Paper Citation Record · LEDGER

Channel Normalization for Time Series Channel Identification

As of 14 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2506.00432.

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

pith.paper-citation-record.v1
2506.00432 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:12:17.123974Z

measured 49 of 49 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

49 of 49 outbound references displayed

verified exact3
verified fuzzy22
unresolved24
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a5b1168-79c2-4130-a871-6ebc6edb183a · outbound

This paper cites write newline.

Channel Normalization for Time Series Channel Identification write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:11.656642Z

Source-reported events for the cited work

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Observation 40d706c8-8f7f-4dfc-8560-1102f21a42a9 · outbound

This paper cites an unresolved cited work.

Channel Normalization for Time Series Channel Identification Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:12:22.356787Z

Source-reported events for the cited work

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Observation c2297a21-1346-4871-8d6b-18040a05f156 · outbound

This paper cites R., and Hinton, G.

Channel Normalization for Time Series Channel Identification R., and Hinton, G

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:22.184522Z

Source-reported events for the cited work

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Observation 1d39d461-d741-4621-a7b7-dd3671b20fef · outbound

This paper cites MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting.

Channel Normalization for Time Series Channel Identification MambaTS: Improved Selective State Space Models for Long-term Time Series Forecasting

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:12.139602Z

Source-reported events for the cited work

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Observation 73709d75-c0a8-4ab5-ab9b-af26466110dd · outbound

This paper cites R., Chen, M., Rodrigues, M.

Channel Normalization for Time Series Channel Identification R., Chen, M., Rodrigues, M

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:22.014000Z

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Observation 0ea79904-9576-4092-b13d-c65a8c7fb0ea · outbound

This paper cites Freeway performance measurement system: mining loop detector data.

Channel Normalization for Time Series Channel Identification Freeway performance measurement system: mining loop detector data

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:21.864078Z

Source-reported events for the cited work

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Observation 53b920f7-38ae-4665-8173-174974a06256 · outbound

This paper cites From Similarity to Superiority: Channel Clustering for Time Series Forecasting.

Channel Normalization for Time Series Channel Identification From Similarity to Superiority: Channel Clustering for Time Series Forecasting

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:12.612981Z

Source-reported events for the cited work

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Observation 16063e94-daf1-4ff8-9e76-9aabbc439c2c · outbound

This paper cites O., and Pfister, T.

Channel Normalization for Time Series Channel Identification O., and Pfister, T

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:21.686857Z

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.

Observation a8f039ba-efc1-4c86-829f-5460e57d0314 · outbound

This paper cites Learning on bandwidth constrained multi-source data with mimo-inspired dpp map inference.

Channel Normalization for Time Series Channel Identification Learning on bandwidth constrained multi-source data with mimo-inspired dpp map inference

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:21.485327Z

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.

Observation 79c7ae1a-372f-49c8-a7a4-52c80949abab · outbound

This paper cites Sequence complementor: Complementing transformers for time series forecasting with learnable sequences.

Channel Normalization for Time Series Channel Identification Sequence complementor: Complementing transformers for time series forecasting with learnable sequences

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:21.279117Z

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.

Observation 637b83b0-b09a-4f17-8358-8e473cd838d2 · outbound

This paper cites InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting.

Channel Normalization for Time Series Channel Identification InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:12:17.945543Z

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.

Observation 525592ef-1764-4afd-ae99-f6cd4f8cd0b2 · outbound

This paper cites Towards spatio-temporal aware traffic time series forecasting.

Channel Normalization for Time Series Channel Identification Towards spatio-temporal aware traffic time series forecasting

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:21.097013Z

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.

Observation 776ca5a9-5d58-4372-a1da-4bb910b4c700 · outbound

This paper cites A hybrid residual dilated lstm and exponential smoothing model for midterm electric load forecasting.

Channel Normalization for Time Series Channel Identification A hybrid residual dilated lstm and exponential smoothing model for midterm electric load forecasting

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:21.010018Z

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.

Observation af840d55-53ef-46ed-9905-d278db790a93 · outbound

This paper cites UniTS: A Unified Multi-Task Time Series Model.

