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Paper Citation Record · LEDGER

Circuit realization and hardware linearization of monotone operator equilibrium networks

As of 22 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2509.13793.

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

pith.paper-citation-record.v1
2509.13793 v2

Coverage vector

measured 65 of 65 reference resolution

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measured 65 of 65 standing notices

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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

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Reference resolution

65 of 65 outbound references displayed

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  • verified fuzzy0
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Outbound references

Observation 13e979ff-afd5-493c-8c92-9031467884e7 · outbound

This paper cites Neurons with graded response have collective computational properties like those of two-state neurons.,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Neurons with graded response have collective computational properties like those of two-state neurons.,

Reference 1

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Observation bbef23e1-3714-4f2b-a7c1-cbb058da87b3 · outbound

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

Circuit realization and hardware linearization of monotone operator equilibrium networks “Neural” computation of decisions in optimization problems,

Reference 2

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Observation 32e8d6dc-0642-47bd-9ff8-fb12c06c9631 · outbound

This paper cites Analog ”neuronal.

Circuit realization and hardware linearization of monotone operator equilibrium networks Analog ”neuronal

Reference 3

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Observation ecbd7fc9-7f9e-486d-9df9-9118c1eee80f · outbound

This paper cites Resistive fuses: Analog hardware for detecting discontinuities in early vision,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Resistive fuses: Analog hardware for detecting discontinuities in early vision,

Reference 4

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Observation 17b90f4e-6c8d-4ce0-93b0-7717dcab369b · outbound

This paper cites Cellular neural networks: Theory,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Cellular neural networks: Theory,

Reference 5

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Observation 47d19417-98b7-4e18-be43-b6a21b617095 · outbound

This paper cites The missing memristor found,.

Circuit realization and hardware linearization of monotone operator equilibrium networks The missing memristor found,

Reference 6

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Observation 0a95d3ae-1a60-4980-b0fa-87b0e3598b86 · outbound

This paper cites 2022 roadmap on neuromorphic computing and engineer- ing,.

Circuit realization and hardware linearization of monotone operator equilibrium networks 2022 roadmap on neuromorphic computing and engineer- ing,

Reference 7

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Observation 1b674eaf-78cb-43b1-b60b-a6b7912fa4fd · outbound

This paper cites Materials and devices as solutions to computational problems in machine learning,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Materials and devices as solutions to computational problems in machine learning,

Reference 8

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Observation 6e81d3d6-6866-4deb-bc70-437314de1247 · outbound

This paper cites Fully hardware-implemented memristor convolutional neural network,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Fully hardware-implemented memristor convolutional neural network,

Reference 9

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Observation 33388b7b-dc8e-4df0-96ee-b54573909b31 · outbound

This paper cites Memristive crossbar arrays for brain- inspired computing,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Memristive crossbar arrays for brain- inspired computing,

Reference 10

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Observation 81961784-8a0d-4126-a8ad-2f9277db7e5b · outbound

This paper cites A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays,.

Circuit realization and hardware linearization of monotone operator equilibrium networks A Flexible and Fast PyTorch Toolkit for Simulating Training and Inference on Analog Crossbar Arrays,

Reference 11

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Observation 1ea735b6-0b50-4e86-ac13-1c7072e5b512 · outbound

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Circuit realization and hardware linearization of monotone operator equilibrium networks Unresolved cited work

Reference 12

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Observation ff99db00-7c52-473a-b074-c7d093b161d3 · outbound

This paper cites Training End-to-End Analog Neural Networks with Equilibrium Propagation.

Circuit realization and hardware linearization of monotone operator equilibrium networks Training End-to-End Analog Neural Networks with Equilibrium Propagation

Reference 13

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Observation 7ffcbc96-f2fa-4bda-9979-3e8cc88f1e8f · outbound

This paper cites Dillavou, B.

Circuit realization and hardware linearization of monotone operator equilibrium networks Dillavou, B

Reference 14

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Observation e088cc93-c9b5-444b-9183-2d9c40ed9da7 · outbound

This paper cites Universal approximation theorem for nonlinear resistive networks,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Universal approximation theorem for nonlinear resistive networks,

Reference 15

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Observation defcc4eb-61ee-45cd-b39f-7276e2c996c7 · outbound

This paper cites Kirch- hoffNet: A Scalable Ultra Fast Analog Neural Network,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Kirch- hoffNet: A Scalable Ultra Fast Analog Neural Network,

Reference 16

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Observation d9b4b87e-47e7-438c-b2e8-d3344623933d · outbound

This paper cites Energy- based learning algorithms for analog computing: A compar- ative study,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Energy- based learning algorithms for analog computing: A compar- ative study,

Reference 17

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Observation 4ec25246-6d4f-4158-854d-702ff752bce2 · outbound

This paper cites Huijzer, T.

