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Paper Citation Record · LEDGER

Benchmarking Foundation Models for Zero-Shot Biometric Tasks

As of 13 August 2026, this Paper Citation Record lists 100 of 107 outbound references and 6 inbound Pith citation observations for arXiv:2505.24214.

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

pith.paper-citation-record.v1
2505.24214 v1

Coverage vector

measured 100 of 107 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:33:58.588182Z

measured 106 of 106 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:12:20.913011Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T11:08:13.326459Z

Reference resolution

100 of 107 outbound references displayed

  • verified exact1
  • verified fuzzy43
  • unresolved56
  • parse uncertain0
  • malformed identifier0
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Outbound references

Observation cc1b102c-4107-4260-b7d7-a595d69ad781 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks On the Opportunities and Risks of Foundation Models

Reference 1

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Observation a0fe180e-cab5-46ee-952b-8a4150f9febf · outbound

This paper cites GPT-4 Technical Report.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks GPT-4 Technical Report

Reference 2

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source=pdf_text observed=2026-08-07T12:33:49.721079Z digest=sha256:26f03fbc78b89080c2bc044e8683d3e056a5e5eadec39f502f537173e9d7080e

Observation b0d0e1c5-0911-4daf-82c4-488c42c5c369 · outbound

This paper cites Segment anything,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Segment anything,

Reference 3

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Observation 2ac6559d-eec0-448c-a630-5b5b80d06942 · outbound

This paper cites Segment anything in medical images,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Segment anything in medical images,

Reference 4

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Observation da471331-59ec-4c40-9d3e-6351a95c5b1e · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Learning transferable visual models from natural language supervision,

Reference 5

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Observation 1efe56c4-3302-47b2-b0c5-0e105bec51b5 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 6

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Observation 979c8608-3414-4553-8dd4-400f7d7c13b3 · outbound

This paper cites BLIP: Bootstrapping Language- image Pre-training for Unified Vision-language Understanding and Generation,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks BLIP: Bootstrapping Language- image Pre-training for Unified Vision-language Understanding and Generation,

Reference 7

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Observation 21050c94-c4b8-46fc-bfa7-c1b97885d806 · outbound

This paper cites BLIP-2: Bootstrapping Language- image Pre-training With Frozen Image Encoders and Large Language Models,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks BLIP-2: Bootstrapping Language- image Pre-training With Frozen Image Encoders and Large Language Models,

Reference 8

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Observation 04750ea3-ac6d-4343-8315-4a8ebde541b5 · outbound

This paper cites Flamingo: A visual language model for few-shot learning,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Flamingo: A visual language model for few-shot learning,

Reference 9

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Observation 50bf11c9-ff05-48d3-870a-26d3e12671f3 · outbound

This paper cites Improved Baselines With Visual Instruction Tuning,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Improved Baselines With Visual Instruction Tuning,

Reference 10

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source=pdf_text observed=2026-08-07T12:33:50.541581Z digest=sha256:714f271dfb5f445df5566cd60ac38228136368b0b73fff889c0e1027a67b7314

Observation 4604a79d-2625-4cea-bcd3-2f5b1063ed8e · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 11

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Observation 18ad1a2b-8b4c-4b37-9861-d8632cc1931a · outbound

This paper cites Microsoft COCO: Common Objects in Context,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Microsoft COCO: Common Objects in Context,

Reference 12

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Observation 76bced12-092b-4775-b7a8-1db36753aca1 · outbound

This paper cites Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering,

Reference 13

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Observation a68fd6aa-c5c2-495f-9fcb-2ec887040d20 · outbound

This paper cites OK-VQA: A Visual Question Answering Benchmark Requiring External Knowl- edge,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks OK-VQA: A Visual Question Answering Benchmark Requiring External Knowl- edge,

Reference 14

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Observation e1386916-d73b-4963-a35b-564698b924e5 · outbound

This paper cites VizWiz Grand Challenge: Answering Visual Questions from Blind People,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks VizWiz Grand Challenge: Answering Visual Questions from Blind People,

Reference 15

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Observation a6cf1b28-f335-4f93-a764-9f0395973b13 · outbound

This paper cites Glam: Efficient Scaling of Lan- guage Models With Mixture-of-experts,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Glam: Efficient Scaling of Lan- guage Models With Mixture-of-experts,

Reference 16

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Observation 64fa0cc8-fc1c-485c-8071-28b05c44ac0d · outbound

This paper cites DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 17

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Observation b633151c-3ec0-465b-89db-25d8c62c9f33 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Chain-of-thought prompting elicits reasoning in large language models,

Reference 18

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Observation f275a78f-0c2e-4c21-8fa5-291589da495d · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Graph of thoughts: Solving elaborate problems with large language models,

Reference 19

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Observation b7b45997-66b2-4d33-b226-b6474e5cd009 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 20

