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Paper Citation Record · LEDGER

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

As of 8 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 9 inbound Pith citation observations for arXiv:2509.14026.

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

pith.paper-citation-record.v1
2509.14026 v2

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:32:36.502286Z

measured 86 of 86 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T22:38:16.752489Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

77 of 77 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved72
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 54296c24-35b6-4280-a9e0-6f3ba2efed02 · outbound

This paper cites an unresolved cited work.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Unresolved cited work

Reference 1

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source=arxiv_source observed=2026-08-04T16:32:36.265103Z digest=sha256:66af8fd9667da73f384bf51185faebb8ed052b3ec61e6df7e9cf10d55f5e1fa3

Observation 9f9a2d9c-5add-43d1-b9a4-6b34305e2ba3 · outbound

This paper cites fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks fKAN: Fractional Kolmogorov-Arnold Networks with trainable Jacobi basis functions

Reference 2

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source=arxiv_source observed=2026-08-04T16:32:36.269131Z digest=sha256:138404caf4682738fd9e4d5b379922455386066b9cfc623237cb863c4c85c5e1

Observation dcc94256-a9ce-40a3-aae6-e1b18504774b · outbound

This paper cites Learning Activation Functions to Improve Deep Neural Networks.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Learning Activation Functions to Improve Deep Neural Networks

Reference 3

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source=arxiv_source observed=2026-08-04T16:32:36.272736Z digest=sha256:42a4bb38835d61b1f94984119a7af41355d83ab1fa8375c618967c5bd56c09e9

Observation 98386b57-8d76-4b20-8527-9ace7c73e939 · outbound

This paper cites Pytorch 2: Faster machine learning through dynamic python bytecode transformation and graph compilation.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Pytorch 2: Faster machine learning through dynamic python bytecode transformation and graph compilation

Reference 4

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source=arxiv_source observed=2026-08-04T16:32:36.276202Z digest=sha256:edc5241bdfa903dbbb21b3ec5bdb5d24dc89054a154743ec7523c91ecd09e33d

Observation aa890945-4bcd-4cc2-a5d0-ac305557acab · outbound

This paper cites A survey on modern trainable activation functions.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks A survey on modern trainable activation functions

Reference 5

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doi, observed 2026-08-04T16:33:37.475542Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T16:32:36.279228Z digest=sha256:d25cd27b2fb3401bd64be0b598fe2e7dd63def8c2e82c836fe7e53fde097f52c

Observation 63747110-5abf-4122-9750-ec9bd3a26440 · outbound

This paper cites Quantum machine learning.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Quantum machine learning

Reference 6

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source=arxiv_source observed=2026-08-04T16:32:36.282805Z digest=sha256:7d8da3a490e514d72971400e9915eff2e7d79be7dd55d17326962f3ad4e207f5

Observation 20de040d-ec4b-47e9-8670-533fcbad922d · outbound

This paper cites Wav-KAN: Wavelet Kolmogorov-Arnold Networks.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Wav-KAN: Wavelet Kolmogorov-Arnold Networks

Reference 7

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source=arxiv_source observed=2026-08-04T16:32:36.286989Z digest=sha256:417dc9e5e516a9a362aafcf8f534c4fccea3ea8c1f72b67f5da51ad8820d088a

Observation 3fd82768-d0d0-419b-84f2-5593da231f39 · outbound

This paper cites Language Models are Few-Shot Learners.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Language Models are Few-Shot Learners

Reference 8

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Observation 4143b903-5cd4-418c-ad41-226f0b0ce1aa · outbound

This paper cites Introduction to Quantum Machine Learning and Quantum Architecture Search.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Introduction to Quantum Machine Learning and Quantum Architecture Search

Reference 9

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source=arxiv_source observed=2026-08-04T16:32:36.294205Z digest=sha256:60cf867d1d9fb856cacc576e9f8a63bd16dc3f9cc60cbd4d3962fb14b04833f6

Observation c1a75790-1ccd-4dcb-8739-1d391c668d61 · outbound

This paper cites Federated quantum machine learning.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Federated quantum machine learning

Reference 10

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source=arxiv_source observed=2026-08-04T16:32:36.297453Z digest=sha256:91d09752619b7e74b4528cf7189af47c26bbca9ad7e9868ca3137aa37b1b88d5

