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Paper Citation Record · LEDGER

Visual Question Answering using Deep Learning: A Survey and Performance Analysis

As of 23 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:1909.01860.

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

pith.paper-citation-record.v1
1909.01860 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:56:14.425603Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T07:15:40.242481Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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  • verified fuzzy33
  • unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2417756b-dd46-4e58-bae7-88b5604831da · outbound

This paper cites TallyQA: Answering Complex Counting Questions.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis TallyQA: Answering Complex Counting Questions

Reference 1

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Observation 7cf3febf-a5ae-4813-ab48-653b3d80c44b · outbound

This paper cites In: IEEE ICCV , pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: IEEE ICCV , pp

Reference 2

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Observation 07ef5d67-359f-4cb6-9e3e-b6078dc7f3aa · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 3

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Observation 3db3a2ad-268e-4977-90bd-a29c2e84f0f9 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 4

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Source-reported events for the cited work

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Observation 6f98e4c6-bcca-4a3e-a618-50ba2eebc998 · outbound

This paper cites In: IEEE CVPR, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: IEEE CVPR, pp

Reference 5

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Source-reported events for the cited work

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Observation 328e446c-02f2-4d02-bf22-4d89008cc02a · outbound

This paper cites In: IEEE CVPR, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: IEEE CVPR, pp

Reference 6

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Source-reported events for the cited work

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Observation 14ad56ed-57b0-467b-9d92-a382d56fa189 · outbound

This paper cites Neural computation 9(8), 1735– 1780 (1997).

Visual Question Answering using Deep Learning: A Survey and Performance Analysis Neural computation 9(8), 1735– 1780 (1997)

Reference 7

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Observation f1e4c0a9-1431-4519-b3dc-ca632892732d · outbound

This paper cites In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp

Reference 8

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Source-reported events for the cited work

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Observation c1cd7157-ea53-45b7-adf4-e1a1f25a4378 · outbound

This paper cites MemexQA: Visual Memex Question Answering.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis MemexQA: Visual Memex Question Answering

Reference 9

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Observation 721dd85f-8da8-4b15-9501-87679680f41e · outbound

This paper cites Pythia v0.1: the Winning Entry to the VQA Challenge 2018.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis Pythia v0.1: the Winning Entry to the VQA Challenge 2018

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ee9cfe99-e365-427a-9722-d0b2431abe2a · outbound

This paper cites In: IEEE CVPR, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: IEEE CVPR, pp

Reference 12

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Source-reported events for the cited work

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Observation 23caefde-dfbe-4608-8f8b-f4f4fbb07615 · outbound

This paper cites In: ICCV (2017).

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: ICCV (2017)

Reference 13

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Observation b30815ae-6b1d-4ac6-9409-6c78503b27b1 · outbound

This paper cites In: NIPS, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: NIPS, pp

Reference 14

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Source-reported events for the cited work

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Observation 98345216-ca7e-4b80-8eb0-90d56ab795a3 · outbound

This paper cites In: Proceedings of the 28th ACM International Conference on Multimedia, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: Proceedings of the 28th ACM International Conference on Multimedia, pp

Reference 15

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Source-reported events for the cited work

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Observation baff8406-e5a9-4a0d-9da4-a5f4f4969057 · outbound

This paper cites Pattern Recognition Letters 133, 334–340 (2020).

Visual Question Answering using Deep Learning: A Survey and Performance Analysis Pattern Recognition Letters 133, 334–340 (2020)

Reference 16

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Source-reported events for the cited work

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Observation 7bb47288-fe09-4123-87a1-fa09cca646a9 · outbound

This paper cites In: IEEE CVPR, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: IEEE CVPR, pp

Reference 17

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Source-reported events for the cited work

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Observation 742a755a-c579-43b2-be37-b35773f12b05 · outbound

This paper cites In: ECCV , pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: ECCV , pp

Reference 18

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Observation 40dce63c-3d95-4de0-9f42-fd2f19d39fa1 · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing (2020).

Visual Question Answering using Deep Learning: A Survey and Performance Analysis IEEE Transactions on Geoscience and Remote Sensing (2020)

Reference 19

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Observation ee2ebd2f-374d-480e-93d5-d5e6647c4c2d · outbound

This paper cites In: NIPS, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: NIPS, pp

Reference 20

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Observation b7c85049-053a-490d-91b2-ac350c71e2f4 · outbound

This paper cites Design and Applications 5 (2001).

