Paper Citation Record · LEDGER

Stabilizability of neural fields from thick subsets

As of 7 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.26883.

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

pith.paper-citation-record.v1
2607.26883 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T18:13:56.085162Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

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.

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Reference resolution

29 of 29 outbound references displayed

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External citation measurements

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Outbound references

Observation bb8ce66c-8e7d-476a-96bf-ba3255decb11 · outbound

This paper cites Dynamics of pattern formation in lateral-inhibition type neural fields,.

Stabilizability of neural fields from thick subsets Dynamics of pattern formation in lateral-inhibition type neural fields,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:54.012016Z

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Observation 9f06e1c5-0d9e-4369-b69f-078ba6b0f072 · outbound

This paper cites Neural field models: A mathematical overview and unifying framework,.

Stabilizability of neural fields from thick subsets Neural field models: A mathematical overview and unifying framework,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:54.058514Z

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Observation bf9b2753-d603-4663-b8b7-03773ee93043 · outbound

This paper cites Coombes, P.

Stabilizability of neural fields from thick subsets Coombes, P

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:54.108058Z

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Observation 0781b732-4d7f-4209-92b2-5349725ecfaa · outbound

This paper cites A mathematical model of the visual MacKay effect,.

Stabilizability of neural fields from thick subsets A mathematical model of the visual MacKay effect,

Reference 4

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Observation 02044c40-f1b8-4d66-8895-d0487fe53e5d · outbound

This paper cites Neural field equations with time-periodic external inputs and some applications to visual processing,.

Stabilizability of neural fields from thick subsets Neural field equations with time-periodic external inputs and some applications to visual processing,

Reference 5

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Observation 0157cbaf-29b6-4b1b-8f94-8a356619d64e · outbound

This paper cites A computational study of stimulus driven epileptic seizure abatement,.

Stabilizability of neural fields from thick subsets A computational study of stimulus driven epileptic seizure abatement,

Reference 6

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Observation dfd46349-5064-41fe-bd32-ab0d1c86579c · outbound

This paper cites Robust stabiliza- tion of delayed neural fields with partial measurement and actuation,.

Stabilizability of neural fields from thick subsets Robust stabiliza- tion of delayed neural fields with partial measurement and actuation,

Reference 7

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Observation c3b25919-35c8-4fa0-9e38-1d46a698da38 · outbound

This paper cites Control of neural field equations with step-function inputs.

Stabilizability of neural fields from thick subsets Control of neural field equations with step-function inputs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:54.406410Z

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Observation a311eaca-d1de-48ad-b63a-a2ec7aa88947 · outbound

This paper cites Adaptive observer and control of spatiotemporal delayed neural fields,.

Stabilizability of neural fields from thick subsets Adaptive observer and control of spatiotemporal delayed neural fields,

Reference 9

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Observation d3913da9-889c-4f3b-9b14-fe474fabc066 · outbound

This paper cites Controllability of structural brain networks,.

Stabilizability of neural fields from thick subsets Controllability of structural brain networks,

Reference 10

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Observation eb0e3a2c-0366-4b01-ab46-a139d8823d35 · outbound

This paper cites A practical guide to methodological considerations in the controllability of structural brain networks,.

Stabilizability of neural fields from thick subsets A practical guide to methodological considerations in the controllability of structural brain networks,

Reference 11

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Observation 59965366-6c0a-4092-8090-de5e11c14b02 · outbound

This paper cites Sufficient criteria for stabilization properties in banach spaces,.

Stabilizability of neural fields from thick subsets Sufficient criteria for stabilization properties in banach spaces,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:54.743236Z

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Observation c6d97867-e0f0-4d45-9b7e-e03f42bae05e · outbound

This paper cites Contr ˆole exact de l’´equation de la chaleur,.

Stabilizability of neural fields from thick subsets Contr ˆole exact de l’´equation de la chaleur,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:54.812044Z

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Observation b4bf45c2-783a-4ef2-972e-a4a3609c19b4 · outbound

This paper cites A direct Lebeau-Robbiano strategy for the observability of heat-like semigroups,.

