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Paper Citation Record · LEDGER

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition

As of 12 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2501.13420.

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

pith.paper-citation-record.v1
2501.13420 v3

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:13:30.664809Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

  • verified exact3
  • verified fuzzy36
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02ce0517-a996-4876-a464-57e95743a367 · outbound

This paper cites Partial fc: Training 10 million identities on a single machine.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Partial fc: Training 10 million identities on a single machine

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3375622f-27c7-433e-84a5-e63e6d50a81b · outbound

This paper cites Killing two birds with one stone: Efficient and robust training of face recognition cnns by partial fc.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Killing two birds with one stone: Efficient and robust training of face recognition cnns by partial fc

Reference 2

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raw_fallback, observed 2026-08-10T16:13:33.739039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b8fab318-e16d-4ef0-bdaa-031adacc1241 · outbound

This paper cites Adaptive Input Representations for Neural Language Modeling.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Adaptive Input Representations for Neural Language Modeling

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 38b0266d-637d-4eaf-95a9-4530f6151e69 · outbound

This paper cites Vggface2: A dataset for recognising faces across pose and age.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Vggface2: A dataset for recognising faces across pose and age

Reference 4

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raw_fallback, observed 2026-08-10T16:13:33.618750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:29.771323Z digest=sha256:870966ceed0af43e0e991ae2d190c7921b9390341700aeb77f510d2646f46d36

Observation ac1c8fc2-f0b6-447d-ae54-19de8c07f9ea · outbound

This paper cites End-to- end object detection with transformers, 2020.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition End-to- end object detection with transformers, 2020

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:29.777028Z digest=sha256:0f0062eaba464ab5fca28ee73d75fdd558ffd70ae5a22ca25db4b6591a467381

Observation d385ebff-c65a-4885-a403-d912bf58fd9d · outbound

This paper cites Transface: Calibrating trans- former training for face recognition from a data-centric per- spective, 2023.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Transface: Calibrating trans- former training for face recognition from a data-centric per- spective, 2023

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 04c6a1e4-ef90-451c-b57e-2d85bf0a1381 · outbound

This paper cites Topofr: A closer look at topology alignment on face recognition.arXiv preprint arXiv:2410.10587, 2024.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Topofr: A closer look at topology alignment on face recognition.arXiv preprint arXiv:2410.10587, 2024

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c79d2274-953f-483a-8270-6ccabc081fe9 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Arcface: Additive angular margin loss for deep face recognition

Reference 8

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raw_fallback, observed 2026-08-10T16:13:33.536933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:29.806762Z digest=sha256:c50b9d004928f920da46b77ab47df8060a2482c0a6f40d3abae6a200b91b6d56

Observation 326d0b71-2047-4d68-afca-c9db79b45d1a · outbound

This paper cites Retinaface: Single-shot multi- level face localisation in the wild.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Retinaface: Single-shot multi- level face localisation in the wild

Reference 9

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raw_fallback, observed 2026-08-10T16:13:33.517133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5df693c5-51ce-4399-b551-342f09678c18 · outbound

This paper cites Masked face recognition challenge: The insight- face track report.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Masked face recognition challenge: The insight- face track report

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:29.883401Z digest=sha256:b2d917e6a8480b48de25be17be3465fc91e8540e73ee3b62dd788b26a3e695c1

Observation bfab561f-23cf-48cf-b7b2-d897ed88aad7 · outbound

This paper cites Variational prototype learning for deep face recognition.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Variational prototype learning for deep face recognition

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 49176b84-7e5a-4983-81b4-c2ed13bdad40 · outbound

This paper cites Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set

Reference 12

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raw_fallback, observed 2026-08-10T16:13:33.143120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.072574Z digest=sha256:83c3928f699f2a8444507fe95404af3be50830e52253deab6ec996204441188e

Observation 20af5a7e-e13c-41bd-b1b5-37e709667dd5 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition An image is worth 16x16 words: Transformers for image recognition at scale, 2021

Reference 13

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raw_fallback, observed 2026-08-10T16:13:32.992076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4105da7d-e5d5-4cea-9857-df895e5082e5 · outbound

This paper cites Uniformface: Learn- ing deep equidistributed representation for face recognition.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Uniformface: Learn- ing deep equidistributed representation for face recognition

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.155943Z digest=sha256:ebcd37e04b765cdc24f6d953b53dacd64fcb5f1d74821ccff8ff5eaf262f8ee4

