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Paper Citation Record · LEDGER

Causal Time-Series Synchronization for Multi-Dimensional Forecasting

As of 14 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2411.10152.

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

pith.paper-citation-record.v1
2411.10152 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:01:55.860948Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

36 of 36 outbound references displayed

  • verified exact6
  • verified fuzzy7
  • unresolved23
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 604d5bdf-52c1-4c6b-8c3f-0aa458bf084c · outbound

This paper cites an unresolved cited work.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Unresolved cited work

Reference 1

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Source-reported events for the cited work

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Observation eb0babf7-3e07-4fa5-ab34-38a1af80eb15 · outbound

This paper cites Automated Knowledge Graph Learning in Industrial Processes.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Automated Knowledge Graph Learning in Industrial Processes

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 80570efb-be4d-456b-beb8-c6902e978141 · outbound

This paper cites an unresolved cited work.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Unresolved cited work

Reference 3

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Observation 88c4bf69-9322-4eeb-8072-5e3049bf8328 · outbound

This paper cites TSMixer: An All-MLP Architecture for Time Series Forecasting.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting TSMixer: An All-MLP Architecture for Time Series Forecasting

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c2debc25-8a41-43df-b315-53f1d4eae855 · outbound

This paper cites Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

Reference 5

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Observation d4dcf792-79f0-4b4e-a268-772abafaa7f3 · outbound

This paper cites an unresolved cited work.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 725ff6e9-3cf9-41cc-a37e-b72141e82cdb · outbound

This paper cites Making the eu climate-neutral by 2050.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Making the eu climate-neutral by 2050

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f56ae981-62a1-4da6-bb83-b50f961cd7df · outbound

This paper cites SELF-ORGANIZING MULTILAYERED NEURA L NETWORK.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting SELF-ORGANIZING MULTILAYERED NEURA L NETWORK

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 22cf518e-ee45-4847-b93a-85e36c5883cc · outbound

This paper cites TimeGPT-1.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting TimeGPT-1

Reference 9

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Source-reported events for the cited work

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Observation 6248048f-cc25-41f4-a48b-0f064c9c4499 · outbound

This paper cites Investigating Causal Relations by Econo metric Models and Cross-spectral Methods.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Investigating Causal Relations by Econo metric Models and Cross-spectral Methods

Reference 10

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Observation b581ee8a-f1cd-4813-a207-d833ab6a0a94 · outbound

This paper cites CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Inte raction Refine- ment.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Inte raction Refine- ment

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 2238bc02-a3ad-42f4-9f0e-80681fce1ccb · outbound

This paper cites Digital Twin in manu- facturing: A categorical literature review and classification.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Digital Twin in manu- facturing: A categorical literature review and classification

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 10265fe7-ffd1-40fe-bde9-ee375169d36a · outbound

This paper cites In dustry 4.0.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting In dustry 4.0

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d0e41681-cb0f-4a46-a7db-668a66d7412e · outbound

This paper cites Learning to Embed Time Series Patches Independently.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Learning to Embed Time Series Patches Independently

Reference 14

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Observation 5966576f-3143-4ed4-a6fd-09193d4f71f1 · outbound

This paper cites Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

Reference 15

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Unavailable: canonical work link unavailable.

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Observation 62ce3ab9-d899-4dfd-961b-d50c0f284f6f · outbound

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

Causal Time-Series Synchronization for Multi-Dimensional Forecasting iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

Reference 16

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no resolver link, observed 2026-08-12T20:01:55.784333Z

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Unavailable: canonical work link unavailable.

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Observation 9a304de3-5c06-4a9e-8f5d-6022c5c74609 · outbound

This paper cites Learning Paradigms an d Modelling Methodologies for Digital Twins in Process Industry, pp.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Learning Paradigms an d Modelling Methodologies for Digital Twins in Process Industry, pp

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ca937d78-a992-4d74-862a-90e62feb637a · outbound

This paper cites Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manuf acturing Processes.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Abstracting Process Mining Event Logs From Process-State Data To Monitor Control-Flow Of Industrial Manuf acturing Processes

Reference 18

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verified exact
doi, observed 2026-08-12T20:01:56.007055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation cef087ca-398d-4890-9122-e045daaf2e63 · outbound

