Paper Citation Record · LEDGER

KAN vs LSTM Performance in Time Series Forecasting

As of 23 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2511.18613.

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

pith.paper-citation-record.v1
2511.18613 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:42:56.494444Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

38 of 38 outbound references displayed

verified exact0
verified fuzzy0
unresolved38
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8ae54e6-e1c1-4300-b350-fba2175b1aff · outbound

This paper cites an unresolved cited work.

KAN vs LSTM Performance in Time Series Forecasting Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:52.848405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0308b639-578e-4776-a74c-592151443fec · outbound

This paper cites Springer, 18 Cham, 2nd edition, 2023.

KAN vs LSTM Performance in Time Series Forecasting Springer, 18 Cham, 2nd edition, 2023

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:52.883446Z

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Observation d555307c-b8b3-44b5-923c-4392d0bb738b · outbound

This paper cites On functions of three variables.Doklady Akademii Nauk SSSR (Proceedings of the USSR Academy of Sciences), 114(4):679–681, 1957.

KAN vs LSTM Performance in Time Series Forecasting On functions of three variables.Doklady Akademii Nauk SSSR (Proceedings of the USSR Academy of Sciences), 114(4):679–681, 1957

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:52.957920Z

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Unavailable: canonical work link unavailable.

Observation 7dc63a39-7313-4a56-b26e-50e87e8365f0 · outbound

This paper cites Github - ranaroussi/yfinance: Yahoo! finance market data downloader (+faster pandas datareader).https://github.com/ranar oussi/yfinance.

KAN vs LSTM Performance in Time Series Forecasting Github - ranaroussi/yfinance: Yahoo! finance market data downloader (+faster pandas datareader).https://github.com/ranar oussi/yfinance

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:53.023930Z

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Observation d1bb4fa1-a623-45f2-a447-16cd6ed34303 · outbound

This paper cites Explainability and interpretability in electric load forecasting using machine learning techniques–a review.Energy and AI, page 100358, 2024.

KAN vs LSTM Performance in Time Series Forecasting Explainability and interpretability in electric load forecasting using machine learning techniques–a review.Energy and AI, page 100358, 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:53.099288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69a5187d-1576-413a-bf8a-65069ea1c5da · outbound

This paper cites an unresolved cited work.

KAN vs LSTM Performance in Time Series Forecasting Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:53.274765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d95569d6-f1fc-48d8-a7b5-9305d32c2517 · outbound

This paper cites The asymptotic performance of linear echo state neural networks.Jour- nal of Machine Learning Research, 17(178):1–35, 2016.

KAN vs LSTM Performance in Time Series Forecasting The asymptotic performance of linear echo state neural networks.Jour- nal of Machine Learning Research, 17(178):1–35, 2016

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:53.403014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1705aff2-3bb8-4bfd-adfc-0497652c0033 · outbound

This paper cites Approximation by superpositions of a sigmoidal function.

KAN vs LSTM Performance in Time Series Forecasting Approximation by superpositions of a sigmoidal function

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:53.565319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9870fc7-505d-412a-a524-f9a909d2093e · outbound

This paper cites an unresolved cited work.

KAN vs LSTM Performance in Time Series Forecasting Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:53.663541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2925dab-4b19-48a3-bc33-4b0edfe1f512 · outbound

This paper cites On inter- pretability of artificial neural networks: A survey.IEEE Transactions on Radiation and Plasma Medical Sciences, 5(6):741–760, 2021.

KAN vs LSTM Performance in Time Series Forecasting On inter- pretability of artificial neural networks: A survey.IEEE Transactions on Radiation and Plasma Medical Sciences, 5(6):741–760, 2021

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:53.800798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31d3e0c2-bd0b-45c6-bbe1-09b42f08573b · outbound

This paper cites Goodfellow, Y.

KAN vs LSTM Performance in Time Series Forecasting Goodfellow, Y

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:53.924342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d8941bb-1203-462c-ab60-95cd2e791004 · outbound

This paper cites Goudarzi, Y.

KAN vs LSTM Performance in Time Series Forecasting Goudarzi, Y

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:54.026654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a5d1a4a-3b51-4a9f-b851-2a5b8fb029b3 · outbound

This paper cites Theory of the backpropagation neural network.

KAN vs LSTM Performance in Time Series Forecasting Theory of the backpropagation neural network

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:54.090370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 513d65b2-8773-42ce-a9bf-401eef46656e · outbound

This paper cites Long short-term memory.

KAN vs LSTM Performance in Time Series Forecasting Long short-term memory

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:54.195770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 986b2727-4ace-4eee-b283-1b95c84898fe · outbound

This paper cites Long short-term memory.

KAN vs LSTM Performance in Time Series Forecasting Long short-term memory

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:54.270524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 122d07be-4e05-4a73-8db2-076a3728afd1 · outbound

This paper cites Multilayer feedforward net- works are universal approximators.Neural Networks, 2(5):359–366, 1989.

KAN vs LSTM Performance in Time Series Forecasting Multilayer feedforward net- works are universal approximators.Neural Networks, 2(5):359–366, 1989

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:54.345312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a144c1ba-4fbf-4bfc-8289-83d7dbd8caca · outbound

This paper cites Hyndman and George Athanasopoulos.Forecasting: Principles and Practice.

KAN vs LSTM Performance in Time Series Forecasting Hyndman and George Athanasopoulos.Forecasting: Principles and Practice

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:54.410475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c2acd2e-b275-49c4-adec-31dc46365035 · outbound

This paper cites A comprehensive framework for uncovering non- linearity and chaos in financial markets: Empirical evidence for four major stock market indices.Entropy, 22(12), 2020.

