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Paper Citation Record · LEDGER

Concentration of the adjacency matrix and of the Laplacian in random graphs with independent edges

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:0911.0600.

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

pith.paper-citation-record.v1
0911.0600 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 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T00:25:24.000820Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T06:59:37.628559Z

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 8392e226-688b-402b-aeb4-a8c0f0ba550f · inbound

Sharp concentration for sums of matrices with Markovian dependence through universality cites this paper.

Sharp concentration for sums of matrices with Markovian dependence through universality Concentration of the adjacency matrix and of the Laplacian in random graphs with independent edges

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-05-24T07:29:07.311196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T07:26:16.095940Z digest=sha256:6fae02df8efa705fc298c77359f0bbb8e9c0d8ef6445ebbf35ad3473474f9004

Observation 5cb807d6-a4f5-46b3-9fcc-190bf44100d0 · inbound

Edge Exchangeable Graphs: Connectedness, Gaussianity and Completeness cites this paper.

Edge Exchangeable Graphs: Connectedness, Gaussianity and Completeness Concentration of the adjacency matrix and of the Laplacian in random graphs with independent edges

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-23T05:25:26.423164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T05:23:27.188517Z digest=sha256:311726d2bb2b77639b98552209e756a93f969cf3ed8accd8a81a9786e79f82ea

Observation 395376ff-334f-4f3a-b84c-90257b5bd29c · inbound

Intrinsic-dimension empirical Bernstein inequalities for bounded self-adjoint operators cites this paper.

Intrinsic-dimension empirical Bernstein inequalities for bounded self-adjoint operators Concentration of the adjacency matrix and of the Laplacian in random graphs with independent edges

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-19T16:12:39.263177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T16:09:01.081129Z digest=sha256:7ea4ed23e55f5972e6920edcbd6bd0e0064b2272daba6217d058c43301450cf3

Observation 2a3ccd88-1621-4d0b-8d4c-279e7812de34 · inbound

Restart and Adaptive Acceleration in Stochastic Gradient Methods cites this paper.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Concentration of the adjacency matrix and of the Laplacian in random graphs with independent edges

Reference 198

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T06:59:37.629888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-26T14:00:19.385619Z digest=sha256:81cacac5ec86386fa0af6494f48e45410aec10a1aaaca8df13b15ecb5e744708

Observation 7e9c30b1-3121-455b-956a-64ba04892426 · inbound

Strongly convergent matrix models for $q$-Gaussian algebras cites this paper.

Strongly convergent matrix models for $q$-Gaussian algebras Concentration of the adjacency matrix and of the Laplacian in random graphs with independent edges

Reference 1990

Resolution
unresolved
no resolver link, observed 2026-08-02T00:25:24.000820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:25:24.000820Z digest=sha256:77b4792ff61feb02359ae03dd618e15f63871b92d5fdba596cb3fadb82af04c0