Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-20T10:51:55.570220Z
Paper Citation Record · LEDGER
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning
As of 6 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2605.18238.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
43 of 43 outbound references displayed
- verified exact5
- verified fuzzy38
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9d74dbda-68c5-43d1-94e5-7f5ef1e737b5 · outbound
This paper cites Partial FC: Training 10 million identities on a single machine.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Partial FC: Training 10 million identities on a single machine
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.976430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3662e541-15a3-474d-ab0c-00f580e5bdd6 · outbound
This paper cites Digiface-1m: 1 million digital face images for face recognition.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Digiface-1m: 1 million digital face images for face recognition
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.969014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 13fb7aaf-591c-4957-953a-8c699799ef60 · outbound
This paper cites Idiff-face: Synthetic-based face recognition through fizzy identity-conditioned diffusion model.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Idiff-face: Synthetic-based face recognition through fizzy identity-conditioned diffusion model
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.974526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d9db89d2-98c5-461c-a169-0375a17d43fe · outbound
This paper cites Sface: Privacy- friendly and accurate face recognition using synthetic data.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Sface: Privacy- friendly and accurate face recognition using synthetic data
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.964899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cb07a107-dfbd-4ab0-ba06-f859357aa305 · outbound
This paper cites Securing autonomous AI agents.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Securing autonomous AI agents
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.972670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e9b0c8ee-b2c1-4337-a77f-bc865142f96f · outbound
This paper cites Id-reveal: Identity-aware deepfake video detection.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Id-reveal: Identity-aware deepfake video detection
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.970871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 43d610fe-b155-48aa-98f1-f05c09e59032 · outbound
This paper cites ArcFace: Additive angular margin loss for deep face recognition.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning ArcFace: Additive angular margin loss for deep face recognition
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.966851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8a703588-3e58-43ed-bc73-f0bae6810880 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning An image is worth 16x16 words: Transformers for image recognition at scale
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.978356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3eba6789-c950-4730-863a-829671d6c4e7 · outbound
This paper cites Region-aware temporal inconsistency learning for deepfake video detection.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Region-aware temporal inconsistency learning for deepfake video detection
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.980248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 359cc167-7eff-4693-9a42-76ea730fd4a8 · outbound
This paper cites GANs trained by a two time-scale update rule converge to a local Nash equilibrium.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning GANs trained by a two time-scale update rule converge to a local Nash equilibrium
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.032157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 57f4d7bc-2434-414d-8ab7-442005b87b69 · outbound
This paper cites Denoising diffusion probabilistic models.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Denoising diffusion probabilistic models
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.028468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5f8d1e80-8f3c-4ae4-95b8-51f7dd1abd16 · outbound
This paper cites Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.026358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 67953c66-95fa-45a5-b27b-51d0fb294f51 · outbound
This paper cites Billion-scale similarity search with GPUs.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Billion-scale similarity search with GPUs
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.034039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7b8f3916-621f-4963-9c5b-7966ad5571d3 · outbound
This paper cites A style-based generator architecture for generative adversarial networks.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning A style-based generator architecture for generative adversarial networks
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.018975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f75c8a24-c7de-4cf6-966c-66161f095286 · outbound
This paper cites AdaFace: Quality adaptive margin for face recognition.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning AdaFace: Quality adaptive margin for face recognition
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.022689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0b5155dd-8f8b-4e67-925b-760c380dbab3 · outbound
This paper cites DCFace: Synthetic face generation with dual condition diffusion model.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning DCFace: Synthetic face generation with dual condition diffusion model
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.013027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 626f9a61-d080-48b8-814d-bcdd4a58e3b0 · outbound
This paper cites VIGFace: Virtual identity generation for privacy-free face recognition dataset.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning VIGFace: Virtual identity generation for privacy-free face recognition dataset
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.014998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ecc454d2-891d-4857-b4bd-5d31d73ecfe4 · outbound
This paper cites SELFI: Selective Fusion of Identity for Generalizable Deepfake Detection.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning SELFI: Selective Fusion of Identity for Generalizable Deepfake Detection
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T10:53:13.237514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b3780386-5a3f-4e5f-8084-aa3671b32491 · outbound
This paper cites Preserving fairness generalization in deepfake detection.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Preserving fairness generalization in deepfake detection
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.010984Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 93a1b836-4683-4ed2-ae1d-fdf2a145bef1 · outbound
This paper cites AI-Face: A million-scale demographi- cally annotated ai-generated face dataset and fairness benchmark.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning AI-Face: A million-scale demographi- cally annotated ai-generated face dataset and fairness benchmark
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.017091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8d3590b8-4fcc-4104-9662-08b8060c2034 · outbound
This paper cites Spatial-phase shallow learning: rethinking face forgery detection in frequency domain.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Spatial-phase shallow learning: rethinking face forgery detection in frequency domain
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.020810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9f9ffad5-9fee-48b8-8e5c-43e7f44959c0 · outbound
