Paper Citation Record · LEDGER

Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.10522.

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

pith.paper-citation-record.v1
2406.10522 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:48:09.697591Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d3eed4a8-ee89-444e-8fcc-6459b76ec129 · inbound

Gemma 3 Technical Report cites this paper.

Gemma 3 Technical Report Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:22:12.328264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b202ac87-475a-49a2-a998-8a4f9e111b8b · inbound

Which LLMs Get the Joke? Probing Non-STEM Reasoning Abilities with HumorBench cites this paper.

Which LLMs Get the Joke? Probing Non-STEM Reasoning Abilities with HumorBench Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T12:48:09.697591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04ddb294-a094-4af7-a534-1b0ef7500b9a · inbound

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media cites this paper.

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning

Reference 196

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:08:20.782206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ef45cc99-4679-4bde-b321-e785fe4160e5 · inbound

Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs cites this paper.

Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:15:45.669795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.