Observation 1ddf1b58-e50b-45a2-ad65-723f45f40208 · outbound

This paper cites Variational quantum circuits for deep reinforcement learning.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Variational quantum circuits for deep reinforcement learning

Reference 11

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Observation 0225c6ec-c534-4ab6-b127-f078067892eb · outbound

This paper cites Quantum machine learning: a classical perspective.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Quantum machine learning: a classical perspective

Reference 12

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source=arxiv_source observed=2026-08-04T16:32:36.303887Z digest=sha256:a10c0cc5d7abe5cb96fc2f18a7fcda6da849e38f38c3c62b667080f80c6a8766

Observation b4ce858b-8e06-4f0e-b121-26ad12240766 · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 13

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source=arxiv_source observed=2026-08-04T16:32:36.306703Z digest=sha256:99dae644627572eb3139d04552860e1ad23817d4a1f7f749e6c2fdce6449cab8

Observation 123a1e13-fc30-4d2f-8be5-a512b6836e8e · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks The mnist database of handwritten digit images for machine learning research [best of the web]

Reference 14

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source=arxiv_source observed=2026-08-04T16:32:36.309804Z digest=sha256:15dc85dc9ad8336059ed9e73e867f735c0bd9ee7674d72e2eb8c5a13e7aa43e1

Observation b1fb6f42-ab3b-421c-90a6-4e1ac1cfd7cf · outbound

This paper cites Quantum machine learning: A comprehensive review of integrating ai with quantum computing for computational advancements.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Quantum machine learning: A comprehensive review of integrating ai with quantum computing for computational advancements

Reference 15

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Observation b42f1999-1ecb-4393-8425-d4cc1529a6a1 · outbound

This paper cites B-splines in machine learning.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks B-splines in machine learning

Reference 16

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Observation bc879a32-6527-41ae-a00f-ed026aa882aa · outbound

This paper cites Taylor, and Hans J.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Taylor, and Hans J

Reference 17

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source=arxiv_source observed=2026-08-04T16:32:36.319036Z digest=sha256:d75c771195f38fe6ef7c9e91d9ccadd568c0fb10312760d18f7a57d10f9edb3e

Observation 18865a4d-e34d-45d4-ad3e-40bbbf6f9a62 · outbound

This paper cites Classification with Quantum Neural Networks on Near Term Processors.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Classification with Quantum Neural Networks on Near Term Processors

Reference 18

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Observation 34bb14e1-30ba-4583-bfad-680d58ac1222 · outbound

This paper cites Kan-gpt: The pytorch implementation of generative pre-trained transformers (gpts) using kolmogorov-arnold networks (kans) for language modeling, May 2024.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Kan-gpt: The pytorch implementation of generative pre-trained transformers (gpts) using kolmogorov-arnold networks (kans) for language modeling, May 2024

Reference 19

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Observation 51c3c253-1e26-41cd-9ed5-e439d97934fe · outbound

This paper cites TKAN: Temporal Kolmogorov-Arnold Networks.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks TKAN: Temporal Kolmogorov-Arnold Networks

Reference 20

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source=arxiv_source observed=2026-08-04T16:32:36.327923Z digest=sha256:ef02bc9a6739157846e3241a1a456c2771b628a6a35b725587f99af253733466

Observation de351cce-0015-419b-91d7-9547ec365e6b · outbound

This paper cites Representation properties of networks: Kolmogorov's theorem is irrelevant.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Representation properties of networks: Kolmogorov's theorem is irrelevant

Reference 21

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source=arxiv_source observed=2026-08-04T16:32:36.331013Z digest=sha256:6f01802f54b7f828015368e3ddc2fca47f660712bbb6d178faf7e3c43b32cf65

Observation f8891a39-2cdd-4060-892c-e69d440b64ce · outbound

This paper cites Harrow, Avinatan Hassidim, and Seth Lloyd.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Harrow, Avinatan Hassidim, and Seth Lloyd

Reference 22

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source=arxiv_source observed=2026-08-04T16:32:36.334516Z digest=sha256:6184a886bce1722fd192743d9c9f559895d577e9ef20925ae664313d1d154e10

Observation 06e38403-749d-4412-b2be-b1fa95e6e520 · outbound

This paper cites Delving deep into rectifiers: Surpassing human-level performance on imagenet classification.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Delving deep into rectifiers: Surpassing human-level performance on imagenet classification