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Observation f397d71d-0c37-4c96-b549-c70ba4c5458a · outbound

This paper cites Retrieval- augmented Generation for Knowledge-intensive NLP Tasks,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Retrieval- augmented Generation for Knowledge-intensive NLP Tasks,

Reference 21

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Observation 61be7be4-3ec0-43d4-8e91-2fd14e996b35 · outbound

This paper cites Language Mod- els are Few-shot Learners,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Language Mod- els are Few-shot Learners,

Reference 22

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Observation 3a973b2c-dbd9-4c94-afa9-0994870a51e8 · outbound

This paper cites Multitask prompted training enables zero-shot task generalization,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Multitask prompted training enables zero-shot task generalization,

Reference 23

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Observation bd945039-87e1-4b8c-b8ae-055f9f1b3c9c · outbound

This paper cites Scaling Instruction-finetuned Language Models,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Scaling Instruction-finetuned Language Models,

Reference 24

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Observation a6c4abe5-0602-42f9-b86e-b71dc1e589be · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 25

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Observation adc0ea38-156d-45bb-a631-b55418ccb8db · outbound

This paper cites Training Language Models to Follow Instructions With Human Feedback,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Training Language Models to Follow Instructions With Human Feedback,

Reference 26

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Observation 3c202fd3-768c-4b92-8c43-01e37f957738 · outbound

This paper cites Lora: Low-rank Adaptation of Large Language Models.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Lora: Low-rank Adaptation of Large Language Models

Reference 27

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Observation c655d95e-7875-45fd-b5f9-1cda3ace99f4 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 28

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Observation cfdb1870-563d-4278-b3f4-f55483e6d9ce · outbound

This paper cites Iris-SAM: Iris segmentation using a foundation model,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Iris-SAM: Iris segmentation using a foundation model,

Reference 29

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Observation ef5716dc-8382-4d35-b9ce-711fac06e892 · outbound

This paper cites ChatGPT meets iris biometrics,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks ChatGPT meets iris biometrics,

Reference 30

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Observation 79a885ca-ca2e-46da-ad36-6cb32e3bbdb8 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks DINOv2: Learning Robust Visual Features without Supervision

Reference 31

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Observation 303a441b-7f0c-4d4a-a330-2f3d6ab85449 · outbound

This paper cites Froundation: Are foundation models ready for face recognition?.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Froundation: Are foundation models ready for face recognition?

Reference 32

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source=pdf_text observed=2026-08-07T12:33:52.757733Z digest=sha256:2a829a01968487fa65a169e8dc0087c45847654cad93ac07e024245ebe47a596

Observation 5dce114b-7b74-4f60-a2e1-7637cc3a6d4a · outbound

This paper cites A Comprehensive Survey of Foundation Models in Medicine.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks A Comprehensive Survey of Foundation Models in Medicine

Reference 33

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Observation e27750fe-a264-4f03-835c-d3d1e11edcfe · outbound

This paper cites Biomedical foundation model: A survey,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Biomedical foundation model: A survey,

Reference 34

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Observation 33d28018-de08-4315-b741-c0babbbb43f7 · outbound

This paper cites Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision

Reference 35

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Observation 942d2ddc-339a-4149-b90c-ba4bda02669e · outbound

This paper cites A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Reference 36

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Observation 097aef46-32a8-4afd-883b-1291bf64cbde · outbound

This paper cites Foundation models defining a new era in vision: a survey and outlook,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Foundation models defining a new era in vision: a survey and outlook,

Reference 37

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Observation c6824bc5-c6f0-4f19-8793-263ecda214cc · outbound

This paper cites Vision-language models for vision tasks: A survey,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Vision-language models for vision tasks: A survey,

Reference 38

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source=pdf_text observed=2026-08-07T12:33:53.392878Z digest=sha256:bae1098768e2a9a430513e75461514f0d717a3c430def474cbaf547aaae97691

Observation 78458ba2-76c3-442d-a0eb-5e06cdc39704 · outbound

This paper cites Multimodal large language models: A survey,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Multimodal large language models: A survey,

Reference 39

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source=pdf_text observed=2026-08-07T12:33:53.503888Z digest=sha256:d42029b9224a711cb9c49d40a3450642fa31ef79f23ec307d65c9311c19e0654

Observation b60aed5f-4d5a-41ec-a54c-9e7e21066ac7 · outbound

This paper cites A survey of multimodel large language models,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks A survey of multimodel large language models,

Reference 40

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source=pdf_text observed=2026-08-07T12:33:53.602167Z digest=sha256:b422d673bc4608a68ce208b712d023ae7950d185dcb3b211763f08596ed664e2

Observation fb421f06-751b-4774-a53f-03c80102a9c9 · outbound

This paper cites Exploring the frontier of vision-language models: A survey of current methodologies and future directions,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Exploring the frontier of vision-language models: A survey of current methodologies and future directions,

