Paper Citation Record · LEDGER

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models

As of 15 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.12666.

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

pith.paper-citation-record.v1
2507.12666 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:47:25.181509Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact1
verified fuzzy18
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8be4dd52-b55f-4d19-8b79-a125121762d3 · outbound

This paper cites Deep reinforcement learning at the edge of the statistical precipice.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Deep reinforcement learning at the edge of the statistical precipice

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:28.582241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cab5262a-dbf4-45ff-bd75-af2aeed211bd · outbound

This paper cites The I nk S plotch E ffect: A case study on ChatGPT as a co-creative game designer.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models The I nk S plotch E ffect: A case study on ChatGPT as a co-creative game designer

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:28.440178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation efe3c378-84c2-4596-93b7-8dd60da6e8f3 · outbound

This paper cites Dota 2 with Large Scale Deep Reinforcement Learning.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Dota 2 with Large Scale Deep Reinforcement Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:23.007820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2e3eb37-cd9d-4fe5-9610-328f71a18576 · outbound

This paper cites Playing F lappy B ird based on motion recognition using a transformer model and LIDAR sensor.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Playing F lappy B ird based on motion recognition using a transformer model and LIDAR sensor

Reference 4

Resolution: verified exact; doi, observed 2026-08-06T16:47:25.418686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8e469dfb-37f8-49a1-a6a5-dc0a2be3dae6 · outbound

This paper cites Adversarial reinforcement learning for procedural content generation.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Adversarial reinforcement learning for procedural content generation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:28.310086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b1b3a1ad-4929-4d36-a34f-fa75294232ae · outbound

This paper cites Mastering diverse control tasks through world models.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Mastering diverse control tasks through world models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:23.346837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76761cd2-2112-4b5c-91af-41e6d8f7e70d · outbound

This paper cites Gen2Sim : Scaling up robot learning in simulation with generative models.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Gen2Sim : Scaling up robot learning in simulation with generative models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:28.160197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b538b68-29d6-4ed4-9463-73b8149d6791 · outbound

This paper cites PCGRL : Procedural content generation via reinforcement learning.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models PCGRL : Procedural content generation via reinforcement learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:28.041064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ab8eae8f-3740-4a5a-9df8-743371bebefb · outbound

This paper cites Reward design with language models.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Reward design with language models

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:27.918136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 87fc441e-0cfc-4dbe-84b1-1d9eceffec97 · outbound

This paper cites Eureka: Human-level reward design via coding large language models.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Eureka: Human-level reward design via coding large language models

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:27.718318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e931b437-312a-49a0-9996-6778873a959c · outbound

This paper cites DrEureka : Language model guided sim-to-real transfer.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models DrEureka : Language model guided sim-to-real transfer

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:27.524926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f54fb9ee-77ac-4692-afdd-f848d8155407 · outbound

This paper cites Human-level control through deep reinforcement learning.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Human-level control through deep reinforcement learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:23.934263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 140537b6-f9e5-4b9d-a733-4f35bd750442 · outbound

This paper cites MAESTRO : Open-ended environment design for multi-agent reinforcement learning.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models MAESTRO : Open-ended environment design for multi-agent reinforcement learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:27.339163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4a9086fd-42b0-45d5-8527-60c0e5f65ee6 · outbound

This paper cites A general reinforcement learning algorithm that masters chess, shogi, and go through self-play.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models A general reinforcement learning algorithm that masters chess, shogi, and go through self-play

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:24.152678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23c62845-b9db-4975-b2ea-c7aabaade011 · outbound

This paper cites Open-Ended Learning Leads to Generally Capable Agents.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Open-Ended Learning Leads to Generally Capable Agents

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:24.273683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5d9b907-689d-444a-bac6-9813077061e7 · outbound

This paper cites MarioGPT : Open-ended text2level generation through large language models.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models MarioGPT : Open-ended text2level generation through large language models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:27.109329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ce2a29f9-8b65-4488-ba2e-23cfee6802ac · outbound

This paper cites FactorSim : Generative simulation via factorized representation.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models FactorSim : Generative simulation via factorized representation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:26.957193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c958d56f-acf5-4444-bbd0-3fb758fe0300 · outbound

This paper cites Level generation through large language models.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Level generation through large language models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:26.784550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d45cc9be-b76e-48ae-a8cd-6fe998af2b01 · outbound

This paper cites Czarnecki, Micha \"e l Mathieu, Andrew Dudzik, Junyoung Chung, David H.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Czarnecki, Micha \"e l Mathieu, Andrew Dudzik, Junyoung Chung, David H

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:24.609668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a744cd5-ed2f-4375-bc04-c555881b23cd · outbound

This paper cites POET : open-ended coevolution of environments and their optimized solutions.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models POET : open-ended coevolution of environments and their optimized solutions

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:26.588323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 17228f76-73e4-499d-b445-173927c2aa49 · outbound

This paper cites Enhanced POET : Open-ended reinforcement learning through unbounded invention of learning challenges and their solutions.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Enhanced POET : Open-ended reinforcement learning through unbounded invention of learning challenges and their solutions

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:26.395049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c70a97ca-4e45-4523-bd9d-2521151e04d3 · outbound

This paper cites RoboGen : Towards unleashing infinite data for automated robot learning via generative simulation.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models RoboGen : Towards unleashing infinite data for automated robot learning via generative simulation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:26.218691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 86a77f62-0597-488d-a236-d7dec3c40529 · outbound

This paper cites Holodeck: Language guided generation of 3d embodied ai environments.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Holodeck: Language guided generation of 3d embodied ai environments

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:25.968915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation adb8e1fd-cd7f-4178-8339-b599ca31d48b · outbound

This paper cites Envgen: Generating and adapting environments via LLMs for training embodied agents.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Envgen: Generating and adapting environments via LLMs for training embodied agents

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:25.782840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 417a633d-6f68-46da-9c0c-b78168bae041 · outbound

This paper cites Automatic playtesting for game parameter tuning via active learning.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models Automatic playtesting for game parameter tuning via active learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:47:25.604181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 84cbfdcd-6a67-49fe-9e04-1c53f0ef1a97 · outbound

This paper cites write newline.

Fly, Fail, Fix: Iterative Game Repair with Reinforcement Learning and Large Multimodal Models write newline

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:25.181509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.