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Paper Citation Record · LEDGER

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization

As of 16 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:1908.02503.

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

pith.paper-citation-record.v1
1908.02503 v4

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:54:43.159866Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

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  • verified fuzzy17
  • unresolved12
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7c3f327-6143-4b7f-bc0f-44a8decf44d9 · outbound

This paper cites Aeron, V.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Aeron, V

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6ea164e4-840b-4a0b-9c99-809738c48bb1 · outbound

This paper cites Arias-Castro and Y.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Arias-Castro and Y

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 61ed948f-54db-48f6-b59a-e0245d298051 · outbound

This paper cites Dampingnoise-foldingandenhancedsupportrecovery in compressed sensing.IEEE Transactions on Signal Processing, 63(22):5990–6002, 2015.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Dampingnoise-foldingandenhancedsupportrecovery in compressed sensing.IEEE Transactions on Signal Processing, 63(22):5990–6002, 2015

Reference 3

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Source-reported events for the cited work

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Observation fc339131-2c40-481e-972e-25a3bdc4be8f · outbound

This paper cites Attouch, J.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Attouch, J

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f96ee95f-dc86-4b06-9146-d036cb1dac37 · outbound

This paper cites Attouch, J.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Attouch, J

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 50676542-3407-4b4f-bf00-cae6e755a80a · outbound

This paper cites an unresolved cited work.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 99999bcf-51b1-47be-a7d4-e8f1eb21ae64 · outbound

This paper cites Beck.First-order methods in optimization.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Beck.First-order methods in optimization

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f7612a73-2332-40ef-a3fb-62242e4554a0 · outbound

This paper cites Bolte, T.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Bolte, T

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 132007ed-bbb1-4c94-acb1-bb26d39fb05c · outbound

This paper cites Minimizationofnon-smooth, non-convexfunction- als by iterative thresholding.Journal of Optimization Theory and Applications, 165(1):78– 112, Apr 2015.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Minimizationofnon-smooth, non-convexfunction- als by iterative thresholding.Journal of Optimization Theory and Applications, 165(1):78– 112, Apr 2015

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 1a4cf60e-6401-4d44-b407-93cca69bc8ec · outbound

This paper cites an unresolved cited work.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation 1a4603a1-c5e1-404b-a1f7-ea80831d4d63 · outbound

This paper cites an unresolved cited work.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation d40d405c-ff1d-4a28-b068-a26a3f1a2beb · outbound

This paper cites Daubechies, M.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Daubechies, M

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation bc06e51b-dc38-4724-8792-787bf5a3cbb1 · outbound

This paper cites Fan and R.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Fan and R

Reference 13

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Observation 4d116e33-3fa6-42ec-94bc-5ff8f3b0e429 · outbound

This paper cites Foucart and H.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Foucart and H

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 55b2c8eb-1cb2-402a-9e71-3e5c74f2e07f · outbound

This paper cites Grasmair, T.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Grasmair, T

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2d708152-8645-4f82-8e1c-e10fa98c4034 · outbound

This paper cites Grasmair and V.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Grasmair and V

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c9e237bb-10d3-4eec-8012-de5961cf223b · outbound

This paper cites Laude, T.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Laude, T

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 5ec31b0d-e7e8-4330-8927-53f7ccd83542 · outbound

This paper cites Laude, T.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Laude, T

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation f88936b8-f10e-4440-9036-c3dc9acf3ad0 · outbound

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Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Unresolved cited work

Reference 19

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Source-reported events for the cited work

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Observation c719b348-001f-422b-900d-547fd4515fcb · outbound

This paper cites an unresolved cited work.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Unresolved cited work

Reference 20

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Source-reported events for the cited work

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Observation 5924df77-d669-42b9-9265-ef1e87a9f051 · outbound

This paper cites Naumova and S.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Naumova and S

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b8d1372f-9086-4fd1-a6f7-446798698775 · outbound

This paper cites Parikh and S.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Parikh and S

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b6f72672-aa86-404f-8386-26bb85cab9c2 · outbound

This paper cites an unresolved cited work.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Unresolved cited work

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 13c72c41-7d1a-4b07-9e18-e8e6d3c8c028 · outbound

This paper cites an unresolved cited work.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation eb94330c-1416-4d3d-be63-3b0f17a988fa · outbound

This paper cites an unresolved cited work.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Unresolved cited work

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 76a88df6-214d-4034-b521-ffc107003a7c · outbound

This paper cites an unresolved cited work.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 265507c9-f0d0-4e0e-b09e-dfe7b847b55a · outbound

This paper cites Kurdyka-{\L}ojasiewicz exponent via inf-projection.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Kurdyka-{\L}ojasiewicz exponent via inf-projection

Reference 27

Resolution
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no resolver link, observed 2026-08-14T14:54:43.150659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:54:43.150659Z digest=sha256:379d6ca6d6beff693b3ce254a1658d3b818b906872a0155d2b1be8ed49616aad

Observation 9d6a08c5-629c-48fc-a63b-41604c106ae9 · outbound

This paper cites an unresolved cited work.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Unresolved cited work

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 6aa0c346-8b53-427a-8ab6-7a7eb13e0672 · outbound

This paper cites Nearlyunbiasedvariableselectionunderminimaxconcavepenalty.

Computational approaches to non-convex, sparsity-inducing multi-penalty regularization Nearlyunbiasedvariableselectionunderminimaxconcavepenalty

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

No inbound Pith citation observations are available.