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soda-reproducibility

Use when hardening the verifiability of a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper, where reproducibility means checkable mathematics …

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SODA Reproducibility

At SODA, "reproducibility" is not seeds and GPUs — it is whether a competent

reader can re-derive every claim from the submitted document. Because SODA takes

full versions with no page limit (2027 CFP, checked 2026-07-08), there is no

"details omitted" escape hatch: the community's expectation is that the PDF on

HotCRP contains a complete, checkable argument. This skill is the audit for that

standard.

The verifiability ledger

Build a table with one row per claim before the July deadline. It doubles as the

rebuttal-preparation ledger in September (soda-author-response).

| Column | What goes in it |

|---|---|

| Claim | Theorem/lemma/corollary number and one-line statement |

| Model | Computation model and input assumptions (RAM model? adversary? degree bounds?) |

| Proof location | Section and page of the complete proof — "sketch only" is a red flag |

| External results used | Exact citation with theorem number, plus where hypotheses are checked |

| Constants | Hidden-constant status: explicit / bounded / genuinely unbounded |

| Checked by | Coauthor who verified the proof without having written it |

Every row must close before submission. The last column is the single most

valuable ritual an algorithms group can institutionalize: author-blind proof

checking catches the drift bugs that referees otherwise find in August.

Failure modes referees actually report

  • Statement-proof drift. The theorem says O(m log n), the proof delivers

O(m log^2 n) after a late edit. Mechanically re-derive the final bound from

the final proof, not from memory.

  • Imported-theorem hypothesis gaps. A cited result requires constant degree;

your graph is merely sparse. Quote the hypothesis next to each use.

  • Model slippage. The lower bound is proved against oblivious adversaries;

the abstract claims it for adaptive ones. State the model in the theorem, not

only in the preliminaries.

  • Randomness accounting. "With high probability" needs a stated exponent and

a union-bound budget that survives all invocations.

  • Case-analysis holes. For arguments with many cases, include the case

inventory explicitly; referees count cases before reading any.

Worked micro-example: a probability budget

The randomness-accounting failure deserves its own drill because it compounds

silently. Keep a single budget table in the source comments and make every

"w.h.p." claim draw from it:

% Failure-probability budget for Theorem 2 (target: n^{-2} overall)
%   E1: sampling lemma (Lemma 3.1), invoked <= n times ... n * n^{-4}
%   E2: hash collision (Lemma 3.4), invoked once      ... n^{-3}
%   E3: concentration (Lemma 4.2), invoked <= log n   ... log n * n^{-4}
%   Union bound: n^{-3} + o(n^{-3}) <= n^{-2} for n >= n_0 (state n_0!)

Audit questions the table forces: does each lemma's stated exponent survive

its actual invocation count in the final proof (invocation counts drift when

algorithms get restructured)? Is the constant n_0 stated anywhere? Does the

theorem statement promise the same exponent the budget delivers? A referee who

finds one unbudgeted invocation will re-check every probabilistic step in the

paper — the budget table is cheap insurance against that spiral.

Machine-checked steps

When part of the argument is computational (exhaustive search over configurations,

extremal-object certificates, verified constants), the reproducibility bar is a

rerunnable check, not a claim of one:

# The paper should let a referee do exactly this:
git clone <anonymous-archive-url> && cd verification
python3 check.py            # deterministic; prints per-case status
echo $?                     # 0 iff every case verified

State in the paper the case count, total runtime on commodity hardware, and the

reduction proving that check.py succeeding implies the lemma. See

soda-artifact-evaluation for packaging and anonymity.

Full version as the reproducibility instrument

The arXiv full version is the community's long-term verification record — SODA

proceedings versions are often condensations (soda-camera-ready). Discipline:

  • The submitted HotCRP version, the arXiv version, and the proceedings version

must agree on every theorem statement; keep a single source with build flags

rather than three diverging files.

  • When a bug is found post-publication, fix the arXiv version with a dated

erratum note; silent replacement erodes exactly the trust this skill protects.

  • Version the bibliography: a "personal communication" load-bearing citation is

a reproducibility hole; get the statement into a citable preprint or prove it

yourself in an appendix.

Pre-submission audit sequence

  1. Ledger complete: every claim has a proof location and a blind checker.
  2. Bound re-derivation pass: recompute each headline bound from its final proof.
  3. Import pass: every external theorem quoted with hypotheses verified in-text.
  4. Probability pass: failure probabilities summed and stated once, correctly.
  5. Computation pass: certificates rerun from a clean clone on a second machine.
  6. Cross-version pass: submission, arXiv, and any slides state identical bounds.

Output format

[Verifiability verdict] Checkable / Gaps found / Not checkable
[Ledger gaps] <claims lacking proof location, blind check, or model statement>
[Drift findings] <statement-proof or cross-version mismatches>
[Import findings] <external results with unverified hypotheses>
[Computation findings] <uncertified machine-checked steps>
[Fix order] <ranked repairs before the July deadline>

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