Paper Citation Record · LEDGER

Operator-Splitting Methods for Neuromorphic Circuit Simulation

As of 20 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2505.22363.

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

pith.paper-citation-record.v1
2505.22363 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:21:38.792549Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:41:19.894242Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

64 of 64 outbound references displayed

verified exact2
verified fuzzy35
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

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

Outbound references

Observation 8d5d22ee-4040-4575-9e2c-ea70e10c926c · outbound

This paper cites This is the result of theBanach fixed-point Theorem.

Operator-Splitting Methods for Neuromorphic Circuit Simulation This is the result of theBanach fixed-point Theorem

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:48.356417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d46f3189-e7cd-4b3a-8090-08a57d9329af · outbound

This paper cites neuron” block is exactly the dynamics presented in the left- hand side of (9) that describes the internal dynamics of the neuron. For thek th neuron, the internal “neuron.

Operator-Splitting Methods for Neuromorphic Circuit Simulation neuron” block is exactly the dynamics presented in the left- hand side of (9) that describes the internal dynamics of the neuron. For thek th neuron, the internal “neuron

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:48.111502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6bcc62e4-30d1-4bad-8103-f658686351ab · outbound

This paper cites Among these properties,mono- tonicityholds a special place.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Among these properties,mono- tonicityholds a special place

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:47.900078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b3d49fde-ffd0-4a00-a824-43446bba5bda · outbound

This paper cites The justification for the breakdown of monotonicity is threefold.

Operator-Splitting Methods for Neuromorphic Circuit Simulation The justification for the breakdown of monotonicity is threefold

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:47.773620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 919b47f7-b454-475e-8acb-7ea92d06a25f · outbound

This paper cites To further exploit the structure of our problem and simplify the proof of convergence, further assumptions are put on the operators.

Operator-Splitting Methods for Neuromorphic Circuit Simulation To further exploit the structure of our problem and simplify the proof of convergence, further assumptions are put on the operators

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:47.665607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e99f1c0c-baa8-44bd-b301-76efe6f54d77 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:47.397901Z

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Observation 53ddd96d-09d2-405a-88f0-93543d8b6213 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:47.263343Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e15d5dba-a3c1-4e8a-ae63-064399d6aa3d · outbound

This paper cites Then, the fixed-point iteration zk+1 =T(z k)(27) converges to a solution of (23), if such a solution exists.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Then, the fixed-point iteration zk+1 =T(z k)(27) converges to a solution of (23), if such a solution exists

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:47.110900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2b9545a2-9dbe-45a9-80a7-7ecc9ae3f79f · outbound

This paper cites The main bottleneck lies in computing the resolvent operatorJ Fi.

Operator-Splitting Methods for Neuromorphic Circuit Simulation The main bottleneck lies in computing the resolvent operatorJ Fi

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:46.964364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2940321e-4c6c-4584-95ac-737e2110efa9 · outbound

This paper cites The dynamic operators, including bothDthat represents the capacitor andL that represents the first-order lags, are LTI systems.

Operator-Splitting Methods for Neuromorphic Circuit Simulation The dynamic operators, including bothDthat represents the capacitor andL that represents the first-order lags, are LTI systems

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:46.791922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1060ea08-3031-4527-bc41-e6fc63c8cc90 · outbound

This paper cites This matrix is used at every iteration of Algorithm 1 and does not change throughout the simulation.

Operator-Splitting Methods for Neuromorphic Circuit Simulation This matrix is used at every iteration of Algorithm 1 and does not change throughout the simulation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:46.637560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c1e41a19-2c49-4dc1-94f9-2244e408d941 · outbound

This paper cites The first one isαwhich is the stepsize of Algorithm 1 and dictates the change at every iteration.

Operator-Splitting Methods for Neuromorphic Circuit Simulation The first one isαwhich is the stepsize of Algorithm 1 and dictates the change at every iteration

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:46.441318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3937ca73-8f63-464a-85f8-9e19efd9b8c3 · outbound

This paper cites Here, the ∥xk+1−xk∥ ∥xk∥ determines the change of the solution after one iteration.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Here, the ∥xk+1−xk∥ ∥xk∥ determines the change of the solution after one iteration

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:46.243752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ce28ee62-9bf0-421c-a6ce-0deeb29de4a0 · outbound

This paper cites In doing so, it is possible to feed this solution to the initial ZFP of (23).

