pith. sign in

arXiv preprint arXiv:2408.14622 , year =

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

fields

cs.CL 2 cs.AI 1

years

2026 3

verdicts

UNVERDICTED 3

representative citing papers

AI Fiction in the Wild

cs.CL · 2026-06-22 · unverdicted · novelty 7.0

Analysis of 500k ChatGPT logs shows over one-third of conversations generate fiction, dominated by power users with repetitive and niche patterns.

NARRA-Gym for Evaluating Interactive Narrative Agents

cs.CL · 2026-05-08 · unverdicted · novelty 7.0

NARRA-Gym is an executable benchmark that generates complete interactive narrative episodes from emotional seeds and logs full model trajectories to expose gaps in coherence, adaptation, and personalization that static story tests miss.

citing papers explorer

Showing 3 of 3 citing papers.

  • AI Fiction in the Wild cs.CL · 2026-06-22 · unverdicted · none · ref 139

    Analysis of 500k ChatGPT logs shows over one-third of conversations generate fiction, dominated by power users with repetitive and niche patterns.

  • NARRA-Gym for Evaluating Interactive Narrative Agents cs.CL · 2026-05-08 · unverdicted · none · ref 12

    NARRA-Gym is an executable benchmark that generates complete interactive narrative episodes from emotional seeds and logs full model trajectories to expose gaps in coherence, adaptation, and personalization that static story tests miss.

  • Improving Collaborative Storytelling with a Multi-Agent Framework Based on Large Language Models cs.AI · 2026-05-28 · unverdicted · none · ref 38

    An iterative writer-editor multi-agent LLM process improves perceived story quality in simulations of child collaborative storytelling.