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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 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:44:34.151040Z

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 f00e0919-7db7-4933-a350-3894bebefd49 · inbound

Can Large Language Models Reason about the Region Connection Calculus? cites this paper.

Can Large Language Models Reason about the Region Connection Calculus? How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

Reference 17

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unresolved
no resolver link, observed 2026-08-12T06:06:07.570718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T06:06:07.570718Z digest=sha256:cdf94c5011f1f8f69e24faac82757c39f411685f43d9344a2f5d3ec3f8df99fc

Reference 198

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unresolved
no resolver link, observed 2026-08-11T16:00:18.251198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:00:18.251198Z digest=sha256:7b6bbe9b0ab396f5e5e746cb71a9843a5f11558a44e390e34f0754007f87d92f

Observation ac6d4ef9-1ce8-47f1-9a0c-ce8fd917b5c9 · inbound

An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts cites this paper.

An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T17:14:06.540154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:14:06.540154Z digest=sha256:2fa455cf42041ba88baa38fc0df0a52b06f82fb00ecfebf231167f932783c69c

Observation 06892373-b0fa-4ad4-a55c-9f9c3aeb5720 · inbound

Generative AI as a Playful yet Offensive Tourist: Exploring Tensions Between Playful Features and Citizen Concerns in Designing Urban Play cites this paper.

Generative AI as a Playful yet Offensive Tourist: Exploring Tensions Between Playful Features and Citizen Concerns in Designing Urban Play How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

Reference 23

Resolution
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no resolver link, observed 2026-08-10T12:43:20.310571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T12:43:20.310571Z digest=sha256:2775ad4dec7b0ca33c6ca29eb4df7cd9012c784bc986fbb22cb5df87ac6e35ac

Observation 222f77d4-4d3d-4562-aefb-39f8b849f141 · inbound

Beyond Turn-taking: Introducing Text-based Overlap into Human-LLM Interactions cites this paper.

Beyond Turn-taking: Introducing Text-based Overlap into Human-LLM Interactions 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 2026-08-10T00:42:24.714932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:42:24.714932Z digest=sha256:a28ced1c4fda19f3d4704ab71365117068f8b58bdf173dc9a603429e03c6a233

Observation 8b31b3c1-7a01-47ea-ae2c-bfc97e673630 · inbound

Assessment of ChatGPT for Engineering Statics Analysis cites this paper.

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

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T18:34:41.117336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:34:41.117336Z digest=sha256:edafb470b79ec9066403655145d692697c98f08459739bd97c443377eb3c3365

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
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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=sha256:0c7f42267ca053f8cb26960911d0fa45d282a51d9342f4316eefdde1d523bcc0

Observation dcb60aaa-1c6a-4ea5-ab83-77d57884c782 · inbound

Steering Semantic Data Processing With DocWrangler cites this paper.

Steering Semantic Data Processing With DocWrangler 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 2026-08-16T11:44:34.151040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:44:34.151040Z digest=sha256:bff5f4b8bef292a300d17dbbc587c0360938bff2f3c7fd61c8d292e4e36ff7c0

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=sha256:3493f8acb6c8add7b57b679555235eccb737b344a3599032aa0aebddd24c1ced

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=sha256:65d2b50568ff4376edd6eb4e06d7f3006e5442f912e9c75ecd14b7b38eb8aedb

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T15:04:59.050484Z digest=sha256:a17a3c857931ed03a57c2b3264504b2eced13d577a54ff871de34d0f448233f0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T08:26:10.337475Z digest=sha256:f76dfeeed3965c77625fc88723c5fd2c88fd9829c5273843a85e6fd03e1f0652

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T18:34:47.033459Z digest=sha256:7d1ca3dd2228c055488fab92ce801bf7a13f6ffa0afe315f100819c74cd55a28

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:cba1ca525b8aff36f6b894528a7a8d742917725469e1bc8a66e011f569fb78ce

Observation eed0d51a-42ff-4fc8-9747-c1c4c3b64b6a · inbound

LEGOUI: Designing with UI-DSL Bricks to Balance Transparency and Controllability cites this paper.

LEGOUI: Designing with UI-DSL Bricks to Balance Transparency and Controllability How to Prompt? Opportunities and Challenges of Zero- and Few-Shot Learning for Human-AI Interaction in Creative Applications of Generative Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T14:45:20.422423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:45:20.422423Z digest=sha256:2aec9c1ff88789dd3a635368770ceb01ee276767ef07e307ee001c0714474e79