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Paper Citation Record · LEDGER

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods

As of 5 August 2026, this Paper Citation Record lists 100 of 201 outbound references and 1 inbound Pith citation observation for arXiv:2605.08474.

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

pith.paper-citation-record.v1
2605.08474 v1

Coverage vector

measured 100 of 201 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T00:56:13.855741Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:05:53.003364Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 201 outbound references displayed

  • verified exact5
  • verified fuzzy86
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f9701a7-6812-4c3c-a61e-35d83db3dea3 · outbound

This paper cites an unresolved cited work.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Unresolved cited work

Reference 1

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:3ea575d37d7310cdc80c95b4041feed000e856c3ec3585181ee94d92cbdb9911

Observation 43d5d90f-aeb8-40f5-aaef-e15dd820d3d5 · outbound

This paper cites Mathematical Programming , volume =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Mathematical Programming , volume =

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:f37608e19a45e9e839abe10580d23dd5b64908e1661cdde58b619b06b71ee7fd

Observation 8e51400e-5a6a-4e9c-ba16-11c103b1c84c · outbound

This paper cites Submitted manuscript , year =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Submitted manuscript , year =

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:28c5e4356f9e0b2f37e52a9985a2ffea17a32b3eb6b03dfc2e887a379f2c80f2

Observation f36e5430-83d1-4139-a974-0fbaa32b7de9 · outbound

This paper cites SIAM Journal on Optimization , volume =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods SIAM Journal on Optimization , volume =

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:e2a535b8f407a6e3e71fea2fc7d86bc9c928dde2be2ee012fd4dc06591b8a6d6

Observation d7756e36-9d83-4a13-bae2-530c0ca2b7e6 · outbound

This paper cites On efficiency of nonmonotone.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods On efficiency of nonmonotone

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:2d79569ce5657b963b925948de2b56af6300dfb50ca2de9d4de3dbca506b6fcf

Observation 810f427a-4059-403f-bc52-aa417594567d · outbound

This paper cites Mathematical Methods of Operations Research , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Mathematical Methods of Operations Research , volume=

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:601d83bd8080323c1dae555b1dc125590d8acaf39ecd07bb047f490a9655799a

Observation 36b0b21f-25f1-4f4f-89e5-c884f6539f92 · outbound

This paper cites Asymptotic Convergence Analysis of High-Order Proximal-Point Methods Beyond Sublinear Rates.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Asymptotic Convergence Analysis of High-Order Proximal-Point Methods Beyond Sublinear Rates

Reference 7

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verified exact
arxiv_id, observed 2026-07-30T01:18:54.772655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:377b008d5ca9a9204821e0165bbd1636f42cd204bf384ee682e647dcdffc94d2

Observation b7382ca8-e5ad-4e33-8052-6d1b6e31ce6b · outbound

This paper cites and de Brito, J.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and de Brito, J

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:847e90971a2ef77d021fa832dc0b18b9f11166ea0ef1a6fa2091b412c3c65451

Observation 1f7285b4-540b-45e1-9120-01e1325dd4e5 · outbound

This paper cites and Hadjisavvas, N.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Hadjisavvas, N

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.161400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:db7809de316cce4258cc869f0ca8ac0dfbb06fda666fabf719335a59806e789d

Observation 19ec82c3-bbe3-4f48-a1b7-43db055f9787 · outbound

This paper cites SIAM Journal on Optimization , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods SIAM Journal on Optimization , volume=

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:b40c4288848106e700d67b7b0b0e8e32dfc97fc70c946a3056cca10763a43249

Observation 38018bc8-97d2-449b-a618-4ec3924a2692 · outbound

This paper cites Numerical Algorithms , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Numerical Algorithms , volume=

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:b6c54a764610a7c100ace02857cb83537e5e75fcb39ca47645a9ca6fddb16999

Observation 8dd57901-4233-4a1b-8bff-af489cdf27b3 · outbound

This paper cites title =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods title =

