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Paper Citation Record · LEDGER

Synthesizing Iris Images using Generative Adversarial Networks: Survey and Comparative Analysis

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.17105.

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

pith.paper-citation-record.v1
2404.17105 v2

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:02:10.052502Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:00:25.431472Z

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 22526df3-01fa-42e7-8ca5-8a2197ba0661 · inbound

DOOMGAN:High-Fidelity Dynamic Identity Obfuscation Ocular Generative Morphing cites this paper.

DOOMGAN:High-Fidelity Dynamic Identity Obfuscation Ocular Generative Morphing Synthesizing Iris Images using Generative Adversarial Networks: Survey and Comparative Analysis

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:10.052502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:02:10.052502Z digest=sha256:7c837aeb522a51f6c93599ee7eda4a4ce636856c695c88f43bae78e960e6568c

Observation 34ddf0e2-29b6-421d-b919-417c77568e38 · inbound

Gradient-Guided Exploration of Generative Model's Latent Space for Controlled Iris Image Augmentations cites this paper.

Gradient-Guided Exploration of Generative Model's Latent Space for Controlled Iris Image Augmentations Synthesizing Iris Images using Generative Adversarial Networks: Survey and Comparative Analysis

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:00:25.433236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T23:00:05.791459Z digest=sha256:6ab151d73f6d0c260077c05ff66a7ddd6590db0d7a2a2972b5bd535d9ac7d5e8