Paper Citation Record · LEDGER

DeepIris: Iris Recognition Using A Deep Learning Approach

As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:1907.09380.

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

pith.paper-citation-record.v1
1907.09380 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T18:17:53.237455Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact2
verified fuzzy25
unresolved3
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc86a20a-678a-4f4e-be9a-9b97b5e154c1 · outbound

This paper cites ”A survey on antispooﬁng schemes for ﬁngerprint recognition systems.” ACM Computing Surveys (CSUR) 47.2 (2015): 28.

DeepIris: Iris Recognition Using A Deep Learning Approach ”A survey on antispooﬁng schemes for ﬁngerprint recognition systems.” ACM Computing Surveys (CSUR) 47.2 (2015): 28

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.638408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f0b0a665-62a3-4d6e-a6de-26e63d35db32 · outbound

This paper cites ”Highly accurate palmprint recognition using statistical and wavelet features.” Signal Processing and Signal Processing Education Workshop (SP/SPE), IEEE.

DeepIris: Iris Recognition Using A Deep Learning Approach ”Highly accurate palmprint recognition using statistical and wavelet features.” Signal Processing and Signal Processing Education Workshop (SP/SPE), IEEE

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.645518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0acd6d20-b6a8-4a7c-b611-2dc8d50ddf81 · outbound

This paper cites Burge, eds.

DeepIris: Iris Recognition Using A Deep Learning Approach Burge, eds

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.580773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 90315585-1a79-4232-9275-3f8702eb5c68 · outbound

This paper cites ”Robust face recognition via multimodal deep face representation.” IEEE Transactions on Multimedia 17.11 (2015): 2049-2058.

DeepIris: Iris Recognition Using A Deep Learning Approach ”Robust face recognition via multimodal deep face representation.” IEEE Transactions on Multimedia 17.11 (2015): 2049-2058

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.634757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fa376c90-c88b-451b-a34b-7ff9d2bbdda1 · outbound

This paper cites ”Face recognition using scattering convolutional network.” Signal Processing in Medicine and Biology Symposium (SPMB).

DeepIris: Iris Recognition Using A Deep Learning Approach ”Face recognition using scattering convolutional network.” Signal Processing in Medicine and Biology Symposium (SPMB)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.575569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c8db8e0e-96f3-4fb4-b4c4-627cc79d4582 · outbound

This paper cites Kumar and A.

DeepIris: Iris Recognition Using A Deep Learning Approach Kumar and A

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.578236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 781d388e-7113-424f-a30f-13c180c5c82a · outbound

This paper cites Farouk, Iris recognition based on elastic graph matching and Gabor wavelets, Computer Vision and Image Understanding, Elsevier, 115.8: 1239-1244.

DeepIris: Iris Recognition Using A Deep Learning Approach Farouk, Iris recognition based on elastic graph matching and Gabor wavelets, Computer Vision and Image Understanding, Elsevier, 115.8: 1239-1244

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.565080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 18a8e262-7002-4de3-b028-e994580c0915 · outbound

This paper cites Belcher and Y.

DeepIris: Iris Recognition Using A Deep Learning Approach Belcher and Y

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.559162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7f5cc0bf-d9f7-4b32-9ab5-c8379d13aa0f · outbound

This paper cites ”Iris recognition us- ing multiscale morphologic features.” Pattern Recognition Letters 65: 67-74.

DeepIris: Iris Recognition Using A Deep Learning Approach ”Iris recognition us- ing multiscale morphologic features.” Pattern Recognition Letters 65: 67-74

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.583899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0b75d492-4d92-40a6-8161-09e4f6080df5 · outbound

This paper cites ”Iris recognition using scattering transform and textural features.” Signal Processing and Signal Processing Education Workshop (SP/SPE), IEEE.

DeepIris: Iris Recognition Using A Deep Learning Approach ”Iris recognition using scattering transform and textural features.” Signal Processing and Signal Processing Education Workshop (SP/SPE), IEEE

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.587050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3a4bbaea-c90e-4bc4-863f-51f23ff1dd07 · outbound

This paper cites ”Gradient-based learning applied to docu- ment recognition.” Proceedings of the IEEE: 2278-2324.

DeepIris: Iris Recognition Using A Deep Learning Approach ”Gradient-based learning applied to docu- ment recognition.” Proceedings of the IEEE: 2278-2324

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.590299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation baaf35c4-8a8d-4dec-b180-b3004bb19f6d · outbound

This paper cites an unresolved cited work.

DeepIris: Iris Recognition Using A Deep Learning Approach Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-24T18:19:48.562151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b854cb50-820c-4426-929b-c990ab1e720c · outbound

This paper cites ”Deep residual learning for image recog- nition.” Proceedings of the IEEE conference on computer vision and pattern recognition.

DeepIris: Iris Recognition Using A Deep Learning Approach ”Deep residual learning for image recog- nition.” Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.568192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 78d4dd5b-18fc-4bb8-9953-0cc4be155aaa · outbound

This paper cites ”Segnet: A deep convolutional encoder-decoder architecture for image segmentation.” IEEE transactions on pattern analysis and machine intelligence 39.12: 2481-2495.

DeepIris: Iris Recognition Using A Deep Learning Approach ”Segnet: A deep convolutional encoder-decoder architecture for image segmentation.” IEEE transactions on pattern analysis and machine intelligence 39.12: 2481-2495

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.641787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation de3ac620-3ed0-4581-95f9-6f5febb46d87 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

DeepIris: Iris Recognition Using A Deep Learning Approach Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.617970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 725c40db-f7ce-438b-a2f0-91038159ba8a · outbound

This paper cites ”Learning a deep convolutional network for image super-resolution.” European conference on computer vision.

