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Paper Citation Record · LEDGER

A Template Is All You Meme

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.06649.

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

pith.paper-citation-record.v1
2311.06649 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:35:36.427495Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T23:48:39.103159Z

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 4c127ca1-86e8-4168-9054-f982673d8a4c · 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 A Template Is All You Meme

Reference 250

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:48:39.109026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T23:48:35.199627Z digest=sha256:8974087b1935ea4098fca9b6d505b7f4bcb2080becdb29f570e515a67b86a30e

Observation 5bd1fd90-62a5-4959-92dc-7fd9464f48cf · inbound

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes cites this paper.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes A Template Is All You Meme

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:36.427495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.427495Z digest=sha256:a1770bc796f361fd39c052666154e409d310d1634100309e22edc8cd711ce266