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:ac265cf1d3c0fcba5c4d42b4e19b5db02d390c1f002a7140a9534d89d9081ea0

Observation bcebc1f2-6a51-45a9-ba48-6b33e5069e2d · outbound

This paper cites A Unified Analysis of Descent Sequences in Weakly Convex Optimization, Including Convergence Rates for Bundle Methods , journal =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods A Unified Analysis of Descent Sequences in Weakly Convex Optimization, Including Convergence Rates for Bundle Methods , journal =

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:cb22f715952d83388ed5c2d4c2d363f051a66655f12749c20219d0124b3cda95

Observation df8242c4-6d37-4a57-a4f8-601ec1b84841 · outbound

This paper cites title =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods title =

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.221653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:08dd9c3c038649e516579f32c5d389bfd99266ea351c7da7c05ca48d27c93bca

Observation acf3dc5d-0a5a-4803-9f3e-7e22f0fa1d64 · outbound

This paper cites journal =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods journal =

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:b8726c4e6b1bcbe603e0c4d552b6972a8788bd24efee45c9b0defdc19fda8e0c

Observation 19c347d2-7ab3-4f4a-a236-f259f82b7ceb · outbound

This paper cites Proximal alternating minimization and projection methods for nonconvex problems: An approach based on the.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Proximal alternating minimization and projection methods for nonconvex problems: An approach based on the

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:83b2201591234b8dad37f7aee229b687e58021648cad86eccaf5935c9dfacd52

Observation c85f0683-7c8c-457b-afad-fb78e76a133d · outbound

This paper cites and Bolte, J.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Bolte, J

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:4e72ab61ff8aed67415df41aab2b8c5abeae4f139a7f66e19f15f0249d7e8fca

Observation 62670ed0-6122-4f5a-b6b9-40e86e7187b0 · outbound

This paper cites 2024 , publisher=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods 2024 , publisher=

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:c3afd32723f891605bdbc2ac4c20cfd01d6cd7e578b62ee3f299ba60b8824ec1

Observation deb2453d-5e2f-4a29-bac2-70089cf7c8df · outbound

This paper cites SIAM Journal on Control and Optimization , volume =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods SIAM Journal on Control and Optimization , volume =

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.203599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:0c4ed704fb771406677ce6f9ae9b8903d9e726e392fb82b0041676e0ecc52007

Observation 6620040c-a2ed-4ad0-9f76-ecf3c4f2507d · outbound

This paper cites Mathematical Programming , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Mathematical Programming , volume=

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:6869df030b96e29c48c2d1e2f64ac1c4621ebf58966a54bda72744ea6e9ef5c5

Observation 874acf7b-d5a4-41bf-996f-585aeab74a89 · outbound

This paper cites Mathematical Programming , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Mathematical Programming , volume=

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:9994624a3cf11e6a7c0fb48f32055ab6ed58594b02725ac2e96aa7fe5f63408c

Observation d02151f9-d075-4f19-a833-7f6fe90f0be2 · outbound

This paper cites an unresolved cited work.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-05-14T09:17:58.248011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:7e1a53bbef67d32b5807775c900f7d20dae6b619d66699eb82e307e14db08385

Observation 85e4b2fe-3667-4b4b-ad25-ef436106c76f · outbound

This paper cites and Combettes, P.-L.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Combettes, P.-L

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.254780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:4fd104fefbadf80d9d10862ccccef7b40e53d92fbe810dfe1503d9da80da96a1

Observation 37423667-ed82-4240-9b4a-3872289dd52b · outbound

This paper cites Set-Valued and Variational Analysis , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Set-Valued and Variational Analysis , volume=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.258547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:d3e4f5ceef097990b02ba816460f2da49e99cf6b7a8e83d96f89eff24e5807e1

