Tight bounds for clique-packing parameterized by clique-width
Pith reviewed 2026-07-01 02:28 UTC · model grok-4.3
The pith
d-Clique Packing can be solved in n^{O(k^{d-1})} time parameterized by clique-width k, with a matching ETH lower bound for d >= 3.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
For each fixed d >= 3, the d-Clique Packing problem admits an algorithm running in n^{O(k^{d-1})} time on graphs of clique-width k when a k-expression is given. Assuming the Exponential Time Hypothesis, no algorithm exists with runtime n^{o(k^{d-1})} even for the d-Clique Partition problem. The proof also shows W[1]-hardness of both problems parameterized by clique-width.
What carries the argument
Dynamic programming on the parse tree of the given k-expression, with states sized to produce the O(k^{d-1}) exponent in the runtime.
If this is right
- The problem is solvable in polynomial time for any constant clique-width.
- The same upper and lower bounds apply to d-Clique Partition.
- The problems are W[1]-hard parameterized by clique-width for d >= 3.
- The exponent in the runtime depends on d but not on the number of cliques t.
Where Pith is reading between the lines
- Similar exponent patterns might appear in other packing or covering problems parameterized by clique-width.
- The results highlight that providing the k-expression is key to achieving the upper bound.
- One could test whether the bounds extend to related problems like packing other subgraphs of size d.
Load-bearing premise
The exponential time hypothesis holds.
What would settle it
An algorithm solving d-clique packing in time n^{o(k^{d-1})} for some fixed d at least 3 on graphs with given k-expression would falsify the lower bound.
read the original abstract
In the $d$-Clique Packing problem, given a graph $G$ and an integer $t$, we need to decide whether $G$ contains a set of $t$ pairwise vertex-disjoint cliques of size $d$ each. This generalizes Triangle Packing and it is NP-complete for all $d\geq 3$. For each such $d$, we show how to solve the problem in $n^{O(k^{d-1})}$ time where $k$ is the clique-width of the graph (with a $k$-expression of $G$ given in the input). We complement this by showing that, assuming the Exponential-Time Hypothesis (ETH), there is no algorithm that solves the problem in $n^{o(k^{d-1})}$ time for any fixed $d\geq 3$, already for the special case of seeking a partition into cliques of size $d$. Our proof also entails W[1]-hardness of $d$-Clique Packing (and $d$-Clique Partition) parameterized by clique-width for each $d\geq 3$. Our work continues a series of results on ETH-tight bounds for fundamental graph problems started by Fomin et al.\ (SICOMP 2010+2014) who obtained tight bounds for Max-Cut and Edge Dominating Set.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper studies the d-Clique Packing problem (decide if a graph contains t vertex-disjoint d-cliques) and its special case d-Clique Partition. For each fixed d≥3 it gives an algorithm running in n^{O(k^{d-1})} time when a k-expression is provided, and proves that, under ETH, no n^{o(k^{d-1})} algorithm exists even for d-Clique Partition. The lower bound also implies W[1]-hardness parameterized by clique-width.
Significance. If correct, the results supply the first ETH-tight bounds for a natural packing problem on clique-width, extending the Fomin et al. program. The algorithmic side follows the standard clique-width DP template with state size governed by fixed d; the matching lower bound is obtained via an explicit reduction from a known ETH-hard problem. These are concrete strengths.
minor comments (3)
- [§3] §3, the DP recurrence for the general packing case: the transition when introducing a new label is described only at a high level; an explicit enumeration of the O(k^{d-1}) states would help verify the exponent.
- [§5] The W[1]-hardness claim is derived from the ETH lower bound but is stated without a separate parameterized reduction; a short paragraph clarifying the parameter dependence would avoid any ambiguity.
- [Figure 1] Figure 1 (the reduction gadget) uses a non-standard notation for the clique-width labels; adding a small legend would improve readability.
Simulated Author's Rebuttal
We thank the referee for the positive assessment of the paper, the accurate summary of its contributions, and the recommendation of minor revision. The results are correctly described as providing the first ETH-tight bounds for a natural packing problem parameterized by clique-width.
Circularity Check
No significant circularity identified
full rationale
The paper's upper bound is an explicit dynamic-programming algorithm on a provided k-expression whose state size is governed by the fixed parameter d; this is a standard construction for clique-width and does not reduce to any fitted quantity or self-definition. The matching lower bound (including W[1]-hardness) is derived from the external Exponential-Time Hypothesis, which is stated as an independent assumption and is not obtained from any equation or prior result internal to the paper. No self-citation is load-bearing, no ansatz is smuggled, and no renaming of a known result occurs. The derivation chain is therefore self-contained against external benchmarks.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption Exponential Time Hypothesis (ETH)
Reference graph
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