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Paper Citation Record · LEDGER

Goal-Oriented Time-Series Forecasting: Foundation Framework Design

As of 23 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2504.17493.

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

pith.paper-citation-record.v1
2504.17493 v3

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:42:58.387727Z

measured 54 of 54 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T10:20:01.149126Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05fa536a-939d-4d6c-acf6-d44b32fd1a86 · outbound

This paper cites https://huggingface.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design https://huggingface

Reference 1

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Observation ec0afb06-5fa1-4540-a991-5f2b6f8d0456 · outbound

This paper cites Evolved universal terrestrial radio access (e-utra); potential solutions for energy saving for e-utran (study on energy saving enhancement for e- utran).

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Evolved universal terrestrial radio access (e-utra); potential solutions for energy saving for e-utran (study on energy saving enhancement for e- utran)

Reference 2

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Observation 2fcfd9e3-80d9-45c8-8c4e-8969a5aa734d · outbound

This paper cites Chronos: Learning the language of time series.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Chronos: Learning the language of time series

Reference 3

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Observation 63989e1e-1867-49b7-aae5-55dc2817248d · outbound

This paper cites Using a financial training crite- rion rather than a prediction criterion.International journal of neural systems, 8(04):433–443, 1997.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Using a financial training crite- rion rather than a prediction criterion.International journal of neural systems, 8(04):433–443, 1997

Reference 4

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Observation c1c631c3-b1f9-4555-9a37-5ef0a799f229 · outbound

This paper cites Predict+Optimize Problem in Renewable Energy Scheduling.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Predict+Optimize Problem in Renewable Energy Scheduling

Reference 5

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Observation fb7593d5-edd5-430f-890d-f29b60f69f17 · outbound

This paper cites From pre- dictive to prescriptive analytics.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design From pre- dictive to prescriptive analytics

Reference 6

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Observation 77703032-b39d-4ee8-8b83-ad9f4b161e2d · outbound

This paper cites Exponential smoothing for pre- dicting demand.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Exponential smoothing for pre- dicting demand

Reference 7

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Observation ce571138-2343-435f-b092-ce543c007acc · outbound

This paper cites Pems traffic data.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Pems traffic data

Reference 8

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Observation 5653c136-2c8f-4587-b551-2221ecd3e2d2 · outbound

This paper cites Load-based on/off schedul- ing for energy-efficient delay-tolerant 5g networks.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Load-based on/off schedul- ing for energy-efficient delay-tolerant 5g networks

Reference 9

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Observation 27e10a19-96ba-4332-9862-9276b263450d · outbound

This paper cites Freeway perfor- mance measurement system: mining loop detector data.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Freeway perfor- mance measurement system: mining loop detector data

Reference 10

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Source-reported events for the cited work

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Observation 64c180ef-7c04-44cf-8918-a5b76e1a6f51 · outbound

This paper cites Fitting imbalanced uncertainties in multi-output time series forecasting.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Fitting imbalanced uncertainties in multi-output time series forecasting

Reference 11

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Source-reported events for the cited work

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Observation 5cb4a5a1-16ed-40df-9e2c-204d3b3ac482 · outbound

This paper cites Toto: Time Series Optimized Transformer for Observability.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Toto: Time Series Optimized Transformer for Observability

Reference 12

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Observation b085e97a-0cd2-4e5d-8a8a-9e6958402e02 · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design A decoder-only foundation model for time-series forecasting

Reference 13

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Observation 00097800-ec0a-4aaa-a23f-66c6e153a54d · outbound

This paper cites predict, then optimize.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design predict, then optimize

Reference 14

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Observation bb7529f1-da63-4169-940f-13e3333efb62 · outbound

This paper cites A multivariate time- series modeling approach to severity of illness as- sessment and forecasting in icu with sparse, hetero- geneous clinical data.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design A multivariate time- series modeling approach to severity of illness as- sessment and forecasting in icu with sparse, hetero- geneous clinical data

Reference 15

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Source-reported events for the cited work

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Observation 8d9f54c9-4b75-429c-a2cb-f9cb5364125f · outbound

This paper cites MOMENT: A Family of Open Time-series Foundation Models.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design MOMENT: A Family of Open Time-series Foundation Models

Reference 16

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Observation d7ae5491-c349-49bc-bd58-8e95d38e0eb4 · outbound

This paper cites Learning Surrogate Losses.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Learning Surrogate Losses

Reference 17

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Observation e52a6eb5-5bb8-4874-a7f1-28e8a922a141 · outbound

This paper cites Forecasting economic time series.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Forecasting economic time series

Reference 18

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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.

