Pith. sign in

Paper Citation Record · LEDGER

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

As of 11 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 2026-08-11T06:34:44.6726+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
  • metadata mismatch0

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.

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

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.

source=arxiv_source observed=2026-08-10T15:35:36.433473Z digest=sha256:071c439c3a1e1f588bc911c8c9985b321444aa56522e932dd499f886d0ac2e62

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

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:35:37.429244Z

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=arxiv_source observed=2026-08-10T15:35:36.438741Z digest=sha256:42e1ee6685eb985de99de2c9d26b49ac7319624163af511aaf8c743a3cc6584c

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.444579Z digest=sha256:41b12692d4d52c026d36a58eaed274ea299003b18fe3cf53df7505f9d88dca07

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.

source=arxiv_source observed=2026-08-10T15:35:36.450131Z digest=sha256:8a56ff8e558f1419c352c4aa9661ecc3a5e2b0c63592efef755b52fcd9ba59c4

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.455529Z digest=sha256:a36ea5848d3925ce946fc141e5778d69adadae5fd5c504a92115794a61810065

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

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:35:37.056198Z

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=arxiv_source observed=2026-08-10T15:35:36.461141Z digest=sha256:d894487de75107bb73f756043127e54817eedb35b8e117b768da9ef575548b38

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

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

source=arxiv_source observed=2026-08-10T15:35:36.465522Z digest=sha256:244f501b63142f83a4401ac1a87983c94312337692209d792ed9c988938c88ca

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

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=arxiv_source observed=2026-08-10T15:35:36.470439Z digest=sha256:5477cc5e4d68b839e3773358bb254c1b288be5a88726c18e87d321308d12225f

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

This paper cites an unresolved cited work.

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

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:35:37.398038Z

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=arxiv_source observed=2026-08-10T15:35:36.474518Z digest=sha256:50570c618a26ee5abe842c3ac058a11c1798bdf2fc8c283132ea4a2233baf074

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

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

source=arxiv_source observed=2026-08-10T15:35:36.479180Z digest=sha256:cc134057ea048168264a80ddab0752eca4af5f1d6579f89394ca0aea388e0d8e

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

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

source=arxiv_source observed=2026-08-10T15:35:36.484089Z digest=sha256:c36afa8640220e3861296c1039c3e887d06dc47993264638df4cb9a030ac16df

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

This paper cites an unresolved cited work.

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

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:35:37.365986Z

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=arxiv_source observed=2026-08-10T15:35:36.489156Z digest=sha256:592230ea09d3ce308f0364ec9cd171d4d8fc2de185562d67ac32176808fd49b8

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

Resolution
verified exact
doi, observed 2026-08-10T15:35:36.701149Z

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=arxiv_source observed=2026-08-10T15:35:36.493889Z digest=sha256:23170f5231b840d0b4833cdbc1a24d4ce43506df225b5525f73b10013f5e196a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.498568Z digest=sha256:0dd9fd2578e340e984c7130f4e1143871989ce9a003a1021289b405a6e8c80ff

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

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

source=arxiv_source observed=2026-08-10T15:35:36.503559Z digest=sha256:08fae205a8fc15b86b5f8e82de0b1b92ad2b2bdfea15a439bb25dc2a4a73f987

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

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:36.508159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.508159Z digest=sha256:536c3196dcd74cfb681bdea2755280f8d45903c1d99d094c937cd875ffadbe4c

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

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:36.512883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.512883Z digest=sha256:f3fe856daab5e0ffd6906ea739358bddccc1650203ef232e6f011fba843015d5

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T15:35:36.517368Z digest=sha256:15f6cd0184cd97acd0c89aa3cd01027dead1b86e9936b8a53e340cb853390bf2

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

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:36.522462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.522462Z digest=sha256:edd20d76b917d2bcfa4fe8e8b34db3a71b665e127ff99410d0e0b04e23ca472d

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

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:36.527098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.527098Z digest=sha256:6793332dc3a581e2ea9516677b682d063e963d8526379c9f3a35105714ba9f86

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.531774Z digest=sha256:a6ef2d6636038eb6e64805dc0bf41423695a990094c148957d86673f4689880d

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

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=arxiv_source observed=2026-08-10T15:35:36.536629Z digest=sha256:484ae1340d217c4524f2372667ae388f3d92a07108d64779bf719ba910e40d37

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

This paper cites an unresolved cited work.

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

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:35:37.319726Z

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=arxiv_source observed=2026-08-10T15:35:36.541501Z digest=sha256:5d0d910dd22ebe52b8dec745f2ee73361c0e082c1302a0a223f2f4198a44d913

Observation 2712f414-6f1e-487b-8c51-0ec4f8306752 · outbound

This paper cites an unresolved cited work.

