Paper Citation Record · LEDGER

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering

As of 16 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2504.16723.

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

pith.paper-citation-record.v1
2504.16723 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:00:12.199791Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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 exact0
verified fuzzy20
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5b326e1a-1e59-4d99-a88c-5a3d3fd60c9f · outbound

This paper cites IEEE Transactions on Consumer Electronics (June 2024).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering IEEE Transactions on Consumer Electronics (June 2024)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.678929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e0c3d6df-54fe-4276-8413-8a486760be3c · outbound

This paper cites MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:00:12.073352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81a1ef46-24b3-4e8f-874a-c7c016078f09 · outbound

This paper cites In: 2018 International Conference on Frontiers of Information Technology (FIT).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering In: 2018 International Conference on Frontiers of Information Technology (FIT)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.664385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation efa36cc0-b19f-4a8a-ae5d-8ef570bc86e0 · outbound

This paper cites In: 2024 IEEE International Conference on Data Mining Work- shops (ICDMW).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering In: 2024 IEEE International Conference on Data Mining Work- shops (ICDMW)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:00:12.081590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b833b6-bf3a-44c2-b3ad-e207c04a3d45 · outbound

This paper cites In: Proceedings of the 26th International Conference on World Wide Web Companion (WWW ’17 Companion) (2017).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering In: Proceedings of the 26th International Conference on World Wide Web Companion (WWW ’17 Companion) (2017)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.642559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2865f9ef-6810-495d-969a-d0ed1f331c4b · outbound

This paper cites Caption Enriched Samples for Improving Hateful Memes Detection.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Caption Enriched Samples for Improving Hateful Memes Detection

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:00:12.089459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3f0ab62-7160-4328-82e5-d23bab02cc22 · outbound

This paper cites In: Proceedings of the International AAAI Conference on Web and Social Media.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering In: Proceedings of the International AAAI Conference on Web and Social Media

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.629533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b6f42075-2d9e-4d33-afaa-517988483b01 · outbound

This paper cites an unresolved cited work.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:00:12.097342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88d03666-eaa6-43d9-955e-46fa5c8d243f · outbound

This paper cites an unresolved cited work.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:00:12.603913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d8bc369a-814f-4636-9f01-da08e4b0705f · outbound

This paper cites Robust Filtering and Propagation of Uncertainty in Hidden Markov Models.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Robust Filtering and Propagation of Uncertainty in Hidden Markov Models

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T11:00:12.275917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 66d23774-b7c6-453f-945b-fe565dc59ecc · outbound

This paper cites ACM Transactions on Asian and Low-Resource Language Information Processing (2023).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering ACM Transactions on Asian and Low-Resource Language Information Processing (2023)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.591038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5bee9b2-638a-42a2-98c2-186b7ec9bcfa · outbound

This paper cites an unresolved cited work.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:00:12.112333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c39adabc-5fbc-4e8f-b18a-e766881d2bc5 · outbound

This paper cites In: Proceedings of the ACM Web Conference 2022.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering In: Proceedings of the ACM Web Conference 2022

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.569921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f7d2161-be4a-45fa-bb25-d0dbdf992929 · outbound

This paper cites In: IEEE International Conference on Computer Vi- sion (ICCV).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering In: IEEE International Conference on Computer Vi- sion (ICCV)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.558280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2d932c07-ca6e-4938-9cbd-83be0c50ad7f · outbound

This paper cites Information Fusion74, 50–64 (October 2021).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Information Fusion74, 50–64 (October 2021)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.545558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 625e735d-f23a-45e5-92ee-1c1e22188cbb · outbound

This paper cites The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:00:12.128280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef54cf3e-ccfa-49ad-8895-1afcbcc0558a · outbound

This paper cites Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Memes in the Wild: Assessing the Generalizability of the Hateful Memes Challenge Dataset

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:00:12.132039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52ad51fc-0300-4947-a51f-70443681a694 · outbound

