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Paper Citation Record · LEDGER

Enhanced 3D convolutional networks for crowd counting

As of 21 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:1908.04121.

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

pith.paper-citation-record.v1
1908.04121 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:55:06.881516Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:57:23.936167Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T16:57:24.035685Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact4
  • verified fuzzy18
  • unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bf6e44c5-adce-4c08-9933-48b1188d7e59 · outbound

This paper cites Venkatesh Babu.

Enhanced 3D convolutional networks for crowd counting Venkatesh Babu

Reference 1

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Source-reported events for the cited work

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Observation 0b4eaa33-1004-409b-9d81-fa7c9458fdbe · outbound

This paper cites Sajjan, R.

Enhanced 3D convolutional networks for crowd counting Sajjan, R

Reference 2

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Observation 853305ec-96f0-4aad-8657-19af081614da · outbound

This paper cites Scale aggregation network for accurate and efficient crowd counting.

Enhanced 3D convolutional networks for crowd counting Scale aggregation network for accurate and efficient crowd counting

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7d020284-4f4b-4646-afe4-8076ef7200e5 · outbound

This paper cites an unresolved cited work.

Enhanced 3D convolutional networks for crowd counting Unresolved cited work

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 142c6296-522c-4785-a2d2-2ede360d5c63 · outbound

This paper cites an unresolved cited work.

Enhanced 3D convolutional networks for crowd counting Unresolved cited work

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8665c821-ec24-4d32-9168-80ce4cebc5ea · outbound

This paper cites Feature mining for localised crowd counting.

Enhanced 3D convolutional networks for crowd counting Feature mining for localised crowd counting

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 12f9269c-1b28-4fc3-a333-e1ce45bba4a4 · outbound

This paper cites Histograms of Oriented Gradients for Human Detection.

Enhanced 3D convolutional networks for crowd counting Histograms of Oriented Gradients for Human Detection

Reference 7

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Source-reported events for the cited work

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Observation e8135f49-13ae-44e9-8185-13dc3526507f · outbound

This paper cites An aggregated multicolumn dilated convolution network for perspective-free counting.

Enhanced 3D convolutional networks for crowd counting An aggregated multicolumn dilated convolution network for perspective-free counting

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 264f6596-e069-4dfd-9122-2b8a3326ca97 · outbound

This paper cites Crowd counting using multiple local features.

Enhanced 3D convolutional networks for crowd counting Crowd counting using multiple local features

Reference 9

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Source-reported events for the cited work

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Observation 53fcc4f9-0f32-4f7b-908f-b1a05712d837 · outbound

This paper cites Extremely overlapping vehicle counting.

Enhanced 3D convolutional networks for crowd counting Extremely overlapping vehicle counting

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 554a7aaf-d5c4-4d9d-ad13-fa5023f7fca4 · outbound

This paper cites Deep residual learning for image recognition.

Enhanced 3D convolutional networks for crowd counting Deep residual learning for image recognition

Reference 11

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Source-reported events for the cited work

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Observation 8ff90857-239b-4d30-983a-13066769bd22 · outbound

This paper cites an unresolved cited work.

Enhanced 3D convolutional networks for crowd counting Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5f992cb4-a99e-47e8-9bfe-dcbb500bba33 · outbound

This paper cites Crowd counting by adaptively fusing predictions from an image pyramid.

Enhanced 3D convolutional networks for crowd counting Crowd counting by adaptively fusing predictions from an image pyramid

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ea2441f2-f4d4-4c6a-8cf9-d06b66559601 · outbound

This paper cites an unresolved cited work.

Enhanced 3D convolutional networks for crowd counting Unresolved cited work

Reference 14

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Source-reported events for the cited work

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Observation 16565ded-44a5-4c72-8930-31e1deb4a1ee · outbound

This paper cites CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes.

Enhanced 3D convolutional networks for crowd counting CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 18d056e3-f51e-4ae7-ac9e-d2197d7d1b8c · outbound

This paper cites Hauptmann.

Enhanced 3D convolutional networks for crowd counting Hauptmann

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation f9804912-5ed7-4d6a-bae3-bcb66b48c26d · outbound

This paper cites Bagdanov.

Enhanced 3D convolutional networks for crowd counting Bagdanov

Reference 17

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Source-reported events for the cited work

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Observation 598df91a-defa-453c-8db5-a141e42f59df · outbound

This paper cites Direct shape regression networks for end-to-end face alignment.

Enhanced 3D convolutional networks for crowd counting Direct shape regression networks for end-to-end face alignment

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 8ce6bbbe-565d-43e5-8946-f4ad2c1e73cb · outbound

This paper cites López-Sastre.

Enhanced 3D convolutional networks for crowd counting López-Sastre

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d6fa6821-c465-468e-83a6-4715e9c6bcc4 · outbound

This paper cites Learning Short-Cut Connections for Object Counting.

