Paper Citation Record · LEDGER

Sensitive Image Classification by Vision Transformers

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2412.16446.

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

pith.paper-citation-record.v1
2412.16446 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:37:19.977230Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

35 of 35 outbound references displayed

verified exact2
verified fuzzy23
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3247c8f-959b-49a7-8e3b-b584f6c791e6 · outbound

This paper cites Findings from WeProtect global alliance/ technology coalition survey of technology companies.

Sensitive Image Classification by Vision Transformers Findings from WeProtect global alliance/ technology coalition survey of technology companies

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.590035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 93612713-5a75-499e-9b9c-f6c04ed05ba9 · outbound

This paper cites The tale of Telegram governance: When the rule of thumb fails,.

Sensitive Image Classification by Vision Transformers The tale of Telegram governance: When the rule of thumb fails,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.576665Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3d139b80-6b47-4932-a132-105c0127f3f6 · outbound

This paper cites Detecting child sexual abuse material: A comprehensive survey,.

Sensitive Image Classification by Vision Transformers Detecting child sexual abuse material: A comprehensive survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.562766Z

Source-reported events for the cited work

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Observation dedefd7a-479c-4c57-abae-50b524c24806 · outbound

This paper cites Smart content recognition from images using a mixture of convolutional neural networks,.

Sensitive Image Classification by Vision Transformers Smart content recognition from images using a mixture of convolutional neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.548476Z

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Observation 07ebffce-6460-4b8a-a787-f4e18e7ebd20 · outbound

This paper cites 20k nudity dataset,.

Sensitive Image Classification by Vision Transformers 20k nudity dataset,

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-11T10:37:20.180497Z

Source-reported events for the cited work

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Observation 1e6a80df-73c7-4ad2-85c9-5c17aec191f8 · outbound

This paper cites AttM- CNN: Attention and metric learning based CNN for pornography, age and child sexual abuse (CSA) detection in images,.

Sensitive Image Classification by Vision Transformers AttM- CNN: Attention and metric learning based CNN for pornography, age and child sexual abuse (CSA) detection in images,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.533728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e823b342-7dda-4768-a42f-4d5fb91e7bcd · outbound

This paper cites Description of the neural network based on AB/DL pictures. Possible implications for forensic sexology,.

Sensitive Image Classification by Vision Transformers Description of the neural network based on AB/DL pictures. Possible implications for forensic sexology,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.519350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 725679e3-c2f1-4203-ac36-cf55d46cd546 · outbound

This paper cites LSPD: A large-scale pornographic dataset for detection and classification,.

Sensitive Image Classification by Vision Transformers LSPD: A large-scale pornographic dataset for detection and classification,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.503920Z

Source-reported events for the cited work

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Observation b0e23209-dd61-431b-81cf-380d73dd6919 · outbound

This paper cites an unresolved cited work.

Sensitive Image Classification by Vision Transformers Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 275d7f96-4e65-4209-adeb-05c41a44f927 · outbound

This paper cites Detecting pornographic images by localizing skin rois,.

Sensitive Image Classification by Vision Transformers Detecting pornographic images by localizing skin rois,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.472012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fee19391-3a80-4351-8615-e122190b463f · outbound

This paper cites NuDetective: A Forensic Tool to Help Combat Child Pornography through Automatic Nudity Detection,.

Sensitive Image Classification by Vision Transformers NuDetective: A Forensic Tool to Help Combat Child Pornography through Automatic Nudity Detection,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.456656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 061454a2-7421-44bd-a022-7fcacb5e3c8e · outbound

This paper cites Open nsfw model,.

Sensitive Image Classification by Vision Transformers Open nsfw model,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.443407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d5f4db3f-303e-4547-b344-a0b95be9bf8c · outbound

This paper cites Laying foundations for effective machine learning in law enforce- ment. Majura – A labelling schema for child exploitation materials,.

Sensitive Image Classification by Vision Transformers Laying foundations for effective machine learning in law enforce- ment. Majura – A labelling schema for child exploitation materials,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.429531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2738a141-98ee-4173-aad6-281e53a34d06 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Sensitive Image Classification by Vision Transformers Neural Machine Translation by Jointly Learning to Align and Translate

Reference 14

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Source-reported events for the cited work

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Observation ca7ea071-2fa1-4600-ac11-9a01e9b04636 · outbound

This paper cites Survey on the attention based RNN model and its applications in computer vision.

Sensitive Image Classification by Vision Transformers Survey on the attention based RNN model and its applications in computer vision

Reference 15

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Source-reported events for the cited work

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Observation 5db4cb8a-494b-46fc-ad12-514e57ff39f4 · outbound

This paper cites The Kinetics Human Action Video Dataset.

Sensitive Image Classification by Vision Transformers The Kinetics Human Action Video Dataset

Reference 16

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Source-reported events for the cited work

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Observation 755b89b8-1194-42f0-b51e-774c19727d60 · outbound

This paper cites The “something something.

