Paper Citation Record · LEDGER

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark

As of 21 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2411.13056.

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

pith.paper-citation-record.v1
2411.13056 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:57:23.947375Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

48 of 48 outbound references displayed

verified exact6
verified fuzzy19
unresolved20
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78de6edd-6ba5-4416-a0f8-b5a9de3591b8 · outbound

This paper cites write newline.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.782447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2614720-692f-476a-8d3f-41d5899fd900 · outbound

This paper cites Arteta, V.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Arteta, V

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:25.052902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9336d576-683b-4a9e-a2a2-e54644fc83db · outbound

This paper cites A spatio-temporal attentive network for video-based crowd counting.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark A spatio-temporal attentive network for video-based crowd counting

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.791186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52a8ef27-0ddc-4792-b827-281bb1618396 · outbound

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

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark MultiMAE : Multi-modal multi-task masked autoencoders

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:25.042712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 78f9d0d9-06a9-4221-9460-8fd303c44804 · outbound

This paper cites an unresolved cited work.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-12T16:57:25.032456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b1d05056-85ce-473d-ae0e-94583a8d7f67 · outbound

This paper cites BE it: BERT pre-training of image transformers.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark BE it: BERT pre-training of image transformers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.802121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab34073d-7ad5-4ec8-85b8-cc4932a56fcc · outbound

This paper cites Generative pretraining from pixels.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Generative pretraining from pixels

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:25.016749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7559e6d6-2689-4933-babd-80b49dffba1c · outbound

This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark BERT : Pre-training of deep bidirectional transformers for language understanding

Reference 8

Resolution: malformed identifier; no resolver link, observed 2026-08-12T16:57:23.809064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 440ed128-4068-4d88-aa34-4a7999eff820 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.812413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9685b215-d4aa-48d5-a5d6-15a924bd2266 · outbound

This paper cites Redesigning multi-scale neural network for crowd counting.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Redesigning multi-scale neural network for crowd counting

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:25.007105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 626e37d2-a91a-4636-9903-0addb52abe50 · outbound

This paper cites Locality-constrained Spatial Transformer Network for Video Crowd Counting.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Locality-constrained Spatial Transformer Network for Video Crowd Counting

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.819308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 371c6409-ac7b-4fe8-9441-4d53923a1442 · outbound

This paper cites Multi-level feature fusion based locality-constrained spatial transformer network for video crowd counting.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Multi-level feature fusion based locality-constrained spatial transformer network for video crowd counting

Reference 12

Resolution: verified exact; doi, observed 2026-08-12T16:57:24.018963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d4e7bb18-c7e9-4865-be09-3b03414112da · outbound

This paper cites Masked Autoencoders Are Scalable Vision Learners.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Masked Autoencoders Are Scalable Vision Learners

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.826976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd01dfb4-1de7-4279-a4ee-3027a3802743 · outbound

This paper cites Video-based crowd counting using a multi-scale optical flow pyramid network.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Video-based crowd counting using a multi-scale optical flow pyramid network

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.996512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9db75f98-6b03-47ea-a154-dc0b13e0e245 · outbound

This paper cites Frame-recurrent video crowd counting.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Frame-recurrent video crowd counting

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.833699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d57eee47-f21d-4ffc-81d4-41e1418f6ed8 · outbound

This paper cites Clip-count: Towards text-guided zero-shot object counting.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Clip-count: Towards text-guided zero-shot object counting

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.837157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b07f420c-f39f-4c4b-bbdc-2760dec31ff1 · outbound

This paper cites Vlcounter: Text-aware visual representation for zero-shot object counting.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Vlcounter: Text-aware visual representation for zero-shot object counting

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.985644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44abdf7a-f553-4568-9b82-d0e3f0096172 · outbound

This paper cites Video crowd localization with multifocus gaussian neighborhood attention and a large-scale benchmark.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Video crowd localization with multifocus gaussian neighborhood attention and a large-scale benchmark

Reference 18

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T16:57:24.609996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 43b5dbcc-1851-4bbe-b4aa-145e236db61d · outbound

This paper cites Csrnet: Dilated convolutional neural networks for understanding the highly congested scenes.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Csrnet: Dilated convolutional neural networks for understanding the highly congested scenes

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.846966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e7bb7f6-0872-48bc-9c94-cd381b828bad · outbound

This paper cites Transcrowd: weakly-supervised crowd counting with transformers.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Transcrowd: weakly-supervised crowd counting with transformers

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.975681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f8569ae5-1d0d-48be-a570-e427f6b725be · outbound

This paper cites Boosting crowd counting via multifaceted attention.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Boosting crowd counting via multifaceted attention

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.965341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cd0653db-3a7d-43e6-9cdd-0a97e685dace · outbound

This paper cites Gramformer: Learning Crowd Counting via Graph-Modulated Transformer.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Gramformer: Learning Crowd Counting via Graph-Modulated Transformer

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:57:24.474037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d159f02c-9c61-4f5d-b4a5-f0a345eddb72 · outbound

This paper cites Point-query quadtree for crowd counting, localization, and more.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Point-query quadtree for crowd counting, localization, and more

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.955272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7a0b16c9-afd0-4c71-9896-e1652db2a2ee · outbound

This paper cites Context-aware crowd counting.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Context-aware crowd counting