Observation 349c8311-8c0b-4842-b823-b52dae66ad6f · outbound

This paper cites Mathematical Programming , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Mathematical Programming , volume=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.215265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:1540c449cfdeb2eef6250ae668cfcf1db337eff830f888ad1fa168d753abac4f

Observation 0e2d537b-eab9-48ce-8e60-602a5d113eee · outbound

This paper cites SIAM Journal on Imaging Sciences , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods SIAM Journal on Imaging Sciences , volume=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.209130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:ebe0d474f1ee550db623cd24271ac06b72d5df2b59ac8ef46bb78d8e9eacee06

Observation feb15fb6-80af-417d-a376-46eb1a8767c5 · outbound

This paper cites SIAM Journal on Optimization , volume =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods SIAM Journal on Optimization , volume =

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.127850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:a4ef92bbb4c0158c198fee7f8f272f0611fa59a876f801984c5b780649822c29

Observation 58f462ab-4531-45d5-919b-6c09a62fb1c8 · outbound

This paper cites 2017 , publisher=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods 2017 , publisher=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.261797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:a063631b9ca2fb4dc598f5831ffa4b6dd228806cd2b8d8a9874497d58382dde4

Observation 3b316be0-bd64-49c0-88b5-a27286f7164c · outbound

This paper cites Optimization: Proceedings of the Fifth French-German Conference held in Castel-Novel (Varetz), France, Oct.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Optimization: Proceedings of the Fifth French-German Conference held in Castel-Novel (Varetz), France, Oct

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.223276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:ab7095bf76907654cb4ea49ee9d2da460ad7cb253a11c6bc49a9d583c2a68629

Observation 2da3b2ab-f962-444b-8feb-d0da0dd69889 · outbound

This paper cites Foundations of Computational Mathematics , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Foundations of Computational Mathematics , volume=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.159897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:85f04b580dcf1f5767e651bfe751d938eb9a08624cabb15dcd8d9d3ad4f6aaec

Observation 3fa4df67-8c5e-4244-9e5c-a3d93566f4ea · outbound

This paper cites Nondifferentiable Optimization , pages=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Nondifferentiable Optimization , pages=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.182593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:1e6d8bff95b7403d451e4cb1b1814123054c8da82eb8e567b26ad0cc7e92e59f

Observation 4c4143a2-53e9-4e45-975d-a562fb7b7201 · outbound

This paper cites Second-order methods for provably escaping strict saddle points in composite nonconvex and nonsmooth optimization.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Second-order methods for provably escaping strict saddle points in composite nonconvex and nonsmooth optimization

Reference 32

Resolution
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arxiv_id, observed 2026-05-12T08:36:25.862037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:890135b0fc218441b768bca6b39c951c3c30e9038fd6911ed720458aa8a3ca01

Observation 94b84e15-ab56-4155-8842-5cbbdf977d96 · outbound

This paper cites title =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods title =

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.185970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:8118c6cf7c0430677ace8f1ff1d4410f6b56fd5fdd38643e2f6fadbcfa5c4440

Observation ea3bd607-dd2e-42ed-9edd-f3af15a2e72c · outbound

This paper cites SIAM Journal on Optimization , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods SIAM Journal on Optimization , volume=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.228039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:003dd5ef6cc6e346d27c14bc45e8f06aa879a576c767fa07671c48d1695c9bfb

Observation 24adad36-7308-474b-9d13-b2b57d6a3536 · outbound

This paper cites Proximal alternating linearized minimization for nonconvex and nonsmooth problems , journal =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Proximal alternating linearized minimization for nonconvex and nonsmooth problems , journal =

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.198728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:8e2fd860a36ccb1d5a2702bb843afdfccbd7543205687f2b4a42465461646169

Observation 9419bde0-b2d7-40a6-b656-bd7cbf497f29 · outbound

This paper cites SIAM Journal on Optimization , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods SIAM Journal on Optimization , volume=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.229905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:01228c1ca753eb1fbca45399fc3dcb7379bdb1e25b8dcbc506e1d09c6819a44f

