Case study

Irisu ML: reconstructing Irisu Syndrome! normal mode

Irisu ML reconstructs Irisu Syndrome! v2.03 normal mode as a deterministic C++20 simulator, Python learning environment and playable browser client. It models input timing, seeded spawning, scoring, chains and progression, with original-format replay support. The author reports event-level matches on four eligible instrumented playbacks and a selected-seed high-score replay.

Targets: Game
Category: Independent reconstruction cases
Relationship: Independent reconstruction project
Sources reviewed: 2026-11-06
Evidence class: C1 partial scope or analysis entry

Stars: 1
Last commit: 2026-11-06
Language: Python

GitHub data as of 2026-11-10

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Evidence

Demo available · no screenshot

Observed: Download and demo observed; the case covers part of the target software.
Scope: Partial
Checked: 2026-11-08

How evidence classes are assigned

Requirements & limits

Prerequisites: A C++20 build is required for the native simulator; the Python interface needs the separately built native library.
Prerequisites: The optional exact MSVC physics host requires separately generated local dependencies.
Scope: The published high-score replay covers a selected seed.
License: No licence file in the repository.

Cite

BibTeX

@misc{irisu-ml-case,
  title = {{Irisu ML: reconstructing Irisu Syndrome! normal mode}},
  howpublished = {\url{https://github.com/Gabriel-Kahen/irisu-ml}},
  url = {https://github.com/Gabriel-Kahen/irisu-ml},
  urldate = {2026-11-06},
  note = {Awesome REA entry: \url{https://awesomerea.org/resources/irisu-ml-case/}}
}

Plain text

Irisu ML: reconstructing Irisu Syndrome! normal mode. https://github.com/Gabriel-Kahen/irisu-ml (accessed 2026-11-06). Awesome REA entry: https://awesomerea.org/resources/irisu-ml-case/

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About this entry

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Primary sources

README.md GitHub · Gabriel-Kahen/irisu-ml · Revision 835f0b4
pyproject.toml GitHub · Gabriel-Kahen/irisu-ml · Revision 835f0b4