Observation 7286548c-3223-4b73-aad3-4d10d966d3fe · outbound

This paper cites EPL: Empirical Prototype Learning for Deep Face Recognition.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition EPL: Empirical Prototype Learning for Deep Face Recognition

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:13:30.170014Z digest=sha256:d467a765edda8f8cb43cfb0d692770c22cd66c0bdd9fd4084d3eeff735159a44

Observation 49de9fe6-2766-4a6d-9ba0-3082710b790d · outbound

This paper cites Curricularface: adaptive curriculum learning loss for deep face recognition.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Curricularface: adaptive curriculum learning loss for deep face recognition

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation bb1bd0a4-e0a5-4337-814d-5d16591b8769 · outbound

This paper cites Unitsface: Unified threshold integrated sample-to-sample loss for face recognition.Advances in Neural Information Processing Systems, 36:32732–32747, 2023.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Unitsface: Unified threshold integrated sample-to-sample loss for face recognition.Advances in Neural Information Processing Systems, 36:32732–32747, 2023

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 325e5fea-5b7e-43de-8dc0-8e6209f74e20 · outbound

This paper cites Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei

Reference 18

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source=pdf_text observed=2026-08-10T16:13:30.211601Z digest=sha256:766fc9e2a1fb7341dc8e7d7b3fb41f4cae2e4f3fc1ededcadbd890eed0154d14

Observation 995744e8-2866-4823-a46b-699e27c6db06 · outbound

This paper cites Adaface: Quality adaptive margin for face recognition.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Adaface: Quality adaptive margin for face recognition

Reference 19

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raw_fallback, observed 2026-08-10T16:13:32.452118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.216117Z digest=sha256:ccb262b38c5f2d7d2f72759c93149102446682de965e822d6b098601d79d1277

Observation 51d0f18a-9d51-48af-8323-2aeb8190291e · outbound

This paper cites Segment any- thing.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Segment any- thing

Reference 20

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source=pdf_text observed=2026-08-10T16:13:30.221312Z digest=sha256:e841883fb906d48f0f49f037f5f7d092c88a5c8dc583119f10e0eeaa37e235a3

Observation 2c15d109-80ea-42a4-b9de-d5e6fc0c3c9c · outbound

This paper cites Fitme: Deep photorealistic 3d morphable model avatars.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Fitme: Deep photorealistic 3d morphable model avatars

Reference 21

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raw_fallback, observed 2026-08-10T16:13:32.313542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 05fb751d-d21d-41c1-b9aa-68d11de5270f · outbound

This paper cites Uv-idm: identity-conditioned latent diffu- sion model for face uv-texture generation.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Uv-idm: identity-conditioned latent diffu- sion model for face uv-texture generation

Reference 22

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raw_fallback, observed 2026-08-10T16:13:32.223829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 47be4e97-e07f-475a-812a-0d98b658f84d · outbound

This paper cites Cfpl- fas: Class free prompt learning for generalizable face anti- spoofing.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Cfpl- fas: Class free prompt learning for generalizable face anti- spoofing

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:13:30.235903Z digest=sha256:749218f46c2e333cb809bdd15048af0bec17cc2e7c06945ae326897ab246f617

Observation cea8cd7f-ba77-4f82-9d82-23cbe4834685 · outbound

This paper cites Sphereface: Deep hypersphere embedding for face recognition.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Sphereface: Deep hypersphere embedding for face recognition

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:13:30.241844Z digest=sha256:8c48c04cb2759926a22a6db0eed300a404fcf0b7933eb7106c91939cbdf28945

Observation d2c8e210-35aa-4c40-b200-c4de98c11e37 · outbound

This paper cites Deep tree learning for zero-shot face anti-spoofing.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Deep tree learning for zero-shot face anti-spoofing

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-10T16:13:32.084781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ecb30e1f-1047-493a-8588-1734d8288d7f · outbound

This paper cites Decoupled Weight Decay Regularization.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Decoupled Weight Decay Regularization

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:13:30.251491Z digest=sha256:171a359c34dc443097d650b4dccc99ba632cadb1191475744e223c2368e09688

Observation a7883daf-66ad-482a-bf6c-596008c7760e · outbound

This paper cites Iarpa janus benchmark-c: Face dataset and protocol.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Iarpa janus benchmark-c: Face dataset and protocol

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.979950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f1af4fc8-f3f1-42aa-b88d-633695365b7c · outbound