Observation eced144b-010a-4baf-9e58-56c63524e614 · outbound

This paper cites TOP , volume =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods TOP , volume =

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.130076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:648444344bac16a12287ca238ed8770ecf4f72262d5cc26aebde4d9179cf71a1

Observation b604edc1-43a0-4213-bf15-83b3cac73d8f · outbound

This paper cites Journal of Scientific Computing , year =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Journal of Scientific Computing , year =

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.212285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:4ce9f4e1c98ed402ebc3638ea16ba257eca8225dcd869632c9591c30b668a2e6

Observation ab12814c-4955-4b5e-951e-ddb28e20e3cb · outbound

This paper cites 2004 , publisher=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods 2004 , publisher=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.114992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:683ce79171f8bb8987ec1d165740eab4620dc9772a7260097f120dd36b5921ad

Observation 5803147c-2b70-4c58-99f8-819a0a84067c · outbound

This paper cites Inverse Problems , volume =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Inverse Problems , volume =

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.239782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:6be7006a50e029fb8b047ba8fa161cec38deffee765f17c46b54e9f39009a1ab

Observation 05a977d3-c46b-42d5-990f-89ffdb339f48 · outbound

This paper cites and Naldi, Emanuele , title =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Naldi, Emanuele , title =

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.111243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:d16b09ac4316e13ecf217d64eb862a0c99b02f315f0c9b56d48dbdac80ac8670

Observation 259e362c-9841-4774-a859-4974422a2891 · outbound

This paper cites Extending Linear Convergence of the Proximal Point Algorithm: The Quasar-Convex Case.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Extending Linear Convergence of the Proximal Point Algorithm: The Quasar-Convex Case

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-05-12T08:36:25.853702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:6154a61b981a18ba14b3b2827d3a112e9cd4833266d03ea26f8ed57d856aa3c0

Observation fb6255bf-7ef4-4114-9853-b2eac7764350 · outbound

This paper cites an unresolved cited work.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-05-14T09:17:58.116937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:d2f663932798971c4ca4544ac7506da5fb1186a6e38e548b82c3b532f87be6cd

Observation 362cd924-7123-4520-8990-f76cd5c73110 · outbound

This paper cites Journal of Optimization Theory and Applications , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Journal of Optimization Theory and Applications , volume=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.241574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:34d0f315e400ee25c169b1b4e8d69a131201ef2aba994a252de1d047e015f3ea

Observation ef793e53-a3d5-42e8-a8d3-12f7b97b97fe · outbound

This paper cites and Hoheisel, Tobias , title =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Hoheisel, Tobias , title =

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.306533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:4866be3f713c669f5352d9a1b6df7106532b47d8ceac51671d33d8fd38c3dc63

Observation 839990c7-b8de-4101-b9aa-94795939c112 · outbound

This paper cites Mathematical Programming , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Mathematical Programming , volume=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.298537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:068e5ca5499bb9895bf6004c4d463915bc4d8826e785d49091ba4033b5d7bb5e

Observation df49d605-1a4c-4c04-bf61-a883266d1f22 · outbound

This paper cites International Journal of Mathematical Sciences , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods International Journal of Mathematical Sciences , volume=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.301491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:ccf7bdb4667c640cce14f3096dfe63d8bbb59212fa9d8f2a0049e005eb65d99b

Observation c4f1eea7-3db9-4fa9-a408-c9452723152b · outbound

This paper cites 2009 , publisher=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods 2009 , publisher=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.332789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:5e06f055c6c6f73f46eb5e23dd51b08ec154064e8657d930368c26dd3c90a262

Observation 877b7ae5-0653-4c64-b53f-84f5a66754d2 · outbound

This paper cites title =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods title =

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.246470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:9a46120f167d338be866f48bd9773a82eb129bd42ed8774db34423724af7db34

