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arxiv: 2604.16030 · v3 · submitted 2026-04-17 · 💻 cs.DS

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Hardness, Tractability and Density Thresholds of finite Pinwheel Scheduling Variants

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Pith reviewed 2026-05-10 07:38 UTC · model grok-4.3

classification 💻 cs.DS
keywords pinwheel schedulingNP-completenessdensity thresholdsfinite schedulingmultiplicityrandomized algorithmsk-visits problem
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The pith

2-Visits pinwheel scheduling is strongly NP-complete even when each deadline appears at most twice.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper studies finite versions of pinwheel scheduling in which each task must be executed a fixed number of times within a bounded window while respecting its deadline. It establishes that deciding the existence of such a schedule for exactly two executions per task remains hard even when no deadline value is shared by more than two tasks. This settles a prior open question and shows that earlier positive results for specially structured inputs do not extend to the general case with multiplicity two. The work also places the same problem in RP whenever the number of distinct deadlines is a fixed constant and supplies matching lower and asymptotic bounds on the highest input density that always admits a feasible schedule.

Core claim

We prove that 2-Visits is strongly NP-complete even when the maximum multiplicity of the input is equal to 2. We prove that 2-Visits is in RP when the number of distinct deadlines is constant. We generalize all existing positive results for 2-Visits to a mixed version in which some tasks are visited once and others twice. We establish a lower bound of √2−1/2≈0.9142 for the density threshold of 2-Visits and prove that the density threshold of k-Visits approaches 5/6 as k tends to infinity.

What carries the argument

The 2-Visits decision problem, which asks whether a sequence of length 2n exists that executes each of n tasks exactly twice without any deadline expiring between consecutive executions of the same task.

If this is right

  • 2-Visits remains strongly NP-complete on all inputs whose deadlines take at most two identical values.
  • 2-Visits admits a randomized polynomial-time algorithm whenever the number of distinct deadline values is bounded by a constant.
  • All previously known polynomial-time cases of 2-Visits extend directly to the mixed setting in which tasks may require either one or two visits.
  • The highest density guaranteeing a feasible 2-Visits schedule is at least √2−1/2.
  • The highest density guaranteeing a feasible k-Visits schedule converges to 5/6 in the limit of large k.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Scheduling software for systems with only a handful of distinct periods can safely use randomized methods even when exact deadlines repeat a few times.
  • Finite-horizon pinwheel variants may allow higher utilization than their infinite counterparts before becoming infeasible.
  • The gap between the proven 0.9142 lower bound for two visits and the 5/6 limit suggests that intermediate visit counts may admit still tighter density thresholds.
  • Exact solvers for these problems will likely need to combine branch-and-bound with randomization when the number of distinct deadlines grows.

Load-bearing premise

The reductions establishing NP-completeness assume that the input deadlines are positive integers and that the scheduling constraints can be encoded without additional side constraints such as release times or resource conflicts.

What would settle it

A deterministic polynomial-time algorithm that correctly decides every 2-Visits instance whose deadlines have multiplicity at most two would contradict the claimed strong NP-completeness.

Figures

Figures reproduced from arXiv: 2604.16030 by Christos Pergaminelis, Giorgos Mitropoulos, Sotiris Kanellopoulos, Thanos Tolias.

Figure 1
Figure 1. Figure 1: A map of the chain of reductions to 2-Visits in [29] compared to our multiplicity￾preserving chain of reductions in Section 3 (bold arrows). The reduction marked with a (*) preserves the maximum multiplicity and is thus used as the final step for our result. In Section 3 we prove that 2-Visits remains strongly NP-hard even when the maximum mul￾tiplicity of the input is 2. Our result mostly relies on an alt… view at source ↗
Figure 2
Figure 2. Figure 2: A map of our reductions in Section 4, transforming 2 [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: An example of a Position Matching instance, corresponding to the 2-Visits instance D = {1, 4, 5, 6, 6, 7, 15, 16, 18, 18, 18}, and its solution. A is the discretized sequence of D and T = [2n] \ A (see Lemma 1). Observe that none of the black lines dictating the solution cross the dotted lines (the borders of clusters), due to the d ≥ a restriction of Position Matching. 2.2.3 Pinwheel variants and the conc… view at source ↗
Figure 4
Figure 4. Figure 4: The reduction of Lemma 6, from EWPM in multigraphs to EWPM in simple graphs. Unlabeled edges have weight 0. The perfect matchings of both graphs denoted by red edges have total weight 10. Lemma 6. There is a linear-time reduction from EWPM in multigraphs to EWPM in simple graphs, preserving weights and multiplying the amount of edges by 3. Proof. Let G be a multigraph. We construct a simple graph G′ by rep… view at source ↗
Figure 5
Figure 5. Figure 5: The density function from the proof of Lemma 9: [PITH_FULL_IMAGE:figures/full_fig_p020_5.png] view at source ↗
read the original abstract

