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Paper Citation Record · LEDGER

Bregman Itoh--Abe methods for sparse optimisation

As of 16 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:1908.04583.

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

pith.paper-citation-record.v1
1908.04583 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

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measured 61 of 61 standing notices

One-hop event checks from named stored sources.

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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

61 of 61 outbound references displayed

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External citation measurements

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Outbound references

Observation c845de13-4770-488a-a87b-013a03cc15ee · outbound

This paper cites Lectures in Mathematics.

Bregman Itoh--Abe methods for sparse optimisation Lectures in Mathematics

Reference 1

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Reference 2

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This paper cites Choose your path wisely: gradient descent in a Bregman distance framework.

Bregman Itoh--Abe methods for sparse optimisation Choose your path wisely: gradient descent in a Bregman distance framework

Reference 3

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This paper cites Acta Numerica 27, 1–111 (2018).

Bregman Itoh--Abe methods for sparse optimisation Acta Numerica 27, 1–111 (2018)

Reference 4

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This paper cites On Symplectic Optimization.

Bregman Itoh--Abe methods for sparse optimisation On Symplectic Optimization

Reference 5

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This paper cites USSR Comput.

Bregman Itoh--Abe methods for sparse optimisation USSR Comput

Reference 6

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This paper cites In: Advances in mathe- matical modeling, optimization and optimal control, pp.

Bregman Itoh--Abe methods for sparse optimisation In: Advances in mathe- matical modeling, optimization and optimal control, pp

Reference 7

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Reference 8

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Reference 9

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Reference 10

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Reference 11

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Reference 12

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This paper cites SIAM Journal on Scientific Computing 40(6), A3789–A3806 (2018).

Bregman Itoh--Abe methods for sparse optimisation SIAM Journal on Scientific Computing 40(6), A3789–A3806 (2018)

Reference 13

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This paper cites Classics in Applied Mathematics.

Bregman Itoh--Abe methods for sparse optimisation Classics in Applied Mathematics

Reference 16

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Reference 17

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Reference 19

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This paper cites Explicit Stabilised Gradient Descent for Faster Strongly Convex Optimisation.

Bregman Itoh--Abe methods for sparse optimisation Explicit Stabilised Gradient Descent for Faster Strongly Convex Optimisation

Reference 20

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Reference 21

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Bregman Itoh--Abe methods for sparse optimisation SIAM, Philadelphia, PA, USA 14 Martin Benning et al

Reference 22

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Bregman Itoh--Abe methods for sparse optimisation 31, 2nd edn

Reference 28

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Bregman Itoh--Abe methods for sparse optimisation Neurocomputing 164, 45 – 55 (2015)

Reference 29

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Bregman Itoh--Abe methods for sparse optimisation Springer Publishing Company, In- corporated, Berlin (2007)

Reference 31

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Bregman Itoh--Abe methods for sparse optimisation A sparse Kaczmarz solver and a linearized Bregman method for online compressed sensing

Reference 34

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Bregman Itoh--Abe methods for sparse optimisation arXiv e- prints (2018)

Reference 35

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Reference 36

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Bregman Itoh--Abe methods for sparse optimisation Unresolved cited work

Reference 37

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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 99d61dd9-114a-45f0-837f-f3ffaf56f3eb · outbound

This paper cites an unresolved cited work.

Bregman Itoh--Abe methods for sparse optimisation Unresolved cited work

Reference 38

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

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Observation 58749843-955e-4fa9-9a41-03a93b4b3ffa · outbound

This paper cites In: So- viet Mathematics Doklady, vol.

Bregman Itoh--Abe methods for sparse optimisation In: So- viet Mathematics Doklady, vol

Reference 39

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

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Observation e274d5b0-b869-4183-8142-ac5819cac833 · outbound

This paper cites an unresolved cited work.

Bregman Itoh--Abe methods for sparse optimisation Unresolved cited work

Reference 40

Resolution
unresolved
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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 9534872f-2b4c-4f09-a28d-51ef8c97e3a5 · outbound

This paper cites Multiscale Model.

Bregman Itoh--Abe methods for sparse optimisation Multiscale Model

Reference 41

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verified fuzzy
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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 34bec92f-afe4-418d-94c5-9417646fe9d1 · outbound

This paper cites IEEE Trans.

Bregman Itoh--Abe methods for sparse optimisation IEEE Trans

Reference 42

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 2742340d-fd42-410e-8951-2c809003900b · outbound

This paper cites an unresolved cited work.

Bregman Itoh--Abe methods for sparse optimisation Unresolved cited work

Reference 43

Resolution
unresolved
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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 7bff0f84-4c1e-435b-a92f-20d5a82e5d0b · outbound

This paper cites an unresolved cited work.

