Paper Citation Record · LEDGER

Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2012.07788.

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

pith.paper-citation-record.v1
2012.07788 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:48:37.980882Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:16:47.299121Z

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 da0ab0d2-f255-4cbc-8395-5426f7f05a09 · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:35:21.286005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 733df596-ae28-40e4-804f-c4d2f761e513 · 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 Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes

Reference 178

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:48:39.027888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f4cc38a-cf19-41bf-a61b-5945eb4272ea · 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 Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T05:48:37.980882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7be66109-dcdd-445f-b6b1-711311f5b4c9 · 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 Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T18:56:56.873208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0d41cb7-ebcc-4f26-a56e-21c151ad507c · inbound

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

Unpacking Hateful Memes: Presupposed Context and False Claims Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T10:26:22.184124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4b695ed-d66d-45dd-9bb7-68ad94d1a1f1 · inbound

Fall into a Pit, Gain in a Wit: Cognitive-Guided Harmful Meme Detection via Misjudgment Risk Pattern Retrieval cites this paper.

Fall into a Pit, Gain in a Wit: Cognitive-Guided Harmful Meme Detection via Misjudgment Risk Pattern Retrieval Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:42:30.117500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba4710fd-8f2b-40ac-b55f-384a7e17e3ca · inbound

I Know What You Meme, Even If it Emerged Today: Understanding Evolving Memes through Open-World Knowledge Acquisition cites this paper.

I Know What You Meme, Even If it Emerged Today: Understanding Evolving Memes through Open-World Knowledge Acquisition Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:16:47.300682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e4bf81a2-202b-4d37-8169-9c3ed58645c3 · inbound

Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes cites this paper.

Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes Vilio: State-of-the-art Visio-Linguistic Models applied to Hateful Memes

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-01T23:25:52.640038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.