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Paper Citation Record · LEDGER

Unified $\ell_{2\rightarrow\infty}$ Eigenspace Perturbation Theory for Symmetric Random Matrices

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1909.04798.

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

pith.paper-citation-record.v1
1909.04798 v2

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 2026-08-02T02:42:59.707124Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:57:44.330215Z

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 a3a6e026-159f-4a0a-b526-6f7c79527f89 · inbound

Statistical Inference for Linear Functions of Eigenvectors with Small Eigengaps cites this paper.

Statistical Inference for Linear Functions of Eigenvectors with Small Eigengaps Unified $\ell_{2\rightarrow\infty}$ Eigenspace Perturbation Theory for Symmetric Random Matrices

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:56:02.432659Z

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=arxiv_source observed=2026-05-24T06:55:46.702025Z digest=sha256:d306daf3d74095635c0e15f30465e9c71bb9175008a2fe98d5ea049ca6a7fc43

Observation a61e324d-af7a-4138-b3e1-4f38a2c6ad16 · inbound

Consistency of Lloyd's Algorithm Under Perturbations cites this paper.

Consistency of Lloyd's Algorithm Under Perturbations Unified $\ell_{2\rightarrow\infty}$ Eigenspace Perturbation Theory for Symmetric Random Matrices

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-24T07:04:03.279147Z

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=arxiv_source observed=2026-05-24T07:00:36.430359Z digest=sha256:019f242c29cb35f29b69ca394d75cf9b269bd2ea6702613be1c1dfab4a1e1eb4

Observation 51946597-bc7a-4cd2-8f3d-6d4d5357cee1 · inbound

Davis-Kahan Theorem in the two-to-infinity norm and its application to perfect clustering cites this paper.

Davis-Kahan Theorem in the two-to-infinity norm and its application to perfect clustering Unified $\ell_{2\rightarrow\infty}$ Eigenspace Perturbation Theory for Symmetric Random Matrices

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:03:12.376763Z

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=2026-05-23T17:02:30.393932Z digest=sha256:29ac2bc95d91c2795482aeca7d64f0181503b0bf1bb89368b71a1473e1963929

Observation 2dafef0a-e327-4b80-9dbf-5cb38b64accf · inbound

Geometric bias in eigenspace perturbation under random heterogeneous noise cites this paper.

Geometric bias in eigenspace perturbation under random heterogeneous noise Unified $\ell_{2\rightarrow\infty}$ Eigenspace Perturbation Theory for Symmetric Random Matrices

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:57:44.331706Z

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=2026-06-27T11:41:02.280688Z digest=sha256:f22986fbe914df0275c4a801947d4aef87e244890aeab76bd576baa7dff5d1cc

Observation ae595f4d-1558-4e82-9a47-386aab77dd31 · inbound

Spectral Concentration and Recovery in Sparse High-Dimensional Random Geometric Graphs cites this paper.

Spectral Concentration and Recovery in Sparse High-Dimensional Random Geometric Graphs Unified $\ell_{2\rightarrow\infty}$ Eigenspace Perturbation Theory for Symmetric Random Matrices

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-02T02:42:59.707124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:42:59.707124Z digest=sha256:d94b8b98a6df094d1d99b69389653aae6441a755b1e11de076dd02113c974585