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Paper Citation Record · LEDGER

Two-headed eye-segmentation approach for biometric identification

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.15471.

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

pith.paper-citation-record.v1
2209.15471 v1

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 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:32:48.775337Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T17:44:57.540767Z

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 5f6e2976-3b46-49b5-a90d-3013ec41fdfb · inbound

Iris Recognition for Infants cites this paper.

Iris Recognition for Infants Two-headed eye-segmentation approach for biometric identification

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T22:32:48.775337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:32:48.775337Z digest=sha256:93a081fdcb97b7ee21e82930549de58ecf20f147ec4da81e8c13098f8cc51c7d

Observation 5a857fc5-2545-478c-9a4c-88980afb0f2e · inbound

Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognition cites this paper.

Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognition Two-headed eye-segmentation approach for biometric identification

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:59:36.563458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-21T04:55:26.247702Z digest=sha256:15475ca294f0ffe942194d23ecf8a4d9d083a6eea4cdd09642182209218ad060

Observation f935f96e-0c1e-4f17-befd-dc200ad39923 · inbound

Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognition cites this paper.

Lowering the Barrier to IREX Participation: Open-Source Algorithms, Toolkit, and Benchmarking for Iris Recognition Two-headed eye-segmentation approach for biometric identification

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:44:57.542377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T17:44:38.787771Z digest=sha256:c59cbe04955fdb6120d053c25104993d86aceb9076639e6ea4126e76f234896a