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Paper Citation Record · LEDGER

Autoencoding Hyperbolic Representation for Adversarial Generation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.12825.

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

pith.paper-citation-record.v1
2201.12825 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:02:25.736565Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T12:38:19.971369Z

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 6b9322a7-9b0b-4c20-a178-a9b0fe82e560 · 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 Autoencoding Hyperbolic Representation for Adversarial Generation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T20:02:25.736565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:02:25.736565Z digest=sha256:63d0c518005821f6362aa3f9c44fb40b83605d07ff2c9e8510110677a0e74701

Observation 6a9fb8f2-dca3-4a03-a059-e3c8da859313 · inbound

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

Hyperbolic Deep Learning for Foundation Models: A Survey Autoencoding Hyperbolic Representation for Adversarial Generation

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:36.777852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:54:36.777852Z digest=sha256:f8ff9617a1c9737c745cafc96cb19ddbda2e6d89f811d6bb491d187a45bb6966

Observation da37a1d0-a595-4546-9751-f87fccada0e3 · inbound

Hyperbolic Genome Embeddings cites this paper.

Hyperbolic Genome Embeddings Autoencoding Hyperbolic Representation for Adversarial Generation

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:38:20.040946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T12:38:16.509785Z digest=sha256:26e85050cba339f4550574dbf0e6e57b9235aa31e2a7bfbabffdf5cc9b591aa6