Reference 41

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source=pdf_text observed=2026-08-07T12:33:53.711684Z digest=sha256:50700f48549957f499771d85d82ef669bce1746f516a109d538d444e33fc0786

Observation 52db14e2-f999-42f4-9350-1f7c403f042a · outbound

This paper cites Unleashing the potential of prompt engineering for large language models,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Unleashing the potential of prompt engineering for large language models,

Reference 42

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:33:53.792057Z digest=sha256:4fc7237164a1bdf768ad8b8740f332b54541ac2a4d54720e660240d1839e970d

Observation b3eda719-3c14-4d2f-9f80-b30db19febfb · outbound

This paper cites FaceXFormer: A Unified Transformer for Facial Analysis.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks FaceXFormer: A Unified Transformer for Facial Analysis

Reference 43

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source=pdf_text observed=2026-08-07T12:33:53.917676Z digest=sha256:a7f80f5af19009471080ba9d6a4e1ba8ed99633e0dbe13d5c7ab9946013e45b0

Observation 8090335a-0d72-4d65-a8c4-083b89599d33 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 44

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:33:54.003956Z digest=sha256:5b9a3b1b9ff5034a70273cb229b495e927682a379ccf2b5dc2bb955366741220

Observation 99427402-a4b1-46fa-82d0-b14d81385a09 · outbound

This paper cites Foundation models and biometrics: A survey and outlook,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Foundation models and biometrics: A survey and outlook,

Reference 45

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source=pdf_text observed=2026-08-07T12:33:54.104918Z digest=sha256:9c6a95aa6763bbb38ceeda86b92d0a45b85d6732c0b184e161fca184e2802b4b

Observation c698e61e-b092-49ce-8e48-18b388d3ec77 · outbound

This paper cites Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning ,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning ,

Reference 46

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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.

source=pdf_text observed=2026-08-07T12:33:54.201186Z digest=sha256:5946e800c4b8dc92e8ba2dc17684a3c3f65f00a279f3d7a750daf808edfaa068

Observation eaf7a270-839c-49d0-9578-1d833e737997 · outbound

This paper cites Towards Zero-Shot Differential Morphing Attack Detection with Multimodal Large Language Models.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Towards Zero-Shot Differential Morphing Attack Detection with Multimodal Large Language Models

Reference 47

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source=pdf_text observed=2026-08-07T12:33:54.312611Z digest=sha256:975ab4fc8a1044bde995a0b2e008fbb2e594d333997c95c444c4c524ed27a140

Observation 0a62eb46-4819-427f-ac40-d54b91424f0a · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Gemini: A Family of Highly Capable Multimodal Models

Reference 48

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source=pdf_text observed=2026-08-07T12:33:54.389421Z digest=sha256:9883007053645cc8e9368a7370e60ee99c6cfc5ad7e707c22e1628a540acda78

Observation 54abbb25-738a-4edc-889d-c6db858de8a3 · outbound

This paper cites Iris recognition with off-the-shelf CNN features: A deep learning perspective,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Iris recognition with off-the-shelf CNN features: A deep learning perspective,

Reference 49

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raw_fallback, observed 2026-08-07T12:34:09.976404Z

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.

source=pdf_text observed=2026-08-07T12:33:54.506092Z digest=sha256:e8a235f35ae0a59f03afeaa42f539f6b1c15508c712d5f1a2cad050dbc9cf544

Observation ca9e034d-5768-4b6a-933b-7f9a2e0dd91b · outbound

This paper cites Grother, M.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Grother, M

Reference 50

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:33:54.587411Z digest=sha256:a6ccea4997097da14d5ad40b9a57bddf4969475cea50a8fbd3a88c6cb7121e84

Observation f6f7abca-ebec-4006-b302-dce7e6daa805 · outbound

This paper cites Saving face: Investigating the ethical concerns of facial recognition auditing,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Saving face: Investigating the ethical concerns of facial recognition auditing,

Reference 51

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raw_fallback, observed 2026-08-07T12:34:09.722410Z

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.

source=pdf_text observed=2026-08-07T12:33:54.663092Z digest=sha256:16de80327863199df652b3bdfec725088a5bfea931a27d3a8b5f030277024e8a

Observation 40b28c7b-4e45-4132-a4d7-311942d05618 · outbound

This paper cites Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,

Reference 52

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raw_fallback, observed 2026-08-07T12:34:09.570483Z

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.

source=pdf_text observed=2026-08-07T12:33:54.761967Z digest=sha256:82cf175e9f174a63cfbf03298d2bdcdc30e028bebbf370b1e96a396813109e29

Observation b506cb58-366b-4953-b88d-a287e2a7e57c · outbound

This paper cites Deep residual learning for image recognition,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Deep residual learning for image recognition,

Reference 53

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source=pdf_text observed=2026-08-07T12:33:54.845624Z digest=sha256:95f81b225ea53e23013c45e5dcd1dfe5e4797b856f5d06f0e3355b9818e5ee85