Reference 23

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source=arxiv_source observed=2026-08-04T16:32:36.337496Z digest=sha256:6372a295f6e985ac05ab1382fcc9ecda3847d052481236b95db5eae576473400

Observation 025a93f9-cad8-45e6-8cf3-fea956a71fdf · outbound

This paper cites Howard, Bruno Jacob, Sarah H.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Howard, Bruno Jacob, Sarah H

Reference 24

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source=arxiv_source observed=2026-08-04T16:32:36.340473Z digest=sha256:a837c1b52b0e56b907bb7f1098f44f4d3c022067313686aab2b5c1d114df5031

Observation 341838db-3b4b-4557-8724-7828c9fc41ac · outbound

This paper cites Enabling non-linear quantum operations through variational quantum splines.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Enabling non-linear quantum operations through variational quantum splines

Reference 25

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Observation f391109f-4582-4a73-8ceb-6a3fe33d30f6 · outbound

This paper cites Fiderer, Hendrik Poulsen Nautrup, Jonas M.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Fiderer, Hendrik Poulsen Nautrup, Jonas M

Reference 26

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source=arxiv_source observed=2026-08-04T16:32:36.346229Z digest=sha256:dc543efcab9a19c287f556df09c34433706a0c645b517b206697e2a7a8ee3a5f

Observation e33a7824-5a5e-4be1-848f-297629b1986a · outbound

This paper cites Quantum-inspired kolmogorov-arnold network, 2025.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Quantum-inspired kolmogorov-arnold network, 2025

Reference 27

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source=arxiv_source observed=2026-08-04T16:32:36.349159Z digest=sha256:50a9f0e6d9e7d66230360f585dfd13877b281096f8891a10507461cb7eff7dbc

Observation 876328e0-fa0e-40fc-9199-021463d33bbe · outbound

This paper cites nanogpt, 2022.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks nanogpt, 2022

Reference 28

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source=arxiv_source observed=2026-08-04T16:32:36.352190Z digest=sha256:df374bb8a42b48c8076b137b8ea8198d13ea359be3647d64c377717502238f60

Observation 9a2ccb1f-eb72-4d5e-8d2e-af49fcb64472 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Adam: A Method for Stochastic Optimization

Reference 29

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source=arxiv_source observed=2026-08-04T16:32:36.355038Z digest=sha256:66dee5c59ab73025d48fccd0406e27f1245102a85f44a26a231f6a61dd14f804

Observation 0c2366b6-93e0-49b0-8f71-bebc2fade8d9 · outbound

This paper cites On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks On the representation of continuous functions of many variables by superposition of continuous functions of one variable and addition

Reference 30

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source=arxiv_source observed=2026-08-04T16:32:36.358122Z digest=sha256:a198b73d15b7df46e30a61d3ecaba344c5a608fe3bee2c024354a2796bf0ece8

Observation ce67ddae-f79c-4dc9-9b86-77b73062dd7c · outbound

This paper cites Learning multiple layers of features from tiny images.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Learning multiple layers of features from tiny images

Reference 31

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source=arxiv_source observed=2026-08-04T16:32:36.360798Z digest=sha256:d628ef5b7971646f2b63accb6492913084936defe2f55ec4d4373388a6d434bc

Observation bb18f6fd-49db-48ab-a563-d56eeb95ab69 · outbound

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

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation

Reference 32

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source=arxiv_source observed=2026-08-04T16:32:36.363499Z digest=sha256:ac845bddc99dd4055531d852651e6c6a468d9aa16a833cc382e187280f218994

Observation acee9cb9-2e0a-4972-b11b-5b45ae08a77c · outbound

This paper cites Quantum-inspired activation functions and quantum Chebyshev-polynomial network.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Quantum-inspired activation functions and quantum Chebyshev-polynomial network

Reference 33

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source=arxiv_source observed=2026-08-04T16:32:36.366903Z digest=sha256:d7da089ad9b171ff498b517a5003ca8948bb99e59feb0c466e5b9f1f103d6f5f

Observation 69cbee91-6f12-4cee-ae95-4bfc73b9c6f3 · outbound

This paper cites Kolmogorov-arnold networks are radial basis function networks, 2024.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Kolmogorov-arnold networks are radial basis function networks, 2024

