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Paper Citation Record · LEDGER

How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2209.01390.

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

pith.paper-citation-record.v1
2209.01390 v1

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 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:46:57.708282Z

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

93
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 ff51c92d-bc5d-444b-ba91-239f3fb12c6c · inbound

MoGraphGPT: Creating Interactive Scenes Using Modular LLM and Graphical Control cites this paper.

MoGraphGPT: Creating Interactive Scenes Using Modular LLM and Graphical Control How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T20:46:57.708282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:46:57.708282Z digest=sha256:5628a0633a3196125382f9d4618e1533e7a9b015dc406f504e752a0534fb09f9

Observation 368a42fa-3ddc-4d53-8277-36d215b7ef90 · inbound

Workflow-Based Evaluation of Music Generation Systems cites this paper.

Workflow-Based Evaluation of Music Generation Systems How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:03.297711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:46:03.297711Z digest=sha256:25c05a5c571f42e344a5965be485366dac74ddf3d36534bcee7ad7cd2bf9da17

Observation 89c6d3d7-b44c-4f22-804e-a89e2416cdd1 · inbound

Prompt Orchestration Markup Language cites this paper.

Prompt Orchestration Markup Language How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T18:53:45.376533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:53:45.376533Z digest=sha256:f699d960528a22f47072970170cb9952ee038c987082c51b6719fd2b02a782eb

Observation 1f4a0630-487b-4136-bfe5-133cce6f4e56 · inbound

Rewriting Video: Text-Driven Reauthoring of Video Footage cites this paper.

Rewriting Video: Text-Driven Reauthoring of Video Footage How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:08:02.130924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T15:04:59.050484Z digest=sha256:405feae155b1709d5734a86cce8e43cc956ec2155bd0693b51a99ae64ccdb077

Observation db27a912-dbbb-4153-a57f-c488b173f1bc · inbound

"If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace cites this paper.

"If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:27:36.471089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T08:26:10.337475Z digest=sha256:e0d54581590984a8fa6b20f7579dbf592ad1812e1b5bce8c32d161b655bc3e5a

Observation f0f833db-52d2-4f98-bacb-5b4998515f49 · inbound

Exploring Instant Photography using Generative AI: A Design Probe with the UnReality Camera cites this paper.

Exploring Instant Photography using Generative AI: A Design Probe with the UnReality Camera How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-08T19:24:05.711126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T18:34:47.033459Z digest=sha256:d7225f55fddca04e88a5c72357e6c37c8f4f52b80d257f01d2ee9eede8b44c73

Observation a90ca917-2a1f-4d4e-83ca-7220b6894de4 · inbound

Can LLM Code Explanations Adapt to Diverse Problem-Solvers' Needs? cites this paper.

Can LLM Code Explanations Adapt to Diverse Problem-Solvers' Needs? How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-01T19:20:30.345314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:20:30.345314Z digest=sha256:70a848bd61a2d32908a5368d55cdd6d0848595328cd2a6f41d815a017d2c1ad5