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Paper Citation Record · LEDGER

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform

As of 22 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2501.15223.

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

pith.paper-citation-record.v1
2501.15223 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:36:04.527568Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

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Source: cited_works

Reference resolution

24 of 24 outbound references displayed

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External citation measurements

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Outbound references

Observation df4f7feb-ab8d-4e31-b8f9-088445a91040 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform KAN: Kolmogorov-Arnold Networks

Reference 1

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Observation 5e0c4e0b-daa4-4553-9e5d-34b0c5ca441a · outbound

This paper cites Scientific Reports 12(1), 3663 (2022).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform Scientific Reports 12(1), 3663 (2022)

Reference 2

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Observation abab41a2-bfdc-4f0b-9fb5-834b8ce6ead5 · outbound

This paper cites In: International Conference on Learning Representations (ICLR) (2015).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform In: International Conference on Learning Representations (ICLR) (2015)

Reference 3

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Observation 2ffb41b1-beca-4d14-9489-a3ec80561ab8 · outbound

This paper cites Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps.

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Reference 4

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Observation 5b46b4cf-24ad-44e1-8138-be455cccfcd0 · outbound

This paper cites Advances in Neural Information Processing Systems 31 (2018).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform Advances in Neural Information Processing Systems 31 (2018)

Reference 5

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Observation 9ee7e40f-0201-4286-a71a-7ef2aa78374b · outbound

This paper cites In: International Conference on Machine Learning (ICML) (2018).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform In: International Conference on Machine Learning (ICML) (2018)

Reference 6

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Observation 242d1132-c735-4c7b-8c02-7d55ae3ad62b · outbound

This paper cites In: International Conference on Learning Represen tations (ICLR) (2017).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform In: International Conference on Learning Represen tations (ICLR) (2017)

Reference 7

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Observation c6af62cb-ebe1-4f4d-b5f0-1ba2415884d8 · outbound

This paper cites Nature Machine Intelligence 1, 206–215 (2019).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform Nature Machine Intelligence 1, 206–215 (2019)

Reference 8

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Observation 03560f0b-e064-499a-a6fa-30fb69a84743 · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform Towards A Rigorous Science of Interpretable Machine Learning

Reference 9

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Observation 0ddcb132-3813-4d34-b515-fdd3df240a6d · outbound

This paper cites : Explaining nonlinear classifiers with layer-wise relevance propagation.

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform : Explaining nonlinear classifiers with layer-wise relevance propagation

Reference 10

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Observation 01dbef85-a6d9-43a0-8a06-e94f4d11307c · outbound

This paper cites : Why should i trust you? explaining predictions of machine learning models.

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform : Why should i trust you? explaining predictions of machine learning models

Reference 11

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Observation bcbcfc7a-0762-4e17-82f9-4220336e4f3c · outbound

This paper cites arXiv preprint arXiv:1 706.03762 (2017).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform arXiv preprint arXiv:1 706.03762 (2017)

Reference 12

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Observation cc35a614-be6d-4c9b-9766-d6443160b5f7 · outbound

This paper cites : Explaining explanations: Interpretability of machine learning.

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform : Explaining explanations: Interpretability of machine learning

Reference 13

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Observation 22891c4d-0650-4280-b726-8b887ce7b083 · outbound

This paper cites : Explainable machine learning for scientific insights and discoveries.

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform : Explainable machine learning for scientific insights and discoveries

Reference 14

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Observation 56c8518a-fc84-4db5-bc13-d15711783368 · outbound

This paper cites I EEE Trans- actions on Neural Networks and Learning Systems 32, 4793–4813 (2020).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform I EEE Trans- actions on Neural Networks and Learning Systems 32, 4793–4813 (2020)

Reference 15

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Observation 849d95d0-c666-4e23-bb6c-7950e92ba4b0 · outbound

This paper cites John Wiley & Sons, ??? (2012).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform John Wiley & Sons, ??? (2012)

Reference 16

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 62e32f93-1bcd-49b3-a7c5-86e52babe202 · outbound

This paper cites arXiv preprint arXiv:1 705.09792 (2018).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform arXiv preprint arXiv:1 705.09792 (2018)

Reference 17

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Observation c92a3112-dd33-4702-ae91-434a2b490495 · outbound

This paper cites Biome dical Signal Processing and Control 85, 104862 (2023).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform Biome dical Signal Processing and Control 85, 104862 (2023)

Reference 18

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Observation 1603a0a5-ad69-4d8a-b91a-7b8fb23c8680 · outbound

This paper cites : Complex-valued Neural Networks and Wirtinger Calculus.

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform : Complex-valued Neural Networks and Wirtinger Calculus

Reference 19

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Observation 3de9e47e-de15-48b4-900c-2562e3669731 · outbound

This paper cites Neural Computation 33, 900–923 (2021).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform Neural Computation 33, 900–923 (2021)

Reference 20

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Observation 23bc465f-f0db-491d-97b5-1f9c6ad4f987 · outbound

This paper cites Journal of Financial Data Science (2022).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform Journal of Financial Data Science (2022)

Reference 21

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This paper cites IEEE Transactions on Geoscience and Remote Sensing 58, 4237–4246 (2020).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform IEEE Transactions on Geoscience and Remote Sensing 58, 4237–4246 (2020)

Reference 22

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Observation 69bf6839-eed4-474f-b32c-721a8c047ed5 · outbound

This paper cites IEEE Transactions on Signal Processing 69, 3567–3579 (2021).

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform IEEE Transactions on Signal Processing 69, 3567–3579 (2021)

Reference 23

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Efficient and Interpretable Neural Networks Using Complex Lehmer Transform Unresolved cited work

Reference 24

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Pith citing papers

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