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Paper Citation Record · LEDGER

CLIP Unreasonable Potential in Single-Shot Face Recognition

As of 17 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2411.12319.

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

pith.paper-citation-record.v1
2411.12319 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:44:06.224838Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 18ca80a3-05db-46be-bdd5-feca49a456b0 · outbound

This paper cites A Survey of Face Recognition.

CLIP Unreasonable Potential in Single-Shot Face Recognition A Survey of Face Recognition

Reference 1

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source=pdf_text observed=2026-08-12T17:44:06.129705Z digest=sha256:86e9acce1aed9d861f55f8f0c151cb03c5d09d557a4ac761ecb4396c8b2ab0ba

Observation edb1571c-39f2-4437-81fb-d5154db10a9c · outbound

This paper cites Face recognition systems: A survey,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Face recognition systems: A survey,

Reference 2

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Observation 83c4a977-8239-4927-9d7c-e3607ad4014b · outbound

This paper cites Deep face recognition: A survey,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Deep face recognition: A survey,

Reference 3

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Observation 17f03ec0-b219-4330-b0ed-1a935ff00ea4 · outbound

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

CLIP Unreasonable Potential in Single-Shot Face Recognition Learning transferable visual models from natural language supervision,

Reference 4

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source=pdf_text observed=2026-08-12T17:44:06.139388Z digest=sha256:8aa2fdb2e22843fa524452ad7c09f8b2560954ee07429134acfb9ddd24123030

Observation bcb94c6d-3223-40f2-8ac0-708a471e02b9 · outbound

This paper cites Face recognition using eigenfaces,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Face recognition using eigenfaces,

Reference 5

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T17:44:06.141937Z digest=sha256:c7171f9062d7ed76c8aa3714f1ce1c11692a86640ed8d41a18392ecd6ff2827f

Observation 4fae3807-e208-4e4a-9c96-7316e503731a · outbound

This paper cites Face description with local binary patterns: Application to face recognition,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Face description with local binary patterns: Application to face recognition,

Reference 6

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source=pdf_text observed=2026-08-12T17:44:06.144883Z digest=sha256:6ee5dc5ff39e4110dd809fe2eee4de8023115e8ad0dba904badd264e67405d4c

Observation b53d15af-d52e-4a70-b62e-9e4a99baa49e · outbound

This paper cites Eigenfaces vs. fisherfaces: Recognition using class specific linear projection,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Eigenfaces vs. fisherfaces: Recognition using class specific linear projection,

Reference 7

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source=pdf_text observed=2026-08-12T17:44:06.147839Z digest=sha256:045ef42a6104c22855ee8dea44021caa80a6fe7664c62f5df41c128cefd9956b

Observation 8022dff1-2c8d-4dae-be14-c5ed181ad3e3 · outbound

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

CLIP Unreasonable Potential in Single-Shot Face Recognition Deepface: Closing the gap to human-level performance in face verification,

Reference 8

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source=pdf_text observed=2026-08-12T17:44:06.150310Z digest=sha256:88dfafb74507393800220f13a9335b45899b3662f2f72093f81dfdcb5651efef

Observation a83292db-b9af-413e-8bab-36672e79889e · outbound

This paper cites Facenet: A unified embed- ding for face recognition and clustering,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Facenet: A unified embed- ding for face recognition and clustering,

Reference 9

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source=pdf_text observed=2026-08-12T17:44:06.152693Z digest=sha256:8b4451b2dad030f4b6bd7364effa0d7502a38249208d5c2ed3b65ab359610be8

Observation 7888b342-8bf8-4106-8ea7-2167f6a7e435 · outbound

This paper cites Deep face recognition,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Deep face recognition,

Reference 10

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source=pdf_text observed=2026-08-12T17:44:06.155248Z digest=sha256:d2c9b6fdb130d6aa455a507634d5bcb4472705ec1dd9e5e1845a3bfae4d9a400

Observation 63f88e20-8ec8-46aa-b76c-aceb8bf5acb9 · outbound

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

CLIP Unreasonable Potential in Single-Shot Face Recognition Cosface: Large margin cosine loss for deep face recognition,

Reference 11

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source=pdf_text observed=2026-08-12T17:44:06.160174Z digest=sha256:f1c1937d7fbfa132f4db8e8eaf8f2994bb0211353dc8215c0e843decf77773de

Observation 2a2c89a0-5ebb-431c-bae5-7daaaf17640c · outbound

This paper cites Zegclip: Towards adapting clip for zero-shot semantic segmentation,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Zegclip: Towards adapting clip for zero-shot semantic segmentation,

Reference 12

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source=pdf_text observed=2026-08-12T17:44:06.162494Z digest=sha256:484446e2e7455dfc21b6ce3d0b98dc42e718abbc003990234c746f31128f9c69

Observation 9a224be9-f478-49c5-8dae-e8d51b7a21a3 · outbound

This paper cites Clipn for zero-shot ood detection: Teaching clip to say no,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Clipn for zero-shot ood detection: Teaching clip to say no,