Circuit realization and hardware linearization of monotone operator equilibrium networks Huijzer, T

Reference 18

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Observation 11f426b5-a7b7-451d-8ef0-36edb839f723 · outbound

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

Circuit realization and hardware linearization of monotone operator equilibrium networks Equilibrium propagation: Bridging the gap between energy-based models and backpropagation,

Reference 19

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Observation 2b8b229f-ac56-48f3-a51a-c7e5db60fe34 · outbound

This paper cites Monotone operator equi- librium networks,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Monotone operator equi- librium networks,

Reference 20

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Observation 420b23f5-18fa-4a2a-8696-a90634a2dc7c · outbound

This paper cites A Fast Algorithm to Simulate Nonlinear Resistive Networks.

Circuit realization and hardware linearization of monotone operator equilibrium networks A Fast Algorithm to Simulate Nonlinear Resistive Networks

Reference 21

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Observation 866d6d93-c74d-4ea8-b149-e37a6ce70181 · outbound

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Circuit realization and hardware linearization of monotone operator equilibrium networks Unresolved cited work

Reference 22

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Observation 485a86c1-055c-4346-abec-f840d2991f49 · outbound

This paper cites Circuit analysis using monotone+skew splitting,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Circuit analysis using monotone+skew splitting,

Reference 23

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Observation 67035154-8800-43a0-ae75-0af2916739e4 · outbound

This paper cites Monotone one-port circuits,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Monotone one-port circuits,

Reference 24

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Observation 728e80e2-2853-4333-81da-e2838aa4cf3d · outbound

This paper cites Operator-Splitting Methods for Neuromorphic Circuit Simulation.

Circuit realization and hardware linearization of monotone operator equilibrium networks Operator-Splitting Methods for Neuromorphic Circuit Simulation

Reference 25

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Observation 89abd001-ec37-431a-81a9-b9eca88d9165 · outbound

This paper cites Rockafellar, Network flows and monotropic optimization.

Circuit realization and hardware linearization of monotone operator equilibrium networks Rockafellar, Network flows and monotropic optimization

Reference 26

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Observation 5501658b-392e-432b-9f47-ab81ff9591b3 · outbound

This paper cites Solving linear and quadratic pro- grams with an analog circuit,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Solving linear and quadratic pro- grams with an analog circuit,

Reference 27

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Observation 73ba5401-3172-41f7-a35e-fe9af6b724dd · outbound

This paper cites Compilation Techniques for Reconfigurable Ana- log Devices,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Compilation Techniques for Reconfigurable Ana- log Devices,

Reference 28

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Observation c2fdc441-5c50-4848-9921-621e0bfa8b0a · outbound

This paper cites Opti- mization algorithm design via electric circuits,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Opti- mization algorithm design via electric circuits,

Reference 29

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Observation b2477a4d-4630-469b-b1f3-4036921ce90c · outbound

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Circuit realization and hardware linearization of monotone operator equilibrium networks Analog Optimization Circuit for Embedded Model Predictive Control,

Reference 30

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Observation 34da1978-71e5-41bd-bc20-a32d0de93449 · outbound

This paper cites Deep neural network structures solving variational inequalities,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Deep neural network structures solving variational inequalities,

Reference 31

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Observation 83bda9f3-bfbb-4c0b-b297-43ec1b5629f5 · outbound

This paper cites Goeleven, Complementarity and Variational Inequalities in Electronics.

Circuit realization and hardware linearization of monotone operator equilibrium networks Goeleven, Complementarity and Variational Inequalities in Electronics

Reference 32

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Observation 025d20e1-d803-4b64-81d8-f7765eac0a6c · outbound

This paper cites Deep equilibrium mod- els,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Deep equilibrium mod- els,

Reference 33

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source=pdf_text observed=2026-08-04T16:41:20.718681Z digest=sha256:2156816eb8b381e31134a336cff2b7eb51fe7e5f01b9e8d01dd2571b3f85da93

Observation a0bbc859-b3e5-4cc4-88f7-aa79e2075367 · outbound

This paper cites Lipschitz Bounded Equilibrium Networks.