Observation 1d31c402-75f9-4a9a-a7c0-ebb4f103a93c · outbound

This paper cites and Zhu, W.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Zhu, W

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.244841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:460c031680e81b5ab1f45fbdd1e37a911b507674c0b8803f303d2fc507933022

Observation c869957d-865f-4773-b0ab-7162fad2fefa · outbound

This paper cites and Zhu, W.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Zhu, W

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.107858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:29dcfe39a95085f1dfd5e09cf1da555c170bf532f6bdc4bee13f8127d711e924

Observation aaeb807b-8d79-42d3-bb4c-41b5841eef5d · outbound

This paper cites Similarity and Matching of Neural Network Representations.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Similarity and Matching of Neural Network Representations

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:36:25.833909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:bff6343da5927eaba57951a0462f83f7b54c62e6a37532916c9beac8d460163f

Observation 479420f0-134a-4dad-9945-a0adcf001269 · outbound

This paper cites title =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods title =

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.295242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:780cd72a2601109e9005d5a43e0a3248d6be1300336b6a21a4c871e78f84da0a

Observation a9d172ec-7291-4e9f-ba8d-4faf264d2b3c · outbound

This paper cites 2013 , publisher=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods 2013 , publisher=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.320800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:4b26e1fc393d73c62bdc1d2baac137885b629d15170d5c64d33bcac0f4d4b83a

Observation 436fd450-1200-4a6b-9ca5-be202618760b · outbound

This paper cites an unresolved cited work.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-05-14T09:17:58.408152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:b94bc44f698c07218b54829c77e40d235cddfb9a26341752a558fe74a50dbb4d

Observation 8f030045-22a8-45b0-bfc2-fcf451bb9c73 · outbound

This paper cites Continuity and differentiability of quasiconvex functions.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Continuity and differentiability of quasiconvex functions

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.249651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:d3dcd7687f6d6eae5532c026465bf0a760834c62ef515f845a1400f08e996afe

Observation 3d31d4fe-4e1b-4326-b959-40fb15a6fe83 · outbound

This paper cites and Paquette,Courtney , title =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Paquette,Courtney , title =

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.252968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:df830527ae51f3cd892573c41cb43ccc7a22bf39514b7fa53dfdae8d0a1bc6bf

Observation 2a137eaf-6b76-4fa7-a5f1-44f63b51ae4c · outbound

This paper cites Foundations of Computational Mathematics , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Foundations of Computational Mathematics , volume=

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.098646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:a51cee76c7ec625775e113a392639e72f73dc456663a7f779f9df7cceed590d8

Observation 7f85b1a5-351a-425e-8f8e-31097ed0504d · outbound

This paper cites Escaping Strict Saddle Points of the.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Escaping Strict Saddle Points of the

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.102541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:e16ef13f21ad8507a8b75d114e0fd2726aec3613218ef747df72c1dcf620f429

Observation 60b0abfe-4875-43c7-9f21-a843b68f7db7 · outbound

This paper cites 2012 , publisher=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods 2012 , publisher=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.100771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:edef4a3bfa36b51b41fe631925d605217e50f9cea0378b02548bdfa2963f045d

Observation 63c6b933-6a5f-49fb-9f99-71d320623078 · outbound

This paper cites The proximal point method revisited.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods The proximal point method revisited

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:36:25.828004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:c18dbc51783f9e4122b91386ceac6bec30acdfb1ccffc1f5a16aa67e22f2b2a1

Observation 8a1bb3cc-6b7d-466a-ae3d-cf15472bff1a · outbound

This paper cites Mathematical Programming , volume =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Mathematical Programming , volume =

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.118554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:49e987eaf142a1a653956e5c4f59c1a6e55f1e5b47a249f0748f284f86f576c4

Observation a5cd711c-418c-4167-9de6-29ba6c2cdde1 · outbound

This paper cites and Namkoong, H.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Namkoong, H

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.142610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:9b75d7f138a381caa272d305a4d3e49a7220a1675742df12149e1b0fa5da6f14