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Observation 286c6bda-227e-47c4-868f-88271219e04a · outbound

This paper cites Temporal convo- lutional networks for anomaly detection in time se- ries.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Temporal convo- lutional networks for anomaly detection in time se- ries

Reference 19

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Source-reported events for the cited work

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Observation 9b58a004-0f66-4c45-adf9-f1ccbedfadc7 · outbound

This paper cites Loss shaping constraints for long- term time series forecasting.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Loss shaping constraints for long- term time series forecasting

Reference 20

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Observation 5756cb68-3a54-475a-9a42-8b1e57dedfe2 · outbound

This paper cites 8.9 seasonal arima models.Forecasting: principles and practice.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design 8.9 seasonal arima models.Forecasting: principles and practice

Reference 21

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Observation 4854c708-2ae7-4101-b6ae-e44bb1c2f2cf · outbound

This paper cites Energy-efficient ultra- dense network with deep reinforcement learning.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Energy-efficient ultra- dense network with deep reinforcement learning

Reference 22

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Observation da6c94d3-6cdc-49a3-84e7-728e386d699f · outbound

This paper cites End-to-End Training of Deep Visuomotor Policies.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design End-to-End Training of Deep Visuomotor Policies

Reference 23

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Observation 25c37689-5bf8-4648-b910-8606515bc6b7 · outbound

This paper cites From demand forecasting to inventory or- dering decisions for red blood cells through inte- grating machine learning, statistical modeling, and inventory optimization.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design From demand forecasting to inventory or- dering decisions for red blood cells through inte- grating machine learning, statistical modeling, and inventory optimization

Reference 24

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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.

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Observation 12e4bae8-0af3-4d1b-8037-f669863c7af8 · outbound

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

Goal-Oriented Time-Series Forecasting: Foundation Framework Design iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 25

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Observation 8f61745b-63ca-4e7f-8fb3-b6fad3a20455 · outbound

This paper cites itransformer: Inverted transformers are effective for time series forecasting, 2024.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design itransformer: Inverted transformers are effective for time series forecasting, 2024

Reference 26

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Observation ee389fa6-59e3-4709-bab0-c5ef774716f7 · outbound

This paper cites Non-stationary transformers: Explor- ing the stationarity in time series forecasting.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Non-stationary transformers: Explor- ing the stationarity in time series forecasting

Reference 27

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Source-reported events for the cited work

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Observation daf0ebf7-f922-4c62-b445-c8236d5a6222 · outbound

This paper cites Timer: Transformers for time series analysis at scale.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Timer: Transformers for time series analysis at scale

Reference 28

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Source-reported events for the cited work

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

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Observation cbbdecaf-bcad-48c0-b44b-bb362e1a4906 · outbound

This paper cites Decoupled Weight Decay Regularization.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Decoupled Weight Decay Regularization

Reference 29

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Observation 592f5a91-3b94-4c75-bfd4-8c76858ea9d6 · outbound

This paper cites Kairos: Energy-efficient radio unit control for o- ran via advanced sleep modes.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Kairos: Energy-efficient radio unit control for o- ran via advanced sleep modes

Reference 30

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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.

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Observation f148041c-cf1f-47e2-ac2d-f326d11050f8 · outbound

This paper cites Pre- diction of global solar irradiance based on time se- ries analysis: Application to solar thermal power plants energy production planning.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Pre- diction of global solar irradiance based on time se- ries analysis: Application to solar thermal power plants energy production planning

Reference 31

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Source-reported events for the cited work

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

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Observation 55d990a4-d3b5-4e5c-85a0-503febfefac6 · outbound

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

Goal-Oriented Time-Series Forecasting: Foundation Framework Design A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 32

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Source-reported events for the cited work

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Observation 426e3beb-7385-40aa-a617-972bd9571ef1 · outbound

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

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam

Reference 33

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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.

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Observation 1d8f230f-bdba-4844-bdcc-83e252067f30 · outbound

This paper cites Deep imbalanced time-series forecast- ing via local discrepancy density.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Deep imbalanced time-series forecast- ing via local discrepancy density

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.967044Z

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.

