnet: High-frequency disentanglement network with information-theoretic guidance for mul- tivariate time series forecasting.

TriTS: Time Series Forecasting from a Multimodal Perspective Fdnet: High-frequency disentanglement network with information-theoretic guidance for mul- tivariate time series forecasting

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.910532Z

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.

Observation 32b2a48f-cb69-4b5e-99e7-c3b4dc667ca2 · outbound

This paper cites A multiview spatial-temporal adaptive transformer-gru framework for traﬀic flow prediction.

TriTS: Time Series Forecasting from a Multimodal Perspective A multiview spatial-temporal adaptive transformer-gru framework for traﬀic flow prediction

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.853356Z

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.

Observation 6aeb5856-0b66-4368-9849-ef6f309cf324 · outbound

This paper cites Modeling long- and short-term tempo- ral patterns with deep neural networks.

TriTS: Time Series Forecasting from a Multimodal Perspective Modeling long- and short-term tempo- ral patterns with deep neural networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.874158Z

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.

Observation b8af4078-c805-4892-bcbf-38754e7069c4 · outbound

This paper cites itrans- former: Inverted transformers are effective for time series forecasting.

TriTS: Time Series Forecasting from a Multimodal Perspective itrans- former: Inverted transformers are effective for time series forecasting

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.885926Z

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.

Observation f7e08b9d-2052-4dae-933a-a54f1fa4ec8c · outbound

This paper cites Wpmixer: eﬀicient multi-resolution mixing for long-term time series forecasting.

TriTS: Time Series Forecasting from a Multimodal Perspective Wpmixer: eﬀicient multi-resolution mixing for long-term time series forecasting

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.938086Z

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.

Observation 58bac0e3-6330-4899-9a44-ad97d3e37f65 · outbound

This paper cites Logtrans: Provid- ing eﬀicient local-global fusion with transformer and cnn parallel network for biomedical image segmenta- tion.

TriTS: Time Series Forecasting from a Multimodal Perspective Logtrans: Provid- ing eﬀicient local-global fusion with transformer and cnn parallel network for biomedical image segmenta- tion

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.923663Z

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.

Observation 65ade840-553f-4791-95c3-7dca2ce32ac6 · outbound

This paper cites Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam.

TriTS: Time Series Forecasting from a Multimodal Perspective Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.916726Z

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.

Observation fe43b331-8d6a-42d7-a2e2-063e1fd62301 · outbound

This paper cites Real-time deep anomaly detection framework for multivariate time-series data in indus- trial iot.

TriTS: Time Series Forecasting from a Multimodal Perspective Real-time deep anomaly detection framework for multivariate time-series data in indus- trial iot

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.920150Z

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.

Observation 429c3eec-0e67-49de-9d44-9eb7687be51b · outbound

This paper cites You only look once: Unified, real-time object detection.

TriTS: Time Series Forecasting from a Multimodal Perspective You only look once: Unified, real-time object detection

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.935008Z

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.

Observation 278f1720-ae26-46ea-8dd0-2f77f1955e5f · outbound

This paper cites Rumelhart, Geoffrey E.

TriTS: Time Series Forecasting from a Multimodal Perspective Rumelhart, Geoffrey E

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.926341Z

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.

Observation f5f41644-9e84-4a00-9e1a-323741b48431 · outbound

This paper cites Vi- sionts++: Cross-modal time series foundation model with continual pre-trained vision backbones.

TriTS: Time Series Forecasting from a Multimodal Perspective Vi- sionts++: Cross-modal time series foundation model with continual pre-trained vision backbones

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.871023Z

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.

Observation dba1253f-e844-44e6-8e93-07ded7370a5e · outbound

This paper cites Stitsyuk and J.

TriTS: Time Series Forecasting from a Multimodal Perspective Stitsyuk and J

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.901411Z

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.

Observation 91890462-e464-4d5f-890a-9e297ff8f8ce · outbound

This paper cites Short-term multivariate load fore- casting for integrated energy systems based on bigru- am and multi-task learning.

TriTS: Time Series Forecasting from a Multimodal Perspective Short-term multivariate load fore- casting for integrated energy systems based on bigru- am and multi-task learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.907413Z

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.

Observation d9770e89-a3a4-4c50-b199-272b44c1cda3 · outbound

This paper cites Attention is all you need.

TriTS: Time Series Forecasting from a Multimodal Perspective Attention is all you need

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.932232Z

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.

Observation da5c5070-39c6-485f-998d-eaa1a0e91c44 · outbound

This paper cites Timemixer: Decomposable multiscale mixing for time series forecasting.

TriTS: Time Series Forecasting from a Multimodal Perspective Timemixer: Decomposable multiscale mixing for time series forecasting

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.898684Z

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.

Observation 69ee0dbf-e5aa-42dc-a967-976ae50f79ec · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting.

TriTS: Time Series Forecasting from a Multimodal Perspective Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.856413Z

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.

Observation a125691d-8db1-4fae-988f-5b8f43e6cc5b · outbound

This paper cites Timesnet: Temporal 2d-variation modeling for general time series analysis.

TriTS: Time Series Forecasting from a Multimodal Perspective Timesnet: Temporal 2d-variation modeling for general time series analysis

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.877655Z

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.

Observation 496faa32-b4c4-4d81-811c-b6cf0a46934a · outbound

This paper cites Interpretable weather forecasting for worldwide stations with a unified deep model.

TriTS: Time Series Forecasting from a Multimodal Perspective Interpretable weather forecasting for worldwide stations with a unified deep model

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.880379Z

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.

Observation a09d3d0d-dbc9-44ca-89ad-07472d8f351e · outbound

This paper cites Filternet: Harnessing fre- quency filters for time series forecasting.

TriTS: Time Series Forecasting from a Multimodal Perspective Filternet: Harnessing fre- quency filters for time series forecasting

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.913737Z

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.

Observation f087dcd6-0dae-4ee6-b8b0-70da4e81bc33 · outbound

This paper cites Are transformers effective for time series forecasting?.

TriTS: Time Series Forecasting from a Multimodal Perspective Are transformers effective for time series forecasting?

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.929631Z

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.

Observation 9013885c-76be-4377-9d7c-22b9f29bae71 · outbound

This paper cites In- former: Beyond eﬀicient transformer for long sequence time-series forecasting.

TriTS: Time Series Forecasting from a Multimodal Perspective In- former: Beyond eﬀicient transformer for long sequence time-series forecasting

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.892086Z

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.

Observation a6513cc1-0682-4435-ac1f-85b3dcf8d06b · outbound

This paper cites Fedformer: Frequency en- hanced decomposed transformer for long-term series forecasting.

TriTS: Time Series Forecasting from a Multimodal Perspective Fedformer: Frequency en- hanced decomposed transformer for long-term series forecasting

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.883095Z

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.

Observation cae3363b-7f37-4819-a67d-30b0c233238b · outbound

This paper cites Vision mamba: eﬀicient visual representation learning with bidirectional state space model.

TriTS: Time Series Forecasting from a Multimodal Perspective Vision mamba: eﬀicient visual representation learning with bidirectional state space model

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T11:55:04.895249Z

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.

Pith citing papers

No inbound Pith citation observations are available.