Stabilizability of neural fields from thick subsets A direct Lebeau-Robbiano strategy for the observability of heat-like semigroups,

Reference 14

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Observation 2db2796e-28c1-487d-8773-e20d3584ac0b · outbound

This paper cites Sufficient criteria and sharp geometric conditions for observability in banach spaces,.

Stabilizability of neural fields from thick subsets Sufficient criteria and sharp geometric conditions for observability in banach spaces,

Reference 15

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Observation 81c5410d-5b37-4639-9529-f42ffb4a2517 · outbound

This paper cites Observability and null-controllability for parabolic equations inL p-spaces,.

Stabilizability of neural fields from thick subsets Observability and null-controllability for parabolic equations inL p-spaces,

Reference 16

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Observation f2c6f8b9-1d11-493e-89eb-00be7140e088 · outbound

This paper cites Some results related to the Logvinenko-Sereda theorem,.

Stabilizability of neural fields from thick subsets Some results related to the Logvinenko-Sereda theorem,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:55.061995Z

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Observation e9ea43fa-8a9a-4ada-95c9-0f3486792ebc · outbound

This paper cites Some theorems of Paley-Wiener type,.

Stabilizability of neural fields from thick subsets Some theorems of Paley-Wiener type,

Reference 18

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Observation de6594ea-6334-45e0-bfe0-094e838c45e8 · outbound

This paper cites On some problems in harmonic analysis,.

Stabilizability of neural fields from thick subsets On some problems in harmonic analysis,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:55.212463Z

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Observation b9df4d78-da37-44bb-b655-b32f3d3e6224 · outbound

This paper cites Equivalent norms in spaces of entire functions of exponential type,.

Stabilizability of neural fields from thick subsets Equivalent norms in spaces of entire functions of exponential type,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:55.305484Z

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Observation 3fabb233-c683-4e0a-80ef-fcd322fc132e · outbound

This paper cites Sharp geometric condition for null- controllability of the heat equation on r d and consistent estimates on the control cost,.

Stabilizability of neural fields from thick subsets Sharp geometric condition for null- controllability of the heat equation on r d and consistent estimates on the control cost,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:55.391995Z

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Observation 165e7be1-ee12-4a54-8f0f-72b85887dfaf · outbound

This paper cites Grafakos,Classical Fourier analysis.

Stabilizability of neural fields from thick subsets Grafakos,Classical Fourier analysis

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:55.469815Z

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Observation 0d478c85-8521-4d32-93bb-5084469d2834 · outbound

This paper cites Zabczyk,Mathematical control theory.

Stabilizability of neural fields from thick subsets Zabczyk,Mathematical control theory

Reference 23

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Observation 7e429142-e2be-47ef-8913-e288bf4d4929 · outbound

This paper cites Pazy,Semigroups of linear operators and applications to partial differential equations.

Stabilizability of neural fields from thick subsets Pazy,Semigroups of linear operators and applications to partial differential equations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:55.629893Z

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Observation d6dbb1c7-48eb-425a-9c35-1d94684e95d4 · outbound

This paper cites Cazenave and A.

Stabilizability of neural fields from thick subsets Cazenave and A

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:55.696537Z

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Observation ecf88eeb-4803-4cbc-a2d6-ec92048d1796 · outbound

This paper cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,.

Stabilizability of neural fields from thick subsets SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:55.744435Z

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Observation d9bf14b3-9b9e-4329-89c7-5d9c65700343 · outbound

This paper cites A Logvinenko–Sereda theorem for vector-valued functions and application to control theory,.

Stabilizability of neural fields from thick subsets A Logvinenko–Sereda theorem for vector-valued functions and application to control theory,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:55.810898Z

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Observation 87c8ec9b-8ad4-487a-b4fc-af7aec31bdc2 · outbound

This paper cites On the controllability of anomalous diffusions generated by the fractional laplacian,.

Stabilizability of neural fields from thick subsets On the controllability of anomalous diffusions generated by the fractional laplacian,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:55.935133Z

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Observation 78218e75-02ca-4bb7-909a-4980efdc6c53 · outbound

This paper cites Contr ˆole et stabilisation pour l’´equation des ondes,.

Stabilizability of neural fields from thick subsets Contr ˆole et stabilisation pour l’´equation des ondes,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-30T18:13:56.085162Z

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