Paper Citation Record · LEDGER

igraph enables fast and robust network analysis across programming languages

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.10260.

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

pith.paper-citation-record.v1
2311.10260 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:12:44.270712Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T00:46:23.565235Z

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 47e37ab4-3472-4a9e-96cd-42e754cd127d · inbound

Improving exponential-family random graph models for bipartite networks cites this paper.

Improving exponential-family random graph models for bipartite networks igraph enables fast and robust network analysis across programming languages

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-09T14:12:44.270712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c200370-9f0e-4ac6-8d01-b618eef4be53 · inbound

Advancing Digital Precision Medicine for Chronic Fatigue Syndrome through Longitudinal Large-Scale Multi-Modal Biological Omics Modeling with Machine Learning and Artificial Intelligence cites this paper.

Advancing Digital Precision Medicine for Chronic Fatigue Syndrome through Longitudinal Large-Scale Multi-Modal Biological Omics Modeling with Machine Learning and Artificial Intelligence igraph enables fast and robust network analysis across programming languages

Reference 167

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:22.238198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9448f465-406e-48bb-a34e-946d92ff81d8 · inbound

Scalable Spatial Stream Network (S3N) Models cites this paper.

Scalable Spatial Stream Network (S3N) Models igraph enables fast and robust network analysis across programming languages

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T16:43:03.731133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dd87594-cd7f-486d-bdf9-c0c90dc52c54 · inbound

Economic Disparities and Their Relationship to Destructive Health Behaviors in Five Western U.S. States cites this paper.

Economic Disparities and Their Relationship to Destructive Health Behaviors in Five Western U.S. States igraph enables fast and robust network analysis across programming languages

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:46:23.567428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9e51bc63-7961-41b8-b44e-c2301acbbfc0 · inbound

Economic Disparities and Their Relationship to Destructive Health Behaviors in Five Western U.S. States cites this paper.

Economic Disparities and Their Relationship to Destructive Health Behaviors in Five Western U.S. States igraph enables fast and robust network analysis across programming languages

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T09:35:49.813215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 384ff3f9-6af2-49e2-bff7-8350914cd617 · inbound

Tournaments determined by three and five voters cites this paper.

Tournaments determined by three and five voters igraph enables fast and robust network analysis across programming languages

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-30T23:55:08.009139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dee0713f-d88e-4b56-85e5-ddd7cd5c3d19 · inbound

Physics-Based Molecular Fingerprints from Spectral Graph Theory Provide Efficient Geometry-Aware Measures of Chemical Similarity cites this paper.

Physics-Based Molecular Fingerprints from Spectral Graph Theory Provide Efficient Geometry-Aware Measures of Chemical Similarity igraph enables fast and robust network analysis across programming languages

Reference 1695

Resolution: unresolved; no resolver link, observed 2026-08-08T15:08:28.677466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.