Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2507.03541.

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

pith.paper-citation-record.v1
2507.03541 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:12:20.961681Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:59:35.365366Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T16:53:00.079094Z

Reference resolution

55 of 55 outbound references displayed

verified exact1
verified fuzzy40
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d278ade9-90d6-4838-9fe2-23a5f305782c · outbound

This paper cites Technical report, National Institute of Standards and Technology, 2025.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Technical report, National Institute of Standards and Technology, 2025

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:23.384428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5760f778-7b26-4287-867f-165a76228b2a · outbound

This paper cites Face Recognition in the age of CLIP & Billion image datasets.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Face Recognition in the age of CLIP & Billion image datasets

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:12:21.372883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d3dd8ade-dc4c-40a0-b345-f4e2040ea647 · outbound

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

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition On the Opportunities and Risks of Foundation Models

Reference 3

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Source-reported events for the cited work

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Observation c4fb0193-fe4e-47a0-bd42-f7500050b7eb · outbound

This paper cites Emerg- ing Properties in Self-Supervised Vision Transformers.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Emerg- ing Properties in Self-Supervised Vision Transformers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:23.259953Z

Source-reported events for the cited work

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Observation cf8c6623-dd7e-4222-9dc1-a3b04c3e636b · outbound

This paper cites InternVL: Scaling Up Vision Foundation Models and Aligning for Generic Visual-linguistic Tasks.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition InternVL: Scaling Up Vision Foundation Models and Aligning for Generic Visual-linguistic Tasks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:23.102831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b1b0a315-ba1d-41c7-ab5a-c5b62b7cac6f · outbound

This paper cites Reproducible Scal- ing Laws for Contrastive Language-Image Learning.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Reproducible Scal- ing Laws for Contrastive Language-Image Learning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:22.936362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e6c23df1-9f4d-4375-a89a-d61568432e2e · outbound

This paper cites FRounda- tion: Are Foundation Models Ready for Face Recognition? Image and Vision Computing, 132:104815, 2025.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition FRounda- tion: Are Foundation Models Ready for Face Recognition? Image and Vision Computing, 132:104815, 2025

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:22.820602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 926023a7-5293-4155-b271-5a76cbaf0449 · outbound

This paper cites MS1MV2 Dataset.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition MS1MV2 Dataset

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:22.689937Z

Source-reported events for the cited work

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Observation 90a828be-1838-4ecf-bd0c-46ade9e6ba13 · outbound

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

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 9

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Source-reported events for the cited work

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Observation a4f95dd0-7af5-4c92-8836-ac2eecc21573 · outbound

This paper cites How Good is ChatGPT at Face Biomet- rics? A First Look Into Recognition, Soft Biometrics, and Explainability.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition How Good is ChatGPT at Face Biomet- rics? A First Look Into Recognition, Soft Biometrics, and Explainability

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:22.520637Z

Source-reported events for the cited work

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Observation a778d4c4-4827-4939-88b3-23ef853aabdd · outbound

This paper cites ArcFace: Additive Angular Margin Loss for Deep Face Recognition.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition ArcFace: Additive Angular Margin Loss for Deep Face Recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:22.344780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f8b66350-a64f-4c1e-9432-fcebb8fc4bd9 · outbound

This paper cites Lightweight Face Recognition Chal- lenge.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Lightweight Face Recognition Chal- lenge

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:22.207497Z

Source-reported events for the cited work

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Observation b46c54f8-fbdc-478c-b71c-3cb23a1a321c · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:22.093098Z

Source-reported events for the cited work

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Observation f2381a6e-d629-49d7-90c9-1077f30fdd47 · outbound

This paper cites ChatGPT Meets Iris Bio- metrics.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition ChatGPT Meets Iris Bio- metrics

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:22.010966Z

Source-reported events for the cited work

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Observation fb33ebe4-88a5-4e29-ba10-75389577abf7 · outbound

This paper cites Iris-SAM: Iris Segmenta- tion Using a Foundation Model.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Iris-SAM: Iris Segmenta- tion Using a Foundation Model

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.898415Z

Source-reported events for the cited work

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Observation dc67984c-68dd-45d1-abaf-ae52f0264934 · outbound

This paper cites ChatGPT and Biometrics: An Assessment of Face Recognition, Gender Detection, and Age Estimation Capabilities.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition ChatGPT and Biometrics: An Assessment of Face Recognition, Gender Detection, and Age Estimation Capabilities

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.861773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 37aa7aea-1dfa-4560-9a52-d23da8998c81 · outbound

