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Paper Citation Record · LEDGER

Detecting Harmful Memes and Their Targets

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2110.00413.

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

pith.paper-citation-record.v1
2110.00413 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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:44:02.915248Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 78f69248-cc3b-47e8-b5e5-9ed4e1da02c9 · 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 Harmful Memes and Their Targets

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:48:39.038629Z

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.

source=pdf_text observed=2026-05-23T23:48:35.199627Z digest=sha256:2a7c0fccbd00b3e7ba70cea1e80efa8374caa8a6d1fdd5ba8827dc8e105b94c1

Observation f18dcbb1-d50d-4e60-aa49-9a8b1ef45865 · inbound

Towards a Robust Framework for Multimodal Hate Detection: A Study on Video vs. Image-based Content cites this paper.

Towards a Robust Framework for Multimodal Hate Detection: A Study on Video vs. Image-based Content Detecting Harmful Memes and Their Targets

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T13:44:02.915248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:44:02.915248Z digest=sha256:13c68ffb8e158d9916717ca160fffe3506a9ea581ce2d7b658318ddbdd51c9d2

Observation eb762524-9225-4c80-b7e1-51882de27012 · 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 Harmful Memes and Their Targets

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T18:56:56.879124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:56:56.879124Z digest=sha256:f81840ef6d0540686aea4077c66acf93cb688c745cf1d84e061c03b28fa88b03

Observation d7ea426d-039e-4f52-b5be-77b49b6c13f4 · inbound

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

Unpacking Hateful Memes: Presupposed Context and False Claims Detecting Harmful Memes and Their Targets

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T10:26:22.390083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:26:22.390083Z digest=sha256:4d77d8ececbd3256e089b231b520f64c44ab0c5176995d91e11e9175722629cf

Observation 67e2d9a7-3339-4fda-b041-8107327f63fe · inbound

When Jokes Cross the Line: Analyzing Regular Humor and Dark Humor in YouTube Shorts cites this paper.

When Jokes Cross the Line: Analyzing Regular Humor and Dark Humor in YouTube Shorts Detecting Harmful Memes and Their Targets

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:45:28.859419Z

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.

source=pdf_text observed=2026-07-01T07:36:53.225202Z digest=sha256:b6f26b59a42f0b62c716349eae7c84ed8b1e2a57a3937a2e7c3df3896538d9d4

Observation 81ac47b7-2c73-49ea-b0b8-6cf9f52a77ef · 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 Detecting Harmful Memes and Their Targets

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-01T23:25:46.370051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:25:46.370051Z digest=sha256:317e390dfab2cd42e9ff4ef498e193971da2ba927a3dc8a92170f406adeda596