ICALP Artifact Evaluation (there isn't one — and what replaces it)

SkillDev tools

Use to understand why ICALP (EATCS) has no artifact-evaluation track or badge scheme, and what plays the equivalent role for a pure-theory paper, the full version with complete proofs, reproducible computational certificates, and optional machine formalization, so authors coming from a systems/ML venue do not waste effort building an artifact ICALP does not evaluate.

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the ICALP Artifact Evaluation (there isn't one skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in ICALP-Skills/skills/icalp-artifact-evaluation/SKILL.md and read by ahel’s review.

Read this first if you are arriving from a venue with an artifact track. ICALP has no artifact evaluation, no artifact-evaluation committee, and no ACM/IEEE badges. It is a pure theoretical computer science venue: the contribution is a theorem, and the "artifact" a referee cares about is the proof. Building a Docker image, a benchmark harness, or a reproducibility capsule for an ICALP submission is effort spent on something no one will evaluate — and can even signal that the paper is mis-routed.

Why no artifact track

  • ICALP results are mathematical: correctness is established by a proof a referee checks, not by running code on a machine.
  • The community norm and the LIPIcs open-access model center the published proof and the full version, not a software deliverable.
  • Contrast the software-engineering / systems / ML world (ACM/IEEE Available–Functional–Reusable– Reproduced badges, or ML reproducibility checklists): those exist because the contribution is a system or an empirical result. At ICALP it is not.

What plays the artifact's role

Systems/ML artifact conceptICALP equivalent
"Artifacts Available" (archived, DOI)The full version on arXiv/ECCC/HAL, and the open-access LIPIcs paper
"Functional" (it runs)The proof is complete and checkable in the appendix / full version
"Reproduced" (results re-obtained)An expert re-derives / verifies the proof; certificates for any computation
Reproducibility capsuleA machine-checked formalization (Coq/Lean/Isabelle), when provided

So the "artifact" work for an ICALP paper is: write the complete proofs, make any computation checkable (icalp-experiments, icalp-reproducibility), and optionally formalize the central theorem.

When your paper DOES contain software

Some ICALP papers include an implementation or a computer-assisted proof. Even then, there is no badge track — but you should still:

  • Make the code reproducible and reference it at camera-ready (public repo, or Zenodo/Software Heritage for a DOI), primarily to support the proof, not as a graded artifact.
  • Provide certificates an independent checker can verify where the method allows.
  • Keep any such repository from breaking anonymity during lightweight double-blind review.

If the implementation/experiment is the actual contribution rather than support for a theorem, that is a routing signal: an experimental-algorithms track (e.g. ALENEX/ESA's experimental track), a systems venue, or a database/ML venue may be the right home — see icalp-topic-selection.

Do not

  • Do not build an artifact-evaluation package for ICALP; there is nothing to submit it to.
  • Do not import ACM/IEEE badge language or an ML reproducibility-checklist artifact into the paper.
  • Do not assume a future ICALP will add an artifact track without checking the live call (待核实 if ever announced).

Output format

[Artifact track?] none at ICALP (pure-theory venue)
[Proof-as-artifact] complete proofs in full version? yes/no
[Computation support] certificates / reproducible code where a proof uses computation? n/a or yes/no
[Formalization] none / partial / archived+cited (optional, not required)
[Routing flag] is software the real contribution (=> reconsider venue)? yes/no

Signals

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skill
Key
icalp-artifact-evaluation
Source
github.com/brycewang-stanford/awesome-journal-skills