Paper Citation Record · LEDGER

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes

As of 12 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2501.13851.

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

pith.paper-citation-record.v1
2501.13851 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:35:36.626439Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact10
verified fuzzy2
unresolved30
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

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

This paper cites A Template Is All You Meme.

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.

Observation 3b241d85-f6e9-4625-aeae-407d0c5496bd · outbound

This paper cites Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:36.433473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bc4d2ee-1924-4f5e-8a36-076fa90750d2 · outbound

This paper cites an unresolved cited work.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 3

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Source-reported events for the cited work

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Observation 5d087fea-5bdf-4c96-bd26-ace4657c33b5 · outbound

This paper cites Image-text Retrieval: A Survey on Recent Research and Development.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Image-text Retrieval: A Survey on Recent Research and Development

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:36.444579Z

Source-reported events for the cited work

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Observation 8edcf6f6-4877-478c-b556-7ed68f35255c · outbound

This paper cites Figurative Language in Recognizing Textual Entailment.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Figurative Language in Recognizing Textual Entailment

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:36.450131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bafa0ba-7d06-423e-9e1e-75cb3dc87887 · outbound

This paper cites MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:36.455529Z

Source-reported events for the cited work

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Observation ef857f16-c87d-494f-97b5-53572dc20aef · outbound

This paper cites Searching for Structure in Unfalsifiable Claims.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Searching for Structure in Unfalsifiable Claims

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0f1fc793-7c2f-40b6-b325-8d1c8c4e4ede · outbound

This paper cites Prompt, Condition, and Generate: Classification of Unsupported Claims with In-Context Learning.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Prompt, Condition, and Generate: Classification of Unsupported Claims with In-Context Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:35:37.035025Z

Source-reported events for the cited work

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Observation 06691b57-f9a4-4db8-8725-8f95ac20e476 · outbound

This paper cites it gets better.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes it gets better

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:37.414056Z

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Observation 21d54333-815f-4ba7-8db1-056decb1c1ef · outbound

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Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation 9fda4a5f-e14f-4c25-9420-240d1699c2b3 · outbound

This paper cites facebook revolution.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes facebook revolution

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T15:35:37.381726Z

Source-reported events for the cited work

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Observation fa6b0222-9ad6-49c9-9e73-48873089200b · outbound

This paper cites What Makes a Meme a Meme? Identifying Memes for Memetics-Aware Dataset Creation.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes What Makes a Meme a Meme? Identifying Memes for Memetics-Aware Dataset Creation

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:35:37.011577Z

Source-reported events for the cited work

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Observation d7decfac-9b28-4011-a634-a9b071640f23 · outbound

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Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 13

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Observation 3b49a473-6ff7-4531-95be-d6cce81d77fe · outbound

This paper cites an unresolved cited work.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 06a4c226-7133-4288-8065-7fe7f5e0ecd8 · outbound

This paper cites MemeCap: A Dataset for Captioning and Interpreting Memes.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes MemeCap: A Dataset for Captioning and Interpreting Memes

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:36.498568Z

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Observation a1ece673-d8fe-4542-a6d6-6041f60b3074 · outbound

This paper cites an unresolved cited work.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 16

Resolution: verified exact; doi, observed 2026-08-10T15:35:36.684607Z

Source-reported events for the cited work

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Observation 86840941-16c1-4967-bd84-799d3f000c9b · outbound

This paper cites an unresolved cited work.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 17

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Observation 296527fa-b58c-4f26-9eac-9c64d2142d73 · outbound

This paper cites an unresolved cited work.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 18

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Observation 8a232757-7822-47f6-b028-0db544a1bc10 · outbound

This paper cites Fine-tuning CLIP Text Encoders with Two-step Paraphrasing.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Fine-tuning CLIP Text Encoders with Two-step Paraphrasing

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:35:36.858022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3a891e43-4d38-4a7f-9d19-8ad6e658dac4 · outbound

This paper cites an unresolved cited work.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 20

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Unavailable: canonical work link unavailable.

Observation 795c78e2-0092-4646-ba25-51832d19f137 · outbound

This paper cites an unresolved cited work.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 21

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Observation d9234ad8-aa1d-423a-b173-bad554e6f4bc · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T15:35:36.531774Z

Source-reported events for the cited work

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Observation 1157a2c5-39cd-4d4a-9b67-c77935db745c · outbound

This paper cites Decoding Memes: A Comparative Study of Machine Learning Models for Template Identification.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Decoding Memes: A Comparative Study of Machine Learning Models for Template Identification

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:35:36.816513Z

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Observation 16b704a5-68f8-442e-8f2e-6a8de026a424 · outbound

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Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 24

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This paper cites an unresolved cited work.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 25

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This paper cites an unresolved cited work.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 26

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Observation f9048899-852d-4cc3-bdf5-679355ba1561 · outbound

This paper cites Understanding Figurative Meaning through Explainable Visual Entailment.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Understanding Figurative Meaning through Explainable Visual Entailment

Reference 27

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Source-reported events for the cited work

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Observation 94a3cee4-4a81-4a79-811e-da74c29e6ef7 · outbound

This paper cites SemEval-2020 Task 8: Memotion Analysis -- The Visuo-Lingual Metaphor!.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes SemEval-2020 Task 8: Memotion Analysis -- The Visuo-Lingual Metaphor!

Reference 28

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Source-reported events for the cited work

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Observation 901f1ebe-c970-4e1f-aae1-cfbd24ccd7ed · outbound

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Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 29

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Observation 7f623343-4a00-46d5-bdd4-afe52ebee0fb · outbound

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Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 30

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Observation bdfdaded-e5ad-47ed-957f-968b361fec6e · outbound

This paper cites Large Language Models for Data Annotation and Synthesis: A Survey.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Large Language Models for Data Annotation and Synthesis: A Survey

Reference 31

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Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 32

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Observation 94535130-7ee8-4bb0-8129-1cbfea8298f2 · outbound

This paper cites Dank Learning: Generating Memes Using Deep Neural Networks.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Dank Learning: Generating Memes Using Deep Neural Networks

Reference 33

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Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

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Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 35

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Observation 2f8fbd47-75df-4234-94f5-8f3ca36b72fb · outbound

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Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 36

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Observation 2e653e84-fe0a-48c4-8e40-a53e05cc1a95 · outbound

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Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 37

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Observation bdd08bce-475f-41f8-a8fc-50af1773cade · outbound

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Observation 041925ee-fd5d-4d58-aaa1-49a63130c878 · outbound

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Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Unresolved cited work

Reference 39

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Source-reported events for the cited work

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This paper cites Social Meme-ing: Measuring Linguistic Variation in Memes.

Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes Social Meme-ing: Measuring Linguistic Variation in Memes

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-10T15:35:36.724627Z

Source-reported events for the cited work

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Observation b4d76995-ba39-4e35-82e4-2e12931ffced · outbound

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Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes online" 'onlinestring :=

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Source-reported events for the cited work

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Observation d072b0c5-f1cf-45a4-b70a-a21899a40ab9 · outbound

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Large Vision-Language Models for Knowledge-Grounded Data Annotation of Memes write newline

Reference 42

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Pith citing papers

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