Observation f5bc04fb-7f23-423c-bc62-f4bfcec33e25 · outbound

This paper cites ImageNet Large Scale Visual Recognition Challenge,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks ImageNet Large Scale Visual Recognition Challenge,

Reference 54

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raw_fallback, observed 2026-08-07T12:34:09.411983Z

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.

source=pdf_text observed=2026-08-07T12:33:54.917970Z digest=sha256:d220353b86f1cc2229646db44549a1b6d103866d69bd0824346a4a7f6c34e555

Observation 9753fe11-2384-42bc-9e5a-29deeb16f687 · outbound

This paper cites EfficientNet: Rethinking model scaling for convolutional neural networks,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks EfficientNet: Rethinking model scaling for convolutional neural networks,

Reference 55

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raw_fallback, observed 2026-08-07T12:34:09.254402Z

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.

source=pdf_text observed=2026-08-07T12:33:55.030863Z digest=sha256:63cd4a8d53b0910e642e2ff78abc99c2b5f05039780ee13f7ceb04a3fdb4b2d0

Observation 22457d61-1808-4987-b53c-72b2984c29ec · outbound

This paper cites BERT: Pre- training of Deep Bidirectional Transformers for Language Understand- ing,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks BERT: Pre- training of Deep Bidirectional Transformers for Language Understand- ing,

Reference 56

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raw_fallback, observed 2026-08-07T12:34:09.038717Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:33:55.153756Z digest=sha256:6ab5130def04fbdc1a7a07400949375f77465d9ecd2629523636993e2162f9c0

Observation d610e65e-8239-427a-b163-cc27ee6d1628 · outbound

This paper cites Conceptual Cap- tions: A Cleaned, Hypernymed, Image Alt-text Dataset for Automatic Image Captioning,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Conceptual Cap- tions: A Cleaned, Hypernymed, Image Alt-text Dataset for Automatic Image Captioning,

Reference 57

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raw_fallback, observed 2026-08-07T12:34:08.848532Z

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.

source=pdf_text observed=2026-08-07T12:33:55.230901Z digest=sha256:ec6c06882c457638823b84de324c3fe4607f6a7070569bb0d58357902a101694

Observation 6519e9b9-f65b-4a1e-92e6-b3ca3368a96a · outbound

This paper cites Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models,

Reference 58

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raw_fallback, observed 2026-08-07T12:34:08.660718Z

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.

source=pdf_text observed=2026-08-07T12:33:55.327724Z digest=sha256:0754cc6efffd441bd19dc3e1f8ca67e694eb83bc22a1a8b6e076e63ae04870b5

Observation cbffa550-1bea-46fe-9f63-34a87253d94b · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Reproducible scaling laws for contrastive language-image learning,

Reference 59

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raw_fallback, observed 2026-08-07T12:34:08.496634Z

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.

source=pdf_text observed=2026-08-07T12:33:55.419043Z digest=sha256:3986cd3c2067c674aaaf305063b608cbd397eda16cda9e10fb00182cc945f23d

Observation 54816df3-7ac3-44a9-987e-493a51433a56 · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 60

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source=pdf_text observed=2026-08-07T12:33:55.558954Z digest=sha256:381f382c49e3fdb4043a12591abd29516a83d2013c0670d4446e52d7125d8afa

Observation f3987a2a-c4d1-4e75-9e22-0f4c59752654 · outbound

This paper cites Hugging Face: The AI Community Building the Future,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Hugging Face: The AI Community Building the Future,

Reference 61

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raw_fallback, observed 2026-08-07T12:34:08.309440Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:33:55.659949Z digest=sha256:b56ffb7f1ede8147ab1e9628e556f2f0c3dc27c613a42585f0fa6573bca0bdc9

Observation 7f775a49-f96c-41fd-9e34-8b88901ccfb9 · outbound

This paper cites LAION-5B: An open large- scale dataset for training next generation image-text models,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks LAION-5B: An open large- scale dataset for training next generation image-text models,

Reference 62

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source=pdf_text observed=2026-08-07T12:33:55.729852Z digest=sha256:eb2a4e825f47a9be716ffe35d1ad03f1cc1ea8ffe5279c33ab506826356c5e90

Observation c27a9a65-d796-4ec5-b697-cf77e70272c6 · outbound

This paper cites Emerging properties in self-supervised vision trans- formers,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Emerging properties in self-supervised vision trans- formers,

Reference 63

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raw_fallback, observed 2026-08-07T12:34:07.931933Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T12:33:55.821709Z digest=sha256:37e947070ff1f06984a7d0f6988b3dc9e17704e418c5f8c7b191ab8770a70fba

Observation a38daf0e-b96b-4b2f-abaf-e4bee5a9387b · outbound

This paper cites Vicuna: An open-source chatbot impressing GPT-4 with 90%* ChatGPT quality,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Vicuna: An open-source chatbot impressing GPT-4 with 90%* ChatGPT quality,

