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itcs-experiments

Use when deciding what counts as evidence for an ITCS theory claim — proofs as the primary evidence, worked examples and separations that make a mod…

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ITCS Experiments

ITCS is a pure-theory venue: the primary — usually the only — evidence for a claim is a

proof. There is no experiments requirement, no benchmark, no leaderboard, and no reviewer

expectation of an empirical section. Bringing an ML-conference or SE reflex here (a table of

numbers "showing" the method works) misreads the venue: at ITCS a theorem is proved, not

measured. This skill is about matching evidence to a theory claim and about the rare case

where a small computation genuinely helps.

Proofs are the evidence

  • Every central claim is settled by a complete proof, not by examples. A pattern that "holds

in all cases we tried" is a conjecture, not a theorem — label it as such and prove or drop it.

  • Match the claim shape to the argument shape: an upper bound needs a construction + analysis;

a lower bound needs an adversary/reduction; a separation needs a witness object; an

impossibility needs a contradiction from the assumption. Reviewers check that the kind of

argument fits the kind of claim.

  • A new model needs an anchoring result (see

[itcs-writing-style](../itcs-writing-style/SKILL.md)) — a separation or a surprising

possibility that proves the model is neither empty nor everything. That anchoring result is

the "experiment" an ITCS PC wants: evidence the model is alive.

Worked examples and separations as evidence

Non-proof evidence that is welcome, because it makes the mathematics concrete:

  • Worked examples that instantiate a definition on a small case and show the intended

behavior — invaluable for a new model, and cheap insurance against the "is this trivial?"

objection.

  • Explicit separating objects — a small graph, code, distribution, or gadget that witnesses a

gap between two settings. If finite, include the object so a reviewer verifies the separation

directly.

  • Tight-example constructions showing an analysis cannot be improved — the theory analogue of

an ablation, demonstrating the bound is not loose by accident.

The rare, well-scoped computation

Some ITCS papers include a small computational component: a computer search that found a

gadget, a SAT/SMT solve certifying a finite separation, a numerically evaluated construction.

When one genuinely helps, scope it tightly:

  • It supports a proved claim; it is never the claim. "A search over all graphs on <= 12

vertices found the gadget of Lemma 4, whose properties we then prove" is legitimate. "Our

method achieves 92% on a benchmark" is a category error at ITCS.

  • Make it checkable without rerunning. State the exact search space, the tool and version, and

— crucially — include the finite object the search produced (the graph, certificate, code)

so verification is a static check, not a re-computation. A reviewer should be able to confirm

the object has the claimed property by hand or with a one-line check.

  • Report it honestly. If a construction is only verified numerically (not proved), say so and

mark exactly which claims rest on computation versus proof.

  • Keep it off the anonymity leak surface. A linked repository under a personal GitHub is a

lightweight-double-blind slip; fold the object into an appendix or host it neutrally (see

[itcs-submission](../itcs-submission/SKILL.md)).

What NOT to import from empirical venues

| Empirical-venue habit | Why it misfires at ITCS |

|---|---|

| A benchmark table as the main result | ITCS proves; it does not measure. A table cannot establish a theorem |

| "Outperforms baselines by X%" framing | There are no baselines to beat; the contribution is an idea/proof |

| Runtime plots to argue efficiency | State and prove the asymptotic bound instead |

| An artifact/reproducibility package of code | No artifact track exists; the "artifact" is the proof (see itcs-artifact-evaluation) |

| Statistical significance / error bars | Irrelevant to a deterministic mathematical claim |

Decision procedure

[Claim] is it a theorem (prove it) or a pattern (label as conjecture, or prove/drop)?
[Argument fit] upper=construction+analysis / lower=adversary / separation=witness / impossibility=contradiction
[Alive] new model? -> anchoring separation or surprising-possibility result present?
[Compute?] does a small search/solve genuinely help a proved claim? if not, omit it
[Checkable] if compute used: search space + tool/version stated, finite object included?
[Honesty] each claim tagged proved vs. numerically-verified; anonymity leak surface clean?

Output format

[ITCS evidence status] proof-complete / gaps / mis-imported-empirics
[Central claims] each has a complete proof of matching shape? yes/no + list gaps
[Model alive] anchoring result present for any new model? yes/no
[Computation] present? if so: supports-a-proof only? checkable object included?
[Anonymity] no personal-repo leak from any computational content? yes/no
[Fix queue] <ordered edits>

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