Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:57:27.268048Z
Paper Citation Record · LEDGER
A group-theoretic framework for machine learning in hyperbolic spaces
As of 17 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 4 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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T20:58:48.944087Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
60 of 60 outbound references displayed
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External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 776746f0-8b49-4f4d-a24a-4ba5b1fe8217 · outbound
This paper cites &Boguná, M.
A group-theoretic framework for machine learning in hyperbolic spaces &Boguná, M
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 63349287-d5ba-4238-9fed-b600d9f2541d · outbound
This paper cites & Can nistraci, C.
A group-theoretic framework for machine learning in hyperbolic spaces & Can nistraci, C
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:28.308789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7cf77f16-e90b-4108-89fc-13adbdb6d700 · outbound
This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.
A group-theoretic framework for machine learning in hyperbolic spaces Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac279756-633d-497e-accd-81cd1db1d1cf · outbound
This paper cites & Ganea, O.
A group-theoretic framework for machine learning in hyperbolic spaces & Ganea, O
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 92d30d60-6b64-4d9c-9122-7630a1722e2f · outbound
This paper cites & Kiela, D.
A group-theoretic framework for machine learning in hyperbolic spaces & Kiela, D
Reference 5
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 79183a81-3400-4ba6-a478-b8510bf15822 · outbound
This paper cites Skip-gram word embeddings in hyperbolic space.
A group-theoretic framework for machine learning in hyperbolic spaces Skip-gram word embeddings in hyperbolic space
Reference 6
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98102c08-f160-4ef0-bd71-49781a11279d · outbound
This paper cites & Y eung, S.
A group-theoretic framework for machine learning in hyperbolic spaces & Y eung, S
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 98c49512-238f-431c-993f-37d9f0a66a1a · outbound
This paper cites & Lempitsky, V.
A group-theoretic framework for machine learning in hyperbolic spaces & Lempitsky, V
Reference 8
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5887eecf-8464-41a5-b63a-7694c242dd08 · outbound
This paper cites Hyperbolic matrix factorization improves prediction of drug-target associations.
A group-theoretic framework for machine learning in hyperbolic spaces Hyperbolic matrix factorization improves prediction of drug-target associations
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 08f182db-50d0-4fa5-abf4-f239155b0cdf · outbound
This paper cites & Lio, P.
A group-theoretic framework for machine learning in hyperbolic spaces & Lio, P
Reference 10
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 651eda21-6887-454e-8126-bcb92c2ef4c4 · outbound
This paper cites Scalable Hyperbolic Recommender Systems.
A group-theoretic framework for machine learning in hyperbolic spaces Scalable Hyperbolic Recommender Systems
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65636381-ca0e-437f-b5ab-edb9deb5b63e · outbound
This paper cites & Wang, Z.
A group-theoretic framework for machine learning in hyperbolic spaces & Wang, Z
Reference 12
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d98d1246-0f2e-4995-bdac-10c804bd8882 · outbound
This paper cites Low-Dimensional Hyperbolic Knowledge Graph Embeddings.
A group-theoretic framework for machine learning in hyperbolic spaces Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f1d6b16-7ce4-40ea-88c0-c4e0872976fb · outbound
This paper cites & Pantazis, D.
A group-theoretic framework for machine learning in hyperbolic spaces & Pantazis, D
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 515263c0-c11d-4d9f-bfd7-446e5d793fdb · outbound
This paper cites & Serrano, M.
A group-theoretic framework for machine learning in hyperbolic spaces & Serrano, M
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f017dbec-1f98-4647-9ac6-bed380a3111e · outbound
This paper cites Brain-Inspired AI with Hyperbolic Geometry.
A group-theoretic framework for machine learning in hyperbolic spaces Brain-Inspired AI with Hyperbolic Geometry
Reference 16
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e15eed71-89d3-4937-81a8-fc9e3c015c7d · outbound
This paper cites & Hunt, J.
A group-theoretic framework for machine learning in hyperbolic spaces & Hunt, J
Reference 17
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9df4b77b-8fe6-4df9-bdf0-c1304ab62376 · outbound
This paper cites , Miller, D.
A group-theoretic framework for machine learning in hyperbolic spaces , Miller, D
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 49dfa3b4-b3a8-41e5-b9fe-445535963e13 · outbound
This paper cites & others Hyperbolic Attention Networks.
A group-theoretic framework for machine learning in hyperbolic spaces & others Hyperbolic Attention Networks
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 53ddc601-f11b-4267-8a01-ed5065836b29 · outbound
This paper cites & Hofmann, T.
A group-theoretic framework for machine learning in hyperbolic spaces & Hofmann, T
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cc296a06-7344-43a2-9bb3-256ef0c44c62 · outbound
This paper cites & Nakayama, H.
A group-theoretic framework for machine learning in hyperbolic spaces & Nakayama, H
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 97fdaa9b-8fef-4f52-a8ad-bf64e8e1cef9 · outbound
This paper cites & Welling, M.
