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Paper Citation Record · LEDGER

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting

As of 8 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 8 inbound Pith citation observations for arXiv:2502.06910.

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

pith.paper-citation-record.v1
2502.06910 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:44:22.884024Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:48:11.863881Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:41:12.479424Z

Reference resolution

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved9
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee1e3397-4f95-435e-b32c-16802881461d · outbound

This paper cites Convolutional Kolmogorov-Arnold Networks.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting Convolutional Kolmogorov-Arnold Networks

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:44:22.822416Z digest=sha256:3b4c0bb2bc9889bf91ae9fb3ddcadf60e6d1d0db0b456a31a5bde19b6d74f1a9

Observation fc92840b-335f-41a0-a9ef-18970f7eef6e · outbound

This paper cites Kolmogorov-Arnold Networks are Radial Basis Function Networks.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting Kolmogorov-Arnold Networks are Radial Basis Function Networks

Reference 5

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source=pdf_text observed=2026-08-08T16:44:22.838823Z digest=sha256:10c05946b69b94cbd5f08b5ad546815fd2f14b86e729ab6002b4afcb7febb2b5

Observation c0a083a4-125e-4c24-983b-ac50f5bee5eb · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting KAN: Kolmogorov-Arnold Networks

Reference 6

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source=pdf_text observed=2026-08-08T16:44:22.843294Z digest=sha256:d7a21d27f2e02274dfbeeed88fcd7ae17f2de58e60e14884cae0c9667a05a3c8

Observation 8cbc9139-6d97-4499-ba2a-a07ed31f8d0e · outbound

This paper cites A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T16:44:22.847176Z digest=sha256:cc3dc768769e1db2ca54eba6d9d9b0711f4dea996de83a518611a5f5df8459f4

Observation 34516650-f0f3-4ea4-bee2-1b684c5e438a · outbound

This paper cites Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation

Reference 8

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source=pdf_text observed=2026-08-08T16:44:22.851131Z digest=sha256:74100e35c10abf0bb0fc162e10cd5266a86aa428c66fef0a03df7ab85fd63b09

Observation eec619d3-c492-4980-b738-13dc1e4896f9 · outbound

This paper cites Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting Kolmogorov Arnold Informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on Kolmogorov Arnold Networks

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:44:22.855657Z digest=sha256:c6cdc1d7ab285be45d6ba3cda95703ef4278b763d864134b9db030a9b8ce8efd

Observation 37dd41cd-a1bf-4982-bb08-0de70e4baa41 · outbound

This paper cites WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?

Reference 11

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source=pdf_text observed=2026-08-08T16:44:22.863440Z digest=sha256:804e704f43bcea264be8fb107efb5626f78334612584dfe5473285f7c8ef04f9

Observation 60db9296-2313-46ad-9867-e8946068b49d · outbound

This paper cites doi: https://doi.org/10.1016/j.apenergy.2022.120527.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting doi: https://doi.org/10.1016/j.apenergy.2022.120527

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:44:22.867251Z digest=sha256:0076a53ff637ad11eda4a4616c34d6c3c34867982b8dbaf4d3934d072c4d02b7

Observation cc299edd-7d70-4cf9-a1e8-c43f7f75f037 · outbound

This paper cites Film: Frequency improved legendre memory model for long-term time series forecasting.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting Film: Frequency improved legendre memory model for long-term time series forecasting

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:44:22.870541Z digest=sha256:009342b0de2cc14ef9d408d46b5efaffdb7333832b782662a1dfab1d427b81c9

Observation 7906ab29-8a70-4549-aa09-79edf24b31a2 · outbound

This paper cites an unresolved cited work.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:44:22.880653Z digest=sha256:27e5c5c9d0417a5173d5284c2ca45f54b86040ceed7df408bdb281f9e399935e

Observation 31654167-1ea5-4876-90bd-260d2c29ccff · outbound

This paper cites This also inspires tour design of the Multi-order KAN to dynamically represent different frequencies.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting This also inspires tour design of the Multi-order KAN to dynamically represent different frequencies

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:44:22.884024Z digest=sha256:c881ba91e7612ae8e53c672cf0326cabf79bf8afe324af8fe642376a179fd0db

Observation 98b969e8-d08d-449b-9838-722ed47a7b19 · outbound

This paper cites an unresolved cited work.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting Unresolved cited work

Reference 32

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:44:22.874019Z digest=sha256:7fc882710a3a9494f890afb2bf761603a281e44b1dd14ab741a1360e54a37d4d

Observation e714ccbe-3845-462e-884d-d6156233fbb1 · outbound

This paper cites We infer that its poor performance on the electricity dataset is due to the overly short look-back window (T = 96), which cannot provide sufficient frequency information.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting We infer that its poor performance on the electricity dataset is due to the overly short look-back window (T = 96), which cannot provide sufficient frequency information

Reference 512

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:44:22.877602Z digest=sha256:52d72fe1b2254ee5943d9db07b34635baae9b1ef2f4d71a4f4949559cd357ac7

Observation 0fcbf3c5-f9a4-4aca-bc69-1dec3243b070 · outbound

This paper cites Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, and Mingsheng Long.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting Haixu Wu, Tengge Hu, Yong Liu, Hang Zhou, Jianmin Wang, and Mingsheng Long