Reference 13

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source=pdf_text observed=2026-08-12T17:44:06.165310Z digest=sha256:88e9611760ecb0f62c66e08009c712c9fb2ac39f19a14d9cafd7d931109980a6

Observation 5ba46f3b-7e42-4cb5-8ad6-afc245807c24 · outbound

This paper cites Clip-forge: Towards zero-shot text-to-shape generation,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Clip-forge: Towards zero-shot text-to-shape generation,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T17:44:06.167967Z digest=sha256:c679fe1c6334af13dc8450a6926be2d51dba94ffd15cf331fc06302a40ad7fea

Observation a54164cb-6164-45c8-8a9c-e63736e59f14 · outbound

This paper cites Clip the gap: A single domain generalization approach for object detection,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Clip the gap: A single domain generalization approach for object detection,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T17:44:06.170319Z digest=sha256:d07515bbe5ffeff148c500b8486e9a5afd629438e8c3c8e7782c149cbf701fab

Observation 3ee76579-9b65-4186-95b2-f35c89f626f4 · outbound

This paper cites Open-vocabulary Object Detection via Vision and Language Knowledge Distillation.

CLIP Unreasonable Potential in Single-Shot Face Recognition Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Reference 16

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source=pdf_text observed=2026-08-12T17:44:06.172813Z digest=sha256:73568a7bc22f429f1095e640c395ab4c671a51988b53f8779715e24d2544f1bd

Observation a215aa04-7fae-4978-b888-6a3cdfaa9af1 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

CLIP Unreasonable Potential in Single-Shot Face Recognition Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 17

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source=pdf_text observed=2026-08-12T17:44:06.175714Z digest=sha256:a404b391e5dd2ee7f7df37865473a55be04e55cae052ffaca00088f8e9e2555b

Observation 64efc295-4eda-4c15-ad78-9a7903f94dcb · outbound

This paper cites Styleclip: Text-driven manipulation of stylegan imagery,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Styleclip: Text-driven manipulation of stylegan imagery,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T17:44:06.177964Z digest=sha256:87cc81642416a251fda6d62c5a29711dbba69d84a3815a45dbb71d9ff7e67569

Observation 3c5c753c-d81d-412b-ad5d-4a75b92e310f · outbound

This paper cites Learning to prompt for vision- language models,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Learning to prompt for vision- language models,

Reference 19

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source=pdf_text observed=2026-08-12T17:44:06.180185Z digest=sha256:ecd9854eb8c1100e43ec6e36e99f8a72b341673b2f96b4c1fb536da05c347705

Observation dc45af1f-8146-4084-99fb-7fce9ab5ef73 · outbound

This paper cites Galip: Generative adversarial clips for text-to-image synthesis,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Galip: Generative adversarial clips for text-to-image synthesis,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T17:44:06.182066Z digest=sha256:41f8d3bbec3bfabe26e0450985b162dd36f0f9d028b9fd8420d2a5e5da84c3ab

Observation c312f0ed-0886-4efd-bc38-b84dafb08972 · outbound

This paper cites CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP.

CLIP Unreasonable Potential in Single-Shot Face Recognition CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP

Reference 21

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source=pdf_text observed=2026-08-12T17:44:06.184255Z digest=sha256:3570ddc9808bc74631d08c5be7c7d285015677f04e70d5f3707e9f1acac8f022

Observation afd3996d-c338-48ea-b6f1-f0830458cb58 · outbound

This paper cites The unreasonable effectiveness of clip features for image captioning: an experimental analysis,.

CLIP Unreasonable Potential in Single-Shot Face Recognition The unreasonable effectiveness of clip features for image captioning: an experimental analysis,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T17:44:06.186497Z digest=sha256:bdce056d86bddc7e8a4899f7bc5439a0b6525441c4d6ae12ec8bef312ebff99a

Observation 41b69f19-16e1-49f5-9bfe-202ecf4c0653 · outbound

This paper cites ClipCap: CLIP Prefix for Image Captioning.

CLIP Unreasonable Potential in Single-Shot Face Recognition ClipCap: CLIP Prefix for Image Captioning

Reference 23

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source=pdf_text observed=2026-08-12T17:44:06.188864Z digest=sha256:d3e0b64f44f4a74eebdb6b84487c8c75109f90a52311215da8b194e3c0ce5f14

Observation 79df6348-2b03-4df8-a6e1-f6faa0a52075 · outbound

This paper cites Blind image quality assessment with multimodal prompt learning,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Blind image quality assessment with multimodal prompt learning,

Reference 24

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T17:44:06.191885Z digest=sha256:e30741131efb7f77a6e1794a6a48bafedc4c19f53486350901a6ddf8c10fc361

Observation 95e92b18-022e-4519-96d5-4a63c3515b11 · outbound

This paper cites Maple: Multi-modal prompt learning,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Maple: Multi-modal prompt learning,

Reference 25

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source=pdf_text observed=2026-08-12T17:44:06.194564Z digest=sha256:848f4f97d936cbbac43f1d7e280885ec6218d4aaef9fd5827946716e51bcdb5d