Channel Normalization for Time Series Channel Identification UniTS: A Unified Multi-Task Time Series Model

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:13.738860Z

Source-reported events for the cited work

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Observation d3ee1a76-cbc4-40a0-a3ab-3431a633a2ba · outbound

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

Channel Normalization for Time Series Channel Identification Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:13.861284Z

Source-reported events for the cited work

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Observation 6949c477-cda1-4054-a5ba-772b16032506 · outbound

This paper cites The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting.

Channel Normalization for Time Series Channel Identification The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:14.000445Z

Source-reported events for the cited work

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Observation 61af0a9e-d90c-4354-8095-b59092f521b0 · outbound

This paper cites B., Ord, J.

Channel Normalization for Time Series Channel Identification B., Ord, J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:20.825673Z

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.

Observation b0cc2bb9-7c95-4ba0-b8ca-ccb8c93eed97 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift.

Channel Normalization for Time Series Channel Identification Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:20.662266Z

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.

Observation e2300530-2e5f-4ea8-9cc9-9a24fe50f0f3 · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against distribution shift.

Channel Normalization for Time Series Channel Identification Reversible instance normalization for accurate time-series forecasting against distribution shift

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:20.480332Z

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.

Observation e563a5bf-f98a-4e3c-b474-f252a2755f31 · outbound

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

Channel Normalization for Time Series Channel Identification Modeling long-and short-term temporal patterns with deep neural networks

Reference 20

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Source-reported events for the cited work

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Observation b5b034c2-c5af-468d-b275-e26e1911b475 · outbound

This paper cites Sequential Order-Robust Mamba for Time Series Forecasting.

Channel Normalization for Time Series Channel Identification Sequential Order-Robust Mamba for Time Series Forecasting

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:12:17.677345Z

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.

Observation d0c81215-9b21-4821-8bf5-f42d316f8897 · outbound

This paper cites Predicting best-selling new products in a major promotion campaign through graph convolutional networks.

Channel Normalization for Time Series Channel Identification Predicting best-selling new products in a major promotion campaign through graph convolutional networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:20.256089Z

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.

Observation c35db987-a3c2-4592-bb26-2d4fe4928ed0 · outbound

This paper cites Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping.

Channel Normalization for Time Series Channel Identification Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:14.777700Z

Source-reported events for the cited work

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Observation 94357a63-854f-4e9b-8e30-c477ed9e834e · outbound

This paper cites Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting.

Channel Normalization for Time Series Channel Identification Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:14.863025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d9d406-30fa-416d-857c-e721935e359d · outbound

This paper cites Scinet: Time series modeling and forecasting with sample convolution and interaction.

Channel Normalization for Time Series Channel Identification Scinet: Time series modeling and forecasting with sample convolution and interaction

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:20.069583Z

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.

Observation fbeba5ab-bf7d-40f6-8c71-c87d8a81baad · outbound

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

Channel Normalization for Time Series Channel Identification itransformer: Inverted transformers are effective for time series forecasting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:15.022245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25875379-3076-43ba-9f83-7ab5ee3d8ef5 · outbound

This paper cites FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting.

Channel Normalization for Time Series Channel Identification FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:15.110115Z

Source-reported events for the cited work

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Observation d61f5285-b1ea-458d-9e8b-224865da1898 · outbound

This paper cites and Gweon, H.

Channel Normalization for Time Series Channel Identification and Gweon, H

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:19.885327Z

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.

Observation 5978563f-4f66-4aad-8a6f-accef4c9eb20 · outbound

This paper cites Channel-aware low-rank adaptation in time series forecasting.

Channel Normalization for Time Series Channel Identification Channel-aware low-rank adaptation in time series forecasting

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:19.704854Z

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.

Observation 278c4437-9c1b-484b-bbe1-435573683081 · outbound

This paper cites H., Sinthong, P., and Kalagnanam, J.

Channel Normalization for Time Series Channel Identification H., Sinthong, P., and Kalagnanam, J

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:15.366104Z

Source-reported events for the cited work

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Observation 09703cbf-783c-4168-baa8-c683d252b086 · outbound

This paper cites Solar power data for integration studies.

Channel Normalization for Time Series Channel Identification Solar power data for integration studies

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:19.513785Z

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.

