Paper Citation Record · LEDGER

GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.01523.

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

pith.paper-citation-record.v1
2401.01523 v4

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 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:23.117182Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T23:48:39.144244Z

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 551aa434-a4bd-4c31-920c-847085e851dd · 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 GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:48:39.148329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bfc50c65-4f3a-4f58-b675-dd7b29a49c81 · inbound

ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs cites this paper.

ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:23.117182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86275d51-895f-44cd-a7d1-478b6a91badc · inbound

MDIT-Bench: Evaluating the Dual-Implicit Toxicity in Large Multimodal Models cites this paper.

MDIT-Bench: Evaluating the Dual-Implicit Toxicity in Large Multimodal Models GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:06:33.442709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ac6af73-03cb-4d67-afff-1e795d3bd778 · inbound

MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models cites this paper.

MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:24.026407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a707ee9-00d6-4970-a3c2-35751f12fba4 · inbound

Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across Modalities cites this paper.

Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across Modalities GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T17:21:35.246231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9514bdeb-4aec-4ed5-82c0-62cea09ab4e5 · inbound

STEMTOX: From Collaborative Tags to Fine-Grained Toxic Meme Detection via Entropy-Guided Multi-Task Learning cites this paper.

STEMTOX: From Collaborative Tags to Fine-Grained Toxic Meme Detection via Entropy-Guided Multi-Task Learning GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T00:51:46.508941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.