This paper cites Huang, Marwan Mattar, Tamara Berg, and Eric Learned-Miller.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Huang, Marwan Mattar, Tamara Berg, and Eric Learned-Miller

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.828994Z

Source-reported events for the cited work

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Observation b03541c1-a26f-4838-9544-b588d48be7ee · outbound

This paper cites OpenCLIP: Open-Source CLIP Reproduction.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition OpenCLIP: Open-Source CLIP Reproduction

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.806197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d0ca887e-159f-4cf3-9a6a-ddce5a038041 · outbound

This paper cites Jain, Arun A.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Jain, Arun A

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.777733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8f8fa273-5e88-48a3-a7fd-9eec2f67c68c · outbound

This paper cites Scaling Up Visual and Vision-language Represen- tation Learning With Noisy Text Supervision.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Scaling Up Visual and Vision-language Represen- tation Learning With Noisy Text Supervision

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.754841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 52ead8fd-36ce-4eb2-990e-d14a4e7a3e3d · outbound

This paper cites Kalka, Brianna Maze, James A.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Kalka, Brianna Maze, James A

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.735073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1d035294-0c5b-4b03-8972-be27ef710072 · outbound

This paper cites Jain, and Xiaoming Liu.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Jain, and Xiaoming Liu

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.716412Z

Source-reported events for the cited work

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Observation 9c6a8ae8-1f22-46e5-a09e-07f6093319b6 · outbound

This paper cites Jain, and Xiaoming Liu.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Jain, and Xiaoming Liu

Reference 23

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Source-reported events for the cited work

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Observation a77a017c-a0b0-45e1-bc66-d0f0ea7c9da7 · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.696363Z

Source-reported events for the cited work

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Observation ba366a29-feef-45ca-a837-b244f9cc0d7f · outbound

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

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Exploring ChatGPT for Face Presentation Attack Detection in Zero and Few-Shot in-Context Learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.680074Z

Source-reported events for the cited work

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Observation 37936dc0-fe14-4191-b2c3-a0f4ebf3d492 · outbound

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

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition BLIP: Bootstrapping Language-image Pre-training for Uni- fied Vision-language Understanding and Generation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.666123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 84522745-a2c5-4658-93bd-389558d22b6b · outbound

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

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition BLIP-2: Bootstrapping Language-image Pre-training With Frozen Image Encoders and Large Language Models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.651555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 240e5c11-1f7e-468b-8b57-2234d3591774 · outbound

This paper cites Improved Baselines With Visual Instruction Tuning.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Improved Baselines With Visual Instruction Tuning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.637541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d6ecbd2-a35d-422a-9158-ae6b9be26fd6 · outbound

This paper cites LLaV A-NeXT: Im- proved Reasoning, OCR, and World Knowledge, 2024.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition LLaV A-NeXT: Im- proved Reasoning, OCR, and World Knowledge, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.623151Z

Source-reported events for the cited work

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Observation b6f21ef8-d293-41e1-844f-29c9a6069727 · outbound

This paper cites SphereFace: Deep Hypersphere Embed- ding for Face Recognition.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition SphereFace: Deep Hypersphere Embed- ding for Face Recognition

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.607624Z

Source-reported events for the cited work

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Observation 13caee5f-af3e-44d4-ae08-5802f785670e · outbound

This paper cites Duncan, Nathan Kalka, Tim Miller, Charles Otto, Anil K.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Duncan, Nathan Kalka, Tim Miller, Charles Otto, Anil K

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.592456Z

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Observation 5beed6d8-1ca9-482e-aef6-4df3df06e100 · outbound

This paper cites Segment Anything Model for Medical Image Analysis: An Experimental Study.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Segment Anything Model for Medical Image Analysis: An Experimental Study

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.576994Z

Source-reported events for the cited work

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Observation 4ddd8112-d2fd-4019-a7d6-d64ee27c9fd1 · outbound

This paper cites MagFace: A Universal Representation for Face Recognition and Quality Assessment.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition MagFace: A Universal Representation for Face Recognition and Quality Assessment

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.561876Z

Source-reported events for the cited work

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Observation 2c26d694-76b2-4b79-b379-b15b3bb0ca7f · outbound

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Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Unresolved cited work

Reference 34

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Observation 0f6d820f-1be1-4786-b7b0-fc98d0b61ec9 · outbound

This paper cites GPT-4 Technical Report.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition GPT-4 Technical Report

Reference 35

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Observation fae3f88d-758e-4108-867c-0f87b7d35c0c · outbound

This paper cites GPT-4o System Card.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition GPT-4o System Card

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.546403Z

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Observation ae3f7783-ad44-4a3a-b801-fbb70f7d49bf · outbound

