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Paper Citation Record · LEDGER

Localization on low-order eigenvectors of data matrices

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1109.1355.

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

pith.paper-citation-record.v1
1109.1355 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:30:55.986148Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T13:38:19.219055Z

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 c17ce228-0a2e-4e45-9662-34847207001a · inbound

REGE: A Method for Incorporating Uncertainty in Graph Embeddings cites this paper.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Localization on low-order eigenvectors of data matrices

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T20:30:55.986148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:55.986148Z digest=sha256:8ba6bee414a63c2027386cee8f25e56bdaf5d5d924d922837dba71c2323dd55b

Observation a4001831-e0fc-42ff-8e6c-fb7407516cf9 · inbound

Generalizing Perron--Frobenius theory and eigenvector-based centralities to networks with complex edge weights cites this paper.

Generalizing Perron--Frobenius theory and eigenvector-based centralities to networks with complex edge weights Localization on low-order eigenvectors of data matrices

Reference 216

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T13:38:19.220188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-27T07:45:01.783922Z digest=sha256:e595bd4cf9bdf48973021895a83aecf246721e6f71d054f5f9896fb65867d152