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Observation 771605ef-af40-4774-b559-fed72a8d7f29 · outbound

This paper cites Hamid Aghvami.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Hamid Aghvami

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.951630Z

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.

source=pdf_text observed=2026-08-16T10:42:58.312177Z digest=sha256:0251e62cf449ba104cc3066fffd9a96b419880f718891da20ed9b72b7e6c5baf

Observation 67c29253-27e4-4806-8250-4eaf806c0b83 · outbound

This paper cites A practi- cal end-to-end inventory management model with deep learning.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design A practi- cal end-to-end inventory management model with deep learning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.936297Z

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.

source=pdf_text observed=2026-08-16T10:42:58.317071Z digest=sha256:d71d7715a599dcda3d43d26df2f34b1030f2eb4bbe5f854e789bbc5eddb093f8

Observation b3fe0bd0-8af4-43e3-85d8-1f8cd8f8598a · outbound

This paper cites A review and discussion of decomposition-based hybrid models for wind en- ergy forecasting applications.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design A review and discussion of decomposition-based hybrid models for wind en- ergy forecasting applications

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.920539Z

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.

source=pdf_text observed=2026-08-16T10:42:58.321569Z digest=sha256:18588a89d2398bcb68183847d4a0c6eb25bc73918f7e56243869dfd72a61a7e1

Observation 9878f9a4-6ff9-45a3-af2b-e294424d54ed · outbound

This paper cites Flusion: Integrating multi- ple data sources for accurate influenza predictions.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Flusion: Integrating multi- ple data sources for accurate influenza predictions

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.905838Z

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.

source=pdf_text observed=2026-08-16T10:42:58.326101Z digest=sha256:8fa4c140436eee691c64725e61502c74a9028e83aa4eab649b750397957d6052

Observation cd705018-ea3b-480e-beb7-6c15219f4d3f · outbound

This paper cites Electricity- loaddiagrams20112014.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Electricity- loaddiagrams20112014

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.891596Z

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.

source=pdf_text observed=2026-08-16T10:42:58.330485Z digest=sha256:d13b5680e7025c5d9bc7facbab81ab18ff275288213cdaea39054102c725699d

Observation 43734cef-f3ef-4d17-9380-8440d3ceaa34 · outbound

This paper cites Under- standing machine learning: From theory to algo- rithms.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Under- standing machine learning: From theory to algo- rithms

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.876656Z

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.

source=pdf_text observed=2026-08-16T10:42:58.334730Z digest=sha256:fcfe43084a29ea63a70519e63e215fe17c40211bf11811cfebc2d014acd92c81

Observation 15e77337-2e52-42d5-92d7-62e8d08012aa · outbound

This paper cites The performance of lstm and bil- stm in forecasting time series.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design The performance of lstm and bil- stm in forecasting time series

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.862131Z

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.

source=pdf_text observed=2026-08-16T10:42:58.338589Z digest=sha256:0f5cd167bad2c83f57a97dc200a21dc0cef3bcca4e6ad673eafe380c5d79c5c8

Observation b9a55d5b-2769-4b59-a080-802a2abab2fd · outbound

This paper cites End-to-end scene text recognition.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design End-to-end scene text recognition

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.847407Z

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.

source=pdf_text observed=2026-08-16T10:42:58.342396Z digest=sha256:ba5a4b7a2dd48513d797501c4690fc56fb4352cc34bcc4376efd703a108940fe

Observation 5a4a23c9-c4ae-402b-9731-0db13996220b · outbound

This paper cites Zhang, and Jun Zhou.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Zhang, and Jun Zhou

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.832640Z

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.

source=pdf_text observed=2026-08-16T10:42:58.346078Z digest=sha256:e3a960ead5b57762387b500b223b7977b231b91ddd93e669229e5f796babc8f3

Observation 41ce37e0-991e-4533-a70b-effc89139a64 · outbound

This paper cites Uni- fied training of universal time series forecasting transformers.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Uni- fied training of universal time series forecasting transformers

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.818811Z

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.

source=pdf_text observed=2026-08-16T10:42:58.350044Z digest=sha256:de7ac3c17cac89775d68fd580f42742ad9b1f02061f53d483f93f0a88f115b84