Reference 34

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source=arxiv_source observed=2026-08-04T16:32:36.370447Z digest=sha256:ac34f68b6e528b866a8539e44dc77a5cd8356f012f6ac87def1c7ee25dad9b0e

Observation ce2d9520-fd3d-44e8-944e-04b8f89d3bc4 · outbound

This paper cites Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective

Reference 35

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source=arxiv_source observed=2026-08-04T16:32:36.373372Z digest=sha256:8e61a3adee70ab9e6d284ad3e5d424466f9708d9f8d659a82ffc422d0557c5ae

Observation 02d8049c-3231-4318-9dcd-44fbf56f556f · outbound

This paper cites Liu and Jorge Nocedal.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Liu and Jorge Nocedal

Reference 36

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source=arxiv_source observed=2026-08-04T16:32:36.376793Z digest=sha256:0e22633024a7094b249bb7e0f062d87e6d45d6f36035e9ea71c06a2318b06ad8

Observation 4366452e-1f79-4088-869f-6cc92c492384 · outbound

This paper cites KAN 2.0: Kolmogorov-Arnold Networks Meet Science.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks KAN 2.0: Kolmogorov-Arnold Networks Meet Science

Reference 37

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source=arxiv_source observed=2026-08-04T16:32:36.379686Z digest=sha256:be82358900fdbb0221d761ee8ec08d8fde0d79218cddcd20ae477a916ebb7d53

Observation 208e75d5-8ee8-40f7-b199-7e32e87954db · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks KAN: Kolmogorov-Arnold Networks

Reference 38

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source=arxiv_source observed=2026-08-04T16:32:36.382760Z digest=sha256:addc25c26c70d6550da4f1c4142bc70b640eb6b0fdf18ba8188c24b472a6243a

Observation f34086c3-7785-4fe7-8068-cd1231b0a5aa · outbound

This paper cites Decoupled weight decay regularization.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Decoupled weight decay regularization

Reference 39

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source=arxiv_source observed=2026-08-04T16:32:36.385695Z digest=sha256:f182ace574ae1b9d5b0e306fc94fa9b91c0d58a234878c1acb911d3f08c65c6c

Observation 8ec1fd97-5bdc-4835-a0c3-6f0a5a1545f8 · outbound

This paper cites Bromley, Josh Izaac, Maria Schuld, and Nathan Killoran.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Bromley, Josh Izaac, Maria Schuld, and Nathan Killoran

Reference 40

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source=arxiv_source observed=2026-08-04T16:32:36.388508Z digest=sha256:cc47e4290540c440671bb46199e16653e35a8687ffb60ad7c775bde0690bbbf0

Observation 0d4b745b-fcf2-463b-b9f4-4abd731ea0b5 · outbound

This paper cites Barren plateaus in quantum neural network training landscapes.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Barren plateaus in quantum neural network training landscapes

Reference 41

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source=arxiv_source observed=2026-08-04T16:32:36.391851Z digest=sha256:0c7cbe81ac67ceb5afdcb9127c07989cb43114d2c74da16f5cffba2b86713d5a

Observation 1a9c1e3e-6531-439d-bcc0-d84b3e329013 · outbound

This paper cites Exploiting symmetry in variational quantum machine learning.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Exploiting symmetry in variational quantum machine learning

Reference 42

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source=arxiv_source observed=2026-08-04T16:32:36.395081Z digest=sha256:0776b4a402da02400112a79b27bef45b05b7b93485950010a92da81a05799aef

Observation 2ab0edee-7669-48ce-9169-c2889f36456b · outbound

This paper cites Mitarai, M.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Mitarai, M

Reference 43

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source=arxiv_source observed=2026-08-04T16:32:36.398090Z digest=sha256:5cc0bdf628dba33bbbdebca9362142bee817a177c04cd91566263263b5f39ae5

Observation 5e6fd589-5005-4378-87f1-419115398011 · outbound

This paper cites Pad \'e activation units: End-to-end learning of flexible activation functions in deep networks.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Pad \'e activation units: End-to-end learning of flexible activation functions in deep networks

Reference 44

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source=arxiv_source observed=2026-08-04T16:32:36.401039Z digest=sha256:240fd2a0c47e78269f1776eec9a568f0063acca2f8e0c5ce4f3d8fb84e940b9b

Observation 99ac26e3-48c8-4492-813c-ba875de833c3 · outbound

This paper cites an unresolved cited work.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Unresolved cited work