Visual Question Answering using Deep Learning: A Survey and Performance Analysis Design and Applications 5 (2001)

Reference 21

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Observation 298bc9af-db48-4339-8e44-dce711483c50 · outbound

This paper cites In: IEEE CVPR, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: IEEE CVPR, pp

Reference 22

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Observation 5e99f97d-dcd9-4904-bc80-3040ba16f778 · outbound

This paper cites In: EMNLP, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: EMNLP, pp

Reference 23

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Observation 7532e19d-54a3-4ae4-b9d5-174eec2f8be9 · outbound

This paper cites In: Advances in neural information processing systems, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: Advances in neural information processing systems, pp

Reference 24

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Observation 4d8c7b13-3560-47fd-a8df-3876e45c0339 · outbound

This paper cites In: NIPS, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: NIPS, pp

Reference 25

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Observation c95a22fe-c4db-4d57-ac4c-8b867c900f1b · outbound

This paper cites In: AAAI (2019) Visual Question Answering using Deep Learning: A Survey and Performance Analysis 11.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: AAAI (2019) Visual Question Answering using Deep Learning: A Survey and Performance Analysis 11

Reference 26

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Observation 95aa45a0-5412-492b-bc93-ca8200b8e5ae · outbound

This paper cites In: ECCV , pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: ECCV , pp

Reference 27

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Observation a36691ce-a6a1-4820-b051-f6023fb5ce2b · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 28

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Observation cc40b9bb-6bb6-4440-80c6-7ab58896f848 · outbound

This paper cites In: IEEE CVPR, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: IEEE CVPR, pp

Reference 29

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Observation 2f05da1e-6527-4be7-a201-ffefd7d3be17 · outbound

This paper cites In: IEEE CVPR, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: IEEE CVPR, pp

Reference 30

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Observation 272cfa69-1a4c-4d99-9269-009481d09f79 · outbound

This paper cites In: IEEE CVPR, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: IEEE CVPR, pp

Reference 31

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Observation 085505fa-0cc8-435b-92b8-125f08a28114 · outbound

This paper cites AAAI 2019 (2019).

Visual Question Answering using Deep Learning: A Survey and Performance Analysis AAAI 2019 (2019)

Reference 32

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Observation 656e6d5c-53cf-4ee3-9c9c-ca4597c25603 · outbound

This paper cites In: IEEE CVPR, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: IEEE CVPR, pp

Reference 33

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Observation 732e6d33-f6ee-46e7-87af-67d27f5b9237 · outbound

This paper cites In: NIPS, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: NIPS, pp

Reference 34

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Observation 19b93d7b-5068-45e3-9c84-fefd4f6cce1c · outbound

This paper cites Pattern Recognition 108, 107,563 (2020).

Visual Question Answering using Deep Learning: A Survey and Performance Analysis Pattern Recognition 108, 107,563 (2020)

Reference 35

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Observation 2c089a15-9b59-4567-9610-8974df639e09 · outbound

This paper cites In: IEEE ICCV , pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: IEEE ICCV , pp

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation f02dd804-c694-4dff-845c-0a8ddf06e33a · outbound

This paper cites In: Proceedings of the 28th ACM International Conference on Multi- media, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: Proceedings of the 28th ACM International Conference on Multi- media, pp

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:56:14.583468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T10:56:14.417429Z digest=sha256:2428dcc694917277ae17ae1cfccd0a4e984f38f74e82a670c2a0201a13686a42

Observation 9d933a09-40e6-406b-8c81-bac4e2c65bf7 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:56:14.568087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T10:56:14.421646Z digest=sha256:5a953b09623d0071bc959b75952a67edbb3614c9dcf4b1b99caf16262ddd77f6

Observation d59e5010-dc26-459a-ac79-db022c69192b · outbound

This paper cites In: IEEE CVPR, pp.

Visual Question Answering using Deep Learning: A Survey and Performance Analysis In: IEEE CVPR, pp

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:56:14.551430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-14T10:56:14.425603Z digest=sha256:c5cf208424feb5b45ae601f4546620bf12a7fd3281ee7eea2c9efcd097988790

Pith citing papers

Observation e3108b66-626a-4d5e-b124-fe61707858a4 · inbound

DentiAsk: A VQA Benchmark for Multimodal Reasoning in Panoramic Dental Radiographs cites this paper.

DentiAsk: A VQA Benchmark for Multimodal Reasoning in Panoramic Dental Radiographs Visual Question Answering using Deep Learning: A Survey and Performance Analysis

Reference 52

Resolution
unresolved
no resolver link, observed 2026-07-13T07:15:40.242481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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