Observation 445211be-af9f-49ea-b94b-491896fb4983 · outbound

This paper cites an unresolved cited work.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-05-14T09:17:58.177589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:9240fd9a85040bf114fb624fca04c4d69aba55b60d170612f5d5bc7e21573a17

Observation 42debc3d-5385-45c1-91b8-03e7cd2cdcc1 · outbound

This paper cites Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-06-24T02:14:20.635556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:f5b94ee928712c9ef8a9b1b067996feb46ad6ca7782866a88e1d60c7f8205e0d

Observation 43cfd09b-6d9f-40c3-88a6-567f962a417e · outbound

This paper cites SIAM Journal on Optimization , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods SIAM Journal on Optimization , volume=

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.393503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:a71d6f035cd9a91a8044343e9164d4da95ac355226a33136b43e5a9ad89e0d19

Observation d6954cc1-41bb-463e-b46b-2c3115850198 · outbound

This paper cites International Journal of Systems Science , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods International Journal of Systems Science , volume=

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.403385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:f16c6495eb00141ae8c919a7d5083f4084151233ba1ea429ecaaf0bad4376a94

Observation 8afa34f4-934d-48e0-99f2-5dabaedbd64b · outbound

This paper cites Applied Mathematics and Computation , volume =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Applied Mathematics and Computation , volume =

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.372222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:bb2c8b467b9c6c3c9208e6bbca311183aba43d9189042e91fb61cd93d6474fba

Observation 77cacbf2-eb65-4598-bf6a-17b97398c491 · outbound

This paper cites Journal of Information and Optimization Sciences , volume =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Journal of Information and Optimization Sciences , volume =

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.364276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:57e4ccf02c10015fffb339ea405487be46b84710f9ab9d0f06f0658ba79d3895

Observation 2c54e3b0-c187-47e9-a915-601f783fdf9c · outbound

This paper cites Dini derivatives in optimization—Part.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Dini derivatives in optimization—Part

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.360892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:4f1f1d6f0071fd8d9b71c9ac02de51b703c0d87cd78b68416979432af7556480

Observation 072905a0-0365-4362-b5ce-f4429f0455c4 · outbound

This paper cites Journal of Optimization Theory and Applications , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Journal of Optimization Theory and Applications , volume=

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.365885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:a1fa0ecb4fec684246d93366fd5ee48d1ff80894bcdb91db9795dd386b4ce22c

Observation b691041b-ee95-4333-afef-8a04ce04fe5e · outbound

This paper cites Multi-Stage Multi-Task Feature Learning , volume =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Multi-Stage Multi-Task Feature Learning , volume =

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.342511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:939d23c75013d179a56d2546de61fad19507e67cc691ac4c59aa4c293ccb10d7

Observation c1bca06c-ca8b-4bdd-9112-489b1aec1d79 · outbound

This paper cites Mathematical Programming , pages=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Mathematical Programming , pages=

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.340837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:1ddd21f3f9546bfc13a0d579e83fc03f8139450a369b29174247c945fe9e03c1

Observation af3c4354-e8e5-4e82-a4ef-2ebdce17af38 · outbound

This paper cites SIAM Journal on Optimization , volume =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods SIAM Journal on Optimization , volume =

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.354705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:049773551f37fc3a0af4dd6d7a1a1c3ca770bace4f5ee9f09a83caa2c6481783

Observation 0889d324-9d69-42e8-b508-fe01b3f0529c · outbound

This paper cites On the Convergence of the Proximal Point Algorithm for Convex Minimization , journal =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods On the Convergence of the Proximal Point Algorithm for Convex Minimization , journal =

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.373871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:0216aaec8e24dd49d00546e5db5ee994d2d6220c2c3f2854b766228babcd7d41

Observation b7b13a4a-5dba-4379-9310-581161041613 · outbound

This paper cites New Proximal Point Algorithms for Convex Minimization , journal =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods New Proximal Point Algorithms for Convex Minimization , journal =

