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Paper Citation Record · LEDGER

General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.07061.

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

pith.paper-citation-record.v1
2411.07061 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:20:44.103140Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:29:38.372772Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ce1f34b2-c3bc-4452-a082-0e5e2cfea8f5 · inbound

PADAM: Parallel averaged Adam reduces the error for stochastic optimization in scientific machine learning cites this paper.

PADAM: Parallel averaged Adam reduces the error for stochastic optimization in scientific machine learning General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T13:20:44.103140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:20:44.103140Z digest=sha256:379480fa2d021037a9e7b65d80c64f1308d3f358a2bab419a52564a6b9a580df

Observation 3319ad9c-3986-4ebd-a358-a586468ca060 · inbound

Analysis of Schedule-Free Nonconvex Optimization cites this paper.

Analysis of Schedule-Free Nonconvex Optimization General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T22:42:10.388011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:42:10.388011Z digest=sha256:de61e301b4a8abc33b087ab9c93d1eb58caa0aabd4ba9b63942285b25df5f734

Observation d61dc3db-fbe3-42fa-8d47-b0117269cad3 · inbound

Central limit theorem for the averaged Adam optimizer cites this paper.

Central limit theorem for the averaged Adam optimizer General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:29:38.374263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T13:29:08.750421Z digest=sha256:78a1bb3d4be15f5947f2d490e9278b912e0f14f1aa2fdf82124ae77fda6a8e2f

Observation d7056fc9-1968-4a9d-a1bb-29c32f76d9ae · inbound

The Convergence Behavior of Adam under Heavy-Tailed Noise cites this paper.

The Convergence Behavior of Adam under Heavy-Tailed Noise General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-01T08:37:46.357849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:37:46.357849Z digest=sha256:7a44427d981b2d2f4d96fb9ce4a9652aaaff077d0b2be0773572c5568ac92ed4

Observation 8009794d-f415-4b92-a176-1dd385029e5e · inbound

The Convergence Behavior of Adam under Heavy-Tailed Noise cites this paper.

The Convergence Behavior of Adam under Heavy-Tailed Noise General framework for online-to-nonconvex conversion: Schedule-free SGD is also effective for nonconvex optimization

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T03:30:54.196645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:30:54.196645Z digest=sha256:3b4609110e57220ae12c46867c5a2026871437009f3bb1f97092ec253ca6c57a