KAN vs LSTM Performance in Time Series Forecasting A comprehensive framework for uncovering non- linearity and chaos in financial markets: Empirical evidence for four major stock market indices.Entropy, 22(12), 2020

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:54.476440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5bad59d-3513-4b35-a87f-b5aa1569d16d · outbound

This paper cites an unresolved cited work.

KAN vs LSTM Performance in Time Series Forecasting Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:54.533755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a4e1159-cf3a-4a61-9206-5fe7cac59c83 · outbound

This paper cites Kolmogorov.

KAN vs LSTM Performance in Time Series Forecasting Kolmogorov

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:54.612954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae7d11c3-4b3e-4d24-91af-c4362d23d0d8 · outbound

This paper cites Springer, Cham, 2015.

KAN vs LSTM Performance in Time Series Forecasting Springer, Cham, 2015

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:54.687704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b3bf54d-6a60-4dfa-b7df-5e99b8d0b176 · outbound

This paper cites Tfkan: Time-frequency kan for long-term time series forecasting, 2025.

KAN vs LSTM Performance in Time Series Forecasting Tfkan: Time-frequency kan for long-term time series forecasting, 2025

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:54.750372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7a5ec62-4b22-4546-a68f-18c4f29f7ed5 · outbound

This paper cites Hou, and Max Tegmark.

KAN vs LSTM Performance in Time Series Forecasting Hou, and Max Tegmark

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:54.840799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9abc440e-5795-48a6-b48b-489cda1d03d5 · outbound

This paper cites an unresolved cited work.

KAN vs LSTM Performance in Time Series Forecasting Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:54.991614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b678be90-70f3-4af5-acd9-cd61f82646f9 · outbound

This paper cites In- terpretable short-term electrical load forecasting scheme using cubist.

KAN vs LSTM Performance in Time Series Forecasting In- terpretable short-term electrical load forecasting scheme using cubist

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:55.072831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f2a110a-7598-4a13-95ce-03b9112a4bdc · outbound

This paper cites an unresolved cited work.

KAN vs LSTM Performance in Time Series Forecasting Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:55.150830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b8155ce-e0b9-40fb-b8d3-9e54840ea87b · outbound

This paper cites N¨ urnberger.Approximation by Spline functions.

KAN vs LSTM Performance in Time Series Forecasting N¨ urnberger.Approximation by Spline functions

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:55.221779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f01982d4-47a8-4e1d-9682-cdb238cd996f · outbound

This paper cites N¨ urnberger.

KAN vs LSTM Performance in Time Series Forecasting N¨ urnberger

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:55.294519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b4c071e-77f3-46ed-a24b-9b2f37d5e58f · outbound

This paper cites Comparative Study of Predicting Stock Index Using Deep Learning Models.

KAN vs LSTM Performance in Time Series Forecasting Comparative Study of Predicting Stock Index Using Deep Learning Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:55.402860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9b89611-4486-4ef2-bb78-eb1a1f2cce64 · outbound

This paper cites Opening the black box: the promise and limitations of explainable machine learning in cardiol- ogy.Canadian Journal of Cardiology, 38(2):204–213, 2022.

KAN vs LSTM Performance in Time Series Forecasting Opening the black box: the promise and limitations of explainable machine learning in cardiol- ogy.Canadian Journal of Cardiology, 38(2):204–213, 2022

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:55.511377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 190fa10e-6ec9-4b3e-b52f-87577f892ee1 · outbound

This paper cites The perceptron: A probabilistic model for information storage and organization in the brain.Psychological Review, 65(6):386– 408, 1958.

KAN vs LSTM Performance in Time Series Forecasting The perceptron: A probabilistic model for information storage and organization in the brain.Psychological Review, 65(6):386– 408, 1958

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:55.594186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9134c5b4-8cbc-493b-bc79-494a019c149f · outbound

This paper cites Learn- ing representations by back-propagating errors.nature, 323(6088):533– 536, 1986.

KAN vs LSTM Performance in Time Series Forecasting Learn- ing representations by back-propagating errors.nature, 323(6088):533– 536, 1986

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:55.698627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea149da8-97a9-4bea-bf2a-498d61e54362 · outbound

This paper cites Stock price forecasting with deep learning: A comparative study.Math- ematics, 8(9), 2020.

KAN vs LSTM Performance in Time Series Forecasting Stock price forecasting with deep learning: A comparative study.Math- ematics, 8(9), 2020

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:55.794662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 544c5a23-4485-480d-9982-e10b0e1ce958 · outbound

This paper cites Characterisation theorem for best polynomial spline approximation with free knots.Trans.

KAN vs LSTM Performance in Time Series Forecasting Characterisation theorem for best polynomial spline approximation with free knots.Trans

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:55.943908Z

Source-reported events for the cited work

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Observation e419315e-d477-41aa-80c2-bdb8746c1bc6 · outbound

This paper cites Wang et al.

KAN vs LSTM Performance in Time Series Forecasting Wang et al

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:56.103021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 146363a4-37a9-4597-93f8-633dfdba0a0e · outbound

This paper cites Roshan Zamir, N.

KAN vs LSTM Performance in Time Series Forecasting Roshan Zamir, N

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:56.258320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bddf2b46-3c00-4146-bcc1-d0b8731dba75 · outbound

This paper cites Zhang et al.

KAN vs LSTM Performance in Time Series Forecasting Zhang et al

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:56.384107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ab8a827-0e20-4606-9a80-e39ebac22a7d · outbound

This paper cites Kolmogorov-Arnold networks: a critique.Medium, 2024.

KAN vs LSTM Performance in Time Series Forecasting Kolmogorov-Arnold networks: a critique.Medium, 2024

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T20:42:56.494444Z

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Pith citing papers

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