Paper Citation Record · LEDGER

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective

As of 15 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2506.10161.

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

pith.paper-citation-record.v1
2506.10161 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:38:21.363046Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:05:54.690083Z

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

52 of 52 outbound references displayed

verified exact0
verified fuzzy43
unresolved9
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malformed identifier0
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a4d11ade-3c40-48d4-aed3-91af15368faf · outbound

This paper cites GPT for games: A scoping review (2020-2023),.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective GPT for games: A scoping review (2020-2023),

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:31.830608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3ee54d82-cb0e-4649-b8e4-e21576d914d4 · outbound

This paper cites Large language models and games: A survey and roadmap,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Large language models and games: A survey and roadmap,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:31.597725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b8544b83-3cca-4ad7-94f1-0cc6a4058928 · outbound

This paper cites Language as reality: a co-creative storytelling game experience in 1001 Nights using generative AI,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Language as reality: a co-creative storytelling game experience in 1001 Nights using generative AI,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:31.355672Z

Source-reported events for the cited work

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Observation 619cd843-7673-45c0-a15c-d3fbec7f364e · outbound

This paper cites Playing with unicorns: AI Dungeon and citizen NLP,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Playing with unicorns: AI Dungeon and citizen NLP,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:31.036955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7848c329-ced6-4d2d-995d-5294d24b4cdf · outbound

This paper cites Unmet creativity support needs in computationally supported creative writing,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Unmet creativity support needs in computationally supported creative writing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:30.757920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 920422e1-0023-4503-80ad-9e75226b2a2a · outbound

This paper cites A cognitive process theory of writing,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective A cognitive process theory of writing,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:30.559537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1ba46921-8611-47ba-bdd5-9996cf91f127 · outbound

This paper cites What makes a good story and how can we measure it? A comprehensive survey of story evaluation,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective What makes a good story and how can we measure it? A comprehensive survey of story evaluation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:30.335645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6bf53ed4-b4dd-45be-a96b-5be73970fe47 · outbound

This paper cites ROUGE: A package for automatic evaluation of summaries,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective ROUGE: A package for automatic evaluation of summaries,

Reference 8

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Source-reported events for the cited work

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Observation c0d91aab-172b-47a9-a5b4-cce457c54770 · outbound

This paper cites BERTScore: Evaluating text generation with BERT,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective BERTScore: Evaluating text generation with BERT,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:30.058845Z

Source-reported events for the cited work

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Observation 238cde8a-432e-4517-804a-87413a4aee14 · outbound

This paper cites Art or artifice? Large language models and the false promise of creativity,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Art or artifice? Large language models and the false promise of creativity,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:29.836460Z

Source-reported events for the cited work

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Observation 6e4c2bba-7d30-4ba0-b0c2-f64c4aa11d0b · outbound

This paper cites Computational narratology,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Computational narratology,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:29.550287Z

Source-reported events for the cited work

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Observation aedee772-658e-4d1e-9602-d8a1ca6a580c · outbound

This paper cites The story so far on narrative planning,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective The story so far on narrative planning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:29.195336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ec14e516-d334-4e54-b667-ba9449aec12a · outbound

This paper cites Narrative planning: Balancing plot and character,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Narrative planning: Balancing plot and character,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:28.905387Z

Source-reported events for the cited work

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Observation 2fb8cdbe-1ab3-44e7-98b7-5ab28a9c9a13 · outbound

This paper cites Controlling narrative generation with planning trajectories: the role of constraints,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Controlling narrative generation with planning trajectories: the role of constraints,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:28.648084Z

Source-reported events for the cited work

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Observation 12f12124-3e66-40eb-86d9-4a5f49752d5a · outbound

This paper cites TALE-SPIN, an interactive program that writes stories,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective TALE-SPIN, an interactive program that writes stories,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:28.384819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 67085a06-45ce-44c5-94be-5fb222328125 · outbound

This paper cites A computa- tional model of plan-based narrative conflict at the fabula level,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective A computa- tional model of plan-based narrative conflict at the fabula level,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:28.116457Z

Source-reported events for the cited work

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Observation f7944463-d4ed-48dc-a869-9841d8012aa5 · outbound

This paper cites The stable model semantics for logic programming,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective The stable model semantics for logic programming,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:27.869023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8ffc1efc-1d5b-47e7-a281-898981280781 · outbound

