Paper Citation Record · LEDGER

Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2012.12975.

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

pith.paper-citation-record.v1
2012.12975 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:48:41.089765Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T23:48:38.947294Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c061bb65-def9-445c-a442-332656a5e530 · inbound

Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities cites this paper.

Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge

Reference 181

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:48:38.952584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 210bc676-e90b-402b-832c-5cf59d46e494 · inbound

Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing cites this paper.

Representation Decomposition for Learning Similarity and Contrastness Across Modalities for Affective Computing Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T05:48:41.089765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ad5ebdf-5219-424c-b672-3cc2eb5ce02f · inbound

MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection cites this paper.

MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T18:56:56.926744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55253a19-beb1-447f-a3eb-99714ece31f6 · inbound

Unpacking Hateful Memes: Presupposed Context and False Claims cites this paper.

Unpacking Hateful Memes: Presupposed Context and False Claims Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T10:26:22.980793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 223ec36b-ae6f-4a24-9bb3-a768cdb4fd46 · inbound

MemeScouts@LT-EDI 2026: Asking the Right Questions -- Prompted Weak Supervision for Meme Hate Speech Detection cites this paper.

MemeScouts@LT-EDI 2026: Asking the Right Questions -- Prompted Weak Supervision for Meme Hate Speech Detection Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:56:36.198224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 238f4cff-a19f-4d4d-8058-1c70380532c1 · inbound

RMS@CC-MMD 2026: Multimodal Misogyny Detection via Geometric Interaction and Multi-View Consensus cites this paper.

RMS@CC-MMD 2026: Multimodal Misogyny Detection via Geometric Interaction and Multi-View Consensus Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T15:47:46.561434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.