Paper Citation Record · LEDGER

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization

As of 7 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.10618.

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pith.paper-citation-record.v1
2607.10618 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T10:26:37.814917Z

measured 20 of 20 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

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Reference resolution

20 of 20 outbound references displayed

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External citation measurements

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Outbound references

Observation af653d30-5aff-44f7-baf1-21599dfcdc3f · outbound

This paper cites Fast algorithms for demixing sparse signals from nonlinear observa- tions,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Fast algorithms for demixing sparse signals from nonlinear observa- tions,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation 1e9d6da9-4aa2-4fc0-93bd-5269a3aa35ca · outbound

This paper cites Demixing structured su- perposition signals from periodic and aperiodic non- linear observations,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Demixing structured su- perposition signals from periodic and aperiodic non- linear observations,

Reference 2

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Observation 23dc9cc4-9a17-4c74-bf59-0ba22d17ce41 · outbound

This paper cites Ef- ficient sparse recovery and demixing using noncon- vex regularization,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Ef- ficient sparse recovery and demixing using noncon- vex regularization,

Reference 3

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Observation 89c62b5d-38df-4b50-bdd2-42c4a3f192e5 · outbound

This paper cites A sur- vey on nonconvex regularization-based sparse and low-rank recovery in signal processing, statistics, and machine learning,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization A sur- vey on nonconvex regularization-based sparse and low-rank recovery in signal processing, statistics, and machine learning,

Reference 4

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Observation da500930-fca1-46a4-a8ee-ad67a793755e · outbound

This paper cites Variable selection via noncon- cave penalized likelihood and its oracle properties,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Variable selection via noncon- cave penalized likelihood and its oracle properties,

Reference 5

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Observation db17f31d-8b31-4395-9bc3-f30486402dcf · outbound

This paper cites Nearly unbiased variable selection un- der minimax concave penalty,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Nearly unbiased variable selection un- der minimax concave penalty,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation cde3adda-8692-4440-9076-34a5bbc45e17 · outbound

This paper cites Regularized M- estimators with nonconvexity: Statistical and algo- rithmic theory for local optima,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Regularized M- estimators with nonconvexity: Statistical and algo- rithmic theory for local optima,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation ac032414-5eea-4c78-99c8-c7d17c94365f · outbound

This paper cites Support recovery without incoherence: A case for nonconvex regular- ization,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Support recovery without incoherence: A case for nonconvex regular- ization,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation 390867f1-67f6-4099-807c-228a11313974 · outbound

This paper cites The generalized LASSO with non-linear observations,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization The generalized LASSO with non-linear observations,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation 132faf6a-cb8b-44c3-bb3f-20aef0cb16c6 · outbound

This paper cites Demixing sparse signals from nonlinear observations via generalized non-convex regulariza- tion,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Demixing sparse signals from nonlinear observations via generalized non-convex regulariza- tion,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation b6c2dc34-1e99-4e9f-aa0e-3f7d74ba6c78 · outbound

This paper cites Proximal al- ternating linearized minimization for nonconvex and nonsmooth problems,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Proximal al- ternating linearized minimization for nonconvex and nonsmooth problems,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation 27aa3647-f834-43bb-8266-185ce3e92f62 · outbound

This paper cites Con- vergence of descent methods for semi-algebraic and tame problems,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Con- vergence of descent methods for semi-algebraic and tame problems,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation 34f64409-e426-462f-a3ba-5e32ca2567f2 · outbound

This paper cites Proximal alternating minimization and projection methods for nonconvex problems,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Proximal alternating minimization and projection methods for nonconvex problems,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation dce2dba1-390e-4625-916f-e0951eebd309 · outbound

This paper cites On the convergence of the proximal algorithm for nonsmooth functions in- volving analytic features,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization On the convergence of the proximal algorithm for nonsmooth functions in- volving analytic features,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation e9919aa2-d125-431a-9735-ca7eb725635b · outbound

This paper cites Calculus of the exponent of Kurdyka– Lojasiewicz inequality and its applications to linear convergence of first-order methods,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Calculus of the exponent of Kurdyka– Lojasiewicz inequality and its applications to linear convergence of first-order methods,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation d4875c46-80ea-4ac7-b552-26f96060e5e3 · outbound

This paper cites Statistical consistency and asymp- totic normality for high-dimensional robust M- estimators,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Statistical consistency and asymp- totic normality for high-dimensional robust M- estimators,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation cea674e6-af0b-40b0-a83b-c5a920da605c · outbound

This paper cites Adaptive Hu- ber regression,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Adaptive Hu- ber regression,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation 4571059b-04d0-491d-bb1d-275e2e7d412c · outbound

This paper cites L 1/2 regu- larization: A thresholding representation theory and a fast solver,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization L 1/2 regu- larization: A thresholding representation theory and a fast solver,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation 17ef61e6-0b4d-4d1e-bd79-919c5d6799d6 · outbound

This paper cites Ledoux and M.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Ledoux and M

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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Observation 78037317-d74b-40ff-af98-b728e6d1d2ec · outbound

This paper cites Re- stricted eigenvalue properties for correlated Gaussian designs,.

Demixing Sparse Signals from Nonlinear Observations using Generalized Non-convex Regularization Re- stricted eigenvalue properties for correlated Gaussian designs,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T10:26:37.814917Z

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