Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A group-theoretic framework for machine learning in hyperbolic spaces
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.06934.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:33:42.416839Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 0eaa8f54-7c6b-4663-a793-6d56d9c72ebd · inbound
Cartan Networks: Group theoretical Hyperbolic Deep Learning cites this paper.
Cartan Networks: Group theoretical Hyperbolic Deep Learning A group-theoretic framework for machine learning in hyperbolic spaces
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:33:42.416839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7b333c6-8888-42de-bac3-172eecb39b2b · inbound
Busemann energy-based attention for emotion analysis in Poincar\'e discs cites this paper.
Busemann energy-based attention for emotion analysis in Poincar\'e discs A group-theoretic framework for machine learning in hyperbolic spaces
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T20:40:47.162988Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 328207f1-2bbc-4391-8b06-7326ada66847 · inbound
Information-Geometric Optimization on Spheres cites this paper.
Information-Geometric Optimization on Spheres A group-theoretic framework for machine learning in hyperbolic spaces
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T09:03:15.736832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.