Circuit realization and hardware linearization of monotone operator equilibrium networks Lipschitz Bounded Equilibrium Networks

Reference 34

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Observation 1f466e19-9e13-4f1c-8713-00e1aa711e7e · outbound

This paper cites Reciprocal Relations in Irreversible Processes, I & II,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Reciprocal Relations in Irreversible Processes, I & II,

Reference 35

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Observation 8ea262c5-ae2d-4cd9-9ae5-942554b48f45 · outbound

This paper cites Dissipative dynamical systems Part II: Linear systems with quadratic supply rates,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Dissipative dynamical systems Part II: Linear systems with quadratic supply rates,

Reference 36

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Observation 04389d9c-8a52-4f16-ac67-81ef52540755 · outbound

This paper cites Symmetry in linear physical systems.

Circuit realization and hardware linearization of monotone operator equilibrium networks Symmetry in linear physical systems

Reference 37

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Observation 8295aec5-c52a-4817-9c6e-ea920b1363a9 · outbound

This paper cites Quantum equilibrium prop- agation for efficient training of quantum systems based on Onsager reciprocity,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Quantum equilibrium prop- agation for efficient training of quantum systems based on Onsager reciprocity,

Reference 38

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Observation c21f57e0-51ad-4a9d-ac41-f9efc20fdbda · outbound

This paper cites Experimentally realized in situ backpropagation for deep learning in photonic neural networks,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Experimentally realized in situ backpropagation for deep learning in photonic neural networks,

Reference 39

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source=pdf_text observed=2026-08-04T16:41:21.284826Z digest=sha256:b57dd586ace1c785447791b29636ca04da3bfcf0f818343d3bff735bfcb1d02c

Observation 6e1c6267-d78b-4eb1-83bb-13e129de8064 · outbound

This paper cites Training of photonic neural networks through in situ backpropagation and gradient measurement,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Training of photonic neural networks through in situ backpropagation and gradient measurement,

Reference 40

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source=pdf_text observed=2026-08-04T16:41:21.290087Z digest=sha256:c310066aa2cec2303f5116f694c32a906fde59d1e06a999821fb04ebad4402e9

Observation e023d689-7917-41d3-819f-8ee988a472f3 · outbound

This paper cites Towards Design Optimization of Analog Compute Systems,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Towards Design Optimization of Analog Compute Systems,

Reference 41

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source=pdf_text observed=2026-08-04T16:41:21.298328Z digest=sha256:d3471cdd665349775ca8b36da15e4bdc6b0f098082d4f5bd6c90f2b587ee32aa

Observation aa485580-95c8-4226-bc85-1d5cfcef8f7b · outbound

This paper cites Passivity and electric circuits: A behavioral approach,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Passivity and electric circuits: A behavioral approach,

Reference 42

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

source=pdf_text observed=2026-08-04T16:41:21.302333Z digest=sha256:b2bbc10050a1d84385572ff3f258a0d3c4c5d29eb66e58a468014c200d9e73f4

Observation 6762df43-dc76-4c77-9130-57c320d42339 · outbound

This paper cites an unresolved cited work.

Circuit realization and hardware linearization of monotone operator equilibrium networks Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-04T16:41:21.306520Z digest=sha256:557038fb9a933c62943fd4cbbca98efccb54a2d2378aaf263da91bb963468bb5

Observation 275130b0-8826-48e6-ac9d-c329ab39a40a · outbound

This paper cites Seshu and M.

Circuit realization and hardware linearization of monotone operator equilibrium networks Seshu and M

Reference 44

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source=pdf_text observed=2026-08-04T16:41:21.310743Z digest=sha256:0a827591629a862365eae4fcb70b25adca6a38176272288a276bbbf9d81fb160

Observation 3d0d2ec9-6307-4b93-ac44-d03eb03eb963 · outbound

This paper cites From time series to linear system—Part I. Finite dimensional linear time invariant systems,.

Circuit realization and hardware linearization of monotone operator equilibrium networks From time series to linear system—Part I. Finite dimensional linear time invariant systems,

Reference 45

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source=pdf_text observed=2026-08-04T16:41:21.314824Z digest=sha256:d7ac038fc3383051f96d8bb33f5962ee050c914e22b35c252a55288077dd8527

Observation 6d7bf93f-36a2-4b70-84cc-5b7004b53426 · outbound

This paper cites an unresolved cited work.