Reference 64

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source=pdf_text observed=2026-08-07T12:33:55.893891Z digest=sha256:13b750baadb3f7424777646b5573c0cd7411027a9de1cb888304f005abe2d145

Observation aefb5349-ae5b-4e53-a3f6-cd6ae42b8175 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks LLaMA: Open and Efficient Foundation Language Models

Reference 65

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source=pdf_text observed=2026-08-07T12:33:55.964136Z digest=sha256:5e037605a885e12f17881b8118d8a76a1dc96125fa5f9ad098f10d0e640bda41

Observation 517694cf-812b-4efc-b3fa-71f9612b474e · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 66

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source=pdf_text observed=2026-08-07T12:33:56.073024Z digest=sha256:e250fa78fb5563a348deabd727059327079b1b0c615c4ed896e9ada0f02d69aa

Observation 393bbb5a-41ba-444d-872b-ce64e739b817 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 67

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source=pdf_text observed=2026-08-07T12:33:56.192143Z digest=sha256:ce8f38a09e1d57281b7fb7ee2f76c58aa0bfd634728074505a9236c471c6d886

Observation 586f0be9-af3f-46ff-bd19-16b18fd9e896 · outbound

This paper cites GPT-4o System Card,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks GPT-4o System Card,

Reference 68

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raw_fallback, observed 2026-08-07T12:34:07.784892Z

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.

source=pdf_text observed=2026-08-07T12:33:56.292600Z digest=sha256:17d20ddd4dfe17f8a312cd9b1e7915cbedfe1b8b76cd94e8ddca6d53623512f2

Observation b59466c3-dffd-4a6f-b13e-d4be18d08e2a · outbound

This paper cites Claude 3.5 sonnet model card addendum,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Claude 3.5 sonnet model card addendum,

Reference 69

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raw_fallback, observed 2026-08-07T12:34:07.566275Z

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.

source=pdf_text observed=2026-08-07T12:33:56.400053Z digest=sha256:98f9fd7f1fd3f0edcbdf7e769fae5d95b9b29025995f0ed8aa47580391539c90

Observation e2f9fe8f-29ab-4e3a-aed5-cd08feddd96c · outbound

This paper cites Gemini 2.5: Our most intelligent AI model,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Gemini 2.5: Our most intelligent AI model,

Reference 70

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raw_fallback, observed 2026-08-07T12:34:07.378512Z

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.

source=pdf_text observed=2026-08-07T12:33:56.498198Z digest=sha256:4b41bfbdca1be4c441f9bd8ef42f3995d6cda27a14bd97837b87751f92e6f7a3

Observation 25b85af4-a0da-40cb-b7be-7091100c5fb9 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 71

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:33:56.614065Z digest=sha256:ec07ebd0481b40c873450cc80885b08f3e117322df74d1af54eb502a69a53e88

Observation 8e6a4edf-e39b-4758-bfb4-d6a9cd83c65e · outbound

This paper cites AgeDB: The first manually collected, in-the-wild age database,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks AgeDB: The first manually collected, in-the-wild age database,

Reference 72

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raw_fallback, observed 2026-08-07T12:34:07.191587Z

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.

source=pdf_text observed=2026-08-07T12:33:56.714493Z digest=sha256:6afe922894bcfc3bc95d767a21fd6b52f1214ce10257d7eb84390a7ae2854b39

Observation 21b6f84f-ec9d-4413-8184-60fa5d6dcb0c · outbound

This paper cites Nearest neighbor pattern classification,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Nearest neighbor pattern classification,

Reference 73

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raw_fallback, observed 2026-08-07T12:34:06.994188Z

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.

source=pdf_text observed=2026-08-07T12:33:56.797071Z digest=sha256:bbbc4e9182020a4865e0d6bd553a0c336fd5bcb55a262a3fa7ccada6dfb7f5c0

Observation 585caeab-76c7-470c-8d62-05080f3a69b0 · outbound

This paper cites The use of multiple measurements in taxonomic prob- lems,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks The use of multiple measurements in taxonomic prob- lems,

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:33:56.894512Z digest=sha256:adecf14f7d634f55f2f433d178e95fa1ad90a849e7cfcaa569f4fd54840da8b5

Observation f4f84f0f-4536-44a3-a1ee-f571b4ba662c · outbound

This paper cites The regression analysis of binary sequences,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks The regression analysis of binary sequences,

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-07T12:34:06.825813Z

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.

source=pdf_text observed=2026-08-07T12:33:56.989155Z digest=sha256:ea83aa4756b2e3a88f01b3cad20a6295d2fe3983245418fed8d4b9ad4fc1d7db