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.945253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 664e97d6-0f59-46a2-990b-63d94dcb3050 · outbound

This paper cites Estimating people flows to better count them in crowded scenes.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Estimating people flows to better count them in crowded scenes

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.934936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aa9eff38-6cd3-4e1a-aec1-b52ec02577b8 · outbound

This paper cites From semi-supervised to transfer counting of crowds.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark From semi-supervised to transfer counting of crowds

Reference 26

Resolution: verified exact; doi, observed 2026-08-12T16:57:24.008980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 166a18b5-fc40-4574-9de1-af9f9e8641b0 · outbound

This paper cites Bayesian loss for crowd count estimation with point supervision.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Bayesian loss for crowd count estimation with point supervision

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.924155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ecad169a-ae56-4f8c-bd91-ec3133ddc848 · outbound

This paper cites Phnet: Parasite-host network for video crowd counting.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Phnet: Parasite-host network for video crowd counting

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.880503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3544976-f0bd-4017-a5b4-3356690211c3 · outbound

This paper cites Rudin, Stanley Osher, and Emad Fatemi.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Rudin, Stanley Osher, and Emad Fatemi

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.883550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bb89ac6-e73a-40be-8d23-01b8fa385da9 · outbound

This paper cites Convolutional lstm network: a machine learning approach for precipitation nowcasting.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Convolutional lstm network: a machine learning approach for precipitation nowcasting

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.913583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91c7fe4f-fb45-4a2d-be96-89aa511175b8 · outbound

This paper cites Crowd counting in the frequency domain.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Crowd counting in the frequency domain

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.903338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 42c4479e-a51b-402e-9b9b-5cd1d2c1b31a · outbound

This paper cites PWC-Net : CNNs for optical flow using pyramid, warping, and cost volume.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark PWC-Net : CNNs for optical flow using pyramid, warping, and cost volume

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.893026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d51332c6-d2ce-48cf-a815-15be8225e664 · outbound

This paper cites CCTrans: Simplifying and Improving Crowd Counting with Transformer.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark CCTrans: Simplifying and Improving Crowd Counting with Transformer

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.896271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e5a2c63-1336-4c00-9265-d6ff21e9ba3b · outbound

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

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Video MAE : Masked autoencoders are data-efficient learners for self-supervised video pre-training

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.882248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8c05006d-6a9c-4f66-a70d-d29040192035 · outbound

This paper cites Attention is all you need.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Attention is all you need

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.903168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b6566b4-245c-4135-9a4b-6423cc651fa1 · outbound

This paper cites Extracting and composing robust features with denoising autoencoders.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Extracting and composing robust features with denoising autoencoders

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.906726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c431bf60-4e15-4b29-accb-0a01d9669159 · outbound

This paper cites Bird-count: a multi-modality benchmark and system for bird population counting in the wild.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Bird-count: a multi-modality benchmark and system for bird population counting in the wild

Reference 37

Resolution: verified exact; doi, observed 2026-08-12T16:57:23.998950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a2bd0bf0-a4b8-4aa7-a698-fce5016d0455 · outbound

This paper cites Fast video crowd counting with a temporal aware network.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Fast video crowd counting with a temporal aware network

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.866031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c3b0ec67-e2ae-441f-b134-c66cba37238b · outbound

This paper cites Spatial-temporal graph network for video crowd counting.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Spatial-temporal graph network for video crowd counting

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.916569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c06c77d-2b8a-43bc-a1d8-7d2e5070bc3a · outbound

This paper cites Spatiotemporal modeling for crowd counting in videos.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Spatiotemporal modeling for crowd counting in videos

Reference 40

Resolution: verified exact; doi, observed 2026-08-12T16:57:23.985587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 470da1b4-0df2-4d25-9f9c-e3fa5f45fd4f · outbound

This paper cites Reverse perspective network for perspective-aware object counting.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Reverse perspective network for perspective-aware object counting

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.855306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7a3fbda3-32c5-486a-9fdc-48b6ff5a7707 · outbound

This paper cites Single-image crowd counting via multi-column convolutional neural network.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Single-image crowd counting via multi-column convolutional neural network

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:57:24.844758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c75526b9-4f58-4993-b322-03008a703bc4 · outbound

This paper cites Locality-aware crowd counting.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Locality-aware crowd counting

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.929315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7e0ffea-fd1d-4f8a-bf2b-0649ab05a780 · outbound

This paper cites Graph regularized flow attention network for video animal counting from drones.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Graph regularized flow attention network for video animal counting from drones

Reference 44

Resolution: metadata mismatch; raw_fallback, observed 2026-08-12T16:57:24.135086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f90697e8-e4f4-4dab-9989-1d5d94f0adc5 · outbound

This paper cites Enhanced 3D convolutional networks for crowd counting.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Enhanced 3D convolutional networks for crowd counting

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-08-12T16:57:24.039410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7d9bc860-b41b-481b-bf69-a368c78472d8 · outbound

This paper cites @esa (Ref.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark @esa (Ref

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.939779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c6a71cc-5246-406f-9fea-608bfe245980 · outbound

This paper cites an unresolved cited work.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.943688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fe7fb19-91b2-479c-842f-0ee17427ea7c · outbound

This paper cites an unresolved cited work.

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T16:57:23.947375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.