Paper Citation Record · LEDGER

Latent Space Network Modelling with Hyperbolic and Spherical Geometries

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2109.03343.

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

pith.paper-citation-record.v1
2109.03343 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:14:33.478811Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T08:43:10.224554Z

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 6c20da4b-c455-4e3a-86ed-7ca384671189 · inbound

Generating social networks with static and dynamic utility-maximization approaches cites this paper.

Generating social networks with static and dynamic utility-maximization approaches Latent Space Network Modelling with Hyperbolic and Spherical Geometries

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T13:14:33.478811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2753a514-56a7-4b25-b250-a1d664a29066 · inbound

Hyperbolic Latent Space Models for Network Embedding: Model Specification and Bayesian Inference cites this paper.

Hyperbolic Latent Space Models for Network Embedding: Model Specification and Bayesian Inference Latent Space Network Modelling with Hyperbolic and Spherical Geometries

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T01:22:01.527651Z

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.

Observation 5a0c1ea3-e576-4daa-b071-6eabcf2bbf3a · inbound

Bayesian Latent Space Models for Graphs Are Misspecified: Toward Robust Inference via Generalized Posteriors cites this paper.

Bayesian Latent Space Models for Graphs Are Misspecified: Toward Robust Inference via Generalized Posteriors Latent Space Network Modelling with Hyperbolic and Spherical Geometries

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-20T08:43:10.226091Z

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.

Observation ab23663e-db41-4c89-a0e1-99be25691119 · inbound

Latent space models for networks with nodal multiplicative effects cites this paper.

Latent space models for networks with nodal multiplicative effects Latent Space Network Modelling with Hyperbolic and Spherical Geometries

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T22:47:25.914246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.