Circuit realization and hardware linearization of monotone operator equilibrium networks Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-04T16:41:21.318642Z digest=sha256:ef32d5f7db6531831e2754f79ef8bb3ce69353ae02edec52b6886ceabe7243a3

Observation efea3ceb-41f0-436e-9b75-4209eebc4aa7 · outbound

This paper cites Learn- ing in memristive electrical circuits,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Learn- ing in memristive electrical circuits,

Reference 47

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source=pdf_text observed=2026-08-04T16:41:21.322762Z digest=sha256:48157b7b71d29057a0ab143b07e274608d9536840f137038f80482aba84ee3fe

Observation 49c10ebe-6c1c-4051-b01c-5c21c19d00fd · outbound

This paper cites an unresolved cited work.

Circuit realization and hardware linearization of monotone operator equilibrium networks Unresolved cited work

Reference 48

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malformed identifier
doi_truncated, observed 2026-08-04T16:44:15.724129Z

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

source=pdf_text observed=2026-08-04T16:41:21.326614Z digest=sha256:b61249910757b063081107e247235527b735e621a1bc5258d909fb02bed2ba37

Observation b5e5ba3c-efce-4a59-a9e2-50f460dbcf82 · outbound

This paper cites On the synthesis of R networks,.

Circuit realization and hardware linearization of monotone operator equilibrium networks On the synthesis of R networks,

Reference 49

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source=pdf_text observed=2026-08-04T16:41:21.330717Z digest=sha256:e4ba295ec6f1da830464d50d06d3cd465d5cbd1a34edd7d26db570399e836b6f

Observation d1810480-387b-4ad5-98cb-c0a2dd4d4c11 · outbound

This paper cites On the analysis and synthesis of single- element-kind networks,.

Circuit realization and hardware linearization of monotone operator equilibrium networks On the analysis and synthesis of single- element-kind networks,

Reference 50

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

source=pdf_text observed=2026-08-04T16:41:21.338902Z digest=sha256:22816667aee912d0057e4743ec23b97632a78b4d27295c03d3f29eea46a36733

Observation 19c8391e-3acf-4b7b-abe1-b90e9a7cb7e7 · outbound

This paper cites Sur les racines de l’ ´equation Xn = 0,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Sur les racines de l’ ´equation Xn = 0,

Reference 51

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source=pdf_text observed=2026-08-04T16:41:21.344234Z digest=sha256:33a181372c9fcae1b6e9f80594440c5e8cf9522d793e2e9ab71b4afb8062de5b

Observation fc225120-556b-415d-ae82-1f6670be8bfd · outbound

This paper cites Young, Iterative Solution of Large Linear Systems.

Circuit realization and hardware linearization of monotone operator equilibrium networks Young, Iterative Solution of Large Linear Systems

Reference 52

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source=pdf_text observed=2026-08-04T16:41:21.348245Z digest=sha256:b6efa5e970365fbb3c467a759b433260017b6080ed89332041c7a6b72a8c8000

Observation 4267a8db-a15f-437d-9fc2-182933fa378d · outbound

This paper cites Linear Convergence and Metric Selection for Douglas-Rachford Splitting and ADMM,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Linear Convergence and Metric Selection for Douglas-Rachford Splitting and ADMM,

Reference 53

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source=pdf_text observed=2026-08-04T16:41:21.351928Z digest=sha256:d1efa82137098c954a2815541ccb244344eef1c0792c4d98781d6049ccc1805b

Observation 938f24d0-8f85-42b7-9cd0-24a29ba59cb1 · outbound

This paper cites Analog circuit optimization using adjoint network based sensitivity analysis,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Analog circuit optimization using adjoint network based sensitivity analysis,

Reference 54

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source=pdf_text observed=2026-08-04T16:41:21.357086Z digest=sha256:361b566476251b4162b10c2ec68686a0978280a395a843aabafc4706653da1cf

Observation a24d5b6d-a13b-4bb3-b354-8406850ee77c · outbound

This paper cites Contrastive Hebbian Learning in the Continu- ous Hopfield Model,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Contrastive Hebbian Learning in the Continu- ous Hopfield Model,

Reference 55

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source=pdf_text observed=2026-08-04T16:41:21.366820Z digest=sha256:35f3ac060f06a87e5c21ca0b5591e76e4be5c32cf409e30d66398bcb138a6a5b