This paper cites In: Proceedings of the 2021 Workshop on Online Abuse and Harms (WOAH 2021) (2021).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering In: Proceedings of the 2021 Workshop on Online Abuse and Harms (WOAH 2021) (2021)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.533089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d8aa2669-5289-483f-813a-f94597d4ce3e · outbound

This paper cites SN Computer Science 2(2), 95 (Apr 2021).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering SN Computer Science 2(2), 95 (Apr 2021)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.519302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 371cb821-f504-45a6-b92a-1320c077470a · outbound

This paper cites Neural Information Processing Systems (NeurIPS) paper (2020).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Neural Information Processing Systems (NeurIPS) paper (2020)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.501375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b0cba31d-9a90-4839-b3ba-24fd4f882fce · outbound

This paper cites an unresolved cited work.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:00:12.487232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a5e8e825-1ca6-4fa3-b075-ee061701dde5 · outbound

This paper cites Evaluating Text-to-Visual Generation with Image-to-Text Generation.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Evaluating Text-to-Visual Generation with Image-to-Text Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T11:00:12.151601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99e892c1-6e21-487a-a62d-b36fd74accb1 · outbound

This paper cites In: Com- panion Proceedings of the ACM Web Conference 2024.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering In: Com- panion Proceedings of the ACM Web Conference 2024

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.472539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d9bbaa7f-8362-4a9d-b715-16b3bb9588f4 · outbound

This paper cites Neural Information Processing Systems (NeurIPS) paper (2019).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Neural Information Processing Systems (NeurIPS) paper (2019)

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.457778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 362765a1-1412-46db-a1db-e5e82a0c9062 · outbound

This paper cites an unresolved cited work.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:00:12.439941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e3d06036-0fb9-44e7-a4cd-98e47da42d82 · outbound

This paper cites an unresolved cited work.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:00:12.423655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 63cfdb17-a2b7-464a-bece-bd3904284214 · outbound

This paper cites In: Proceedings of ConIT 2024.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering In: Proceedings of ConIT 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.409564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 10a56951-3ff3-48a1-b1dd-52de208ee956 · outbound

This paper cites https://openai.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering https://openai

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.396279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c62c7f0-5712-4d9e-b91f-2033866bcfea · outbound

This paper cites In: Zong, C., Xia, F., Li, W., Navigli, R.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering In: Zong, C., Xia, F., Li, W., Navigli, R

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.383576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f084d0d4-1169-43d7-812c-832c5f93e4dd · outbound

This paper cites In: 2024 IEEE International Conference on Data Mining Workshops (ICDMW).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering In: 2024 IEEE International Conference on Data Mining Workshops (ICDMW)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:00:12.181076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed1ca7d-4aae-48f3-ac45-33dae213e39a · outbound

This paper cites an unresolved cited work.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:00:12.363491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c45740d2-f05b-427c-ae89-ac84e597d950 · outbound

This paper cites IEEE Transactions on Consumer Electronics (April 2024).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering IEEE Transactions on Consumer Electronics (April 2024)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.349556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2e519ecf-7674-4c77-b8c8-b3a482e9099e · outbound

This paper cites In: 2018 24th International Conference on Au- tomation and Computing (ICAC).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering In: 2018 24th International Conference on Au- tomation and Computing (ICAC)

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.337042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 00fed218-c7bd-43ed-b752-abded5d01e43 · outbound

This paper cites Information Processing and Management 60(5), 103474–103474 (2023).

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering Information Processing and Management 60(5), 103474–103474 (2023)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.324989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f3c1cd1-cd04-4ed8-94d9-f18d3aac615e · outbound

This paper cites In: Gangemi, A., Navigli, R., Vidal, M.E., Hitzler, P., Troncy, R., Hollink, L., Tordai, A., Alam, M.

Detecting and Understanding Hateful Contents in Memes Through Captioning and Visual Question-Answering In: Gangemi, A., Navigli, R., Vidal, M.E., Hitzler, P., Troncy, R., Hollink, L., Tordai, A., Alam, M

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:00:12.312612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.