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Paper Citation Record · LEDGER

Klein Model for Hyperbolic Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.16813.

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

pith.paper-citation-record.v1
2410.16813 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:58:58.079358Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:24:25.544142Z

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 6a049c78-55bb-4f44-b142-4da62da60d5f · inbound

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

Even Faster Hyperbolic Random Forests: A Beltrami-Klein Wrapper Approach Klein Model for Hyperbolic Neural Networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:58.079358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:58:58.079358Z digest=sha256:aa0069bc6a6b0d4f451f73d826054c9fb469aac1663abc31411b12903f8f8d35

Observation 5522f410-346c-469d-9fd4-50887cd7eb9f · 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 Klein Model for Hyperbolic Neural Networks

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:24:25.549815Z

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.

source=arxiv_source observed=2026-08-07T10:24:24.875474Z digest=sha256:e9a932b7bccf667cf07573c69b27ba0a94fb952948228e4ce43331f6073094e4