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

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:36.546305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.546305Z digest=sha256:a5feb4394756c4cbaff296f335bd21a05b98fc59907d87dcfd020acb8ad09834

Observation f0e3c146-4628-497c-b68e-1314df18335a · outbound

This paper cites an unresolved cited work.

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

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:35:37.292241Z

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=arxiv_source observed=2026-08-10T15:35:36.550874Z digest=sha256:c37dd4e0cfbdcf03942b48920f617dcd3cfc6be5731b367a9ea55beb44265c8d

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

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:36.555692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.555692Z digest=sha256:c21cb3bed19b618237526987f3c7ed232cf73e689eeb3b6853a7d7f314315439

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

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:36.561497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.561497Z digest=sha256:45926606dce8a1e4e8dea4ab3678461ba59a2c8f6434c1a12c372c1076cf018c

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

This paper cites an unresolved cited work.

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

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:36.567025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.567025Z digest=sha256:8b17ba7a8c9c2aebdddfe04d1254100e514747315d862fd31cd61caed8fc797f

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

This paper cites an unresolved cited work.

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

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:35:37.264865Z

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=arxiv_source observed=2026-08-10T15:35:36.571602Z digest=sha256:77289cff69756ed238428d50bbc55a31231da07d1c46587fac6514170cfcda57

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

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:36.576139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.576139Z digest=sha256:d5f30f0787a4c33cca94654bcf87e4df9d79315c46d89f8345442bb95be2553a

Observation cdca8bd5-9d7b-406e-8eaf-302c3524ac74 · outbound

This paper cites an unresolved cited work.

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

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:35:37.247549Z

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=arxiv_source observed=2026-08-10T15:35:36.580874Z digest=sha256:db27903a78719eb40503e00b0fd995e6f2b2df60e52c0879f11cbdbd67efa3fa

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

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:35:36.747410Z

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=arxiv_source observed=2026-08-10T15:35:36.585421Z digest=sha256:f5d7b6071e43b5d79adfeff92bfd43c1edddac0e6f1c03038e85be2249087c18

Observation d395799b-ff2c-496f-aa88-c4a443f14033 · outbound

This paper cites an unresolved cited work.

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

Reference 34

Resolution
verified exact
doi, observed 2026-08-10T15:35:36.668129Z

Source-reported events for the cited work

correction dated 2023-07-31. Source: crossref record 10.1007/978-3-031-33455-9_42->10.1007/978-3-031-33455-9_21:correction, observed 2026-07-11T03:01:07.107578+00:00. This notice travels one citation hop only.

source=arxiv_source observed=2026-08-10T15:35:36.590146Z digest=sha256:fc2b0a675996a0abc9d425e0e90fd9dc276149cea069d0d7ed877bd633f3e2f4

Observation 8fe93e33-4038-4652-97ff-4f3f4704b390 · outbound

This paper cites an unresolved cited work.

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

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:35:37.231554Z

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=arxiv_source observed=2026-08-10T15:35:36.594617Z digest=sha256:df1ab3e72358d1d8697ac4acc1498f0651feaffd1229a2c1177ef5437502a71c

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

This paper cites an unresolved cited work.

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

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:35:37.214870Z

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=arxiv_source observed=2026-08-10T15:35:36.598885Z digest=sha256:bc337f24d5b9ecbee90ec90b249ffd1e8209351bedfd2215ae7f06e1122f2cc3

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

This paper cites an unresolved cited work.

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

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:35:37.198701Z

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=arxiv_source observed=2026-08-10T15:35:36.603218Z digest=sha256:9f58ad5ae51df2fd97eae6e363df32e38a4dc2981ebd0f96a3845f983a4b723f

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

This paper cites an unresolved cited work.

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

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:35:37.183121Z

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=arxiv_source observed=2026-08-10T15:35:36.607333Z digest=sha256:e777684bfa955b97a5d03cf4ca001065d19b542b920457f5809e49b447c9dcb3

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

This paper cites an unresolved cited work.

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

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:36.611541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.611541Z digest=sha256:71ec42a904b30b915395c8aa6185e3a5bd43c4b64add37d919edebf873558d04

Observation 502ea775-ff22-49f0-9d41-34f1516ec2b6 · outbound

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

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

source=arxiv_source observed=2026-08-10T15:35:36.616178Z digest=sha256:14568788ab07fb5eb433fc37cbb92c93a6578e9c64ff87eadf90104482ab3758

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

This paper cites online" 'onlinestring :=.

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

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:36.621235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.621235Z digest=sha256:24c9f2b295bd29895f80f7f88c89811dcc69f4343093ffcfa9d19953b1931047

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

This paper cites write newline.

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

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T15:35:36.626439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:35:36.626439Z digest=sha256:6e6ba81610f6f7e377d72c65538719a84479c6db4a58e4290fa7300e178123ef

Pith citing papers

No inbound Pith citation observations are available.