Reference 45

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source=arxiv_source observed=2026-08-04T16:32:36.404522Z digest=sha256:b3076e14cac7eb7f768ef81d63d7966d7532303483774ad2a597100902244100

Observation 03ecadcc-49c1-49a8-b5bc-dec1c9ee724e · outbound

This paper cites Quantum machine learning: Benefits and practical examples.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Quantum machine learning: Benefits and practical examples

Reference 46

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source=arxiv_source observed=2026-08-04T16:32:36.407572Z digest=sha256:c64bb116d0ded77a4c11dccfb13ff8ecbf57bd8332286484fc194b3d41e9eca8

Observation 0505311e-3047-4e71-8d71-fde4a9c111cb · outbound

This paper cites Theoretical issues in deep networks.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Theoretical issues in deep networks

Reference 47

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source=arxiv_source observed=2026-08-04T16:32:36.410642Z digest=sha256:61b45fb1667239e24d57ea724adde531c6362faf49c9ab323bcafd2059f959c7

Observation 453fcdfa-b28b-4c0d-9c1f-9c0383ebd0c9 · outbound

This paper cites Quantum C omputing in the NISQ era and beyond.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Quantum C omputing in the NISQ era and beyond

Reference 48

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source=arxiv_source observed=2026-08-04T16:32:36.414373Z digest=sha256:e108266161efc84347a220a2d7f95c5e6d2225f98cc9bcea4c069983fbe6c451

Observation a9f242ac-f7eb-4d28-aba1-315c2762cca3 · outbound

This paper cites an unresolved cited work.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-08-04T16:32:36.417527Z digest=sha256:9f76c857d56bfbd9af554983154c0d0102edae1e8f0895893482fe37dccfe546

Observation e3d9fa75-33cf-4ed7-93a3-93b0b3d66f85 · outbound

This paper cites gpt-2-output-dataset.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks gpt-2-output-dataset

Reference 50

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source=arxiv_source observed=2026-08-04T16:32:36.420907Z digest=sha256:7295499586f23181df17e424d5a9b94c36310eff7e385bc6ea3d9ac02ea51652

Observation 79aac681-3ec7-4ec1-886c-380f5dcefff5 · outbound

This paper cites Searching for Activation Functions.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Searching for Activation Functions

Reference 51

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source=arxiv_source observed=2026-08-04T16:32:36.423600Z digest=sha256:4673c566ab464d3ef75739cd745f369c3f632f446959f56a70de489afd0aee03

Observation 7d51032a-bdf2-4162-b893-f56ba846820a · outbound

This paper cites Rower et al.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Rower et al

Reference 52

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source=arxiv_source observed=2026-08-04T16:32:36.426843Z digest=sha256:a7356cab61feb1df41b26c2eb0b5a73ff73d158effdd6f330ac4a01d3d18b626

Observation 4e5c9e1f-fdca-4550-8d1e-613e97a7cac8 · outbound

This paper cites Kafnets: Kernel-based non-parametric activation functions for neural networks.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Kafnets: Kernel-based non-parametric activation functions for neural networks

Reference 53

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doi, observed 2026-08-04T16:33:36.906953Z

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source=arxiv_source observed=2026-08-04T16:32:36.429925Z digest=sha256:e6145fa5371e2e6b5ebefb5bb856ac93af5abd04e16fe0833e32a1b84172e613

Observation 7af52c97-0e4f-423f-ab46-bb4d314546b8 · outbound

This paper cites Quantum machine learning in feature hilbert spaces.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Quantum machine learning in feature hilbert spaces

Reference 54

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source=arxiv_source observed=2026-08-04T16:32:36.432890Z digest=sha256:b21bb20bd39bf4f1ec5810632f6850c8ceb9fb7948c2bdbcd8b8b06c38f8548c

Observation c6f4721d-abe2-452c-a15a-091d6227064a · outbound

This paper cites Effect of data encoding on the expressive power of variational quantum-machine-learning models.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Effect of data encoding on the expressive power of variational quantum-machine-learning models

Reference 55

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source=arxiv_source observed=2026-08-04T16:32:36.435693Z digest=sha256:665c306a53c93021842d69bf30d5b0b2feb627f51e9f26c3f57c848141b71b76