Operator-Splitting Methods for Neuromorphic Circuit Simulation In doing so, it is possible to feed this solution to the initial ZFP of (23)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:46.022045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 86b97b2b-62c0-4111-92a9-1cf742b13533 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:45.913644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation acaebf8e-9e6d-4c67-b195-822609d0b773 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:45.780250Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 57093ddc-d3bc-419a-9281-00db160ea774 · outbound

This paper cites The concave-convex procedure,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation The concave-convex procedure,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:41.268465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 72c57ed5-4e5f-4b15-b78c-08e04bd52ffb · outbound

This paper cites Bursting neurons are interconnected through inhibitory synap- tic connections.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Bursting neurons are interconnected through inhibitory synap- tic connections

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:45.494513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation adf026bf-2b2a-4b5d-8b3f-1570eabbe433 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:45.272453Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation af4ef437-f857-4e68-bf9c-6c9ccd7cb124 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:44.999331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c069139a-d9c6-4779-b26b-b08cd6a6ff4e · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:44.739101Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 004b6d36-dae0-4915-b8c8-92d9ddba1efe · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:44.455418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 37b9a221-2a01-40c8-b46f-6d89c92cc05e · outbound

This paper cites Proof:By proposition 1, this theorem holds if the operator Tis averaged.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Proof:By proposition 1, this theorem holds if the operator Tis averaged

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:44.196837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 36803b71-88d9-4cd7-9fce-d512b2e54d05 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:47.562789Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ce7b4a59-5c3f-412f-a634-a119c505b0ce · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:43.971983Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 21cbcb69-1729-4d75-bdec-77dcf10d8916 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:43.712826Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7c4c235c-4689-4854-9081-e2e2fa83bd92 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:43.535928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 789a28aa-b5e5-4b9f-b51e-deda01d59276 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:43.348604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ed480970-4469-4e8d-9ecf-9714608d5d1a · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:43.177082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2b18025b-92be-4244-bd58-42e9e2e13fb2 · outbound

This paper cites A quantitative description of mem- brane current and its application to conduction and excitation in nerve,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation A quantitative description of mem- brane current and its application to conduction and excitation in nerve,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:35.729886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb26928c-ea00-4add-ae74-cb2bf5fc4dc3 · outbound

This paper cites Event- based vision: A survey,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Event- based vision: A survey,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:35.851302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ce1ff82-5fa0-419a-ab96-77c2dfb2d6c6 · outbound

This paper cites Neuromorphic computing using non-volatile memory,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Neuromorphic computing using non-volatile memory,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:43.035526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8b02e26b-2a89-4af8-9507-f911efbc5aef · outbound

This paper cites Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Spike-based local synaptic plasticity: A survey of computational models and neuromorphic circuits,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:42.935595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 077103b7-22e2-4462-b4af-7678c99f33e6 · outbound

This paper cites A review of spiking neuromorphic hardware communication systems,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation A review of spiking neuromorphic hardware communication systems,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:42.777789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2f161c3e-da10-47a8-9a70-91f0fdb576d9 · outbound

This paper cites A review of learning in biologically plausible spiking neural networks,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation A review of learning in biologically plausible spiking neural networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:42.618016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 98534ea1-2712-4c31-907f-83b9108bb828 · outbound

This paper cites Neuromorphic control: Designing multiscale mixed-feedback systems,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Neuromorphic control: Designing multiscale mixed-feedback systems,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:36.245449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0272244b-735c-42e0-8d88-44fab4a92029 · outbound

This paper cites How modeling can reconcile apparently discrepant experimental results: the case of pacemaking in dopaminergic neurons,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation How modeling can reconcile apparently discrepant experimental results: the case of pacemaking in dopaminergic neurons,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:42.412934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1245735f-3dac-4a2d-a16f-1fc23af97d5f · outbound

This paper cites Brogliato,Nonsmooth mechanics: models, dynamics and control.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Brogliato,Nonsmooth mechanics: models, dynamics and control

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:42.270974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6bc91357-0bdc-492a-81a8-73f0327a21ee · outbound

This paper cites Monotone networks,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Monotone networks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:42.109636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bfb7a3b0-9dd3-4093-859a-b6e2b40b20cd · outbound

This paper cites Linear passive systems and maximal monotone mappings,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Linear passive systems and maximal monotone mappings,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:41.964701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3e7b2dc0-3ea6-4974-808f-d4c00961ef3e · outbound

This paper cites Monotone one-port circuits,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Monotone one-port circuits,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:41.843216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9296f587-e1fd-4b92-a720-68e5e75ec93b · outbound