Observation 791e77bd-4034-4cd0-a859-1ebdf77d678d · outbound

This paper cites Conditional prompt learning for vision-language models,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Conditional prompt learning for vision-language models,

Reference 26

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source=pdf_text observed=2026-08-12T17:44:06.197154Z digest=sha256:bab1bd0d714b8acb468ef2fd87084a06c4eb117186bc350e27f125821054b23b

Observation 00c01057-765d-4b77-a25b-0f7560e77fb8 · outbound

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

CLIP Unreasonable Potential in Single-Shot Face Recognition Face Recognition in the age of CLIP & Billion image datasets

Reference 27

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source=pdf_text observed=2026-08-12T17:44:06.200143Z digest=sha256:f424b2be9f12f511f576c00f9e36883edc4cac8d84ed0cb2aa843e26c79600e7

Observation dd13a452-b02e-4d61-8f8d-f7fcca660c17 · outbound

This paper cites Clip-cluster: Clip-guided attribute hallucination for face clustering,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Clip-cluster: Clip-guided attribute hallucination for face clustering,

Reference 28

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source=pdf_text observed=2026-08-12T17:44:06.203013Z digest=sha256:a790be638a150bb23f1c02e0fab55addcb931946d51407601d7e52988eb831a1

Observation 857771fb-817f-46a8-859e-f3343771871f · outbound

This paper cites Sample and Computation Redistribution for Efficient Face Detection.

CLIP Unreasonable Potential in Single-Shot Face Recognition Sample and Computation Redistribution for Efficient Face Detection

Reference 29

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source=pdf_text observed=2026-08-12T17:44:06.205754Z digest=sha256:945c4e0106d19eb33675a29e738c5c8d61cca8f9923422eb5d1d171f31feeaa7

Observation 30bb3950-fb7f-4254-8aff-806795216de5 · outbound

This paper cites Exploring clip for assessing the look and feel of images,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Exploring clip for assessing the look and feel of images,

Reference 30

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source=pdf_text observed=2026-08-12T17:44:06.208750Z digest=sha256:2a7ebe9e96e219d958538f1984ffe0148deec8623fb9ed574b342694aa5748f6

Observation 5098fd2e-f8d9-495c-857e-9a95811eea0c · outbound

This paper cites Blind image quality assessment via vision-language correspondence: A multitask learning perspective,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Blind image quality assessment via vision-language correspondence: A multitask learning perspective,

Reference 31

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raw_fallback, observed 2026-08-12T17:44:06.320638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T17:44:06.211132Z digest=sha256:66746ade68517ea46e9facfb44ab331d7cf0e2fe07f2b1f1069d437ef7661f8e

Observation 00857040-5d57-4bd4-945c-78627e81a2e4 · outbound

This paper cites Decoupled Weight Decay Regularization.

CLIP Unreasonable Potential in Single-Shot Face Recognition Decoupled Weight Decay Regularization

Reference 32

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source=pdf_text observed=2026-08-12T17:44:06.214003Z digest=sha256:a5e37da48e7cface4bf0b7b47e683d7b5dba983f0e4da292bf7f47ab96569039

Observation f73fa62b-40dc-44b3-bf24-27074be162df · outbound

This paper cites Stochastic gradient descent with warm restarts,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Stochastic gradient descent with warm restarts,

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-12T17:44:06.217121Z digest=sha256:1f2331ec9787a62a46eb7c1639f220d8a93cfb51fca8b585404f84eb7541eae0

Observation cfc6c742-1b89-4183-96bf-3950912e298c · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

CLIP Unreasonable Potential in Single-Shot Face Recognition Pytorch: An imperative style, high-performance deep learning library,

Reference 34

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source=pdf_text observed=2026-08-12T17:44:06.219658Z digest=sha256:00bdc1fe675fd7d0b843cea0a256192a94753c23c4c7c98b2f8ef92afe46b879

Observation dce5d862-f98a-4c7c-a5b1-19a4fcfef30c · outbound

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

CLIP Unreasonable Potential in Single-Shot Face Recognition Arcface: Additive angular margin loss for deep face recognition,

Reference 35

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source=pdf_text observed=2026-08-12T17:44:06.222292Z digest=sha256:3045f416f30f8c45901c467338287e6f35beca1510772571c8489c240528e3b8

Observation c059f80c-554a-459d-9b6f-28b7f6769921 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

CLIP Unreasonable Potential in Single-Shot Face Recognition Adam: A Method for Stochastic Optimization

Reference 36

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source=pdf_text observed=2026-08-12T17:44:06.224838Z digest=sha256:e197d95a0a2ed599d3c2cb179ce288c74d984a66520c96a9a382eef3ade67507

Observation cbaa157e-9c5f-4da2-a5ca-08ef06c71705 · outbound

This paper cites an unresolved cited work.

CLIP Unreasonable Potential in Single-Shot Face Recognition Unresolved cited work

Reference 2015

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Pith citing papers

No inbound Pith citation observations are available.