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Paper Citation Record · LEDGER

UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1904.06618.

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

pith.paper-citation-record.v1
1904.06618 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:28:11.299183Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:17:48.884863Z

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 a5224dd0-3e7d-440f-9faa-aaafb862ed71 · inbound

StandUp4AI: A New Multilingual Dataset for Humor Detection in Stand-up Comedy Videos cites this paper.

StandUp4AI: A New Multilingual Dataset for Humor Detection in Stand-up Comedy Videos UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:11.299183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:11.299183Z digest=sha256:d925a7d3224214ab230e93d4e7b960065b4caa0156ae6b198af92208a3c764a0

Observation c7ac0c3c-ab6a-4d69-8447-200c95f06dec · inbound

Efficient Quantification of Multimodal Interaction at Sample Level cites this paper.

Efficient Quantification of Multimodal Interaction at Sample Level UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T05:52:32.244311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:52:32.244311Z digest=sha256:ffc15a3d2ff85a88e5f5ce97cb7c1d20bd92c5f5bd1b967ad5c0a357e2bcc305

Observation 0855267a-b265-4c1c-838b-74924086cff2 · inbound

Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting cites this paper.

Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T05:02:24.443408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:02:24.443408Z digest=sha256:565434af5cafb70284129e159c8ccd6f033f6fefd7723794e237eebcecd72b9f

Observation bbc70ecc-699a-415b-932c-e338470d9358 · inbound

The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment cites this paper.

The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:04:03.288291Z

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=2026-05-17T05:03:49.279871Z digest=sha256:cfdf5ea00313140db7c532e40ff93bce9833d6de94a5e143f08c3fca3ffbf737

Observation 5e63f527-fb77-4d21-a071-22c883e8a79f · inbound

Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective cites this paper.

Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

Reference 171

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:51:03.173555Z

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=2026-05-10T04:32:29.428080Z digest=sha256:060a232e535570ab1c51c33163bc3710796b3e1963aa954d6723861caa73cfd2

Observation a37abf21-d9cc-4b37-9916-0dad22b8afcb · inbound

MultiLinguahah : A New Unsupervised Multilingual Acoustic Laughter Segmentation Method cites this paper.

MultiLinguahah : A New Unsupervised Multilingual Acoustic Laughter Segmentation Method UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:01:12.220297Z

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=2026-05-08T10:26:42.297284Z digest=sha256:0f61e80d262374535edd41f8e3b0fc492d335f2bd5590cdcae9a98b64f0a6f63

Observation e01196dd-d9d8-40f8-9a6c-8c4e5be4bbb5 · inbound

MultiLinguahah : A New Unsupervised Multilingual Acoustic Laughter Segmentation Method cites this paper.

MultiLinguahah : A New Unsupervised Multilingual Acoustic Laughter Segmentation Method UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:17:58.509644Z

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=2026-05-14T21:17:54.058334Z digest=sha256:0c38d5fb21418bf3c948c4a07f090531a9464a99d3737fdd39833989d72d0d16

Observation cb12535a-5f4f-433b-8364-08f8dcb7ee50 · inbound

Information-Theoretic Decomposition for Multimodal Interaction Learning cites this paper.

Information-Theoretic Decomposition for Multimodal Interaction Learning UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-03T09:17:48.886686Z

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=2026-06-27T10:25:02.384395Z digest=sha256:6603eb4997c8c2a12e275306580c7c693f24079cb09cb8f76a477dc197aa19e0