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Paper Citation Record · LEDGER

Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2209.06293.

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

pith.paper-citation-record.v1
2209.06293 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:32:07.406001Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:15:45.680195Z

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 1b9182b4-85f9-47a6-bd3a-60b8c822dab8 · inbound

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? cites this paper.

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:55:40.952133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T21:55:40.808698Z digest=sha256:5f6683834ef40809c710b9a66fbbdfffac7928a43f91f983efe0eff3d45c30ab

Observation 79f96e48-39b6-42b3-b64e-46216439593a · inbound

Gemma 3 Technical Report cites this paper.

Gemma 3 Technical Report Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:22:12.312609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T22:18:55.976503Z digest=sha256:e55cd82f5c85dfd4a3ce779ea9c39087e301039c10243d21428a6eeefeb90b37

Observation 5d8ce1ed-9b3e-4a1a-b565-7b8c9039a1ce · inbound

MINT: Multimodal Instruction Tuning with Multimodal Interaction Grouping cites this paper.

MINT: Multimodal Instruction Tuning with Multimodal Interaction Grouping Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:07.406001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:32:07.406001Z digest=sha256:a08726100172f23c6fbb3c68bfb687489be178a1805be5ee1aa7e22962edd157

Observation 44f0dfbf-bdb7-4f17-ad22-ed6b482f64a9 · inbound

Not All Flips Are Conformity: Decomposing Stance Convergence in Multi-Agent LLM Debate cites this paper.

Not All Flips Are Conformity: Decomposing Stance Convergence in Multi-Agent LLM Debate Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:52:35.926909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T18:46:50.409655Z digest=sha256:a29ff3a03d6a6ab9ab045a42550a743c0b3165c11f990ee30be11c2c393bf97a

Observation dc49b000-80fa-4037-9137-63a5f79c69f5 · inbound

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

Formalizing Latent Thoughts: Four Axioms of Thought Representation in LLMs Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:15:45.681761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T23:50:48.584391Z digest=sha256:31733d800b5306156d72c0936f550bfb4d140d3bead01de8371771a531808211

Observation 3683b842-a2e8-4a5d-8c60-6c2eec09d6cc · inbound

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation cites this paper.

Anamnesis: An Open-Source Platform for Large-Scale Backstory-Conditioned Survey Simulation Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-14T10:22:25.722701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T10:22:25.722701Z digest=sha256:f824fb72e86c61b46f02779a804937d6c7167a0be18a4d64ffa2c24baec9851d

Observation 99ea6738-f4e6-496f-acf4-7ed54e17abe5 · inbound

Reasoning or Memorization: Can LLMs Understand and Generate Chinese Xiehouyu Riddles? cites this paper.

Reasoning or Memorization: Can LLMs Understand and Generate Chinese Xiehouyu Riddles? Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-30T22:05:19.818451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T22:05:19.818451Z digest=sha256:5f64b4435be4a8802495f7e03958e7a85927b74e887c6f473fecf2e28963d79b