Observation 759320df-c175-428a-afc4-e9b996b35979 · outbound

This paper cites Ridge regression: Biased estimation for nonorthogonal problems,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Ridge regression: Biased estimation for nonorthogonal problems,

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T12:33:57.079370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:33:57.079370Z digest=sha256:80fa0be4672de2d7fcc9c3a5d534cd8f2d900c297114e638c6871a04446b9c51

Observation 7492ce93-c58b-4e05-a4f2-7d4e1fc317a3 · outbound

This paper cites Support-vector networks,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Support-vector networks,

Reference 77

Resolution
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raw_fallback, observed 2026-08-07T12:34:06.629471Z

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.

source=pdf_text observed=2026-08-07T12:33:57.162327Z digest=sha256:1eb6d247be280f67f87cc4fed42bf78f28346dd0701f62a0c2d40e5d6a19f710

Observation c44767e2-eab8-49b4-b9b0-9f6d3ef3f4c3 · outbound

This paper cites Labeled Faces in the Wild: A database for studying face recognition in uncon- strained environments,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Labeled Faces in the Wild: A database for studying face recognition in uncon- strained environments,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:06.475066Z

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.

source=pdf_text observed=2026-08-07T12:33:57.213375Z digest=sha256:23e8510b9a3265341e940f3886553d9703e1d537eb432b381d8bf521a03fabb4

Observation fc193e45-b04e-47d3-a79e-3e16042b208f · outbound

This paper cites Cross-Pose LFW: A database for studying cross-pose face recognition in unconstrained environments,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Cross-Pose LFW: A database for studying cross-pose face recognition in unconstrained environments,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:06.260882Z

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.

source=pdf_text observed=2026-08-07T12:33:57.273399Z digest=sha256:bd4491f880952410573a0b57a9dec51cbdefb5002d4048dea4e62d557ad5e4d8

Observation 4ddb5db6-547d-4289-8dd2-cee0c73a0bac · outbound

This paper cites Frontal to profile face verification in the wild,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Frontal to profile face verification in the wild,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:06.072144Z

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.

source=pdf_text observed=2026-08-07T12:33:57.345753Z digest=sha256:42a299b8fb72355e065c3b1da07c6c0a131b7d1cb9580860f22c471e52cee02a

Observation adbf81df-451b-4444-9d7f-f996cd100fd3 · outbound

This paper cites Benchmarking Deep Network Architectures for Ethnicity Recognition Using a New Large Face Dataset,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Benchmarking Deep Network Architectures for Ethnicity Recognition Using a New Large Face Dataset,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:05.885382Z

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.

source=pdf_text observed=2026-08-07T12:33:57.437073Z digest=sha256:1a065cd75eba81a62f7838efccfda351bca3d36d98ae8aecac85af2fa5cd8b6c

Observation a85ab5a7-ca99-4136-be9e-9afdd41e9111 · outbound

This paper cites VGGFace2: A dataset for recognising faces across pose and age,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks VGGFace2: A dataset for recognising faces across pose and age,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:05.641971Z

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.

source=pdf_text observed=2026-08-07T12:33:57.491346Z digest=sha256:94ff8102337130061bca9b135a5305c0cdddb61d7cdd2d00b68fe546f861198f

Observation 665d9f6f-3e3e-4135-9f80-a51d217214cb · outbound

This paper cites Comparison and Combination of Iris Matchers for Reliable Personal Authentication,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Comparison and Combination of Iris Matchers for Reliable Personal Authentication,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:05.450235Z

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.

source=pdf_text observed=2026-08-07T12:33:57.555376Z digest=sha256:bff0473998a94ae833a0b24e04e902cc98d3d4dd260138e2b592d067c0e69de9

Observation 54d8fbe6-613e-4e80-a44b-c8a973dc959b · outbound

This paper cites Image Under- standing for Iris Biometrics: A survey,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Image Under- standing for Iris Biometrics: A survey,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:05.198931Z

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.

source=pdf_text observed=2026-08-07T12:33:57.650278Z digest=sha256:03d7a3c2cb76fb68cdffeac2092c964b45830fa92f51de8d2149ed5da8ee4785

Observation e6addf69-0a41-433d-aef1-75481983fbeb · outbound

This paper cites Ghclnet: A generalized hierarchically tuned contact lens detection network,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Ghclnet: A generalized hierarchically tuned contact lens detection network,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:05.014313Z

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.

source=pdf_text observed=2026-08-07T12:33:57.715468Z digest=sha256:cadf648f592a77a6a63a36c7793de7fa5857d0e50a1473e4104ce1cf5c0c27bc

Observation c624d3f8-37e0-4f45-be75-698ccddf41b5 · outbound

This paper cites IIT Delhi Iris Database (Ver- sion 1.0),.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks IIT Delhi Iris Database (Ver- sion 1.0),

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:04.798688Z

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.

source=pdf_text observed=2026-08-07T12:33:57.783031Z digest=sha256:68e76b6d1a5e48f96076d9a8b1becc7426b0f6f9aa90f07f5deab888bd0cb9fc