Observation 501bf93b-b086-4887-9c8d-4c46da64a982 · outbound

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

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Autoformer: Decomposition trans- formers with auto-correlation for long-term series forecasting

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.802357Z

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.

source=pdf_text observed=2026-08-16T10:42:58.353782Z digest=sha256:dbb4896d4ed892c748d764aa5c218c22c3f96f9625503dfe93c17895745c7f03

Observation ec7d2ddf-d84f-4c0d-88cc-8dceb0041260 · outbound

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

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Interpretable weather forecasting for worldwide stations with a unified deep model

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.787743Z

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.

source=pdf_text observed=2026-08-16T10:42:58.357668Z digest=sha256:f06af7e6e11567a9eb1c8307b3eca4d44d459c93e70874cdd2120e7fc50d7280

Observation 461c5afb-f948-45d7-b22e-fd6ad926af80 · outbound

This paper cites Deep reinforcement learning with spatio-temporal traffic forecasting for data-driven base station sleep control.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Deep reinforcement learning with spatio-temporal traffic forecasting for data-driven base station sleep control

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.772878Z

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.

source=pdf_text observed=2026-08-16T10:42:58.361482Z digest=sha256:e6a38499579c03fd8614c1901ba24e046138e86f21c4ba97c28547eecf63b91f

Observation eb022709-c286-4642-ac1e-e59314b604f5 · outbound

This paper cites CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T10:42:58.365279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:42:58.365279Z digest=sha256:8ec1dd6a1fe96d86ded9cbfb28543c892083aa45f8551d41f6ab11cddbe09813

Observation 40b9226b-6e1d-4304-a1f5-58e5bc335d8f · outbound

This paper cites Are transformers effective for time series fore- casting? In Proceedings of the AAAI conference on artificial intelligence, volume 37, pages 11121– 11128, 2023.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Are transformers effective for time series fore- casting? In Proceedings of the AAAI conference on artificial intelligence, volume 37, pages 11121– 11128, 2023

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.756283Z

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.

source=pdf_text observed=2026-08-16T10:42:58.369773Z digest=sha256:772b9532d9c93d1210ce5bd9d2fb22bab5c235df5bf2af86380b667955cb41cb

Observation 1c6c89ee-9f17-42a6-b6ee-9fb93a3a8135 · outbound

This paper cites Time series predic- tion using rnn in multi-dimension embedding phase space.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Time series predic- tion using rnn in multi-dimension embedding phase space

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.741097Z

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.

source=pdf_text observed=2026-08-16T10:42:58.374273Z digest=sha256:ae8a74b010ca35b069274baa655be32c8dd812621871a96ebd24a73aae58d92d

Observation a6ae3db1-57b4-4a02-b5f8-23377e82c39e · outbound

This paper cites Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.726295Z

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.

source=pdf_text observed=2026-08-16T10:42:58.378789Z digest=sha256:13b338a43fc4967f7150564398c362b614f6ef08c2a51cda27bb0ef30bfaecac

Observation f7d057ad-f204-48e7-bae6-5dfd419b1b0c · outbound

This paper cites Informer: Beyond efficient transformer for long se- quence time-series forecasting.

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Informer: Beyond efficient transformer for long se- quence time-series forecasting

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.710555Z

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.

source=pdf_text observed=2026-08-16T10:42:58.383398Z digest=sha256:ee656b9690ff97618e31f87b2b0e8868b26dd028dd111889056c1dde35a3df8d

Observation 97d10991-e20a-4199-aa15-409c3515ade6 · outbound

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

Goal-Oriented Time-Series Forecasting: Foundation Framework Design Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:42:58.694507Z

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.

source=pdf_text observed=2026-08-16T10:42:58.387727Z digest=sha256:a47242a3d4579bc940d2862faa2dd22cd4f4ae3663bf6874936a7cbfbccc8b87

Pith citing papers

Observation 9ce7c3b4-8974-42dd-9b32-7532e1d31f1a · inbound

Beyond Fluency: Toward Reliable Trajectories in Agentic IR cites this paper.

Beyond Fluency: Toward Reliable Trajectories in Agentic IR Goal-Oriented Time-Series Forecasting: Foundation Framework Design

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-13T10:20:01.149126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T10:20:01.149126Z digest=sha256:9ed5a55c91fb0d7c4f845cc1e22c487a380197c1347663e411ea6d6a168aae29