executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
colt-reproducibilityUse when strengthening the reproducibility of a COLT (Conference on Learning Theory) paper, where reproducing means re-deriving — complete proofs, explicit assumptions, tracked constants, correctly invoked external results, self-contained notation — plus seeds and scripts for any numerical illustration the paper carries.
Independent GitHub snapshot · Automated classification · Original documentation governs
At COLT, reproducibility means a competent reader can re-derive every claim from the PDF alone. There is no reproducibility checklist form in the COLT 2026 CFP (checked 2026-07-08) — the venue enforces the property the hard way, through referees who attempt the re-derivation during review. This skill is the pre-submission audit that makes that attempt succeed.
A theorem is reproducible when all of the following hold:
| Failure mode | Typical symptom in the PDF | Repair |
|---|---|---|
| Hypothesis smuggling | Proof uses independence never assumed | Add the assumption to the statement, or redo the step |
| External-result misuse | "By [X], ..." where [X] needs bounded support you don't have | Check [X]'s hypotheses; find the right variant or prove a lemma |
| Constant drift | C doubles silently between two displays | Number constants (C_1, C_2, ...) and track them in a ledger |
| Case leakage | "The case d=1 is analogous" when it is not | Write the case or prove the reduction |
| Notation overload | Same symbol for a filtration and a function class | One notation table, enforced globally |
| Silent regime switch | Bound proved for T large, quoted for all T | State the threshold explicitly in the theorem |
Give assumptions their own numbered environment and cite them by label everywhere:
\newtheorem{assumption}{Assumption}
\begin{assumption}[Bounded losses]\label{ass:bounded}
For all $t$, the loss $\ell_t$ maps to $[0,1]$.
\end{assumption}
\begin{theorem}\label{thm:regret}
Under Assumptions~\ref{ass:bounded} and~\ref{ass:oblivious}, the algorithm's
regret satisfies $R_T \le 4\sqrt{T \log K}$ for all $T \ge 1$.
\end{theorem}
The payoff is auditable dependency: a reviewer can grep which theorems rely on obliviousness, and your rebuttal can answer "is Assumption 2 needed for Theorem 3?" with a pointer instead of an essay.
Some COLT papers plot a simulated regret curve or a phase transition to illustrate a bound. The theory community's floor for those figures:
Consider a submission whose main result is a $\Omega(\sqrt{TK})$ lower bound via a new instance family. Its re-derivability spine, in the order a referee will attack it:
A referee who can walk this spine without leaving the PDF marks correctness resolved; each externalized step converts into a review question, and three review questions into a reject.
colt-artifact-evaluation skill's ledger format works here.[Re-derivability verdict] re-derivable / gaps found
[Statement completeness] <theorems needing quantifier or assumption repair>
[Constant ledger] tracked / drift at <displays>
[External-results audit] <citations with unchecked hypotheses>
[Illustration floor] seeds+replications stated / absent / no numerics in paper