Sensitive Image Classification by Vision Transformers The “something something

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.413802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6477ee2c-bc56-4763-92a7-6c1aa4fca996 · outbound

This paper cites Multimodal learning with trans- formers: A survey,.

Sensitive Image Classification by Vision Transformers Multimodal learning with trans- formers: A survey,

Reference 18

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Source-reported events for the cited work

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Observation b75aecde-cf7e-4111-be61-bfa67dfaf42d · outbound

This paper cites Frozen CLIP models are efficient video learners,.

Sensitive Image Classification by Vision Transformers Frozen CLIP models are efficient video learners,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.388758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bf12f670-a356-47c9-bd56-039b168bb1f6 · outbound

This paper cites VideoMAE: Masked autoencoders are data-efficient learners for self-supervised video pre- training,.

Sensitive Image Classification by Vision Transformers VideoMAE: Masked autoencoders are data-efficient learners for self-supervised video pre- training,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.374744Z

Source-reported events for the cited work

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Observation d766ce6d-4c5f-40be-8d5d-1431e86b02eb · outbound

This paper cites Is Space-Time Attention All You Need for Video Understanding?.

Sensitive Image Classification by Vision Transformers Is Space-Time Attention All You Need for Video Understanding?

Reference 21

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Source-reported events for the cited work

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Observation 54c9698f-6890-46eb-becd-a9439c9e4701 · outbound

This paper cites PolyViT: Co-training Vision Transformers on Images, Videos and Audio.

Sensitive Image Classification by Vision Transformers PolyViT: Co-training Vision Transformers on Images, Videos and Audio

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T10:37:19.914676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1c46bea-02dc-4088-a560-d39b6b25ea66 · outbound

This paper cites Omnimae: Single model masked pretraining on images and videos,.

Sensitive Image Classification by Vision Transformers Omnimae: Single model masked pretraining on images and videos,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.359371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ca03eb9b-1a15-4b0a-a9dc-4fe64b80c01b · outbound

This paper cites Omnivore: A single model for many visual modalities,.

Sensitive Image Classification by Vision Transformers Omnivore: A single model for many visual modalities,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.342848Z

Source-reported events for the cited work

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Observation aa71f67d-3c31-43f1-8f6d-432f80907d63 · outbound

This paper cites M&M Mix: A Multimodal Multiview Transformer Ensemble.

Sensitive Image Classification by Vision Transformers M&M Mix: A Multimodal Multiview Transformer Ensemble

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T10:37:19.928139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aaa08d9-12da-44e2-9225-2e1a0f4b434e · outbound

This paper cites MultiMAE: Multi-modal multi-task masked autoencoders,.

Sensitive Image Classification by Vision Transformers MultiMAE: Multi-modal multi-task masked autoencoders,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.325566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 790da5fd-1fa7-4c0d-be08-ddd584149612 · outbound

This paper cites Video swin transformer,.

Sensitive Image Classification by Vision Transformers Video swin transformer,

Reference 27

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Source-reported events for the cited work

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Observation dbf9293b-db3f-483b-98cd-4e59398db252 · outbound

This paper cites BEVT: BERT pretraining of video transform- ers,.

Sensitive Image Classification by Vision Transformers BEVT: BERT pretraining of video transform- ers,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.298900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 41d996c0-5fb5-4e87-a7a6-47f6a52e68c2 · outbound

This paper cites Attention is all you need,.

Sensitive Image Classification by Vision Transformers Attention is all you need,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.281089Z

Source-reported events for the cited work

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Observation bfac9bde-7f4b-49ab-866a-e3c508af8b25 · outbound

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

Sensitive Image Classification by Vision Transformers An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 30

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Source-reported events for the cited work

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Observation 5c48f9d8-efd4-4a6b-948e-a2e6adefd456 · outbound

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

Sensitive Image Classification by Vision Transformers Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 31

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Source-reported events for the cited work

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Observation 7be411ab-43b3-414e-aa24-e33a47363ac2 · outbound

This paper cites Fast vision transformers with HiLo at- tention,.

Sensitive Image Classification by Vision Transformers Fast vision transformers with HiLo at- tention,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.243234Z

Source-reported events for the cited work

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Observation 352f6087-b9a7-46c6-ba11-4eefa851e2c7 · outbound

This paper cites State-of-the-art in nudity classification: A comparative analysis,.

Sensitive Image Classification by Vision Transformers State-of-the-art in nudity classification: A comparative analysis,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.227175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4279de66-d7ea-4b40-a2c3-8e65d9416397 · outbound

This paper cites The Bumble’s private detector model.

Sensitive Image Classification by Vision Transformers The Bumble’s private detector model

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.210155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b35b030c-7f1d-4ef9-83c8-b7a96553033e · outbound

This paper cites EfficientNet: Rethinking model scaling for con- volutional neural networks,.

Sensitive Image Classification by Vision Transformers EfficientNet: Rethinking model scaling for con- volutional neural networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:37:20.194560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.