This paper cites Magface: A universal representation for face recognition and quality assessment.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Magface: A universal representation for face recognition and quality assessment

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.893367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.261475Z digest=sha256:f06e7f2bed1abe61f11dae20d6bdc32d8833d858eef48e36c80eb66606f24adc

Observation 004b2568-cb23-4842-b843-7a5001ed56d9 · outbound

This paper cites Facenet: A unified embedding for face recognition and clus- tering.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Facenet: A unified embedding for face recognition and clus- tering

Reference 29

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raw_fallback, observed 2026-08-10T16:13:31.870635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.265818Z digest=sha256:3cd849a64ae77638ef775dc5aef019e28fb468b07c78991dd6cc38989c144724

Observation 428ba1d6-7d74-4e15-813d-09d20e40b8cd · outbound

This paper cites First order motion model for image animation.Advances in neural information processing systems, 32, 2019.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition First order motion model for image animation.Advances in neural information processing systems, 32, 2019

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:13:30.270109Z digest=sha256:fdb7f221429d22b5267c95f63c4d584c2f3b0886eebca1ed7ff14f5347b89b40

Observation 0741dceb-b5d3-4ec1-8bf7-5c974756386c · outbound

This paper cites Improved deep metric learning with multi- class n-pair loss objective.Advances in neural information processing systems, 29, 2016.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Improved deep metric learning with multi- class n-pair loss objective.Advances in neural information processing systems, 29, 2016

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:13:30.274163Z digest=sha256:9fa8261fe7967c390ec7d4c692c17b97e870345c69160e309812fd8949a0018a

Observation 9feb5999-97f0-48cd-972f-3a399824bb9f · outbound

This paper cites Part-based Face Recognition with Vision Transformers.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Part-based Face Recognition with Vision Transformers

Reference 32

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verified exact
local_arxiv, observed 2026-08-10T16:13:30.811639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.278530Z digest=sha256:6ff837ee99de422767d7986c7217f7ba173933b6105cfd414f5b3fc512688608

Observation b4634310-7f1d-4fb2-8949-795be29446b2 · outbound

This paper cites Deepface: Closing the gap to human-level perfor- mance in face verification.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Deepface: Closing the gap to human-level perfor- mance in face verification

Reference 33

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raw_fallback, observed 2026-08-10T16:13:31.686729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.284313Z digest=sha256:d5a2871871b55382c43876db34d215bdb176bca61cc4de84e3fbe617958894ce

Observation ece4a8b1-2e8c-45fa-b937-037d408b4586 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 34

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T16:13:30.290087Z digest=sha256:3e42e2b30dc8ea3982418680c811abaa62a120abcd84848fa19f98c8a79ee145

Observation ee3cc5de-268d-47ea-ae48-3b82afa5d9ff · outbound

This paper cites Ad- ditive margin softmax for face verification.IEEE Signal Pro- cessing Letters, 25(7):926–930, 2018.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Ad- ditive margin softmax for face verification.IEEE Signal Pro- cessing Letters, 25(7):926–930, 2018

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.633309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.294881Z digest=sha256:ab46e1e7ec267a22737bdd9ae7dc0af8ccbaf669b4813195a65e9cbba3f86d1d

Observation 67ed3d42-fb8b-4f8a-9706-493dfffa219e · outbound

This paper cites Cosface: Large margin cosine loss for deep face recognition.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Cosface: Large margin cosine loss for deep face recognition

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.614462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.299619Z digest=sha256:b9b20cecafc2f078784c9ca3ee1c84400feac39b079282cb2a675070ec07b22d

Observation 5af86e56-afa8-498e-a47e-2c663900d7ce · outbound

This paper cites A discriminative feature learning approach for deep face recog- nition.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition A discriminative feature learning approach for deep face recog- nition

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.597102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.304178Z digest=sha256:9aef70fedceda7464fb8748d332ad8b298af627dbf7107bd8730ad8d08f5509b

Observation d63d947a-12c5-4d95-8588-3d6f195c96be · outbound

This paper cites SphereFace2: Binary Classification is All You Need for Deep Face Recognition.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition SphereFace2: Binary Classification is All You Need for Deep Face Recognition

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-10T16:13:30.746721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.308732Z digest=sha256:f02abfacde78589e1270d6d253c7d2c912dc0b8a8f9a4bb316844b03bd0550e7

