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Paper Citation Record · LEDGER

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:1908.05377.

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

pith.paper-citation-record.v1
1908.05377 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation b1a7e7d7-86f4-4938-addd-ea79c1d0a5cf · outbound

This paper cites A tutorial on energy-based learning,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems A tutorial on energy-based learning,

Reference 1

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Observation 473310f6-c7e9-4240-9c36-bee759ba5747 · outbound

This paper cites Neural computation of decisions in optimization problems,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Neural computation of decisions in optimization problems,

Reference 2

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Observation 1fe5ba8b-d0f6-43ef-aa47-8ee21f45aeec · outbound

This paper cites Edminister, Theory and problems of electric circuits.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Edminister, Theory and problems of electric circuits

Reference 3

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Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Unresolved cited work

Reference 4

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Observation d2759af7-22b3-47eb-a08b-4b71357db6ca · outbound

This paper cites Reactive power compensation technologies: State-of-the-art review,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Reactive power compensation technologies: State-of-the-art review,

Reference 5

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Observation 711593f5-d0e9-42e1-ba6d-0ead6b21d9a0 · outbound

This paper cites Hofmann, J.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Hofmann, J

Reference 6

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Observation 7d2c1e1d-9fd9-4a8d-8a32-915fdeb9f1ae · outbound

This paper cites Decentralized global optimization based on a growth transform dynamical system model,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Decentralized global optimization based on a growth transform dynamical system model,

Reference 7

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Observation 12db156e-4855-457f-ac27-f8358573a054 · outbound

This paper cites Support vector method for novelty detection,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Support vector method for novelty detection,

Reference 8

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Observation 4996ee08-8e94-470c-ad16-80331832f401 · outbound

This paper cites From kuramoto to crawford: exploring the onset of synchronization in populations of coupled oscillators,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems From kuramoto to crawford: exploring the onset of synchronization in populations of coupled oscillators,

Reference 9

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Observation 258872d6-4c80-4c40-abd1-85c87b807e99 · outbound

This paper cites The character of physical law,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems The character of physical law,

Reference 10

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Observation d3b8881c-bf51-40be-8aef-e4e4671eb83f · outbound

This paper cites A unified energy-based framework for unsupervised learning,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems A unified energy-based framework for unsupervised learning,

Reference 11

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Source-reported events for the cited work

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Observation a98de2ce-eadb-43db-bcf7-35180048ac8c · outbound

This paper cites Optimal perceptual inference,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Optimal perceptual inference,

Reference 12

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Source-reported events for the cited work

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Observation 402cf296-b5ea-495f-a3ee-bb61e7ab7c97 · outbound

This paper cites Restricted boltzmann machines for collaborative filtering,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Restricted boltzmann machines for collaborative filtering,

Reference 13

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Source-reported events for the cited work

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Observation c1d760fe-0c4c-484d-8233-26a7046dff71 · outbound

This paper cites Equilibrium propagation: Bridging the gap between energy-based models and backpropagation,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Equilibrium propagation: Bridging the gap between energy-based models and backpropagation,

Reference 14

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Observation ff26ec79-bf06-4570-84fc-06da5a14e5d9 · outbound

This paper cites Learning deep energy models,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Learning deep energy models,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 390a4e86-4147-4b8f-be1c-ccd62c891479 · outbound

This paper cites Deep structured energy based models for anomaly detection,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Deep structured energy based models for anomaly detection,

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4a85b71d-38d3-455f-a91a-142e5cd6a8e3 · outbound

This paper cites Reinforcement learning with deep energy-based policies,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Reinforcement learning with deep energy-based policies,

Reference 17

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Source-reported events for the cited work

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Observation 195bcd60-4ea8-4f2a-9bea-a103cf66b0e0 · outbound

This paper cites Energy-inspired models: Learning with sampler-induced distributions,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Energy-inspired models: Learning with sampler-induced distributions,

Reference 18

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Observation 68f8d6f5-36f6-4e08-ad1d-f46e3620687a · outbound

This paper cites Hirose, Complex-valued neural networks: theories and applications , vol.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Hirose, Complex-valued neural networks: theories and applications , vol

Reference 19

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Observation 3d430536-fcfc-4805-8acf-5ebd76f4e30b · outbound

This paper cites Deep Complex Networks.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Deep Complex Networks

Reference 20

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Source-reported events for the cited work

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Observation 8eaf7ad9-bf29-4241-b660-3f07aafd0da4 · outbound

This paper cites Deep quaternion networks,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Deep quaternion networks,

Reference 21

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Source-reported events for the cited work

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Observation 9b765ee2-bb77-4d2e-8782-75212f55b53c · outbound

This paper cites On Complex Valued Convolutional Neural Networks.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems On Complex Valued Convolutional Neural Networks

Reference 22

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Observation 00b975a3-c53f-47b4-b32d-ac3ed6b8e9fe · outbound

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Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Complex support vector machines for regression and quaternary classification,