Observation 30eedc3c-0e62-4103-844e-391caa75fd1e · outbound

This paper cites Exploring the Potential of Polynomial Basis Functions in Kolmogorov-Arnold Networks: A Comparative Study of Different Groups of Polynomials.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Exploring the Potential of Polynomial Basis Functions in Kolmogorov-Arnold Networks: A Comparative Study of Different Groups of Polynomials

Reference 56

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source=arxiv_source observed=2026-08-04T16:32:36.438979Z digest=sha256:31b4b72efa894fa4ba20c1de6b578467f1df520ffba8ef412dac66e030450d28

Observation f6c522ea-5030-425f-8658-c8da2d1a1f55 · outbound

This paper cites Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Unveiling the Power of Wavelets: A Wavelet-based Kolmogorov-Arnold Network for Hyperspectral Image Classification

Reference 57

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source=arxiv_source observed=2026-08-04T16:32:36.441901Z digest=sha256:c26b16699052c123ef49596eea2791f8daf37dd85fd1f9a6efbed59a6b2ff682

Observation 869ddff4-527a-4e3a-9008-c386733890e3 · outbound

This paper cites Scaling Law for Language Models Training Considering Batch Size.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Scaling Law for Language Models Training Considering Batch Size

Reference 58

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source=arxiv_source observed=2026-08-04T16:32:36.445245Z digest=sha256:76f1f2c5652e397a813f87dc8641d3e0482df11bb5c1bac9b82a54f623b7dc12

Observation ef5159c0-4b52-4fe4-9494-7dce6c45d2e4 · outbound

This paper cites Experimental demonstration of a high-fidelity virtual two-qubit gate.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Experimental demonstration of a high-fidelity virtual two-qubit gate

Reference 59

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source=arxiv_source observed=2026-08-04T16:32:36.448138Z digest=sha256:1d0315b8b13f5d3e935a725e4a53f51570214803e56dd7091fe9b5469ec50dee

Observation 59c3d5de-c7d3-4871-b07f-25a65fe7daf3 · outbound

This paper cites an unresolved cited work.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Unresolved cited work

Reference 60

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source=arxiv_source observed=2026-08-04T16:32:36.450765Z digest=sha256:fd1ac284c1eb2b8b9f52f8938a5ff4b3c5934c026891acbc8bda968e0f44897d

Observation f56a36b6-13a4-407e-81b1-d1fd77181e7a · outbound

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

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation

Reference 61

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source=arxiv_source observed=2026-08-04T16:32:36.453517Z digest=sha256:d8452cb7986bcc88eadf85941d665022f21230842c92e408a4a00fbd3c7acc3f

Observation b4662adf-c3da-45c7-8762-eb5fc8917a55 · outbound

This paper cites BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold Networks.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold Networks

Reference 62

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source=arxiv_source observed=2026-08-04T16:32:36.456237Z digest=sha256:dd3d494145687ac64a15db0b2bb53c79fcd326fc6b2a3afcbb1a45cedf5429e3

Observation bdc21715-c527-4da8-94bc-fa9848186e44 · outbound

This paper cites AI Feynman: a Physics-Inspired Method for Symbolic Regression.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks AI Feynman: a Physics-Inspired Method for Symbolic Regression

Reference 63

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source=arxiv_source observed=2026-08-04T16:32:36.459070Z digest=sha256:360d340ec8323d6d1475801c0a00b6e7348e8fbab43e1460293bd55f2c6ec466

Observation 9d9be12d-b8ea-442d-80d5-2c890879bfa2 · outbound

This paper cites Ai feynman 2.0: pareto-optimal symbolic regression exploiting graph modularity.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Ai feynman 2.0: pareto-optimal symbolic regression exploiting graph modularity

Reference 64

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source=arxiv_source observed=2026-08-04T16:32:36.461790Z digest=sha256:b0cd386fb2672aa2441f6c2bf9f15b868e3e2e66083f20c0525a137f574fa544

Observation 49d70937-80a3-416c-956f-fb907347c03f · outbound

This paper cites Vaca-Rubio, Luis Blanco, Roberto Pereira, and Màrius Caus.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Vaca-Rubio, Luis Blanco, Roberto Pereira, and Màrius Caus

Reference 65

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source=arxiv_source observed=2026-08-04T16:32:36.464518Z digest=sha256:2fddf32969ad07c6b585177fd2281380acca598fb6b4b5fef5f744fd5804ec41