DeepIris: Iris Recognition Using A Deep Learning Approach ”Learning a deep convolutional network for image super-resolution.” European conference on computer vision

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.622591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 676b3ffe-4135-46c7-ac01-d18ca2407b29 · outbound

This paper cites Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network.

DeepIris: Iris Recognition Using A Deep Learning Approach Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-24T18:19:47.546670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ba1b4122-1f6f-41c6-a35c-d1369066a364 · outbound

This paper cites ”Deep learning face representation by joint identiﬁcation-veriﬁcation.”, NIPS.

DeepIris: Iris Recognition Using A Deep Learning Approach ”Deep learning face representation by joint identiﬁcation-veriﬁcation.”, NIPS

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.628450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d7a79bf-1f1a-4655-b27d-3dff4ff33c90 · outbound

This paper cites ”MTBI Identiﬁcation From Diffusion MR Images Using Bag of Adversarial Visual Features.” IEEE transactions on medical imaging.

DeepIris: Iris Recognition Using A Deep Learning Approach ”MTBI Identiﬁcation From Diffusion MR Images Using Bag of Adversarial Visual Features.” IEEE transactions on medical imaging

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.631360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1fde8de8-4778-4fe8-9c38-e9a7f04f8caf · outbound

This paper cites ”A deep unsupervised learning approach toward MTBI identiﬁcation using diffusion MRI.” Engineering in Medicine and Biology Society (EMBC), IEEE.

DeepIris: Iris Recognition Using A Deep Learning Approach ”A deep unsupervised learning approach toward MTBI identiﬁcation using diffusion MRI.” Engineering in Medicine and Biology Society (EMBC), IEEE

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.613222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 91bfd5ea-d95d-48d9-978d-e84618d1b4b9 · outbound

This paper cites ”Convolutional neural networks for sentence clas- siﬁcation.”, Conference on Empirical Methods on Natural Lan- guage Processing.

DeepIris: Iris Recognition Using A Deep Learning Approach ”Convolutional neural networks for sentence clas- siﬁcation.”, Conference on Empirical Methods on Natural Lan- guage Processing

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.625882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 89975856-a148-40f5-8267-ec11c86e9b10 · outbound

This paper cites ”Learning to rank short text pairs with convolutional deep neural networks.”, SIGIR conference on research and development in information retrieval, ACM.

DeepIris: Iris Recognition Using A Deep Learning Approach ”Learning to rank short text pairs with convolutional deep neural networks.”, SIGIR conference on research and development in information retrieval, ACM

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.572215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a467fcaa-188b-4281-ba03-b1a999185ffd · outbound

This paper cites ”Automatic question-answering using a deep similarity neural network.” Global Conference on Signal and Information Processing, IEEE.

DeepIris: Iris Recognition Using A Deep Learning Approach ”Automatic question-answering using a deep similarity neural network.” Global Conference on Signal and Information Processing, IEEE

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.604810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5319fd69-e540-4aa1-a419-6b930ae19a57 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

DeepIris: Iris Recognition Using A Deep Learning Approach Neural Machine Translation by Jointly Learning to Align and Translate

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-24T18:19:47.552955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a50f8df3-c48e-4784-a976-a1fcacf7187c · outbound

This paper cites ”CNN features off-the-shelf: an astounding baseline for recognition.” IEEE conference on computer vision and pattern recognition workshops.

DeepIris: Iris Recognition Using A Deep Learning Approach ”CNN features off-the-shelf: an astounding baseline for recognition.” IEEE conference on computer vision and pattern recognition workshops

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.556018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d32d9efe-22a1-4828-bdf1-8cf3bcbbf86b · outbound

This paper cites ”An experimental study of deep convolutional features for iris recognition.” signal process- ing in medicine and biology symposium (SPMB), IEEE.

DeepIris: Iris Recognition Using A Deep Learning Approach ”An experimental study of deep convolutional features for iris recognition.” signal process- ing in medicine and biology symposium (SPMB), IEEE

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.596079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6190ef58-987a-401f-b2b9-ab9b03a6bbf0 · outbound

This paper cites ”Imagenet: A large-scale hierarchical image database.” 2009 IEEE conference on computer vision and pattern recognition.

DeepIris: Iris Recognition Using A Deep Learning Approach ”Imagenet: A large-scale hierarchical image database.” 2009 IEEE conference on computer vision and pattern recognition

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.599170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a147e485-b176-443c-bf62-c715d4b73bd3 · outbound

This paper cites an unresolved cited work.

DeepIris: Iris Recognition Using A Deep Learning Approach Unresolved cited work

Reference 28

Resolution: parse uncertain; raw_fallback, observed 2026-05-24T18:19:48.552454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d29a0ec3-65e5-42e3-8811-993aaa29ec4d · outbound

This paper cites an unresolved cited work.

DeepIris: Iris Recognition Using A Deep Learning Approach Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-24T18:19:48.593132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 64d64682-6eb1-44f6-b14c-3afa893ba466 · outbound

This paper cites an unresolved cited work.

DeepIris: Iris Recognition Using A Deep Learning Approach Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-05-24T18:19:48.610568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 54ef644c-681a-4031-8a49-341bb2b9b55d · outbound

This paper cites ”Visualizing and understanding convo- lutional networks.” European conference on computer vision, springer, Cham.

DeepIris: Iris Recognition Using A Deep Learning Approach ”Visualizing and understanding convo- lutional networks.” European conference on computer vision, springer, Cham

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T18:19:48.607971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.