Observation f4f1f697-863a-4d42-9cfa-fb3a4e9e996f · outbound

This paper cites FaceForensics++: Learning to detect manipulated facial images,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks FaceForensics++: Learning to detect manipulated facial images,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:04.603858Z

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.

source=pdf_text observed=2026-08-07T12:33:57.830914Z digest=sha256:ea3074dad67496ccd6c1149a682fe144ce02488040e8b5b2df569490d26b69d5

Observation f804f9b5-023d-4e77-ae84-9cf487955c7d · outbound

This paper cites Deepfakes,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Deepfakes,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:04.413828Z

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.

source=pdf_text observed=2026-08-07T12:33:57.897667Z digest=sha256:8f373f2d83c75f858d47d50b980ac42d571245186bb13e0bc4a5398a98f573a0

Observation 305eca47-3e12-424c-bac8-e883f89e0043 · outbound

This paper cites Face2Face: real-time face capture and reenactment of RGB videos,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Face2Face: real-time face capture and reenactment of RGB videos,

Reference 89

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unresolved
no resolver link, observed 2026-08-07T12:33:57.944751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:33:57.944751Z digest=sha256:65b68ff835810e1f884081f4ee90000a0d6fe002d7d99538212f33af88faa7d0

Observation 3f4fa1e9-4263-4fc2-b7e8-cd4969d9d730 · outbound

This paper cites Faceswap,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Faceswap,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:04.241438Z

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.

source=pdf_text observed=2026-08-07T12:33:58.009751Z digest=sha256:91f03e442f16be464de948f5f5e9873ecd3f6342471c4b9c1726ab2eb96a0790

Observation 1d69fb19-ebc0-452c-9c52-a239fc9fa9aa · outbound

This paper cites Deferred neural rendering: image synthesis using neural textures,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Deferred neural rendering: image synthesis using neural textures,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:04.056472Z

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.

source=pdf_text observed=2026-08-07T12:33:58.065755Z digest=sha256:571af53334c9eab3c7cd34d54b836070ae98477e138c3a5aaad725a29a67f289

Observation 72ae0cb0-c890-40a9-af97-bcbfa4db30fe · outbound

This paper cites Extended StirTrace Benchmarking of Biometric and Forensic Qualities of Morphed Face Images,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Extended StirTrace Benchmarking of Biometric and Forensic Qualities of Morphed Face Images,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:03.848738Z

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.

source=pdf_text observed=2026-08-07T12:33:58.125937Z digest=sha256:c03b8af09d9183c299665f174bddf60da702303cd81a7ee2202f8b362c5d3424

Observation 6996a49a-6fe6-48bf-bbe5-5b1626b9b186 · outbound

This paper cites Face Research Lab London (FRLL) Image Dataset,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Face Research Lab London (FRLL) Image Dataset,

Reference 93

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unresolved
no resolver link, observed 2026-08-07T12:33:58.200471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:33:58.200471Z digest=sha256:9a6b4fe93c4c4738361223b728cbae5451c91c61775ad4f9bf43778da66a02ba

Observation d53c74f8-b478-4120-b80b-b57d103ba82b · outbound

This paper cites MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks MorDIFF: Recognition Vulnerability and Attack Detectability of Face Morphing Attacks Created by Diffusion Autoencoders,

Reference 94

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verified fuzzy
raw_fallback, observed 2026-08-07T12:34:03.655359Z

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.

source=pdf_text observed=2026-08-07T12:33:58.266616Z digest=sha256:e4c3ec5bb47c2ddf726edfbd544689550939b574452a07c76eba48b2bcf569c9

Observation e17a25b8-15b7-4c10-bfba-4950700f5191 · outbound

This paper cites Face morph using OpenCV — C++ / Python,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Face morph using OpenCV — C++ / Python,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:03.479567Z

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.

source=pdf_text observed=2026-08-07T12:33:58.324893Z digest=sha256:5dc4203dad1b6cfe4e13463ae1d6c3c31e06e73297297138d92d99ad923384c0

Observation cfc2d9e7-9790-4e32-bd51-0806446c4ce4 · outbound

This paper cites Analyzing and Improving the Image Quality of StyleGAN,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Analyzing and Improving the Image Quality of StyleGAN,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:03.302917Z

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.

source=pdf_text observed=2026-08-07T12:33:58.365114Z digest=sha256:0a0878ab7bdf4aa7d9d6ba57a091e5855c63c28cf7a8d069891701977d47898e

Observation a1371aae-4c04-46eb-8f19-306033a72206 · outbound

This paper cites debruine/webmorph morphing software: Beta release 2,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks debruine/webmorph morphing software: Beta release 2,

Reference 97

Resolution
verified exact
doi, observed 2026-08-07T12:33:59.467976Z

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.

