Paper Citation Record · LEDGER

Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods

As of 10 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 1 inbound Pith citation observation for arXiv:2604.26735.

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

pith.paper-citation-record.v1
2604.26735 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T11:25:15.156063Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:05:50.645860Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

10 of 10 outbound references displayed

verified exact6
verified fuzzy2
unresolved1
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2868fff8-126b-4523-9eb5-fa6a59f04d94 · outbound

This paper cites Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.

Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment

Reference 1

Resolution: malformed identifier; doi, observed 2026-05-09T03:55:07.912906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 67b93aeb-cf1b-43e6-a74a-4403d15c45be · outbound

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

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

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:21:25.558821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d39e2bb7-5fe5-43be-a746-fad3de1a62fb · outbound

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

Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods Extending Linear Convergence of the Proximal Point Algorithm: The Quasar-Convex Case

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-12T09:21:25.555171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c9c33dc6-30d2-499e-8b11-15d4adb46d98 · outbound

This paper cites an unresolved cited work.

Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-27T07:08:53.241203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aba5f3bc-1cd3-400d-b37a-4a68971b9bfc · outbound

This paper cites Hadjisavvas, F.

Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods Hadjisavvas, F

Reference 5

Resolution: verified exact; doi, observed 2026-05-09T03:55:07.916782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1fc2315f-d782-4aa0-90c0-6ba55744df17 · outbound

This paper cites Numerical Algorithms, DOI: 10.1007/s11075-025-02276-6 , year=.

Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods Numerical Algorithms, DOI: 10.1007/s11075-025-02276-6 , year=

Reference 6

Resolution: verified exact; doi, observed 2026-05-09T03:55:07.919457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 86e6cee5-73fa-4e71-969f-df7e23b1ddd1 · outbound

This paper cites Nesterov,Inexact high-order proximal-point methods with auxiliary search procedure, SIAM Journal on Optimization, 31 (2021), pp.

Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods Nesterov,Inexact high-order proximal-point methods with auxiliary search procedure, SIAM Journal on Optimization, 31 (2021), pp

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:08:53.231469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8b6f934d-b407-4984-b53d-1b5219d4bd28 · outbound

This paper cites Parikh and S.

Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods Parikh and S

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T07:08:53.237329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 081aed8f-95f3-4c4a-98cc-76efad78b000 · outbound

This paper cites Online Non-Stationary Stochastic Quasar-Convex Optimization.

Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods Online Non-Stationary Stochastic Quasar-Convex Optimization

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:21:25.548730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 049c54ee-7bbf-41d3-b82e-3c5229e1761c · outbound

This paper cites Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization.

Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:21:25.552345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 8d530593-9270-4b76-8bd4-a81c80183f8b · 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 Quasar-Convex Optimization: Fundamental Properties and High-Order Proximal-Point Methods

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T14:05:50.645860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.