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Paper Citation Record · LEDGER

Hyperbolic Graph Neural Networks: A Review of Methods and Applications

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2202.13852.

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

pith.paper-citation-record.v1
2202.13852 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:24:12.010771Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:49:40.979072Z

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 d8786d13-96a9-4d74-adf6-b72211e73c85 · inbound

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts cites this paper.

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T15:24:12.010771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:24:12.010771Z digest=sha256:9c335b0dbeb9735310ce801e5bb1ea9473f38c6742be43718e7f2da429175dcb

Observation be03bb1a-d6ec-4896-a207-3aa09bc49cc1 · inbound

Lorentzian Residual Neural Networks cites this paper.

Lorentzian Residual Neural Networks Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T12:08:18.212790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:08:18.212790Z digest=sha256:533e2306da5c1b092baa970bbd97a118eb166d4c542b6f8c33dd22265cf5d45a

Observation 418ca613-2c69-4806-ab0e-20087c61d797 · inbound

Towards Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks cites this paper.

Towards Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T15:36:18.239753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:36:18.239753Z digest=sha256:28cb0ccd9029ec90cad0a5a30ef72f2ec430ecb1101e1a59e6c4abdba4f4409f

Observation ffa01f8f-e49e-4b14-9cc9-f30c436fbd35 · inbound

Clique detection using symmetry-restricted quantum circuits cites this paper.

Clique detection using symmetry-restricted quantum circuits Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T11:12:44.695777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:12:44.695777Z digest=sha256:0a76c51e2b9bb05fa006983dc15586d5f51988cfd3577abd492c5c83e11a9934

Observation 20a77bef-0ee2-4a44-ab0b-65f6edde1151 · inbound

sHGCN: Simplified hyperbolic graph convolutional neural networks cites this paper.

sHGCN: Simplified hyperbolic graph convolutional neural networks Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T00:23:47.368203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:23:47.368203Z digest=sha256:f077fa18a8c6f645e7cd9b6ae1151f678d1e95ca1a39bff057c59d3582cde1bb

Observation 2d2853e1-64dd-4310-847b-71817632a7b0 · inbound

Hyperbolic Deep Learning for Foundation Models: A Survey cites this paper.

Hyperbolic Deep Learning for Foundation Models: A Survey Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Reference 127

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:37.287440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:37.287440Z digest=sha256:882f86d2418201075dfbaf5cb70c283e723164c4b9c34a3c8d9c252f4cda9070

Observation 0b9db52e-e12f-45d6-9c8a-ec8c93e3dd82 · inbound

Community detection robustness of graph neural networks cites this paper.

Community detection robustness of graph neural networks Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Reference 67

Resolution
malformed identifier
arxiv_id, observed 2026-05-18T12:51:23.344792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:dcf0799f59f18d1bf29cb17174c180dc97788f2a2259746cb946fd0985815e7b

Observation 61336a60-7026-4681-8097-103fee2050d8 · inbound

Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion cites this paper.

Improving Graph Few-shot Learning with Hyperbolic Space and Denoising Diffusion Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T09:41:26.630353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T09:51:38.704274Z digest=sha256:370fca15289e504dd33b9f4b7ca22270e637bca94f45b3d80ab2b425d736aa1e

Observation a835c6a6-5166-4c0e-84ed-17862a45837b · inbound

Attention-based graph neural networks: a survey cites this paper.

Attention-based graph neural networks: a survey Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Reference 118

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:26:24.881287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T01:07:43.805485Z digest=sha256:3741c1529c0af267c0b03719b76b5636b59804ffa0c8b815ae6a0eee2ba3dd1d

Observation 299ca893-e7d6-4382-8f66-3e6b68647336 · inbound

Gaussian Sheaf Neural Networks cites this paper.

Gaussian Sheaf Neural Networks Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:49:40.980818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-21T05:46:58.017286Z digest=sha256:e5d82886b1fb5c0ea3bf6a83573b258e90632f00e3b40f79afb37107c0b22c6c