source=pdf_text observed=2026-08-07T12:33:58.430916Z digest=sha256:0db9486e8c96b8e66fd6e95323a3db54d390ac00836c53a19a07802bac289bdd

Observation da2b80ea-bac4-470e-aee8-65cf2142a4fc · outbound

This paper cites Face morpher,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Face morpher,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:03.161298Z

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.

source=pdf_text observed=2026-08-07T12:33:58.514651Z digest=sha256:6bb59f6c16647b45f8737b5238c119b724586547b59caa62c3cd8bd11774828b

Observation 81820270-120b-4925-ae7d-4a95b8a00fa2 · outbound

This paper cites dc-GAN: Dual-Conditioned GAN for Face Demorphing From a Single Morph,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks dc-GAN: Dual-Conditioned GAN for Face Demorphing From a Single Morph,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:34:02.883728Z

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.

source=pdf_text observed=2026-08-07T12:33:58.556138Z digest=sha256:e0b9af7822daf5901fba4a1d7ac73a055634f72dfc9516524ae763cd3d15c246

Observation b5e307c4-8227-4f2a-8bec-1c017ffc5e3e · outbound

This paper cites Metric for Evaluating Performance of Reference-Free Demor- phing Methods,.

Benchmarking Foundation Models for Zero-Shot Biometric Tasks Metric for Evaluating Performance of Reference-Free Demor- phing Methods,

Reference 100

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verified fuzzy
raw_fallback, observed 2026-08-07T12:34:02.672159Z

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.

source=pdf_text observed=2026-08-07T12:33:58.588182Z digest=sha256:a2f0304ca6cff8cea64818252952f1ed2a7f253eaa9957f516137ff405a0d342

Pith citing papers

Observation cae588d5-5aaf-4fe7-ba9b-8cc8d7570f64 · inbound

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition cites this paper.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Benchmarking Foundation Models for Zero-Shot Biometric Tasks

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T20:12:20.913011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:12:20.913011Z digest=sha256:9167124f7ba234ab49fff62e1b9792b305348a9cef4e3fb3ecc49c4051b2f32d

Observation ca7cbeb0-0df1-462e-b153-db7ab29f2760 · inbound

FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis cites this paper.

FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Benchmarking Foundation Models for Zero-Shot Biometric Tasks

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:28:23.891440Z

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.

source=pdf_text observed=2026-05-16T20:27:40.572994Z digest=sha256:c8e1c8651c943435bd4e9c38e50803541e529369c77fbfd1ccef3c1cb721143c

Observation f8d0f0cd-a880-45f3-aff5-97508948d9ea · inbound

VISER: Visually-Informed System for Enhanced Robustness in Open-Set Iris Presentation Attack Detection cites this paper.

VISER: Visually-Informed System for Enhanced Robustness in Open-Set Iris Presentation Attack Detection Benchmarking Foundation Models for Zero-Shot Biometric Tasks

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:39:54.292465Z

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.

source=pdf_text observed=2026-05-15T09:39:40.579712Z digest=sha256:aff45a3f87575e170387ae5c1f492bad2e3a837cd6926258fcded084183cea27

Observation 1e3e2abc-ee62-4313-9d00-eb3fd727960f · inbound

DiscoGen: Procedural Generation of Algorithm Discovery Tasks in Machine Learning cites this paper.

DiscoGen: Procedural Generation of Algorithm Discovery Tasks in Machine Learning Benchmarking Foundation Models for Zero-Shot Biometric Tasks

Reference 55

Resolution
unresolved
no resolver link, observed 2026-07-13T22:55:21.490267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T22:55:21.490267Z digest=sha256:4c3ee05ebc21202239b93bd947a2a3c32c0c7d20546f9fde6abcd36cc6bf793f

Observation 0249476f-e644-4d13-87f3-6b4094bbad62 · inbound

Compatibility of Face Embeddings Across Deep Neural Networks cites this paper.

Compatibility of Face Embeddings Across Deep Neural Networks Benchmarking Foundation Models for Zero-Shot Biometric Tasks

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:35:50.298147Z

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.

source=pdf_text observed=2026-05-10T18:26:52.335249Z digest=sha256:7a8b3eee2d9d962801b94d1a14cdea5bd2bc2b884d79cc3f6ddecc929a89f4df

Observation 46327b79-6dba-4e5c-a708-5ec80bc20700 · inbound

A Systematic Failure Analysis of Vision Foundation Models for Open Set Iris Presentation Attack Detection cites this paper.

A Systematic Failure Analysis of Vision Foundation Models for Open Set Iris Presentation Attack Detection Benchmarking Foundation Models for Zero-Shot Biometric Tasks

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:08:13.328300Z

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.

source=pdf_text observed=2026-05-20T11:07:56.018916Z digest=sha256:2c330504c6caf489f944681a216f2f3b9dce0d38e33215eba09704ef1145ff53