Observation 548f0daf-c684-4058-9e50-bce8393d5a23 · outbound

This paper cites Jain, James A.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Jain, James A

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.511635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.315476Z digest=sha256:04024965ba0e4d528510614298eb840484e28903240f2b8a56a73c194f449cb6

Observation 0119e91c-25bd-43c9-bc31-7eda033c52e2 · outbound

This paper cites Fnevr: Neu- ral volume rendering for face animation.Advances in Neural Information Processing Systems, 35:22451–22462, 2022.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Fnevr: Neu- ral volume rendering for face animation.Advances in Neural Information Processing Systems, 35:22451–22462, 2022

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.417896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.351468Z digest=sha256:3dbf7b75ae4993744f91456addbee001423e547e7340c1d98cd9a8ceba3307d4

Observation f4020b0f-14e4-4678-aac9-9894debf197a · outbound

This paper cites Face animation with an attribute-guided diffusion model.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Face animation with an attribute-guided diffusion model

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.401692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.409374Z digest=sha256:03d7fc30dab827b06a092dbfff53076359e3a55a701bd6ff03ba0dbba7ce2c68

Observation bf6308de-bc81-47a8-b8ff-28f83f64e3ee · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T16:13:30.468934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:13:30.468934Z digest=sha256:24afc9cd5467e358924338221c2f6f19e8808ad481d7e3b7ddb9e61bbb5c3323

Observation 91b79040-b7e8-4e07-a86f-701c95d554a2 · outbound

This paper cites Adacos: Adaptively scaling cosine logits for effec- tively learning deep face representations.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Adacos: Adaptively scaling cosine logits for effec- tively learning deep face representations

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.385288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.571340Z digest=sha256:244a5a2282eff0dfd89296de0d3b3cd29d99d4c717a29f3df50e61389738bb73

Observation 1aaa94d8-bf7c-4d4e-a889-914e06acea2d · outbound

This paper cites P2sgrad: Refined gra- dients for optimizing deep face models.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition P2sgrad: Refined gra- dients for optimizing deep face models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.367744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.629799Z digest=sha256:573b672da6503b67f33339e02920523140e02521adaf3f421f332b9f499d9cbd

Observation dd5d2dc5-5c0b-4f5f-afe8-e0b7a9cebb87 · outbound

This paper cites Regularface: Deep face recognition via exclusive regularization.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Regularface: Deep face recognition via exclusive regularization

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.349456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.635270Z digest=sha256:e602b7fc3d37663cbc4a210bcc2d52e65b78f21f8c6397890b5af55166490839

Observation 648f38e6-2065-46f9-999e-5fc822b25caf · outbound

This paper cites Cross-architecture distillation for face recog- nition.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Cross-architecture distillation for face recog- nition

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.327682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.641856Z digest=sha256:a56dde3159dcc20dbf42a1ecdcf0b8cb5548ae4b94a71ea55b5aded17fe718d4

Observation bd7ccb16-1e96-43c9-848c-264d10027c9b · outbound

This paper cites Face transformer for recognition, 2021.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Face transformer for recognition, 2021

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.308376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.647417Z digest=sha256:c7161d447c06615ef1a2164fc2f155b1f3dae067a5a17646e72d8382474a670c

Observation c2969b31-8420-4142-8b6b-315694caa930 · outbound

This paper cites Uniface: Unified cross-entropy loss for deep face recognition.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Uniface: Unified cross-entropy loss for deep face recognition

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.280449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.653660Z digest=sha256:1a3097e80a87620bd4552f37c0c7196fb1bf1e6ed477660058fbf39ca9416db5

Observation 0538ed64-ca0e-4a51-b8c8-597b325fbd26 · outbound

This paper cites Corso, Richard Socher, and Caiming Xiong.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Corso, Richard Socher, and Caiming Xiong

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.255231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.658834Z digest=sha256:ef6a5bbaf7f3170c6d5776a1042b7da188ff8eb644f07e3de020bf0cee0f6cbf

Observation 9a684372-2966-4e2f-b79e-da49e9426993 · outbound

This paper cites Webface260m: A benchmark for million- scale deep face recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):2627–2644, 2022.

LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition Webface260m: A benchmark for million- scale deep face recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):2627–2644, 2022

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:13:31.166208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T16:13:30.664809Z digest=sha256:7cc91eeb4eb569fc6eb124eb1e61681cfb6175d3db9e91a853511683792e3013

Pith citing papers

No inbound Pith citation observations are available.