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Paper Citation Record · LEDGER

Projected Gradient Descent Algorithm for Low-Rank Matrix Estimation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.02704.

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

pith.paper-citation-record.v1
2403.02704 v1

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:04:34.000402Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:02:45.989455Z

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 d5e61dc6-e813-4b77-8cd8-98b83b983731 · inbound

Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent cites this paper.

Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent Projected Gradient Descent Algorithm for Low-Rank Matrix Estimation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-09T19:04:34.000402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:04:34.000402Z digest=sha256:c7defc9d556a197cc65fe062b1f7b6b2ea2f1fe6f879f92398acf9b1ea686356

Observation 298b28a4-dae1-44e9-beae-477a03d80639 · inbound

Balanced LoRA: Removing Parameter Invariance to Accelerate Convergence cites this paper.

Balanced LoRA: Removing Parameter Invariance to Accelerate Convergence Projected Gradient Descent Algorithm for Low-Rank Matrix Estimation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:02:45.991165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T23:02:13.044074Z digest=sha256:68eb95abea428301ec51879531c02b8f080760ae173853014c947322428f93ba