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Paper Citation Record · LEDGER

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

As of 19 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 2026-08-19T06:32:44.657259+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=sha256:588a3a9af91975c4e493810a38cfaf7a73a489c3521bcd886895453f577a1d2d

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:b700af99574091aa5645d1be5a1e8df3af1fbd87f08e5a9228a2de520c0298a7

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=sha256:4ad081e9ab2bc6f31bf353d0e508a35919f2402241a90e741c14017f0b3932c6

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=sha256:7f6db32a99d903010f937e27d7d010f9cc4e2a45b88d5d7eeea39eaa966460f0

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=sha256:605d724a16899db6ac5128c8af65b35b3bcf09c16355d010800aa14c74325b97

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=sha256:6dd4904f8ee9a84b7b55b81b6e2beb9d80b3c71b864a90cf0b54c1c6bc282aa4

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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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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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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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:fea841a5be566fa307c31fe43c6e56f301ce43d5ab266db9ffcdcd0d47e1a022

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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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=sha256:5b4117ed5ae32b6473b5a927fa27b9dbfda0a380a5449e5916637bfec077e92a

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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source=arxiv_source observed=2026-08-04T16:32:36.315695Z digest=sha256:e34a28336dfbfa07539032d63b884e7e09dac215d99dc2531245a98791c2993d

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=sha256:5bb6510833269e9fde72722f94b03e98fb3514eb6219d79e36e5e00a46bffc8d

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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source=arxiv_source observed=2026-08-04T16:32:36.325241Z digest=sha256:0900709ae38b2b9bc2436209bf2a7766d48cec607955ac840344a3853ad2b190

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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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:db429800ab1d67b9b08553e04f0f66ad28ca7f9effdfc68c691999d7fa59d6f0

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=sha256:9566a9117fef4531fb2d4849033f31a58189982b8f3684141be384f512accd6a

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=sha256:55e436b58422e98ebd8d636f2e8bce7bdb57d186d629c15659648e879128f4a7

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=sha256:47bb2b41c756cde6733a6a3102181f808c7cc276eb114083536d25fb118d3b7c

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=sha256:02744e760f572e99c3e59f8bd5c8328b2ce42cc31a7ab56516d7b8b872b11c99

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=sha256:31d21cf97aa1d9d2db1dd18c8a703b19cf45d3f82b60d2545708f65cada1c1c9

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:c90f945ab7622c710ed79aca5134245b75ef2ba97e5fe4f8d5634bd956c5ad44

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=sha256:6687e7330e5ccf0d991971e8feb046fe0ef6cef7df4a013ffcc2cd98232b1039

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=sha256:74c552ded949ff6f7ca7d0c59daf57da63ce2d1f64a32e899f5b16621ac55008

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=sha256:7ca79c1bc5c4ef1551af7ef795c49be4da921c312b257a71dfdc0a4f3b3e195b

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=sha256:698be55e984909e60c4b56df74b2bf5159e64faf9d000b2e589a068a62306993

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=sha256:85c1b40003970a5a9220d49a1f9572368b7ccf1ae55531d5520ac438c5dd886b

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=sha256:04fabe73aaabdb6b9358bedf6aa915b8e8ecdde8b830a12d6bfafaffd458dac9

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=sha256:79c04b81a2d4c00344b73f3e6b331ff7eccde292e5d4c76bd428737e87c67d5f

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:b09155e67514aab357da3ddfcd35b6ea4ec9408310b23f7744382a095c86e4bb

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:ba2b3d5ca39df21e4160a002adbb8c55a10428a2f1830461500082845f7408a3

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:a4652e333c1978911d327b38b89c8258b5f0ba58e751f5f22690ee8bcf5f49e8

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=sha256:5c3a7a5880384554a7b6da96dabf9fd5c017609147be80a604bd61d63a90ea75

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:c6e7dd2ac8e2fdd27a8e5539fee0703554e240926f4fa8cf6e117d6310462e94

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=sha256:7c6c43e173de5ad5c622fcddbd83b65d855e60721dce5e65cf5658f18d136bb9

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=sha256:5578e96e0b3ed3f5467fe900062ae271663aba11d1e2c72dce558ffc51175236

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=sha256:53bf31cbb32e6302eb43eadc410096793974147669ec3a79b226606813ab8bfc

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:eaeeb5cfa4d30739622212b85c7d9a54acbd9334d01047df12cd55cba9507928

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=sha256:5d09fd717dff7abf1af5e00e9aec2ea0262c7d3283072565b29ade4c8f011952

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=sha256:501b4d480db66ec0e855e0219e98a49064fd56e90d6cd3f3e083d94330ebe9d2

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:c287c42f058070993cbda30ffc815e10809559c4c8aff60eb2580e9a080d694a

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:b0844e2182e6d12338ebb8748d02dcaf4339055e310034e8f276081ad19fa031

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=sha256:3e6d8a234a3eb2cef7eabae636f6ddad3e4d87e254f5e9705790d8211be629cd

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:dc4182468e4a2231ee7c35cee36abdabcdccb6c9a055a72f9b3fb1850761926d