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

Operator-Splitting Methods for Neuromorphic Circuit Simulation Circuit analysis using monotone+ skew splitting,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:41.668424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dd543f9f-911c-4688-b1f9-4b0562251eb9 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:36.793537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2276c7b7-0178-4d14-a85d-18304a00d2f0 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:41.534177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e2984155-69c5-4c3a-955d-1e59977b8859 · outbound

This paper cites Input/output analysis: graphical and algorithmic methods,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Input/output analysis: graphical and algorithmic methods,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:41.387272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3a7bc345-c759-4dcc-ad02-9d15f7f1b6e1 · outbound

This paper cites Spiking control systems,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Spiking control systems,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:37.037217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 504fa555-74f1-47cd-b43b-b5ade8f6288b · outbound

This paper cites Sodium leak channels in neuronal excitability and rhythmic behaviors,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Sodium leak channels in neuronal excitability and rhythmic behaviors,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:41.167455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 058d75e4-2409-4ba0-b303-a130ce45e376 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:40.966666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4cc3fe60-e115-40a7-bad7-553e92fd99c0 · outbound

This paper cites Proximal algorithms,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Proximal algorithms,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:37.483208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23bcbea9-71d5-42ec-bc10-6c89240e1153 · outbound

This paper cites Neuromodulation of neuromorphic circuits,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Neuromodulation of neuromorphic circuits,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:40.835291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 33cdcdb5-ac7a-40ff-a359-04c652a6040d · outbound

This paper cites Synthesis of neuromorphic circuits with neuromodulatory properties,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Synthesis of neuromorphic circuits with neuromodulatory properties,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:40.707265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91d8c5ac-7c4e-43b5-a55a-06f4a992fbdf · outbound

This paper cites An Operator-Theoretic Framework to Simulate Neuromorphic Circuits.

Operator-Splitting Methods for Neuromorphic Circuit Simulation An Operator-Theoretic Framework to Simulate Neuromorphic Circuits

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:21:39.223820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 384dd39a-647f-4060-98d2-a79a1773c351 · outbound

This paper cites Neural networks and physical systems with emergent collective computational abilities.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Neural networks and physical systems with emergent collective computational abilities

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:37.909988Z

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Observation 934cde1d-0ef4-4121-bcdb-e9b02874c5f8 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:40.566616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c735af48-b1ef-4cd0-b4b4-f4804b0a11b3 · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Distributed optimization and statistical learning via the alternating direction method of multipliers,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T13:21:38.060242Z

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Observation 609b877f-cfb4-4b71-8045-513844483c4c · outbound

This paper cites Proximal methods for cohypomono- tone operators,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Proximal methods for cohypomono- tone operators,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:40.380340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7f38b601-93d4-4469-ac20-560250df330d · outbound

This paper cites A three-operator splitting scheme and its optimization applications,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation A three-operator splitting scheme and its optimization applications,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:40.194958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2e1c3aae-ef30-4951-bc10-2cae9f56ed9f · outbound

This paper cites A unified douglas–rachford algo- rithm for generalized dc programming,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation A unified douglas–rachford algo- rithm for generalized dc programming,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:40.024753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 73593eea-b1b1-4a09-b710-c3b2ffbc118b · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:39.904743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4e0eb6f0-e75a-4357-b9d7-20147afc157c · outbound

This paper cites Neuromodulation of brain states,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Neuromodulation of brain states,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:39.760054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 394af435-8d05-4bd8-a55c-aefc762d93fd · outbound

This paper cites Bertsekas, A.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Bertsekas, A

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:39.600627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4baef306-4bcc-4b47-b7d2-e00df0e0aefa · outbound

This paper cites Disciplined convex-concave programming,.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Disciplined convex-concave programming,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:21:39.419701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 462efb0d-2068-451e-b57c-7113e78f5bda · outbound

This paper cites Variable Metric Splitting Methods for Neuromorphic Circuits Simulation.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Variable Metric Splitting Methods for Neuromorphic Circuits Simulation

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:21:38.964715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 41130389-c218-4133-890b-52d310835412 · outbound

This paper cites an unresolved cited work.

Operator-Splitting Methods for Neuromorphic Circuit Simulation Unresolved cited work

Reference 6400

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:21:45.636407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

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

Circuit realization and hardware linearization of monotone operator equilibrium networks cites this paper.

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

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-04T16:44:15.832702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.