Enhanced 3D convolutional networks for crowd counting Learning Short-Cut Connections for Object Counting

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e0fb9717-3033-43c8-bf23-a56fad1dfc35 · outbound

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Enhanced 3D convolutional networks for crowd counting Unresolved cited work

Reference 21

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Observation 1d8556e3-4928-4049-a564-455f81440235 · outbound

This paper cites Iterative crowd counting.

Enhanced 3D convolutional networks for crowd counting Iterative crowd counting

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation c6164790-6a68-4f6a-97e2-5bacc7601ff6 · outbound

This paper cites Sheng, C.

Enhanced 3D convolutional networks for crowd counting Sheng, C

Reference 23

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Observation a4e93b02-0c62-4ec2-8e83-ccfa8f4f600e · outbound

This paper cites Crowd counting with deep negative correlation learning.

Enhanced 3D convolutional networks for crowd counting Crowd counting with deep negative correlation learning

Reference 24

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Observation 22d2c4ea-80ec-49af-af3e-6dc73ccf751c · outbound

This paper cites Sindagi and Vishal M.

Enhanced 3D convolutional networks for crowd counting Sindagi and Vishal M

Reference 25

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 40f2dd35-dfd8-4862-8f21-bdf6b1a4bb4d · outbound

This paper cites Learning spatiotemporal features with 3d convolutional networks.

Enhanced 3D convolutional networks for crowd counting Learning spatiotemporal features with 3d convolutional networks

Reference 26

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Observation 88f842bd-309a-4819-b84a-d1ac63202d39 · outbound

This paper cites A Closer Look at Spatiotemporal Convolutions for Action Recognition.

Enhanced 3D convolutional networks for crowd counting A Closer Look at Spatiotemporal Convolutions for Action Recognition

Reference 27

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Observation 47fde8a6-8d6e-4b5b-a4b8-f89bda6282d4 · outbound

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Enhanced 3D convolutional networks for crowd counting Unresolved cited work

Reference 28

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Observation 9f204708-3828-421d-88d8-ab2af052661b · outbound

This paper cites Wang and Y.

Enhanced 3D convolutional networks for crowd counting Wang and Y

Reference 29

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Source-reported events for the cited work

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Observation 4bc04f6b-53c5-4842-a978-a81872a70f81 · outbound

This paper cites In Defense of Single-column Networks for Crowd Counting.

Enhanced 3D convolutional networks for crowd counting In Defense of Single-column Networks for Crowd Counting

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a83ed538-678e-48ab-90af-4d9099653350 · outbound

This paper cites Detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet based part detectors.

Enhanced 3D convolutional networks for crowd counting Detection and tracking of multiple, partially occluded humans by bayesian combination of edgelet based part detectors

Reference 31

Resolution
verified exact
doi, observed 2026-08-14T13:55:06.938623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 4bf52bc3-061b-45c1-b6b8-ace87d5608d8 · outbound

This paper cites Spatiotemporal modeling for crowd counting in videos.

Enhanced 3D convolutional networks for crowd counting Spatiotemporal modeling for crowd counting in videos

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d0419df1-fa51-40f2-a964-02d8ad71ffee · outbound

This paper cites Cross-scene crowd counting via deep convolutional neural networks.

Enhanced 3D convolutional networks for crowd counting Cross-scene crowd counting via deep convolutional neural networks

Reference 33

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 90cb5a69-8046-464e-b805-a83c09b26cf5 · outbound

This paper cites FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras.

Enhanced 3D convolutional networks for crowd counting FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras

Reference 34

Resolution
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local_arxiv, observed 2026-08-14T13:55:07.151504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 695c9d58-f5e7-408b-9b0c-a674ecd6b2b3 · outbound

This paper cites Fully convolutional adaptation networks for semantic segmentation.

Enhanced 3D convolutional networks for crowd counting Fully convolutional adaptation networks for semantic segmentation

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5684b13f-b20e-4da1-bd05-302c51d06a60 · outbound

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

Enhanced 3D convolutional networks for crowd counting Single-image crowd counting via multi-column convolutional neural network

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:55:08.214856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d152d29e-f0e3-4f03-b663-5499fe55c7ed · outbound

This paper cites an unresolved cited work.

Enhanced 3D convolutional networks for crowd counting Unresolved cited work

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c28c3ad0-92b6-4223-9f08-6126ffd1d17c · outbound

This paper cites an unresolved cited work.

Enhanced 3D convolutional networks for crowd counting Unresolved cited work

Reference 2009

Resolution
malformed identifier
no resolver link, observed 2026-08-14T13:55:06.673671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:55:06.673671Z digest=sha256:81553ee09fea643a4a21977c2a7c0d668637964ccb9e0576f7f75b546ca12dff

Pith citing papers

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

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark cites this paper.

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-08-12T16:57:23.936167Z digest=sha256:73703f11a8ff45692a4e1ed7c1a7307cfff205d44bdd33c8b6bdbcfdcec110ba