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:f8042758529ee942ea7a72bea43a7ad581dc2764e19559e48e11fe2827fa5ce6

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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doi, observed 2026-08-04T16:33:37.070807Z

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source=arxiv_source observed=2026-08-04T16:32:36.426843Z digest=sha256:4bafae885bcbf02430ccdbe5453a1b155e7253f8c62be3383144bc95d579731d

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:e746b0025ede123b263bed9555f76f91e039dcd9ddee92a1f887e6d9a068dc60

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:ec2811d84e6184cee4c2ba9b35a57fcd94861a1a4273e3f8ed0ef0aea20cfb9e

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:d24a7ff1647821de8f6539197b2e4405e29c6c0761321452e787983b61ba949c

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=sha256:476e3642562cd1a884520261b1b282749e1590e6d1a57b8f92025e7717525adc

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=sha256:2b4c7cb5f2fa90f66918da03e32d241404c8c8316d2393be4e858875a0a3e7e8

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=sha256:502ad58712080943370c8ee4923b32989ba8e7ebddf7f94b69c82389572cb00d

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=sha256:73682bbec00c07a0cdf94c125ea5c8a4e2b9c12305de44f7e6ee0cc3a6ce2e2c

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=sha256:99fcb9e3a6a32f9bdbdd915071fc6cb1fd79112403f9ca4714dfd572f408aac3

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=sha256:05623946abb80f5c1a9b65657157a4b41d71b5f8c10064bdebc846a0533ad9ee

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:e10aa401bd06a25acea5b12639a0ff19744160bd9c8d588c2c48be2a6019cb36

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=sha256:8ded3ddccd067e18d869880602577c0b773de573c69fe3dc69bebf3014bac11c

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=sha256:826e96450bd36bf02b0501ea620fb02ff65de1cdcf0f846807d5dbe46f7142b5

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:bef71f669dbbc2065d4db9403c06ba5fbedb727bf6e7b2fc98d9171d85785fcf

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=sha256:2f36652f7da41d6b6b82f22ac3f352eae587df4e0efe3b927da35cba4b3ddb6e

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=sha256:8a300603f11a8f28e4f4de67645cc6be1b305ce7b8a0957e1727bffa83db4fd9

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:ae22bd5d144097692c4e4028e5f71b30cfafc82659de801a265909ac75199c0d

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=sha256:5e1d53312e13c4730f4002d9a2472c288dc3fe1a7c831f264a95325c5681c6e5

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=sha256:5368f6bea7457d3ea0b63b966acc821e67cccd0b9f68c0277b57a2c83ecdbd36

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=sha256:5ea86a6d3e88bd696412bf95a65cbf2218862116035658b7c4bda43440efb336

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=sha256:57c9325f5a6374436521e4ae1faac79580780374da6f7ce48f387adb6be64f89

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:af34131e7555b6bf4ec2cc0dd5ebd1f51e22a61d8a8391218228c9db84607dd6

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:ecc48846f49f3c94f8123138d11d74e2caee1aa4012a5f0420cf3093690d2e00

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:c1136a4eac4bfba4732c22533c57a77158e0ef43d53822afe9fb0b6a10a6448b

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=sha256:0e1d8bdba2c89b24c70e9bb6ae94d4a045b0bcc4616fdb42cc35b0da7636552a

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=sha256:5d46ed91e75df0568352221d6663dcbc6ec901e7a5c2bece974704ff3f3ebb35

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

Resolution
verified exact
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T03:29:15.570760Z digest=sha256:8e5fe52614714fed954d28a630950ca71b473a942e575f5636ddcec96cc4186b

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

Resolution
verified exact
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T18:11:29.380162Z digest=sha256:872235f477ff64e85f35a74d9c00755e75d42080bde0a04bb60e566a6eabc1d7

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

Resolution
verified exact
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-11T02:00:27.185384Z digest=sha256:8af161dfd22049e5cf830796130b85c8a538b6d4ccf96b742d39667d65f8cc51

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

Resolution
verified exact
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T08:11:58.814905Z digest=sha256:ad00b1d1f488a6299cc5aabaeb7d07a7a3a7ecaeb0c81aede6dc810f4f1253dc

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

Resolution
verified exact
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-26T08:09:31.308863Z digest=sha256:e897c231e9b2aba2cc94e702055cfe823c151c02b2eeec030dc5a43d01dcc8e3

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

Resolution
verified exact
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T04:50:31.803915Z digest=sha256:0ca0f3f777b9ab7472ce8fdab30c4492a0f7e8e124df53face0fe986a095bf3b

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

Resolution
metadata mismatch
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-07-03T11:43:16.980123Z digest=sha256:c7feb0860b6c12ccfdc2768b9e2a679e1aedabcdaf43a01ad37c430651c1461a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T04:15:55.665065Z digest=sha256:b9df0c54926ced210f036eccf76735693056bf72bf9a69ee978933cf2650d5ab

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T22:38:16.752489Z digest=sha256:50955c7500457fab74020079791dbdf7e2d380f37d96a20832b024bdb60cd340