Observation 30436024-268d-438b-90d5-4c6174a12c60 · outbound

This paper cites Wach, Manuel S.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Wach, Manuel S

Reference 66

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source=arxiv_source observed=2026-08-04T16:32:36.467941Z digest=sha256:c43897d78842ac69206946879d828ec57ebd9c986026524f08ea62d442cdf9d4

Observation cf8e27e3-9f62-44f9-a3c5-2bb4a8a6d500 · outbound

This paper cites Adaptive Variational Quantum Kolmogorov-Arnold Network.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Adaptive Variational Quantum Kolmogorov-Arnold Network

Reference 67

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source=arxiv_source observed=2026-08-04T16:32:36.471165Z digest=sha256:98fbe7b264e6c38380b3a06564a3ad73669242cc794a516f37e6a4c9a3da7a3b

Observation 43ef8577-dacc-40aa-8bfb-6142818a5ec3 · outbound

This paper cites Enhanced Variational Quantum Kolmogorov-Arnold Network.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Enhanced Variational Quantum Kolmogorov-Arnold Network

Reference 68

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source=arxiv_source observed=2026-08-04T16:32:36.474507Z digest=sha256:5320588728186350767164bc221eda2c3d440e02e11266c88dd120e5512c7acd

Observation deff53d0-b327-47bd-99b6-dfbee144e216 · outbound

This paper cites QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks

Reference 69

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source=arxiv_source observed=2026-08-04T16:32:36.477558Z digest=sha256:099bc9385b5aeb773716237fcd1d4d470566086cec155fbabb1d43b8f62f99bc

Observation 5cc9266e-258d-4409-b955-efd44a69f33f · outbound

This paper cites KANsformer for Scalable Beamforming.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks KANsformer for Scalable Beamforming

Reference 70

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source=arxiv_source observed=2026-08-04T16:32:36.480536Z digest=sha256:a877186e5bc47a3a648f5123e5f5bb6912fbcb1ffb0c89b9bf54f0a3306d5534

Observation 04b032d5-e545-4525-a666-5b98901d7644 · outbound

This paper cites Kolmogorov-arnold transformer.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Kolmogorov-arnold transformer

Reference 71

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source=arxiv_source observed=2026-08-04T16:32:36.483530Z digest=sha256:8584300392a6a4dfbcb02f5e1a5fc36716181baca81d9e9b069c7da9f0a993f1

Observation f1c50d73-13d4-4abe-b968-05dccdecc632 · outbound

This paper cites Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation

Reference 72

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source=arxiv_source observed=2026-08-04T16:32:36.486726Z digest=sha256:909648140928e99e609fb7bd9ab4ddb9c084b40e3bcd15e1911dd7c01075894d

Observation 86b397f8-b4db-4bf9-8570-4b0ee471d80f · outbound

This paper cites Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability

Reference 73

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source=arxiv_source observed=2026-08-04T16:32:36.489810Z digest=sha256:eba256d99a707967ac3cf0e57b59396234c4ef17c42be3e5dcfdbc94ee56ee5a

Observation 12e94d5f-7d95-4f88-9ef9-62c27397bdb7 · outbound

This paper cites KAN or MLP: A Fairer Comparison.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks KAN or MLP: A Fairer Comparison

Reference 74

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source=arxiv_source observed=2026-08-04T16:32:36.493282Z digest=sha256:9742c17922c271d3338d999daf0ce045bbbeee9cdd5f609527e68d596bd281e5

Observation e83315db-7035-4c00-a588-5244e2ff3459 · outbound

This paper cites Power and limitations of single-qubit native quantum neural networks.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Power and limitations of single-qubit native quantum neural networks

Reference 75

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source=arxiv_source observed=2026-08-04T16:32:36.496498Z digest=sha256:0bf179c244022a26855f825663d2f4b4f8061a2988fe5ae8fe471f6ee4af3e6c

Observation 62d0e84a-e391-4fc6-adf6-6c8976925703 · outbound

This paper cites Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits

Reference 76

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source=arxiv_source observed=2026-08-04T16:32:36.499313Z digest=sha256:ecb388f71bd26ec790cfebd6bbeabb8580b11747ffd5b938491656120e7afacb

Observation 8e9d1bab-a81b-4f1f-8e30-b4c30f95293f · outbound

This paper cites Quantum Implicit Neural Representations.