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

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition DINOv2: Learning Robust Visual Features without Supervision

Reference 37

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Source-reported events for the cited work

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Observation 6bd892dc-8115-4e42-ab56-54ae2b736ac9 · outbound

This paper cites FoundPAD: Foundation Models Reloaded for Face Presen- tation Attack Detection, 2025.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition FoundPAD: Foundation Models Reloaded for Face Presen- tation Attack Detection, 2025

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.530717Z

Source-reported events for the cited work

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Observation 73a3e708-d4c0-45dc-8c2e-59b9ea87119c · outbound

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

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T20:12:20.884123Z

Source-reported events for the cited work

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Observation 4d3105e1-c27d-4770-8bad-26bdb112d34e · outbound

This paper cites Learning Transferable Visual Models from Natural Language Super- vision.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Learning Transferable Visual Models from Natural Language Super- vision

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.514251Z

Source-reported events for the cited work

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Observation 26102f57-b261-4bfe-a289-9120b0820ce7 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition SAM 2: Segment Anything in Images and Videos

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.499356Z

Source-reported events for the cited work

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Observation 85e581fc-6061-4700-aa51-157301ef4674 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 42

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Source-reported events for the cited work

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Observation 31247505-d03d-4bc8-bb38-2d7e1d6b4d6f · outbound

This paper cites FaceNet: A Unified Embedding for Face Recognition and Clustering.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition FaceNet: A Unified Embedding for Face Recognition and Clustering

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.484222Z

Source-reported events for the cited work

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Observation bdc7a615-85fb-49c8-bf27-bb80074646f1 · outbound

This paper cites Foundation Models and Biometrics: A Survey and Outlook.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Foundation Models and Biometrics: A Survey and Outlook

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.468885Z

Source-reported events for the cited work

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

This paper cites Benchmarking Foundation Models for Zero-Shot Biometric Tasks.

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

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Observation 280eeabb-2abe-46e0-a6aa-3bcdba9989b9 · outbound

This paper cites Towards Iris Presentation Attack Detection with Foundation Models.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Towards Iris Presentation Attack Detection with Foundation Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T20:12:20.917817Z

Source-reported events for the cited work

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Observation 3af81ce6-7f94-4950-8544-bb03bdf32153 · outbound

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

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Gemini: A Family of Highly Capable Multimodal Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T20:12:20.922509Z

Source-reported events for the cited work

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Observation dd19fb99-5ed4-49f2-b54b-d7514fc65463 · outbound

This paper cites CosFace: Large Margin Cosine Loss for Deep Face Recognition.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition CosFace: Large Margin Cosine Loss for Deep Face Recognition

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.452230Z

Source-reported events for the cited work

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Observation a63b74e1-62ca-46bc-8057-33b8893f8287 · outbound

This paper cites Sector Rotation by Factor Model and Fundamental Analysis.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Sector Rotation by Factor Model and Fundamental Analysis

Reference 49

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Observation d7fb838b-7e24-4114-a2b6-7cb543f9db81 · outbound

This paper cites Jain, James A.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Jain, James A

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.436387Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 604c3992-4a15-460e-b7d0-44eeda4e2d4e · outbound

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

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T20:12:20.942000Z

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Observation 1b5cd669-612c-4a32-a0cd-96d3b868be88 · outbound

This paper cites Grok-4 Language Model.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Grok-4 Language Model

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.421554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 66ff6195-79cc-44be-93a9-7bb79815baab · outbound

This paper cites Cross-Pose LFW: A Database for Studying Cross-Pose Face Recognition in Un- constrained Environments.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition Cross-Pose LFW: A Database for Studying Cross-Pose Face Recognition in Un- constrained Environments

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.404719Z

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Observation fd02ebad-55c7-4314-b2ce-37e4ab195079 · outbound

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

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T20:12:20.956555Z

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Observation e077d27c-c7b1-436d-b0bc-0b2e13efb8e1 · outbound

This paper cites WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition.

Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:12:21.389372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 4b73e817-a026-4f9c-9fca-30e2c2619c89 · inbound

ArtFace: Towards Historical Portrait Face Identification via Model Adaptation cites this paper.

ArtFace: Towards Historical Portrait Face Identification via Model Adaptation Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T14:59:35.365366Z

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Observation 96fa4867-9652-4c67-8075-88314dffdf4f · inbound

Training a Student Expert via Semi-Supervised Foundation Model Distillation cites this paper.

Training a Student Expert via Semi-Supervised Foundation Model Distillation Foundation versus Domain-specific Models: Performance Comparison, Fusion, and Explainability in Face Recognition

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-13T16:53:00.080565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.