Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:34:27.347385Z
Paper Citation Record · LEDGER
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study
As of 13 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2411.08490.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
24 of 24 outbound references displayed
- verified exact0
- verified fuzzy22
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c678a962-cff9-484f-a9e3-a8eb06a5f105 · outbound
This paper cites Thirdeye: Triplet base d iris recognition with- out normalization.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Thirdeye: Triplet base d iris recognition with- out normalization
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.627313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7e4a9a2e-9eb8-47e7-bce5-0f73d5b1d7b3 · outbound
This paper cites Iris: Iris recognition inference system of the worldcoin project, 2023.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Iris: Iris recognition inference system of the worldcoin project, 2023
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.617014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d8c19726-9a25-4b78-aa7c-86cc01e069f1 · outbound
This paper cites Demographic-relian t algorithmic fairness: Characterizing the risks of demographic data collection in the pursuit of fairness.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Demographic-relian t algorithmic fairness: Characterizing the risks of demographic data collection in the pursuit of fairness
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.606934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 02f48d8c-9223-4b6d-9216-6b216ad14f3f · outbound
This paper cites Recent advances in biometric te chnology for mobile devices.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Recent advances in biometric te chnology for mobile devices
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.596568Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e6afb12b-a77e-48c5-95af-c4dd924d4a32 · outbound
This paper cites How iris recognition works.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study How iris recognition works
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.586704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e040dabb-16f5-404d-b6f9-ffe56af1b6a7 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:34:27.282300Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1413e0b-abf6-4420-99a5-477d2791102a · outbound
This paper cites Iris pigmentation as a quantitative trait: variation in populations of european, east asian and south asian ancestry and associa tion with candidate gene polymorphisms.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Iris pigmentation as a quantitative trait: variation in populations of european, east asian and south asian ancestry and associa tion with candidate gene polymorphisms
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.576519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 619e8052-bd1e-4f26-957e-63ab38340179 · outbound
This paper cites An o ptimized wave- length band selection for heavily pigmented iris recogniti on.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study An o ptimized wave- length band selection for heavily pigmented iris recogniti on
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.565738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2feecbf0-b6c4-469e-9c0f-137fb25147bd · outbound
This paper cites Dee p residual learning for image recognition.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Dee p residual learning for image recognition
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.555799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d347998b-4ba7-4a1e-b86f-471f53d1774d · outbound
This paper cites Deep learning based off-angle iris recognition.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Deep learning based off-angle iris recognition
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.545378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4d7cee88-6f56-4024-9990-97dc9c853eb4 · outbound
This paper cites Fairness index measu res to evaluate bias in biometric recognition.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Fairness index measu res to evaluate bias in biometric recognition
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.534960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 03e49286-47b2-413d-80c5-79f60c1af6fb · outbound
This paper cites Robust iris segmentation algorithm in non-cooperat ive environments using interleaved residual u-net.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Robust iris segmentation algorithm in non-cooperat ive environments using interleaved residual u-net
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.524622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e32d80e2-7626-4f35-97a5-6816f12db7b7 · outbound
This paper cites Presenta tion attack detection on visible spectrum iris recognition by exploring inherent characteristics of light field camera.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Presenta tion attack detection on visible spectrum iris recognition by exploring inherent characteristics of light field camera
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.514041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 544dd030-e120-431b-b8fa-396894c53db8 · outbound
This paper cites Exploring the usefulness of light field cameras for biometrics: An empi rical study on face and iris recognition.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Exploring the usefulness of light field cameras for biometrics: An empi rical study on face and iris recognition
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.503725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 69ab16fe-4441-43b1-b0d9-91375f39cd5f · outbound
This paper cites an unresolved cited work.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T21:34:27.493141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0baa9f2f-6b93-413b-8867-7501ce29c912 · outbound
This paper cites Smartphone based visible iris recognition using dee p sparse filtering.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Smartphone based visible iris recognition using dee p sparse filtering
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.482669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d867597a-5ea6-454f-ac98-0e47b47d5698 · outbound
This paper cites Demographic fairness in biometric system s: What do the ex- perts say? IEEE Technology and Society Magazine , 41(4):71–82, 2022.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Demographic fairness in biometric system s: What do the ex- perts say? IEEE Technology and Society Magazine , 41(4):71–82, 2022
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.472286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1c0e6966-b348-49c4-b55a-8c75824c08dc · outbound
This paper cites Multiscale dynamic graph representation for biometric recognition wi th occlusions.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Multiscale dynamic graph representation for biometric recognition wi th occlusions
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.460391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation b033c110-4001-4e71-a854-1c52eb0ec197 · outbound
This paper cites Sequeira, Lulu Chen, James Ferryman, Peter Wild, F ernando Alonso- Fernandez, Josef Bigun, Kiran B.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Sequeira, Lulu Chen, James Ferryman, Peter Wild, F ernando Alonso- Fernandez, Josef Bigun, Kiran B
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.448820Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 84b1bf4f-faab-49d5-bf2f-73e48fc6c9e7 · outbound
This paper cites Evaluation of combined visible/nir camera for iris authentication on smartphones.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Evaluation of combined visible/nir camera for iris authentication on smartphones
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.436954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ca1bea72-7a58-43d6-ab0d-7b0cf42d88bd · outbound
This paper cites There is an elephant in the room: Towards a critique on the use of fairnes s in biometrics.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study There is an elephant in the room: Towards a critique on the use of fairnes s in biometrics
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.425540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2050e2c8-5004-4044-a234-99a92d10591f · outbound
This paper cites Nir iris challenge evaluation in non-cooperative environments: Se gmentation and localiza- tion.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Nir iris challenge evaluation in non-cooperative environments: Se gmentation and localiza- tion
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.413999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ab0d9a97-fe93-45c5-b937-c92a70856825 · outbound
This paper cites Dualsanet: Dual spa tial attention net- work for iris recognition.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study Dualsanet: Dual spa tial attention net- work for iris recognition
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.402254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 8beb1a9f-d56b-4aa1-af4e-f44016ff5928 · outbound
This paper cites In de fense of the triplet loss again: Learning robust person re-identificati on with fast approximated triplet loss and label distillation.
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study In de fense of the triplet loss again: Learning robust person re-identificati on with fast approximated triplet loss and label distillation
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T21:34:27.390345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
No inbound Pith citation observations are available.