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Paper Citation Record · LEDGER

On Convex Duality in Linear Inverse Problems

As of 16 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 2026-08-16T06:30:59.297886+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

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.306961Z digest=sha256:e46b29afba7b0e999690e555fbdf231b9984153680b26b5318f7a3d02ed75b08

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.311354Z digest=sha256:d5826d98a3f27f3779a50b99e1694092aea975a3e69fc5cad6a2d41552ebc5ac

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.315492Z digest=sha256:4bbd5916d507c9bfe598bc9956a896e1ba80164d3bbd2c13d29d09d305a5ffa6

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.319229Z digest=sha256:26e4fd786d946b11086ccb11506b93eb8a3f42d98ce980655c613126f4ddae0d

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.323432Z digest=sha256:6b93541d4c2b78c18aca3a1a573172b6d9703d661f5b02c57acb00c69bcd5dcf

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.327086Z digest=sha256:c4cad46c507e8cc353a0d0c39246894299b13dc8fc2c104c0be99ea6e53db354

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.331300Z digest=sha256:190861f5a0d9c36591e7db325817c8344df6571c1ed6e6e4a59589cc35734437

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.334816Z digest=sha256:849cbcc4bfd5b898de13c0c219449176d7111260ebf96aa7d15cd7e1f7bbb0b4

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.338403Z digest=sha256:f9a74ad1ae8f776de14e9c6577795629bc770459a6f117a113a9f6fe117685fb

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.341937Z digest=sha256:920417d2c857353e9e600a86e03ba7fa788d87f1aa4d6aceca1835533ee907fb

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.345628Z digest=sha256:d37f04a1ed04520e0ab1bbd91962a25135c5add1b5edff70b6b687cf96febb19

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.349305Z digest=sha256:920d6b5e894431833dedd78864fe2d2a25ec6072c148db3e1fc801080bad69cb

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.352960Z digest=sha256:81e7209bfb18cac1444cce4064f998849c00df15bd22d097edcb3cf35e9e8974

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.356761Z digest=sha256:e31b3745f5eb7673a23e209a8552875fd95a46a02fc4bd91a0477660a0d84333

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.360566Z digest=sha256:4b5d4e87505db9bcb45fb5940b17c4873e55e0b75f622d7c57a5d488e3e4f945

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T13:10:34.364702Z digest=sha256:a00cf41268becdde671e4dfeda95ffb789f938953357759fc512201004e2b89b

Pith citing papers

No inbound Pith citation observations are available.