Paper Citation Record · LEDGER

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder

As of 20 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 3 inbound Pith citation observations for arXiv:2507.10552.

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

pith.paper-citation-record.v1
2507.10552 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:34:17.696520Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:34:17.591479Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:34:17.722518Z

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation 6999bf4c-548d-4c64-ba69-9231bf4f8432 · outbound

This paper cites Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder

Reference 1

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Observation caa51235-7fb0-4fd8-b91b-dd01617a2f2e · outbound

This paper cites Freytag et al.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Freytag et al

Reference 2

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Observation 35ff44bd-5b98-4355-b125-f5b602408812 · outbound

This paper cites The approach is outlined in Figure 1.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder The approach is outlined in Figure 1

Reference 3

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This paper cites an unresolved cited work.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Unresolved cited work

Reference 4

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Observation d48f662a-fa37-46e1-92e9-ab8566701b76 · outbound

This paper cites We mine two balanced corpora with the Data Engine in §3.2: PanAf-20K and Loma Mountains each contribute ∼314k high-quality face crops.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder We mine two balanced corpora with the Data Engine in §3.2: PanAf-20K and Loma Mountains each contribute ∼314k high-quality face crops

Reference 5

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Observation f75cf552-3fe9-443b-a8a5-db326777d44a · outbound

This paper cites an unresolved cited work.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Unresolved cited work

Reference 6

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Observation 20354256-0f8b-4478-918c-b28957037b9c · outbound

This paper cites Metadata accompanying each camera-trap sequence, e.g.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Metadata accompanying each camera-trap sequence, e.g

Reference 7

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Observation 73e08373-69a0-4b55-b5d5-8a78cc80529a · outbound

This paper cites Camera traps unveil demog- raphy, social structure, and home range of six unhabituated western chimpanzee groups in the moyen bafing national park, guinea,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Camera traps unveil demog- raphy, social structure, and home range of six unhabituated western chimpanzee groups in the moyen bafing national park, guinea,

Reference 8

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Observation 9267f769-dbf7-4b22-b4e2-304cf3e78e6a · outbound

This paper cites Automatic identi- fication of individual primates with deep learning techniques,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Automatic identi- fication of individual primates with deep learning techniques,

Reference 9

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Observation 1baaeefe-2db0-4eaf-ac4f-d13d5319f7a2 · outbound

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

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder CosFace: Large margin cosine loss for deep face recognition,

Reference 10

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

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder ArcFace: Additive angular margin loss for deep face recognition,

Reference 11

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Observation f6fe8510-8892-4b7c-a1a6-341a9a1b2db3 · outbound

This paper cites MS-Celeb-1M: A dataset and benchmark for large-scale face recognition,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder MS-Celeb-1M: A dataset and benchmark for large-scale face recognition,

Reference 12

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Observation 523a36b4-532f-43f3-acd8-1458581be00d · outbound

This paper cites Chimpanzee faces in the wild: Log-euclidean CNNs for predicting identities and attributes of primates,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Chimpanzee faces in the wild: Log-euclidean CNNs for predicting identities and attributes of primates,

Reference 13

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Observation 545790a4-0033-41ce-8d1a-368bc81289c2 · outbound

This paper cites Face recognition ven- dor test 2002 performance metrics,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Face recognition ven- dor test 2002 performance metrics,

Reference 14

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Observation 3c10b80f-e1a9-4c65-93bf-a16e4408b715 · outbound

This paper cites Toward open set recognition,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Toward open set recognition,

Reference 15

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Observation 6aaee8f3-3492-407a-b661-4e2c4d1ce7a9 · outbound

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

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Emerging properties in self- supervised vision transformers,

Reference 16

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Observation ac0c4f85-f8a7-4d47-abd6-02d15d2c6854 · outbound

This paper cites DINOv2: Learning robust visual features without su- pervision,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder DINOv2: Learning robust visual features without su- pervision,