This paper cites BasisFormer: Attention- based Time Series Forecasting with Learnable and Interpretable Ba sis.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting BasisFormer: Attention- based Time Series Forecasting with Learnable and Interpretable Ba sis

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 44ced68d-34b9-4a6a-8571-ef9dce172d1c · outbound

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

Causal Time-Series Synchronization for Multi-Dimensional Forecasting A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

Reference 20

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Observation d0d7c57d-a68d-488a-a5f5-d744625a5b1b · outbound

This paper cites NeuralForecast: User friendly state-of-the-art neural forecasting models.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting NeuralForecast: User friendly state-of-the-art neural forecasting models

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation aafbcb03-a9a2-45f1-a29c-a6fd8c1a031c · outbound

This paper cites Digital Twin: Values, Ch allenges and Enablers From a Modeling Perspective.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Digital Twin: Values, Ch allenges and Enablers From a Modeling Perspective

Reference 22

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 312e59f9-6d9d-4dd6-b330-8999e556fe7a · outbound

This paper cites Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 23

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Observation b3aa08ff-87fc-4a20-b786-719b6dea8cb6 · outbound

This paper cites an unresolved cited work.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 17d8fa95-4321-4c04-b1fd-8c3d4ab31cef · outbound

This paper cites Parameter Efficient Deep Probabilistic Forecasting.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Parameter Efficient Deep Probabilistic Forecasting

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d27f18f3-127a-435d-ab55-4f74c3a930b0 · outbound

This paper cites an unresolved cited work.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f13b87aa-d882-4a80-b8c8-a703cb79b051 · outbound

This paper cites Unified Training of Universal Time Series Forecasting Transformers.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Unified Training of Universal Time Series Forecasting Transformers

Reference 27

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Observation e022bf11-9da9-40c8-819e-47c3453430e8 · outbound

This paper cites TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

Reference 28

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Unavailable: canonical work link unavailable.

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Observation 78f9df0a-ce4b-49ad-96aa-de2ad105c473 · outbound

This paper cites an unresolved cited work.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 2a899acc-13ca-456e-a37b-625848c4d747 · outbound

This paper cites Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:01:55.860948Z digest=sha256:36aae7232a21dea3d9ac7ccbad6a3127ec26d08a6ed0dfb915b07bd7a6ae12ee

Observation 3d4596c1-7e50-415f-af30-796f2ae40de1 · outbound

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

Causal Time-Series Synchronization for Multi-Dimensional Forecasting TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:01:55.837428Z digest=sha256:19024febf3984042b907236b346cf4851eed0b2769794ac1900e9553037d3c1a

Observation f63b5f26-d68d-4485-979b-b626013d8b4d · outbound

This paper cites Advances in Neural Information Processing System s 36, 69638–69660.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Advances in Neural Information Processing System s 36, 69638–69660

Reference 35

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raw_fallback, observed 2026-08-12T20:01:56.487190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 4dc995fc-76a7-48bf-b814-c2f5cc827ca7 · outbound

This paper cites an unresolved cited work.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Unresolved cited work

Reference 1022

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Unavailable: canonical work link unavailable.

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Observation 5bf7749b-15e3-4f11-97aa-7e0c14491ad5 · outbound

This paper cites an unresolved cited work.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Unresolved cited work

Reference 2020

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 20294698-b576-4b10-a37e-197368de35f1 · outbound

This paper cites Nat Rev Earth Environ 4, 487–505.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Nat Rev Earth Environ 4, 487–505

Reference 2023

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source=pdf_text observed=2026-08-12T20:01:55.824511Z digest=sha256:d02ae23d034e6296d175f392f6819e266d9c2331e11a86ad348320a6dfd9fbc9

Observation 5c4c79f4-e3d2-4fe7-b8c0-aa1ffae50b6b · outbound

This paper cites Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting.

Causal Time-Series Synchronization for Multi-Dimensional Forecasting Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Reference 2024

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:01:55.718299Z digest=sha256:4551bbd5e7e2bf3a27143c802685192519ee07bebb3887cdca4128c418c54f2d

Pith citing papers

No inbound Pith citation observations are available.