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks Quantum Implicit Neural Representations

Reference 77

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source=arxiv_source observed=2026-08-04T16:32:36.502286Z digest=sha256:12eba0b681084127b07dbea68ed3dcc76e9567744b411505242bb3d8c92c9acb

Pith citing papers

Observation 67738106-f003-4715-889c-45ecc3a26e45 · inbound

A Practitioner's Guide to Kolmogorov-Arnold Networks cites this paper.

A Practitioner's Guide to Kolmogorov-Arnold Networks Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

Reference 54

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verified exact
arxiv_id, observed 2026-07-07T03:18:49.186634Z

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source=pdf_text observed=2026-05-18T03:29:15.570760Z digest=sha256:4b31ed77e7bf02a5518a5cf2c2cb394409648c5707c1dcbf4dbf82a5db3e4df9

Observation da24eab2-2417-4fe5-9fcc-af98a81dec2e · inbound

Generative Quantum-inspired Kolmogorov-Arnold Eigensolver cites this paper.

Generative Quantum-inspired Kolmogorov-Arnold Eigensolver Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

Reference 44

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arxiv_id, observed 2026-07-07T03:18:49.186634Z

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source=pdf_text observed=2026-05-08T18:11:29.380162Z digest=sha256:577a98a37928fcbecce16b250ad00c871233080209035e4675650c6e4872bebf

Observation 17aeb399-e281-4cb9-8c49-3aedd35f141d · inbound

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

Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

Reference 50

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arxiv_id, observed 2026-07-07T03:18:49.186634Z

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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:cca86079dc221efd0c4d0c93bb07ed8a0f17d5fe13c7d79774cbe81689e2d7cd

Observation fec0db7e-3a04-4199-97e1-f4aae077320e · inbound

Recursive QLSTM with Dynamic Variational Quantum Circuit Adaptation cites this paper.

Recursive QLSTM with Dynamic Variational Quantum Circuit Adaptation Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

Reference 51

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arxiv_id, observed 2026-07-07T03:18:49.186634Z

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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=2026-06-26T08:11:58.814905Z digest=sha256:5ada06a14b7f795376ed571992913eaab7c14a42c6caafa63973962ddd7142da

Observation 88f9d712-c0e1-4541-8bdb-9180b2e13c86 · inbound

Self-Modulating Quantum Fast-Weight Programmers for Efficient Adaptive Sequential Learning cites this paper.

Self-Modulating Quantum Fast-Weight Programmers for Efficient Adaptive Sequential Learning Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

Reference 64

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arxiv_id, observed 2026-07-07T03:18:49.186634Z

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=2026-06-26T08:09:31.308863Z digest=sha256:be2f4c4af1d2c5a89c76b63b123be6b1c47386b090a39c735e9fe135107827da

Observation ce940c4e-0f8f-4db8-b6be-231bad486a91 · inbound

Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting cites this paper.

Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

Reference 38

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arxiv_id, observed 2026-07-07T03:18:49.186634Z

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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=2026-06-29T04:50:31.803915Z digest=sha256:5773c9809798d2803ef051741564cb796e00a8b787aa0b969023a5a1f07db737

Observation b6385122-c9c5-46b2-b877-142b0d0c371b · inbound

Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates cites this paper.

Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

Reference 16

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arxiv_id, observed 2026-07-07T03:18:49.186634Z

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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=2026-07-03T11:43:16.980123Z digest=sha256:6b83f55e985fc2b0975f460d682c3ade50623fb88fdec20082fe09a4b4096729

Observation 7c7f65b1-6527-4f73-9663-68a368b5a012 · inbound

Quantum Kolmogorov--Arnold representation theorem for continuous unitary-valued maps cites this paper.

Quantum Kolmogorov--Arnold representation theorem for continuous unitary-valued maps Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

Reference 19

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no resolver link, observed 2026-07-12T04:15:55.665065Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T04:15:55.665065Z digest=sha256:1da4853dcc184d3b7d30333528995519bce2cbf4ca728c65c3bb7f8b3f14b057

Observation f0cc39d8-963e-4aa6-912c-a73cf2d5f074 · 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 Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

Reference 15

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no resolver link, observed 2026-07-31T22:38:16.752489Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T22:38:16.752489Z digest=sha256:dae4ae16a4221d08839cc6062c968cf4f0bda8e493e46c4c8ac4a3b780532af0