Reference 17

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This paper cites An automated chimpanzee identifica- tion system using face detection and recognition,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder An automated chimpanzee identifica- tion system using face detection and recognition,

Reference 18

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This paper cites Face recognition: Primates in the wild,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Face recognition: Primates in the wild,

Reference 19

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Observation f917321f-876a-4662-b56f-dcf841f20777 · outbound

This paper cites Chimpanzee face recog- nition from videos in the wild using deep learning,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Chimpanzee face recog- nition from videos in the wild using deep learning,

Reference 20

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This paper cites Deep residual learning for image recognition,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Deep residual learning for image recognition,

Reference 21

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This paper cites Petface: A large-scale dataset and benchmark for animal identification,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Petface: A large-scale dataset and benchmark for animal identification,

Reference 22

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 23

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This paper cites Wildlife- datasets: An open-source toolkit for animal re-identification,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Wildlife- datasets: An open-source toolkit for animal re-identification,

Reference 24

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This paper cites Otarashvili, “Miewid,” 2023.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Otarashvili, “Miewid,” 2023

Reference 25

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This paper cites Gorillavision – open-set re- identification of wild gorillas,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Gorillavision – open-set re- identification of wild gorillas,

Reference 26

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Observation bf5cc95a-97ab-40ac-93f4-03f1bf7aca42 · outbound

This paper cites The FAISS library,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder The FAISS library,

Reference 27

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Observation 90d51948-9590-4c9b-a66c-b47f6a48afe8 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder A simple framework for contrastive learning of visual representations,

Reference 28

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This paper cites An empirical study of training self-supervised vision transformers,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder An empirical study of training self-supervised vision transformers,

Reference 29

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Observation c705e98d-3d4b-423d-9187-365f13b07a26 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Masked autoencoders are scalable vision learners,

Reference 30

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This paper cites iBOT: Image BERT pre-training with online tok- enizer,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder iBOT: Image BERT pre-training with online tok- enizer,

Reference 31

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This paper cites AnyFace: A data-centric approach for input-agnostic face detection,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder AnyFace: A data-centric approach for input-agnostic face detection,

Reference 32

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This paper cites YOLOX: Exceeding YOLO series in 2021,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder YOLOX: Exceeding YOLO series in 2021,

Reference 33

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This paper cites ByteTrack: Multi-object tracking by associating every detection box,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder ByteTrack: Multi-object tracking by associating every detection box,

Reference 34

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Observation 000d1b42-4ef7-4d24-876a-c51d2ddc10df · outbound

This paper cites PanAf20k: A large video dataset for wild ape detection and behaviour recognition,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder PanAf20k: A large video dataset for wild ape detection and behaviour recognition,

Reference 35

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Observation 97bff2a9-a272-4c22-8825-991baa1a4525 · outbound

This paper cites Reaffirming the loma mountains national park in sierra leone as a critical site for the conservation of west african chimpanzee (pan troglodytes verus),.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Reaffirming the loma mountains national park in sierra leone as a critical site for the conservation of west african chimpanzee (pan troglodytes verus),

Reference 36

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Observation 82ede3b4-adaa-4ece-90b0-95bcea8fb27d · outbound

This paper cites C3-DINO: Joint contrastive and non- contrastive self-supervised learning for speaker verification,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder C3-DINO: Joint contrastive and non- contrastive self-supervised learning for speaker verification,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:34:17.752488Z

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Observation d482ec30-f228-4e85-81f2-274a25d1890f · outbound

This paper cites Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging,

Reference 38

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Observation a5ae8f70-5825-4219-9bd1-931050a1d026 · outbound

This paper cites Vic-MAE: Self- supervised representation learning from images and video with contrastive masked autoencoders,.

Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder Vic-MAE: Self- supervised representation learning from images and video with contrastive masked autoencoders,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:34:17.735902Z

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Pith citing papers

Observation 6999bf4c-548d-4c64-ba69-9231bf4f8432 · inbound