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.327674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:908bcc4c99fe8b583511057cb84758843bf76f5f326606227d6fef94a2e0da17

Observation f511d77d-d485-49c5-8477-a131d086ae3d · outbound

This paper cites Guminov et al.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Guminov et al

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.339173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:2c08e32dbb25919b1c49158dbebe569f6e69682d44f23543b30085de568b6564

Observation 57bf5910-2239-4830-beae-528da8f45693 · outbound

This paper cites Study of the behaviour of.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Study of the behaviour of

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:36:25.848813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:c7434736d757414dc454cf469b1ec90ed8c6420b3cffd277dd338d828dc50ffe

Observation 06c54476-951f-48dc-a998-81ae957511f7 · outbound

This paper cites 2005 , publisher=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods 2005 , publisher=

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.309526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:e63078e242aac64ce40cf000da39d52c761b904f97bb1e91757dc21c6a988610

Observation 1d71159d-07f5-4ac7-8cdb-ef53e17b7454 · outbound

This paper cites and Lara, F.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Lara, F

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.190803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:12baeb514a1e5b969ac6aafb9b07e8cdceadca19418df3280a652fc0e6d6baba

Observation 1e0e9f6d-baef-45ef-82f2-93baea29f8d3 · outbound

This paper cites Journal of Machine Learning Research , year =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Journal of Machine Learning Research , year =

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.398291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:b8b204cd7bebc8438fb21a0ba45e0786e5b81f6fd12b13536c623825efcf5611

Observation 1d6b058c-7793-46dd-8da8-d2ed148f9236 · outbound

This paper cites Proceedings of Thirty Third Conference on Learning Theory , pages =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Proceedings of Thirty Third Conference on Learning Theory , pages =

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.405106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:43195920d92a51252693bd67d1bc86e1983494f759bb82e349d4626dca530117

Observation f1db0c7b-b60a-40db-8110-d400df5d13f7 · outbound

This paper cites 1996 , publisher=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods 1996 , publisher=

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.388204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:381e5dc5239bebaf0b66e8ad845cb940ce88522c79026414b658c290784efaaa

Observation 6c9dd47b-d7e6-40b1-a937-45b25eda2c2e · outbound

This paper cites an unresolved cited work.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-05-14T09:17:58.216762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:9c65c323732d125e8f05843bf426c364d2e049c15c608bae0d984321d23463f6

Observation b6cad0c7-5a05-4fde-9547-ae12c976b149 · outbound

This paper cites and Shi, L.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Shi, L

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.135323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:2fa03c72a2c592e18b909a1c8fedf2e3e99e81da5db75aa656a3b043b00b1f2b

Observation e74c0e01-4bc6-46b0-aea4-67ae308c8da0 · outbound

This paper cites Mathematical Programming , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Mathematical Programming , volume=

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.152670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:86a2cf2ed0eaf7f277eef867becb3b01a11672519561420716b52a9c1af0cd44

Observation 93ed1af6-65f1-442f-83e0-ebb4a8e7f3ea · outbound

This paper cites an unresolved cited work.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-05-14T09:17:58.158056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:3691a560ef7caf6cd15eb6a2dbb0c58f67f797e55becf08f7d5389046f779505

Observation 511db8ad-4873-4ba2-9d6d-e07d388b6900 · outbound

This paper cites Optimization and Engineering , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Optimization and Engineering , volume=

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.218440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:64d540c6fbd7fe050c058052e14f36552e9edbc3e1be3bb2c2d959cfb0b2fd09

Observation 6a446a7d-c715-464b-b121-b2b1b09446d5 · outbound

This paper cites Journal of Convex Analysis , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Journal of Convex Analysis , volume=

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.251427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:3f4f8bcf9478c370978281b9b794c81300f9b9bfcacffe32678f7e23165d1039

