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Paper Citation Record · LEDGER

Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.10790.

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

pith.paper-citation-record.v1
2104.10790 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:56:28.094778Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:55:24.348344Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 85bf6b30-e480-4139-9ae0-99e21e6a5400 · inbound

LoRA Training Provably Converges to a Low-Rank Global Minimum or It Fails Loudly (But it Probably Won't Fail) cites this paper.

LoRA Training Provably Converges to a Low-Rank Global Minimum or It Fails Loudly (But it Probably Won't Fail) Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T21:56:28.094778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:56:28.094778Z digest=sha256:d5f927f208a645f8535e331ebb69ec1f3565a650a03dee00d0a7bc5f06af030c

Observation f893e9da-4a6f-4fc2-94eb-29192966b9e6 · inbound

A High-Dimensional Statistical Theory for Convex and Nonconvex Matrix Sensing cites this paper.

A High-Dimensional Statistical Theory for Convex and Nonconvex Matrix Sensing Sharp Global Guarantees for Nonconvex Low-rank Recovery in the Noisy Overparameterized Regime

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:55:24.352906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T22:55:24.040641Z digest=sha256:948446605e6aefa66b2cc3f112f92259952115da26a88bd6be75ddc91911a432