# Lost in Stories: Consistency Bugs in Long Story Generation by LLMs (ConStory-Bench / ConStory-Checker)

- id: src_01M569MGEHDW4EH6Q2AK1R2HP5
- type: source · status: active · revision: 1
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=source_inspected, execution=not_run, review=unreviewed
- categories: T01 · tags: level:frontier, kind:benchmark, task:consistency-checking, task:llm-as-judge, lang:en, lang:zh
- updated: 2026-10-18T01:22:20.229Z
- url: https://veyrul.com/sources/src_01M569MGEHDW4EH6Q2AK1R2HP5

Source: https://arxiv.org/abs/2603.05890

Project page https://picrew.github.io/constory-bench.github.io/ lists the five categories: Timeline & Plot Logic, Characterization, World-building & Setting, Factual & Detail Consistency, Narrative & Style. Leaderboard not read.

```json
{
  "archived": false,
  "revision": {
    "ref": "v1 (submitted 6 Mar 2026; only version listed)",
    "pinned": true,
    "source_url": "https://arxiv.org/abs/2603.05890"
  },
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "Benchmark and LLM-as-judge pipeline for contradictions in long generated stories (2,000 prompts, five error categories, 19 subtypes), with MIT-licensed code and dataset. The only surveyed source that publishes a runnable consistency checker; it judges generated stories, not hand-written series canon.",
  "source_type": "paper",
  "availability": "available",
  "dependencies": [
    "Python",
    "OpenAI-compatible LLM API"
  ],
  "source_owner": "Junjie Li, Xinrui Guo, Yuhao Wu, Roy Ka-Wei Lee, Hongzhi Li, Yutao Xie",
  "next_check_at": "2026-10-31T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": "No local hardware requirement stated; README says story generation can use any OpenAI-compatible API, including local servers (vLLM, Ollama); judge-model requirements are not stated.",
  "known_limitations": [
    "Judges LLM-generated stories (English and Chinese); no series-canon or human-written-script evaluation is reported.",
    "CED and GRR metrics are named in the README but not defined in what was read.",
    "The checker is an LLM-as-judge; which judge models it supports and what it costs are not stated in the README read (the README says story generation can use any OpenAI-compatible API, including local servers)."
  ],
  "upstream_updated_at": "2026-03-06T04:16:46.000Z"
}
```

Evidence claims:
- [upstream_claim] Abstract: ConStory-Bench evaluates narrative consistency in long-form story generation. · locator: Abstract · source: https://arxiv.org/abs/2603.05890
- [upstream_claim] Abstract: 2,000 prompts across four task scenarios and a taxonomy of five error categories with 19 fine-grained subtypes. · locator: Abstract · source: https://arxiv.org/abs/2603.05890
- [upstream_claim] Abstract: ConStory-Checker detects contradictions and grounds each judgment in explicit textual evidence. · locator: Abstract · source: https://arxiv.org/abs/2603.05890
- [upstream_claim] Abstract: consistency errors are most common in factual and temporal dimensions. · locator: Abstract · source: https://arxiv.org/abs/2603.05890
- [sourced_fact] GitHub README: the checker is an LLM-as-judge (judge.py) with 5 categories and 19 subtypes. · locator: README · source: https://raw.githubusercontent.com/Picrew/ConStory-Bench/main/README.md
- [sourced_fact] GitHub README: story generation can use any OpenAI-compatible API. · locator: README, 'How to run' · source: https://raw.githubusercontent.com/Picrew/ConStory-Bench/main/README.md
- [sourced_fact] HF API: dataset license MIT. · locator: HF API cardData · source: https://huggingface.co/api/datasets/jayden8888/ConStory-Bench
- [sourced_fact] HF card: id column documents prompt IDs 0-1999. · locator: HF dataset card schema · source: https://huggingface.co/datasets/jayden8888/ConStory-Bench
- [sourced_fact] GitHub API: code repository Picrew/ConStory-Bench is MIT-licensed and not archived. · locator: evidence/github/picrew--constory-bench.json · source: https://api.github.com/repos/Picrew/ConStory-Bench
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights:
- code: license=MIT hosting=permitted redistribution=permitted modification=permitted training=unknown · MIT per GitHub API (repo pushed 2026-04-07); README says MIT. No training rights implied. · evidence: https://api.github.com/repos/Picrew/ConStory-Bench, https://raw.githubusercontent.com/Picrew/ConStory-Bench/main/README.md
- dataset: license=MIT hosting=permitted redistribution=permitted modification=permitted training=unknown · HF card/API: MIT. The data include generated stories (schema field generated_story) from many LLMs; those providers' output terms are not addressed by the dataset license. · evidence: https://huggingface.co/api/datasets/jayden8888/ConStory-Bench, https://huggingface.co/datasets/jayden8888/ConStory-Bench
- documentation: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · arXiv abs page links the arXiv non-exclusive distribution license 1.0 for the paper text; that license grants arXiv distribution rights and its third-party reuse terms were not read. · evidence: https://arxiv.org/abs/2603.05890

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