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Paper Citation Record · LEDGER

Fully Hyperbolic Convolutional Neural Networks for Computer Vision

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2303.15919.

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

pith.paper-citation-record.v1
2303.15919 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:02:25.679253Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:24:25.784966Z

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 fdd0fa01-cc49-4b33-81f8-0e0102a926c1 · inbound

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks cites this paper.

On the Universal Statistical Consistency of Expansive Hyperbolic Deep Convolutional Neural Networks Fully Hyperbolic Convolutional Neural Networks for Computer Vision

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T20:02:25.679253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:02:25.679253Z digest=sha256:dfefc5eab12a3b25a09d7263dba388c82ad9c83a4074c9cc50683fb633ae3c1f

Observation 142f1936-a444-41a6-a227-dbad5877bca7 · inbound

Adversarial Attacks on Hyperbolic Networks cites this paper.

Adversarial Attacks on Hyperbolic Networks Fully Hyperbolic Convolutional Neural Networks for Computer Vision

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T04:20:52.429458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:20:52.429458Z digest=sha256:1d0fa724cad4f13e9d37de3545274fda8dadbcc2cbfa975543fe59a99ae44a91

Observation 3ce99da8-6f7d-4ed8-8b7e-11c4d4c103fa · inbound

Hgformer: Hyperbolic Graph Transformer for Recommendation cites this paper.

Hgformer: Hyperbolic Graph Transformer for Recommendation Fully Hyperbolic Convolutional Neural Networks for Computer Vision

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T23:14:03.399176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:14:03.399176Z digest=sha256:6540f2f06aefa270d6e342b8206f59b0fb5a6d140766c294903d6bf0f8a9ee28

Observation 7f5342ab-2ec3-4aa0-b7ab-56557d13cbb4 · inbound

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach cites this paper.

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Fully Hyperbolic Convolutional Neural Networks for Computer Vision

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:55.201236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:58:55.201236Z digest=sha256:7af523a4bc71d635dd74db91e7ee8cbc56bd377faf4535ac40f39fd714e97162

Observation 241fe005-d6fb-4e0a-976f-7ec839e7280d · inbound

Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning cites this paper.

Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning Fully Hyperbolic Convolutional Neural Networks for Computer Vision

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:24:25.791074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T10:24:23.749133Z digest=sha256:e7f097392c4e9d996bdac305c71dbd36d6a2b3d7b2c676dd524e8f5b19647c4a