A group-theoretic framework for machine learning in hyperbolic spaces & Welling, M
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2b8ac5d3-b3c1-4358-aa29-233109cc8ebe · outbound
This paper cites & Kiela, D.
A group-theoretic framework for machine learning in hyperbolic spaces & Kiela, D
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dd2ae137-3b1d-4ea2-9700-75e48506038c · outbound
This paper cites & Teh, Y .Continuous hierarchical representations with Poincaré variational auto-encoders.
A group-theoretic framework for machine learning in hyperbolic spaces & Teh, Y .Continuous hierarchical representations with Poincaré variational auto-encoders
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:28.023888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ab29a4f1-1507-4414-9ee5-d9e082b94d9b · outbound
This paper cites Hyperbolic trigonometry and its application in the Poincaré ball model of hyperbolic geometry.
A group-theoretic framework for machine learning in hyperbolic spaces Hyperbolic trigonometry and its application in the Poincaré ball model of hyperbolic geometry
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:28.005439Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c0f97fdd-01fc-404b-8f02-a3885b9a9a65 · outbound
This paper cites & Koyama, M.
A group-theoretic framework for machine learning in hyperbolic spaces & Koyama, M
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 52fe43f1-b973-46b5-8092-4c7b19fece77 · outbound
This paper cites & Kim, D.
A group-theoretic framework for machine learning in hyperbolic spaces & Kim, D
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e17670a4-692f-4222-92e6-9681493e45e0 · outbound
This paper cites & Zhao, G.
A group-theoretic framework for machine learning in hyperbolic spaces & Zhao, G
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.948497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 45337ae0-63c3-4306-a4a6-4cd2a28e52b6 · outbound
This paper cites & Welling, M.
A group-theoretic framework for machine learning in hyperbolic spaces & Welling, M
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2e7539ad-a2dc-4526-8593-d9e790d4633e · outbound
This paper cites Lie group machine learning and Gibbs den sity on Poincaré unit disk from Souriau Lie groups thermodynamics and SU(1,1) coadjoint orbits.
A group-theoretic framework for machine learning in hyperbolic spaces Lie group machine learning and Gibbs den sity on Poincaré unit disk from Souriau Lie groups thermodynamics and SU(1,1) coadjoint orbits
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 07cd7790-f6d8-4ac7-9b5a-a7ce995c5012 · outbound
This paper cites & Hauberg, S.
A group-theoretic framework for machine learning in hyperbolic spaces & Hauberg, S
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.902042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7cc58f71-db67-4df7-80b6-077d3e3493c0 · outbound
This paper cites & Duin, R.
A group-theoretic framework for machine learning in hyperbolic spaces & Duin, R
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 178a8e73-72a7-4de8-80d4-4e755514314f · outbound
This paper cites & Calder, C.
A group-theoretic framework for machine learning in hyperbolic spaces & Calder, C
Reference 33
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6473ca29-eaa0-44e6-ab51-14c517217795 · outbound
This paper cites & Hamilt on, W.
A group-theoretic framework for machine learning in hyperbolic spaces & Hamilt on, W
Reference 34
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 544eab8a-e954-4a04-8566-a0a0f1461942 · outbound
This paper cites & Strapasson, J.
A group-theoretic framework for machine learning in hyperbolic spaces & Strapasson, J
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5e06b08f-0048-47ad-9ce9-698f802a6736 · outbound
This paper cites & Mettes, P.
A group-theoretic framework for machine learning in hyperbolic spaces & Mettes, P
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e8c1d68b-d90a-4969-93b2-8339a7e0e665 · outbound
This paper cites an unresolved cited work.
A group-theoretic framework for machine learning in hyperbolic spaces Unresolved cited work
Reference 37
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2cb7c2e8-a5a9-4621-bfe9-25caececc52c · outbound
This paper cites & Ostermeier, A.
A group-theoretic framework for machine learning in hyperbolic spaces & Ostermeier, A
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 148a2288-dde1-435c-aed2-8e14c36513b9 · outbound
This paper cites Harmonic and subharmonic function theory on t he hyperbolic ball.
A group-theoretic framework for machine learning in hyperbolic spaces Harmonic and subharmonic function theory on t he hyperbolic ball
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.754747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c61ac20e-799d-401f-be38-175fcc8cc871 · outbound
This paper cites Notes on complex hyperbolic geometry.
A group-theoretic framework for machine learning in hyperbolic spaces Notes on complex hyperbolic geometry
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.738089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 06b0a323-b8d5-4398-8973-369f6def6d2d · outbound
This paper cites Möbius Transformations in Several Dimensi ons.
A group-theoretic framework for machine learning in hyperbolic spaces Möbius Transformations in Several Dimensi ons
Reference 41
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 953d4a0c-7c97-4980-af05-29503e834cca · outbound
This paper cites Spaces of holomorphic functions in the unit ball.
