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Paper Citation Record · LEDGER

On Convex Duality in Linear Inverse Problems

As of 22 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:1908.06065.

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

pith.paper-citation-record.v1
1908.06065 v3

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:10:34.364702Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

16 of 16 outbound references displayed

  • verified exact1
  • verified fuzzy15
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67a66225-0be3-4dab-86d8-561749b6f897 · outbound

This paper cites K-svd: An algorithm for designing overcomplete dictionaries for sparse representation.

On Convex Duality in Linear Inverse Problems K-svd: An algorithm for designing overcomplete dictionaries for sparse representation

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.573911Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.306961Z digest=sha256:e235443fbdc7410f549c1998f0df43b42ffe53ae8cea8af275ff80faa2f628af

Observation 9555bd1a-b745-4037-9f0c-b8dd6cbb5862 · outbound

This paper cites Exact matrix completion via convex optimization.

On Convex Duality in Linear Inverse Problems Exact matrix completion via convex optimization

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.563842Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.311354Z digest=sha256:9b26e9091c32c380102e05db509e8a2ca74bce765e067b3af1d27dcb08d3f03e

Observation 48a4bdf5-06af-4119-9c3b-b60f9abb13f0 · outbound

This paper cites The convex geometry of linear inverse problems.

On Convex Duality in Linear Inverse Problems The convex geometry of linear inverse problems

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.553873Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.315492Z digest=sha256:89ee8783dfe9cf40c7f9c720f3e55dbdc27e09285e87f16a1ff11c094cd925e0

Observation 4c7117c0-6668-477e-91bc-a08f88476369 · outbound

This paper cites Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information.

On Convex Duality in Linear Inverse Problems Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.543094Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.319229Z digest=sha256:89ae59b15a6380f7b3786a03d15ea7b3fd63b8cd38eb8b4aa678964fc81683fa

Observation 49e97fa7-8fd6-4ae6-a0a1-4fd77096f406 · outbound

This paper cites Stable signal recovery from incomplete and inaccurate measurements.

On Convex Duality in Linear Inverse Problems Stable signal recovery from incomplete and inaccurate measurements

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.532639Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.323432Z digest=sha256:16e9f55ff9f1bc9a0497fda3c11ff697420c2657205288df87f8571d7ab602b5

Observation d6b2a1e6-27f1-4700-b031-5c14b3fba13d · outbound

This paper cites An introduction to compressive sampling [a sensing/sampling paradigm that goes against the common knowledge in data acquisition].

On Convex Duality in Linear Inverse Problems An introduction to compressive sampling [a sensing/sampling paradigm that goes against the common knowledge in data acquisition]

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.521546Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.327086Z digest=sha256:b253e4bd8e1d7b8d08e2f914218e98e23565d9dad93aa55b0742cf3e2704d498

Observation 03624b5c-1133-4b64-92af-5afa514bee84 · outbound

This paper cites Compressed sensing.

On Convex Duality in Linear Inverse Problems Compressed sensing

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.509043Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.331300Z digest=sha256:96ba52be3982dbe898d9f6124904f1300c5cdff98be24e70514f1e76e2e19716

Observation 71b6aeed-41e0-4119-9e9a-f1097e70200c · outbound

This paper cites Image denoising via sparse and redundant representations over learned dictionaries.

On Convex Duality in Linear Inverse Problems Image denoising via sparse and redundant representations over learned dictionaries

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.497516Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.334816Z digest=sha256:d0319c5c7e49625482e796e5c8d5cbb33c0a25f9c929f9f002bea4c6c2fa34bf

Observation b22c193b-3958-4ba8-8b1e-97614ca68fed · outbound

This paper cites Non-negative matrix factorization with sparseness constraints.

On Convex Duality in Linear Inverse Problems Non-negative matrix factorization with sparseness constraints

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.485926Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.338403Z digest=sha256:5ef84e3fe71d8253cd4e62f87da39007820c5328ac612f61851f3904ec99b1d1

Observation 8a46e8fa-db50-4bcb-9356-bc76e0ecf819 · outbound

This paper cites Learning the parts of objects by non-negative matrix factorization.

On Convex Duality in Linear Inverse Problems Learning the parts of objects by non-negative matrix factorization

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.475177Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.341937Z digest=sha256:b05f41ea0ff0251f4041115a554510dd230823dec820b815d3dacd6d61443c6f

Observation 6c1344f7-fffa-4211-95e1-d1445660759c · outbound

This paper cites Algorithms for non-negative matrix factorization.

On Convex Duality in Linear Inverse Problems Algorithms for non-negative matrix factorization

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.462171Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.345628Z digest=sha256:ebcd6f9d2cd1a9c94fde7fef7108408d17ad7206359d63010512f0c510ff06ca

Observation 875267e3-2af7-40e6-aeb9-6974b0ab3bd1 · outbound

This paper cites Mairal, F.

On Convex Duality in Linear Inverse Problems Mairal, F

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.449712Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.349305Z digest=sha256:2d5f44832bd733b2d08168cfeac54606846f79599c1a9f12520366c353613263

Observation 2a185483-8281-4f23-8c5d-f8a15b3bea68 · outbound

This paper cites Principles of mathematical analysis , volume 3.

On Convex Duality in Linear Inverse Problems Principles of mathematical analysis , volume 3

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.437326Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.352960Z digest=sha256:f24c5a0f38f794b6da302f2ca487eca4b1d1c0733b70eb179e2b93f407a441cb

Observation 4b35a914-2c0e-47fc-8584-9696c06c9dd4 · outbound

This paper cites Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization.

On Convex Duality in Linear Inverse Problems Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.424728Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.356761Z digest=sha256:5fff1a00eea612c918e52ec41d07bf08d60ca1a1d19a5262805d663629cc93a7

Observation b189bffd-ef17-4be3-bbed-f52144dc3a3d · outbound

This paper cites Dictionary Learning with Almost Sure Error Constraints.

On Convex Duality in Linear Inverse Problems Dictionary Learning with Almost Sure Error Constraints

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-14T13:10:34.400433Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.360566Z digest=sha256:a68e13b95f5b2c9d0f9b6231f552c2542d3cce777d1286b04a702b89cdf7bdfa

Observation b9f66e02-1607-4857-8d21-1928cb3fe01b · outbound

This paper cites Tosic and P.

On Convex Duality in Linear Inverse Problems Tosic and P

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:10:34.412351Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-14T13:10:34.364702Z digest=sha256:5e8478a85b0c1c1bf8ff351d2f24ba7bebc228efb7925005069e29108a89c723

Pith citing papers

No inbound Pith citation observations are available.