This paper cites A belief-desire-intention model for narrative generation,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective A belief-desire-intention model for narrative generation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:27.604754Z

Source-reported events for the cited work

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Observation e2f7c71b-b1ed-4773-8a87-0f327c1a9c5d · outbound

This paper cites Headspace: incorporating action failure and character beliefs into narrative planning,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Headspace: incorporating action failure and character beliefs into narrative planning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:27.321618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4934d441-31ef-436c-b166-17e4a8eb28d7 · outbound

This paper cites A computational model of narrative generation for surprise arousal,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective A computational model of narrative generation for surprise arousal,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:27.106365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ad96032d-68c9-4907-bafb-5bf0550b72b7 · outbound

This paper cites Indexter: A computational model of the event-indexing situation model for characterizing narratives,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Indexter: A computational model of the event-indexing situation model for characterizing narratives,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:26.807747Z

Source-reported events for the cited work

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Observation fff9ba6f-6b5d-409a-92a4-b618d91f37ec · outbound

This paper cites StoryAssembler: an engine for generating dynamic choice-driven nar- ratives,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective StoryAssembler: an engine for generating dynamic choice-driven nar- ratives,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:26.585820Z

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Observation e4698eb8-1a6e-4b02-b9c1-bd7296c18e99 · outbound

This paper cites Hierarchical Neural Story Generation.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Hierarchical Neural Story Generation

Reference 23

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Source-reported events for the cited work

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Observation d71284a2-421e-4d7a-9efd-684f75e9ec59 · outbound

This paper cites Evaluating story generation systems using automated linguistic analyses,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Evaluating story generation systems using automated linguistic analyses,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:26.386875Z

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Observation 37fd4df6-d067-4478-9d75-85a5ad337847 · outbound

This paper cites Wordcraft: story writing with large language models,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Wordcraft: story writing with large language models,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:26.087476Z

Source-reported events for the cited work

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Observation d3b72591-25bf-4fb2-8f1d-039b252495be · outbound

This paper cites Plan- and-write: Towards better automatic storytelling,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Plan- and-write: Towards better automatic storytelling,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:25.828936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 20bc09d3-7d7e-4631-9d08-9b5f82486ea9 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Generative agents: Interactive simulacra of human behavior,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:25.532872Z

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Observation 5a1d1fba-e202-468f-a622-03d65b44093e · outbound

This paper cites Event representations for automated story generation with deep neural nets,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Event representations for automated story generation with deep neural nets,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:25.360050Z

Source-reported events for the cited work

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Observation 91909aa4-8006-47b0-8cdc-208d1ffe1828 · outbound

This paper cites TattleTale: storytelling with planning and large language models,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective TattleTale: storytelling with planning and large language models,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:25.116976Z

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Observation da2cb818-17c4-4e58-a3be-1a42257170be · outbound

This paper cites There and back again: extracting formal domains for controllable neurosymbolic story authoring,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective There and back again: extracting formal domains for controllable neurosymbolic story authoring,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:24.859335Z

Source-reported events for the cited work

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Observation 1f1b4d41-e2ee-4a3e-b124-2b84998d26c8 · outbound

This paper cites StoryVerse: Towards co-authoring dy- namic plot with LLM-based character simulation via narrative planning,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective StoryVerse: Towards co-authoring dy- namic plot with LLM-based character simulation via narrative planning,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:24.568374Z

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Observation 130ea080-cea4-4fa9-bd1c-fa643ccaf214 · outbound

This paper cites WhatELSE: Shaping narrative spaces at configurable level of abstraction for AI-bridged interactive storytelling,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective WhatELSE: Shaping narrative spaces at configurable level of abstraction for AI-bridged interactive storytelling,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:24.347507Z

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Observation faff71e9-87ec-4f29-b62d-50e0c249200a · outbound

This paper cites Large language models as narrative planning search guides,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Large language models as narrative planning search guides,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:24.020030Z

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Observation baf7522b-3c89-4190-83da-d738df098402 · outbound

This paper cites Are Large Language Models Capable of Generating Human-Level Narratives?.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Are Large Language Models Capable of Generating Human-Level Narratives?