The k-Visits problem is a recently introduced finite version of Pinwheel Scheduling [Kanellopoulos et al., SODA 2026]. Given the deadlines of n tasks, the problem asks whether there exists a schedule of length kn executing each task exactly k times, with no deadline expiring between consecutive visits (executions) of each task. In this work we prove that 2-Visits is strongly NP-complete even when the maximum multiplicity of the input is equal to 2, settling an open question from [Kanellopoulos et al., SODA 2026] and contrasting the tractability of 2-Visits for simple sets. On the other hand, we prove that 2-Visits is in RP when the number of distinct deadlines is constant, thus making progress on another open question regarding the parameterization of 2-Visits by the number of numbers. We then generalize all existing positive results for 2-Visits to a version of the problem where some tasks must be visited once and some other tasks twice, while providing evidence that some of these results are unlikely to transfer to 3-Visits. Lastly, we establish bounds for the density thresholds of k-Visits, analogous to the $(5/6)$-threshold of Pinwheel Scheduling [Kawamura, STOC 2024]; in particular, we show a $\sqrt{2}-1/2\approx 0.9142$ lower bound for the density threshold of 2-Visits and prove that the density threshold of k-Visits approaches $5/6\approx 0.8333$ for $k \to \infty$.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 3 minor

Summary. The paper studies the k-Visits problem, a finite variant of Pinwheel Scheduling. It proves strong NP-completeness of 2-Visits even under maximum multiplicity 2 (resolving an open question), shows membership in RP when the number of distinct deadlines is constant, generalizes existing tractability results to a mixed 1-visit/2-visit setting while providing evidence that some results fail to extend to 3-Visits, and derives density-threshold bounds including a √2−1/2≈0.9142 lower bound for 2-Visits and convergence to the classical 5/6 threshold as k→∞.

Significance. If the reductions and randomized algorithm are correct, the work resolves two open questions from the SODA 2026 predecessor, supplies the first parameterized tractability result for 2-Visits, and gives the first explicit finite-pinwheel density bounds that parallel the known infinite-pinwheel threshold. These contributions are load-bearing for the complexity landscape of the problem and would be of clear interest to the scheduling and parameterized-complexity communities.

minor comments (3)
  1. The abstract states that positive results for 2-Visits are generalized to the mixed-visit variant but does not name the specific prior results being extended; a one-sentence pointer in the introduction would improve traceability.
  2. The density-threshold section presents the √2−1/2 lower bound numerically; adding a short derivation sketch or reference to the construction used would help readers verify the constant without consulting external material.
  3. The RP-membership proof for constant distinct deadlines is mentioned only in the abstract; a brief high-level outline of the randomized algorithm (e.g., sampling method or witness size) in the main text would clarify the parameterization.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive assessment of our manuscript and for recommending minor revision. The referee summary correctly reflects our main results: the strong NP-completeness of 2-Visits even at multiplicity 2, membership in RP for constant distinct deadlines, the generalization of tractability results to the mixed 1-visit/2-visit setting, and the density-threshold bounds (including the 0.9142 lower bound for 2-Visits and the limit of 5/6 as k grows).

Circularity Check

0 steps flagged

Minor self-citation to prior work; new proofs and bounds are independent

full rationale

The paper defines the k-Visits problem by reference to the SODA 2026 work and settles an open question from that paper via a new strong NP-completeness proof for 2-Visits at multiplicity 2, an RP membership result for constant distinct deadlines, and new density threshold bounds. These results are established through explicit reductions, randomized algorithms, and threshold arguments that do not reduce any claimed theorem to a fitted parameter, self-definition, or unverified self-citation chain. The self-citation is limited to problem introduction and open-question context and is not load-bearing for the new theorems.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The paper relies on standard definitions from complexity theory (NP-completeness, RP) and the prior formalization of k-Visits; no free parameters, invented entities, or ad-hoc axioms are introduced in the abstract.

axioms (2)
  • standard math Standard definitions of strong NP-completeness and randomized polynomial time (RP)
    Invoked when classifying 2-Visits as strongly NP-complete and in RP.
  • domain assumption The k-Visits problem is correctly formalized as a finite schedule of length kn with exactly k executions per task
    Basis for all stated results; taken from the cited SODA 2026 paper.

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