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Paper Citation Record · LEDGER

Guarantees of Riemannian Optimization for Low Rank Matrix Completion

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1603.06610.

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

pith.paper-citation-record.v1
1603.06610 v2

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:17:16.932637Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T09:19:42.890054Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • 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 87b737cb-0561-4445-8879-c71a78ce2863 · inbound

Fast and Provable Tensor-Train Format Tensor Completion via Precondtioned Riemannian Gradient Descent cites this paper.

Fast and Provable Tensor-Train Format Tensor Completion via Precondtioned Riemannian Gradient Descent Guarantees of Riemannian Optimization for Low Rank Matrix Completion

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T16:17:16.932637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:17:16.932637Z digest=sha256:5b3f32e7352acc58bb3e0c9d43fe1dd3561d2935c29311ff6f1c57172350cad3

Observation 4bd66403-04db-4946-ab4c-8062951c9c7a · inbound

Subspace-Constrained Federated Learning with Low-Rank Adaptation cites this paper.

Subspace-Constrained Federated Learning with Low-Rank Adaptation Guarantees of Riemannian Optimization for Low Rank Matrix Completion

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T09:19:42.891288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-26T10:18:24.570122Z digest=sha256:d0120543d7089e16cd094188fb6260c7efb612e42c9c4e055b57ddd239d97780