Reference 34

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Source-reported events for the cited work

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Observation a0a977ca-4e53-47c2-934a-6bedadca06a8 · outbound

This paper cites Experimental narratives: A comparison of human crowd- sourced storytelling and AI storytelling,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Experimental narratives: A comparison of human crowd- sourced storytelling and AI storytelling,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:23.833750Z

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Observation a165aaf8-4aaf-4fc0-b3a5-8eda23090c6f · outbound

This paper cites Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T04:38:20.320286Z

Source-reported events for the cited work

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Observation e45afc9f-c148-4b2d-868c-9319b9ea66bd · outbound

This paper cites LLMs Can Plan Only If We Tell Them.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective LLMs Can Plan Only If We Tell Them

Reference 37

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Observation fb1d3949-bc8d-4bda-92b4-a7d4ffe1d5fb · outbound

This paper cites LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:38:20.457911Z

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Observation 86a33522-745d-4177-ac96-7c56fc8571ea · outbound

This paper cites Answer set programming for procedural content generation: A design space approach,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Answer set programming for procedural content generation: A design space approach,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:23.646768Z

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Observation f8617e7a-ef78-4f3f-b0b4-d0c1465b8ba2 · outbound

This paper cites Answer set programming and plan generation,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Answer set programming and plan generation,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T04:38:20.575713Z

Source-reported events for the cited work

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Observation 1d264861-d155-4997-9c7b-61852857d5aa · outbound

This paper cites RoleModel: towards a formal model of dramatic roles for story gener- ation,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective RoleModel: towards a formal model of dramatic roles for story gener- ation,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:23.365519Z

Source-reported events for the cited work

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Observation b369ae9f-3cb7-44de-bbe8-a5c69121a69e · outbound

This paper cites Generating explorable narrative spaces with answer set programming,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Generating explorable narrative spaces with answer set programming,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:23.015671Z

Source-reported events for the cited work

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Observation 450551b8-aad3-4edd-b528-69a4fe96ad38 · outbound

This paper cites Guiding and diversifying LLM-based story generation via answer set programming,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Guiding and diversifying LLM-based story generation via answer set programming,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:22.653606Z

Source-reported events for the cited work

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Observation a661390e-2edc-45e5-9660-c3be6728274f · outbound

This paper cites Action language bc+,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Action language bc+,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:22.406581Z

Source-reported events for the cited work

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Observation a3e7fe1c-ec44-4849-a5d2-947e4cad0999 · outbound

This paper cites Clingo = ASP + Control: Preliminary Report.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Clingo = ASP + Control: Preliminary Report

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:38:20.891594Z

Source-reported events for the cited work

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Observation 63b54998-b9a6-4e63-9940-86319c60690c · outbound

This paper cites Flaw selection strategies for value- directed planning,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Flaw selection strategies for value- directed planning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:22.222627Z

Source-reported events for the cited work

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Observation d4c7f2e0-d6c9-4002-bfa1-97c268db925e · outbound

This paper cites Narrative planning: Compilations to classical planning,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Narrative planning: Compilations to classical planning,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:22.066603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ed132757-a221-4e56-9170-6efe7e6f6967 · outbound

This paper cites Narrative planning: balancing plot and character,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Narrative planning: balancing plot and character,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:21.924505Z

Source-reported events for the cited work

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Observation a5f89e6b-bcec-48fd-9ae1-d4c9ec9005eb · outbound

This paper cites Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T04:38:21.180225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d56d6671-ccc8-43ab-a2cc-4facc1b1d362 · outbound

This paper cites Glaive: a state-space narrative planner supporting intentionality and conflict,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective Glaive: a state-space narrative planner supporting intentionality and conflict,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:21.807591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6a526cc0-7349-415f-a914-055698abd770 · outbound

This paper cites A possible worlds model of belief for state-space narrative planning,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective A possible worlds model of belief for state-space narrative planning,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:21.690254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c2ed288e-4e59-4f89-98b9-464b69c1625a · outbound

This paper cites A formalization of emotional planning for strong-story systems,.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective A formalization of emotional planning for strong-story systems,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:38:21.616870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation 85e86b5a-fb14-4abd-a9e8-12494c57f285 · inbound

The Challenge and Reward of Fair Play in Narrative: A Computational Approach cites this paper.

The Challenge and Reward of Fair Play in Narrative: A Computational Approach Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:17:02.735340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d8127fcb-370e-45c1-b804-57a840575afd · inbound

AI Fiction in the Wild cites this paper.

AI Fiction in the Wild Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective

Reference 208

Resolution: verified exact; arxiv_id, observed 2026-06-26T09:09:15.829705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.