Observation c8edb7b5-8aad-4f13-bad0-36a115375f29 · outbound

This paper cites Multilayer feedforward networks with a nonpolynomial activation func- tion can approximate any function,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Multilayer feedforward networks with a nonpolynomial activation func- tion can approximate any function,

Reference 56

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source=pdf_text observed=2026-08-04T16:41:21.447716Z digest=sha256:cde0ffda618acdfa252cb76f8d9e9b97df490a6b7d10476247fd932029d3a804

Observation 14e8f206-4b76-4e60-931f-b4bd360505a4 · outbound

This paper cites Error bounds for approximations with deep ReLU networks,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Error bounds for approximations with deep ReLU networks,

Reference 57

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source=pdf_text observed=2026-08-04T16:41:21.609623Z digest=sha256:b010e04c3fa09ca10ce3ee3e081b70eb8cc59918ac3d1dfdda9eabebd2963460

Observation 572fec47-20b1-46c8-a304-77df5d678f70 · outbound

This paper cites Adding Gradient Noise Improves Learning for Very Deep Networks.

Circuit realization and hardware linearization of monotone operator equilibrium networks Adding Gradient Noise Improves Learning for Very Deep Networks

Reference 58

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source=pdf_text observed=2026-08-04T16:41:21.949824Z digest=sha256:b734805201bc09757040013cc5455db91591b706ffd64fed846878356ad942ef

Observation 0973e4dc-2e73-492c-aaaf-ce97d48c5cf2 · outbound

This paper cites Recurrent equi- librium networks: Flexible dynamic models with guaranteed stability and robustness,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Recurrent equi- librium networks: Flexible dynamic models with guaranteed stability and robustness,

Reference 59

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source=pdf_text observed=2026-08-04T16:41:22.025231Z digest=sha256:47c9b9724e9348c6a0aa376f894261871cd6674ee978a64390ea1f3b666f284e

Observation ea4b4dab-2466-4b14-bac7-55521bc873e8 · outbound

This paper cites Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations,

Reference 60

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source=pdf_text observed=2026-08-04T16:41:22.029161Z digest=sha256:ad6bb115c6b2668f5bbff9379f70adc60f5a6926ef0e3bf7a774af82aee15929

Observation 6b091d9f-6ca2-44e6-bfd1-fb74e26c6117 · outbound

This paper cites Non-Euclidean Monotone Operator Theory and Applica- tions,.

Circuit realization and hardware linearization of monotone operator equilibrium networks Non-Euclidean Monotone Operator Theory and Applica- tions,

Reference 61

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source=pdf_text observed=2026-08-04T16:41:22.032881Z digest=sha256:71a784bbefb28c5d269d9607b31c60e643108dcfe67eacb12b13c985b873caf9

Observation 557c0c45-f48a-4d7f-aeb9-c41fbc8b8c6d · outbound

This paper cites an unresolved cited work.

Circuit realization and hardware linearization of monotone operator equilibrium networks Unresolved cited work

Reference 1961

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source=pdf_text observed=2026-08-04T16:41:21.334983Z digest=sha256:26c804baa67d057bb63a589f29731ac8cfa9a309c34d6d9458b632a5aaefc718

Observation f432d0b3-96c1-4aed-b75d-15c8ea6b1986 · outbound

This paper cites an unresolved cited work.

Circuit realization and hardware linearization of monotone operator equilibrium networks Unresolved cited work

Reference 2014

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

source=pdf_text observed=2026-08-04T16:41:20.143921Z digest=sha256:f6ee22266cd107bb0f9f6fdd56b9180ae81b82c74dfdec2cc1bfd912e547b63b

Observation 4e81a8ff-82e4-4b2c-9eef-33f6aa7f27f0 · outbound

This paper cites an unresolved cited work.

Circuit realization and hardware linearization of monotone operator equilibrium networks Unresolved cited work

Reference 2017

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source=pdf_text observed=2026-08-04T16:41:21.783737Z digest=sha256:ebb24183c0677cc3bb6059499d7dc756bf3dc906b3ae0da8dfe9d1185802bab6

Observation e4b96ebe-d593-48ea-873b-35ffc616c4ec · outbound

This paper cites an unresolved cited work.

Circuit realization and hardware linearization of monotone operator equilibrium networks Unresolved cited work

Reference 2018

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source=pdf_text observed=2026-08-04T16:41:21.294029Z digest=sha256:f6281dba6748e73988649f076f2479afce9d4339783519e91194904a4e6b8568

Pith citing papers

No inbound Pith citation observations are available.