Observation c0e34124-c118-4376-96e2-b2a674c54ad8 · outbound

This paper cites Journal of Optimization Theory and Applications , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Journal of Optimization Theory and Applications , volume=

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.256510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:83bd62e19661b84dfc762f3f1e66d39204bbf769bc643c2800f2ece897304b41

Observation cb5a0d66-9645-45ad-8ab0-49741dc41210 · outbound

This paper cites and Lara, F.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Lara, F

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.220148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:9b89ce181d28eecc55451b950a55481eb4ee2d33dd7a6c31d385bc9fd8e28450

Observation 9770f530-52a3-4ba4-837b-f88429b34e19 · outbound

This paper cites Certifying the Absence of Spurious Local Minima at Infinity , journal =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Certifying the Absence of Spurious Local Minima at Infinity , journal =

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.133597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:eed30837958d75853940a8124c56e5a888faf58325782693868e90e1dfeb0ca8

Observation 7279dc0f-8e24-454d-b0d5-bcbe3fb8537a · outbound

This paper cites Control and Cybernetics , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Control and Cybernetics , volume=

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.136995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:e132ee82d1cd9d37615ed048b03899a5399eaf8e67059d8fa36acf2a113e3a76

Observation d281ba43-f6a5-42e5-a801-87676732c46f · outbound

This paper cites Mathematical Notes , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Mathematical Notes , volume=

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.210714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:8b4dc7ddccc7aca9ca59dad36d61980a8ce2b55b66f4f37f7c4b7a94bb010416

Observation 13d06d26-97aa-4706-9b83-2f30d81b3646 · outbound

This paper cites and Ahookhosh, M.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Ahookhosh, M

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.154322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:c351d4785ccec22856d1e620c619664b5aec3adb769fdfcc5b324046cc7dd793

Observation da14e393-ca36-4a89-b738-026ada2dc3ea · outbound

This paper cites and Ahookhosh, M.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Ahookhosh, M

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.224818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:9b3364f1c6c6f23de83f5d83aa7b696ae3048bafd86f33579c03aa22a1682885

Observation 8285274a-9404-4988-8421-1eca43b9c61f · outbound

This paper cites Journal of Global Optimization , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Journal of Global Optimization , volume=

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.187512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:371e4dbb3601e3fb2f9f0dc2d6792461cc3d30a6ccd6d4c2bd86942fc769ee55

Observation d40ff3ed-b1d4-444e-8a5d-11b00579334a · outbound

This paper cites and Ahookhosh, M.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods and Ahookhosh, M

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.163035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:fc3d60edc8bc6aa0a8ffbd218273c4a744b332bc7971ddc20d2f746ff34710d6

Observation 6ae787c9-2b05-4a19-95c0-94c5bdd6bafb · outbound

This paper cites Journal of Global Optimization , volume=.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods Journal of Global Optimization , volume=

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.226381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:1fd79dde132364a28f10152e0e4bc8faf2fab5302e628c2472f31af9f6cd810e

Observation 221578b7-2d77-4b7a-83de-ff7106555ee9 · outbound

This paper cites 2015 , author =.

Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods 2015 , author =

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T09:17:58.131906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T00:56:13.855741Z digest=sha256:e61b90caa5e5081fceba7bc44e0b9a03e25fb2c246ea3a4ec93e496ad4acd90a

Pith citing papers

Observation f87828c3-4401-4468-97fd-aaf9bd71b980 · inbound

Mirror Descent Methods for Quasar Convex Optimization Problems With Non-Smooth Inequality Constraints cites this paper.

Mirror Descent Methods for Quasar Convex Optimization Problems With Non-Smooth Inequality Constraints Robust Learning Meets Quasar-Convex Optimization: Inexact High-Order Proximal-Point Methods

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T14:05:53.003364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:05:53.003364Z digest=sha256:b1459066c4d418448f5c3a896ee582783e3ea59096691e0664126c85717f7bd0