A group-theoretic framework for machine learning in hyperbolic spaces Spaces of holomorphic functions in the unit ball
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dc930096-da60-4c64-addd-e82efbef4859 · outbound
This paper cites Bergman metrics as pull-backs of the Fubini-Study metric.
A group-theoretic framework for machine learning in hyperbolic spaces Bergman metrics as pull-backs of the Fubini-Study metric
Reference 43
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd6362ca-9a72-4c56-ba34-4154d17e1de6 · outbound
This paper cites & Y ang, L.
A group-theoretic framework for machine learning in hyperbolic spaces & Y ang, L
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.691490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c6b504e3-6a2e-4fb2-8d65-7b88b2713250 · outbound
This paper cites Convex Analysis and Optimization in Hadamard Spaces.
A group-theoretic framework for machine learning in hyperbolic spaces Convex Analysis and Optimization in Hadamard Spaces
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.675462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation dc0d2b81-2183-4792-a83d-91226c0447c4 · outbound
This paper cites & D e Sa, C.
A group-theoretic framework for machine learning in hyperbolic spaces & D e Sa, C
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.659382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 278d225c-4f2b-477e-8d7f-8386202323d5 · outbound
This paper cites Conformal and holomorphic barycenters in hyperbolic balls.
A group-theoretic framework for machine learning in hyperbolic spaces Conformal and holomorphic barycenters in hyperbolic balls
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:57:27.203414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53118008-8fc9-4c76-b029-3c72afda6b94 · outbound
This paper cites Applications of Lie groups to differential eq uations.
A group-theoretic framework for machine learning in hyperbolic spaces Applications of Lie groups to differential eq uations
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.642832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 19b44ddf-5fab-4156-b61d-222527c50ee7 · outbound
This paper cites Self-entrainment of a population of coupl ed nonlinear oscillators.
A group-theoretic framework for machine learning in hyperbolic spaces Self-entrainment of a population of coupl ed nonlinear oscillators
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.626574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 157e04c9-33c2-4b8a-a56a-91e2f231d7ed · outbound
This paper cites & Strogatz, S.
A group-theoretic framework for machine learning in hyperbolic spaces & Strogatz, S
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.611434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d93fa7ca-d6d6-45c6-9e45-649f98553df5 · outbound
This paper cites & Strogatz, S.
A group-theoretic framework for machine learning in hyperbolic spaces & Strogatz, S
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.596957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 42820af7-289f-45eb-b108-582e5942c78d · outbound
This paper cites & Mirollo, R.
A group-theoretic framework for machine learning in hyperbolic spaces & Mirollo, R
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.580143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 46f791a4-f601-4e56-a733-cab09a93f7ce · outbound
This paper cites Computing the Douady–Earle extension using Kuramoto o scillators.
A group-theoretic framework for machine learning in hyperbolic spaces Computing the Douady–Earle extension using Kuramoto o scillators
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.563663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5526e5dc-3c31-420b-b4aa-fd5fe10335cd · outbound
This paper cites & Earle, C.
A group-theoretic framework for machine learning in hyperbolic spaces & Earle, C
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.547131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation bba1bf28-15bf-42e3-8ef9-ef00e1ff777e · outbound
This paper cites & Strogatz, S.
A group-theoretic framework for machine learning in hyperbolic spaces & Strogatz, S
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.525104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 133b0001-da69-45e8-9bc6-3c50513a6a26 · outbound
This paper cites Consensus on nonlinear spaces.
A group-theoretic framework for machine learning in hyperbolic spaces Consensus on nonlinear spaces
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.507785Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b26546a8-5865-459d-a14c-90ae5fe83a5d · outbound
This paper cites Conformally Natural Families of Probability Distributions on Hyperbolic Disc with a View on Geometric Deep Learning.
A group-theoretic framework for machine learning in hyperbolic spaces Conformally Natural Families of Probability Distributions on Hyperbolic Disc with a View on Geometric Deep Learning
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:57:27.252555Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aee3486c-c827-4740-afb6-875fe19540aa · outbound
This paper cites The Möbius distribution on the disc.
A group-theoretic framework for machine learning in hyperbolic spaces The Möbius distribution on the disc
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.492029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 05b2cc9c-4532-4423-9bf2-0451fb026de7 · outbound
This paper cites an unresolved cited work.
A group-theoretic framework for machine learning in hyperbolic spaces Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T20:57:27.475687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 8e52d577-e704-4a6b-8aae-9fc67429b52f · outbound
This paper cites & Zemel, R.
A group-theoretic framework for machine learning in hyperbolic spaces & Zemel, R
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T20:57:27.460247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Pith citing papers
Observation 9fc9d818-03b5-4237-be43-694177324fd7 · inbound
Clustering in hyperbolic balls cites this paper.
Clustering in hyperbolic balls A group-theoretic framework for machine learning in hyperbolic spaces
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T20:58:48.944087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.