Observation cadc66cb-371b-4407-a492-a331d3a5a110 · outbound

This paper cites Deep adaptive input normalization for time series forecasting.

Channel Normalization for Time Series Channel Identification Deep adaptive input normalization for time series forecasting

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:19.302206Z

Source-reported events for the cited work

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Observation 45f354ec-9451-4d58-8e8a-d2820c6f538a · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Channel Normalization for Time Series Channel Identification Pytorch: An imperative style, high-performance deep learning library

Reference 33

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Source-reported events for the cited work

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Observation 187f49b6-39be-4922-8faf-6dd1b62d78b4 · outbound

This paper cites Certain Relations between Mutual Information and Fidelity of Statistical Estimation.

Channel Normalization for Time Series Channel Identification Certain Relations between Mutual Information and Fidelity of Statistical Estimation

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:12:17.397151Z

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.

Observation 8a09b408-cec5-4f4d-9d6b-56e6248cb00d · outbound

This paper cites E., Hinton, G.

Channel Normalization for Time Series Channel Identification E., Hinton, G

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:15.851541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a6c6d78-af31-43ff-90f4-00a0806c7cc6 · outbound

This paper cites and Joy, A.

Channel Normalization for Time Series Channel Identification and Joy, A

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:19.083645Z

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.

Observation fad630f5-f765-4605-b811-499a1db31d92 · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

Channel Normalization for Time Series Channel Identification Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 37

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Source-reported events for the cited work

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Observation f4c09062-8512-4c5b-a016-92826e8bedd7 · outbound

This paper cites and Hinton, G.

Channel Normalization for Time Series Channel Identification and Hinton, G

Reference 38

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

Observation 59135a74-918a-4f10-9a18-49cdf8fad73a · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

Channel Normalization for Time Series Channel Identification N., Kaiser, ., and Polosukhin, I

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:16.233571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd24aba7-3d4d-4571-84aa-f4de40732fb1 · outbound

This paper cites Is mamba effective for time series forecasting? Neurocomputing, 619: 0 129178, 2025.

Channel Normalization for Time Series Channel Identification Is mamba effective for time series forecasting? Neurocomputing, 619: 0 129178, 2025

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:18.784661Z

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.

Observation 867ec7bd-120a-4766-b29c-0dffb8abc843 · outbound

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

Channel Normalization for Time Series Channel Identification Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:18.570767Z

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.

Observation e3dd65eb-6162-484b-aa79-c64849df9ead · outbound

This paper cites and He, K.

Channel Normalization for Time Series Channel Identification and He, K

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:18.394165Z

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.

Observation fa3d5ec3-a561-48f1-ac6d-e63f2add7dca · outbound

This paper cites an unresolved cited work.

Channel Normalization for Time Series Channel Identification Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:12:18.238251Z

Source-reported events for the cited work

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Observation 4aa96864-acf1-444e-91b8-121eb344d620 · outbound

This paper cites Are transformers effective for time series forecasting? In AAAI, 2023.

Channel Normalization for Time Series Channel Identification Are transformers effective for time series forecasting? In AAAI, 2023

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:16.714116Z

Source-reported events for the cited work

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Observation 602d3de5-c857-465d-8d4f-a5fa9ef6d9f6 · outbound

This paper cites CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting.

Channel Normalization for Time Series Channel Identification CMamba: Channel Correlation Enhanced State Space Models for Multivariate Time Series Forecasting

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:16.783362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa2f1935-8932-477d-82c0-b750740ba2a9 · outbound

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

Channel Normalization for Time Series Channel Identification Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:16.816513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7614e07-ee74-4f33-a75c-0d86ee30ae64 · outbound

This paper cites @esa (Ref.

Channel Normalization for Time Series Channel Identification @esa (Ref

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:16.905433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb41a4a2-6ec7-44a2-bcf8-62038646fc0c · outbound

This paper cites an unresolved cited work.

Channel Normalization for Time Series Channel Identification Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:17.024462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 809f68e1-b5d6-44d4-9d42-e4f6e8203914 · outbound

This paper cites an unresolved cited work.

Channel Normalization for Time Series Channel Identification Unresolved cited work

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:17.123974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.