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Paper Citation Record · LEDGER

MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.14703.

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

pith.paper-citation-record.v1
2409.14703 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:48.124826Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:48:30.749580Z

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 c61af2b0-a85f-43ed-9e3a-39e48e069516 · inbound

MIMIC: Multimodal Islamophobic Meme Identification and Classification cites this paper.

MIMIC: Multimodal Islamophobic Meme Identification and Classification MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T05:10:10.376716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:10.376716Z digest=sha256:d874f69b70b3f9050de1d3e5ce813c60b96823de93cee5620d311abab3ef89d8

Observation e3cd163f-81e2-4766-b2d1-9a3b9ea7154c · inbound

CoinCLIP: A Multimodal Framework for Assessing Viability in Web3 Memecoins cites this paper.

CoinCLIP: A Multimodal Framework for Assessing Viability in Web3 Memecoins MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T18:44:14.402680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:44:14.402680Z digest=sha256:1e49e1b926a41d9cb53926b6e384964bde07bbf3a45b0a876f38cc5cc6526f2f

Observation 4002cfa5-72d8-4497-861c-17f7a8907241 · inbound

Media Content Atlas: A Pipeline to Explore and Investigate Multidimensional Media Space using Multimodal LLMs cites this paper.

Media Content Atlas: A Pipeline to Explore and Investigate Multidimensional Media Space using Multimodal LLMs MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T11:09:48.124826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:09:48.124826Z digest=sha256:c43fb1cb69c80b96056ce1acd61a6221d9f49c4d53ea8cc8989bc3d98724f9c2

Observation bd97a90a-35d1-4a8a-a115-2711ff9b212a · inbound

On VLMs for Diverse Tasks in Multimodal Meme Classification cites this paper.

On VLMs for Diverse Tasks in Multimodal Meme Classification MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:48:30.926833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-07T13:48:27.934731Z digest=sha256:d5bc53575af5dd3d878ce7bda71229d669504f1c4b2a44d42b29c0a01e2c1ab1

Observation 1dd2b970-a63d-4537-a686-6de010c28d04 · inbound

Computational Humor with Multimodal LLMs: Methods, Datasets, Evaluation, and Challenges cites this paper.

Computational Humor with Multimodal LLMs: Methods, Datasets, Evaluation, and Challenges MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T15:37:54.855100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:37:54.855100Z digest=sha256:2af285673e257dabf191378e9327b02c044c4e4ac3395798560b1d4ad1af0ebc