Reference 2021

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raw_fallback, observed 2026-08-08T16:44:23.227178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:44:22.859428Z digest=sha256:27b5ed9233d89ac2ea7d767ae1978fc69e5f4b027aebe4190b496bcb54714d42

Observation 8a420951-c50b-4ff4-b818-9a9a6ca92699 · outbound

This paper cites doi: https://doi.org/10.1016/ j.eswa.2022.117921.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting doi: https://doi.org/10.1016/ j.eswa.2022.117921

Reference 2022

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no resolver link, observed 2026-08-08T16:44:22.831306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:44:22.831306Z digest=sha256:bb69c262eae37eb5b1841e28c3a7806c89b6f540d05c22bb15e79d3edda45a74

Observation c560919f-390b-48cd-85df-14184e51f348 · outbound

This paper cites U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

Reference 2023

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source=pdf_text observed=2026-08-08T16:44:22.834902Z digest=sha256:ce915fc5d69022515f0d1e85524e3eb3051c5c9f595664a43cd2e945c72792d7

Observation 4fb20838-ad8f-4370-a29a-242def16d934 · outbound

This paper cites 10 Published as a conference paper at ICLR 2025 Weiwei Jiang and Jiayun Luo.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting 10 Published as a conference paper at ICLR 2025 Weiwei Jiang and Jiayun Luo

Reference 2024

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raw_fallback, observed 2026-08-08T16:44:23.238207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T16:44:22.827414Z digest=sha256:c705a67a647606588fa80fc81e58e89d8ad51921f4bac2e28f0748c60f211391

Pith citing papers

Observation fceb3d42-7dee-4e26-8e36-c2a54c00e801 · inbound

TimeCF: A TimeMixer-Based Model with adaptive Convolution and Sharpness-Aware Minimization Frequency Domain Loss for long-term time seris forecasting cites this paper.

TimeCF: A TimeMixer-Based Model with adaptive Convolution and Sharpness-Aware Minimization Frequency Domain Loss for long-term time seris forecasting TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting

Reference 11

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T14:48:11.863881Z digest=sha256:0e995cc7f9a99d0f54e5f7cf813a32daba6ebb2413287a3dd733f1064995704c

Observation 6c9c3a67-d668-4a29-a7f7-519f99f555a4 · inbound

Improving Memory Efficiency for Training KANs via Meta Learning cites this paper.

Improving Memory Efficiency for Training KANs via Meta Learning TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:37:57.731917Z digest=sha256:4be61cc8cb967f2d8f8b1a96b0f1559fd4a7411eb3b561f3cb6ec8323e1a4733

Observation 5096162d-2cda-4868-b156-1270edb87b53 · inbound

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting cites this paper.

XFMNet: Decoding Cross-Site and Nonstationary Water Patterns via Stepwise Multimodal Fusion for Long-Term Water Quality Forecasting TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting

Reference 51

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:15:45.680382Z digest=sha256:228aaefc2ae78eb1d221c4d250969dad2e8e4d250de3d5e25d733eacc78c115e

Observation 7b58c238-f39b-48ac-9d30-12c038da8aa9 · inbound

Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting cites this paper.

Dual-Prototype Disentanglement: A Context-Aware Enhancement Framework for Time Series Forecasting TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting

Reference 5

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source=pdf_text observed=2026-08-03T08:34:25.821284Z digest=sha256:366715876c856f77e7aa71589cdefd97a67a82e6749d5006fb6d29f4b1804e62

Observation b7857eab-bdbd-4a4b-9740-ce4a6d767383 · inbound

AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting cites this paper.

AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting

Reference 12

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arxiv_id, observed 2026-05-11T20:41:12.485974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T08:18:28.691714Z digest=sha256:2e9064959bece1bd100a0e220936aa7a6589480b240469b5d171d1b3bc4d3f9f

Observation fc6cf812-d680-4afd-8972-2a34c368df2f · inbound

Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning cites this paper.

Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting

Reference 45

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arxiv_id, observed 2026-05-11T04:00:56.466159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T02:00:27.185384Z digest=sha256:eb02bb6abdff45ed417b67e3aebac3369c2e9919e0c2d4811125f9f7643ccb89

Observation d92b6a36-ccf7-466c-91b9-72f9503cbcf1 · inbound

STKAN: Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting cites this paper.

STKAN: Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting

Reference 15

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source=pdf_text observed=2026-08-02T06:28:25.261864Z digest=sha256:1991950f940b7f69b50be09ed5e66fc6041fd1923051824399d369922dee3708

Observation cb7e6b73-870c-4291-aad9-3cbe0539dc4b · inbound

Complementary Matrix-Gated QKAN Fast-Weight Programmers for Quantum Dynamics Forecasting cites this paper.

Complementary Matrix-Gated QKAN Fast-Weight Programmers for Quantum Dynamics Forecasting TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting

Reference 28

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no resolver link, observed 2026-07-31T22:38:16.782248Z

Source-reported events for the cited work

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source=pdf_text observed=2026-07-31T22:38:16.782248Z digest=sha256:35c9bfdaafc77b76291ae5e1b6e1dc890fbadecbc353c43446536e415a331cde