This paper cites Sphereface: Deep hypersphere embedding for face recognition.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Sphereface: Deep hypersphere embedding for face recognition
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.009139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2128d896-bed9-4c2e-be99-2d18246b6deb · outbound
This paper cites What is Microsoft Entra Agent ID? https://learn.microsoft.com/en-us/ entra/agent-id/what-is-microsoft-entra-agent-id , April 2026.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning What is Microsoft Entra Agent ID? https://learn.microsoft.com/en-us/ entra/agent-id/what-is-microsoft-entra-agent-id , April 2026
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.003452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 002d6ee3-8a1f-43f7-9297-88c8b7db267e · outbound
This paper cites Arc2face: A foundation model for ID-consistent human faces.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Arc2face: A foundation model for ID-consistent human faces
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.005340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e99e480a-d895-45fe-a00e-fc877f3171bd · outbound
This paper cites Thinking in frequency: Face forgery detection by mining frequency-aware clues.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Thinking in frequency: Face forgery detection by mining frequency-aware clues
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.007342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5a868531-eb9a-4d72-a3e2-fd7a6c8d6482 · outbound
This paper cites Synface: Face recognition with synthetic data.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Synface: Face recognition with synthetic data
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.024508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 28e74b57-db9f-4c40-a8f0-19d3b500be22 · outbound
This paper cites Faceforensics++: Learning to detect manipulated facial images.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Faceforensics++: Learning to detect manipulated facial images
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.030396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 944a9804-15f7-4aad-b5a6-9959ddede9ea · outbound
This paper cites HyperFace: Generating synthetic face recognition datasets by exploring face embedding hypersphere.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning HyperFace: Generating synthetic face recognition datasets by exploring face embedding hypersphere
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.035825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a9cdd28d-eb8c-42a1-aa57-e916a1309cb6 · outbound
This paper cites Detecting deepfakes with self-blended images.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Detecting deepfakes with self-blended images
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:14.001536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d50082b3-5fb2-4380-9f21-634deb2d06c6 · outbound
This paper cites Identity management for agentic ai: The new frontier of authorization, authentication, and security for an ai agent world.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Identity management for agentic ai: The new frontier of authorization, authentication, and security for an ai agent world
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T10:53:13.243264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e8b140a9-298b-4abe-a73e-dc5296794c8f · outbound
This paper cites Efficientnet: Rethinking model scaling for convolutional neural networks.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Efficientnet: Rethinking model scaling for convolutional neural networks
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.996172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f0fe91fc-fcda-47df-bf98-592e4e3df66d · outbound
This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Gomez, Łukasz Kaiser, and Illia Polosukhin
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.997877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 32838991-109c-426d-84ec-da7fc512562b · outbound
This paper cites Cosface: Large margin cosine loss for deep face recognition.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Cosface: Large margin cosine loss for deep face recognition
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.992460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c599c50c-c823-43cd-9331-223d35890b31 · outbound
This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning InstantID: Zero-shot Identity-Preserving Generation in Seconds
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T10:53:13.245974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 60ce8f13-a550-45b9-a7da-2fd17caf8b77 · outbound
This paper cites Iarpa janus benchmark- b face dataset.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Iarpa janus benchmark- b face dataset
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.994233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eddbb150-f399-4fe2-9030-556feecce6d7 · outbound
This paper cites Vec2Face+ for Face Dataset Generation.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Vec2Face+ for Face Dataset Generation
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T10:53:13.234458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fbdc5f74-f72f-4342-b325-962279af9afc · outbound
This paper cites Vec2face: Scaling face dataset generation with loosely constrained vectors.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Vec2face: Scaling face dataset generation with loosely constrained vectors
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.999753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c4f6f3ff-6a1e-493e-88b8-7b39222ae794 · outbound
This paper cites Identity- driven multimedia forgery detection via reference assistance.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Identity- driven multimedia forgery detection via reference assistance
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.988645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d29633c8-e721-4caa-93f0-69ba49ad833a · outbound
This paper cites Ucf: Uncovering common features for generalizable deepfake detection.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Ucf: Uncovering common features for generalizable deepfake detection
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.990461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5e74fa2f-eb73-46ad-81d0-3ee673694812 · outbound
This paper cites Learning Face Representation from Scratch.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning Learning Face Representation from Scratch
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T10:53:13.240300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d6271eb4-23df-43cb-8f61-51c3a7a6d19b · outbound
This paper cites The unreason- able effectiveness of deep features as a perceptual metric.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning The unreason- able effectiveness of deep features as a perceptual metric
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.982451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4204f89d-130a-46da-93b3-69034f4cfe3c · outbound
This paper cites WebFace260M: A benchmark unveiling the power of million-scale deep face recognition.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning WebFace260M: A benchmark unveiling the power of million-scale deep face recognition
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.984672Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3a197afd-0795-4a62-af75-05ab13ce1c2d · outbound
This paper cites candid color portrait photo of a person, natural lighting.
Non-Colliding Biometric Identities for Digital Entities: Geometry, Capacity, and Million-Scale Virtual Identity Provisioning candid color portrait photo of a person, natural lighting
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T10:53:13.986644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.