Bregman Itoh--Abe methods for sparse optimisation Unresolved cited work

Reference 44

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 380ca6f9-347d-4b63-ba21-305a7b6bdc9a · outbound

This paper cites A geometric integration approach to nonsmooth, nonconvex optimisation.

Bregman Itoh--Abe methods for sparse optimisation A geometric integration approach to nonsmooth, nonconvex optimisation

Reference 45

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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 d1c94190-34f1-4664-8eec-9fb91523cec7 · outbound

This paper cites an unresolved cited work.

Bregman Itoh--Abe methods for sparse optimisation Unresolved cited work

Reference 46

Resolution
unresolved
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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 538a2f3a-55b8-41e4-9dcf-aa7074cbf911 · outbound

This paper cites In: Annales de l’Institut Henri Poincare (C) Non Linear Analysis, vol.

Bregman Itoh--Abe methods for sparse optimisation In: Annales de l’Institut Henri Poincare (C) Non Linear Analysis, vol

Reference 47

Resolution
verified fuzzy
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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 8da85dcf-02b7-4190-9b1c-8fd4f078d6f3 · outbound

This paper cites Princeton Landmarks in Mathematics and Physics.

Bregman Itoh--Abe methods for sparse optimisation Princeton Landmarks in Mathematics and Physics

Reference 48

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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 7c963652-e376-4089-8fad-ca849f87a290 · outbound

This paper cites an unresolved cited work.

Bregman Itoh--Abe methods for sparse optimisation Unresolved cited work

Reference 49

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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This paper cites In: International Conference on Scale-Space Theories in Computer Vision, pp.

Bregman Itoh--Abe methods for sparse optimisation In: International Conference on Scale-Space Theories in Computer Vision, pp

Reference 50

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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 586f9b87-93a5-4ee0-8f20-607ae3d1d7c1 · outbound

This paper cites Inverse Problems 34(4), 179–212 (2018).

Bregman Itoh--Abe methods for sparse optimisation Inverse Problems 34(4), 179–212 (2018)

Reference 51

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verified fuzzy
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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 3493fec7-6010-453c-96f4-0c599f2c6cd6 · outbound

This paper cites an unresolved cited work.

Bregman Itoh--Abe methods for sparse optimisation Unresolved cited work

Reference 52

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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This paper cites In: Ad- vances in Neural Information Processing Systems, pp.

Bregman Itoh--Abe methods for sparse optimisation In: Ad- vances in Neural Information Processing Systems, pp

Reference 53

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

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Observation 4db358b8-30c2-4abd-a632-f9c5842ab476 · outbound

This paper cites an unresolved cited work.

Bregman Itoh--Abe methods for sparse optimisation Unresolved cited work

Reference 54

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 f183df5b-5195-49cb-8102-05ff7a7fa377 · outbound

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Bregman Itoh--Abe methods for sparse optimisation Unresolved cited work

Reference 55

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 20529c35-ca98-465e-9b97-a89f7a587b71 · outbound

This paper cites Proceedings of the National Academy of Sciences 113(47), E7351–E7358 (2016).

Bregman Itoh--Abe methods for sparse optimisation Proceedings of the National Academy of Sciences 113(47), E7351–E7358 (2016)

Reference 56

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 726f29eb-8bc5-4f80-b87c-e306636a3cab · outbound

This paper cites A Lyapunov Analysis of Momentum Methods in Optimization.

Bregman Itoh--Abe methods for sparse optimisation A Lyapunov Analysis of Momentum Methods in Optimization

Reference 57

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no resolver link, observed 2026-08-14T13:50:34.689420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9758a844-1a12-4d3b-ba97-d354a2c23ff5 · outbound

This paper cites Mathe- matical Programming 1(151), 3–34 (2015).

Bregman Itoh--Abe methods for sparse optimisation Mathe- matical Programming 1(151), 3–34 (2015)

Reference 58

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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 d18ee040-abfc-484a-b2b2-f24dd43d3615 · outbound

This paper cites an unresolved cited work.

Bregman Itoh--Abe methods for sparse optimisation Unresolved cited work

Reference 59

Resolution
unresolved
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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 566e39b3-d6c3-4596-8ddb-43138d18debb · outbound

This paper cites Computer science and applied mathe- matics.

Bregman Itoh--Abe methods for sparse optimisation Computer science and applied mathe- matics

Reference 60

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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 649a74ae-626e-49a0-92f4-5053a4ee5202 · outbound

This paper cites an unresolved cited work.

Bregman Itoh--Abe methods for sparse optimisation Unresolved cited work

Reference 61

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unresolved
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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.