Reference 23

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Observation c30a88d5-b846-4218-a98b-5ef833b10a1e · outbound

This paper cites A mathematical motivation for complex-valued convolutional networks.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems A mathematical motivation for complex-valued convolutional networks

Reference 24

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Observation 5474ab67-bc6e-427b-b684-e65f8e1236c8 · outbound

This paper cites Orthogonality of decision boundaries in complex-valued neural networks,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Orthogonality of decision boundaries in complex-valued neural networks,

Reference 25

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Observation 3125abec-822c-47ba-a3a3-eb3846253d6c · outbound

This paper cites Complex-valued restricted boltzmann machine for direct learning of frequency spectra.,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Complex-valued restricted boltzmann machine for direct learning of frequency spectra.,

Reference 26

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Observation b5caee4f-91bf-4c0f-9671-9fb410ad0e40 · outbound

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Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems A general network theorem, with applications,

Reference 27

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Source-reported events for the cited work

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Observation a85c7c68-c19a-4c34-bd5d-b758c0c3401f · outbound

This paper cites The elements of statistical learning: data mining, inference and prediction,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems The elements of statistical learning: data mining, inference and prediction,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3e004efe-45da-4297-ad44-afcd142dd2ab · outbound

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Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Unresolved cited work

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e413804a-e5ff-4171-b704-b90b55737307 · outbound

This paper cites Probabilistic machine learning and artificial intelli- gence,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Probabilistic machine learning and artificial intelli- gence,

Reference 30

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Source-reported events for the cited work

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Observation acb928cd-47f9-484b-8ff2-e9f1f46e4627 · outbound

This paper cites Gini support vector machine: Quadratic entropy based robust multi-class probability regression,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Gini support vector machine: Quadratic entropy based robust multi-class probability regression,

Reference 31

Resolution
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Source-reported events for the cited work

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Observation 84560a79-0520-45b7-bd11-96222b3c5bb9 · outbound

This paper cites Support vector domain description,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Support vector domain description,

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 4b97cd6d-349d-41ba-961f-ee9a0e8b480e · outbound

This paper cites Extended poly- nomial growth transforms for design and training of generalized support vector machines,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Extended poly- nomial growth transforms for design and training of generalized support vector machines,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f1fd51d9-ba42-4ab1-8384-3efc8fc129b0 · outbound

This paper cites UCI machine learning repository.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems UCI machine learning repository

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9a986b81-4e35-4d5f-9db5-08b40ae16431 · outbound

This paper cites ODDS library.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems ODDS library

Reference 35

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Source-reported events for the cited work

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Observation 300f9308-ec9d-447c-827e-9a2cc60363d5 · outbound

This paper cites Computing with networks of oscillatory dynamical systems,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Computing with networks of oscillatory dynamical systems,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:23:28.639686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1c2cbc96-f75f-4aa3-9820-6a79f6849ac5 · outbound

This paper cites Neuromorphic computing with nanoscale spintronic oscillators,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Neuromorphic computing with nanoscale spintronic oscillators,

Reference 37

Resolution
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raw_fallback, observed 2026-08-14T13:23:28.474469Z

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Observation 18b70e21-90df-45de-8db3-11513bd4c23e · outbound

This paper cites an unresolved cited work.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T13:23:27.778869Z

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Unavailable: canonical work link unavailable.

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Observation b8e3e89f-7ae6-4820-badf-a339a61c91ed · outbound

This paper cites Continuous- time optimization using sub-threshold current-mode growth transform circuits,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Continuous- time optimization using sub-threshold current-mode growth transform circuits,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:23:28.383933Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:23:27.786355Z digest=sha256:330f02c19d146c15e79738f5ead57ce2cba5c00a89e46caf5cb80630b59b7415

Observation df97ddb1-8562-4a56-a68e-ba536a012c2b · outbound

This paper cites Growth transformations for functions on manifolds,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Growth transformations for functions on manifolds,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:23:28.308760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:23:27.792305Z digest=sha256:693240f46c4055397d002e461cd8d323dea4fdc65e23b73f4b6637f669a71909

Observation d97fa7dc-39a9-41b3-8c3c-1b6c00766cbb · outbound

This paper cites A generalization of the baum algorithm to rational objective functions,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems A generalization of the baum algorithm to rational objective functions,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:23:28.228914Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T13:23:27.798522Z digest=sha256:c60e9598b8f9a72ba58585374f473dc9557e86d652a19aa8dc803c361b569c79

Observation f2169a3c-5a87-49a2-93b1-2ed551952da7 · outbound

This paper cites Wirtinger calculus based gradient descent and levenberg-marquardt learning algorithms in complex-valued neural networks,.

Resonant Machine Learning Based on Complex Growth Transform Dynamical Systems Wirtinger calculus based gradient descent and levenberg-marquardt learning algorithms in complex-valued neural networks,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:23:28.206552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Pith citing papers

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