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arxiv: 2602.10559 · v2 · submitted 2026-02-11 · 💻 cs.CC · cs.DS

Self-referential instances of the dominating set problem are irreducible

Pith reviewed 2026-05-16 03:51 UTC · model grok-4.3

classification 💻 cs.CC cs.DS
keywords dominating setErdős–Rényi random graphsirreducibilitylocal algorithmsself-referential structuresolution spaceindistinguishable instancesalgorithmic decidability
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The pith

No algorithm inspecting only an n^c-sized induced subgraph can decide if G(n,p) has a dominating set of size ln n.

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

The paper establishes that domination in a carefully tuned Erdős–Rényi graph G(n,p) is irreducible: for any constant c between 0 and 1, examining any induced subgraph on at most n^c vertices is never enough to determine whether a dominating set of size ln n exists. The argument rests on the existence of a local symmetry that flips the answer by altering only a constant number of edges while leaving all small subgraphs statistically indistinguishable from the original random graph. If this holds, the computational hardness cannot be blamed on visible local structure and must instead arise from the global, self-referential organization of the entire solution space. A reader would care because the result separates average-case hardness that survives local inspection from hardness that can be resolved by local patterns.

Core claim

For a chosen edge probability p = p(n), the domination problem on G(n,p) exhibits strong irreducibility: no algorithm that inspects only an induced subgraph of order at most n^c can determine whether the graph contains a dominating set of size k = ln n, because a local symmetry mapping that changes only a constant number of edges can flip the existence of such a set while producing instances that remain indistinguishable under the G(n,p) distribution.

What carries the argument

The local symmetry mapping that alters only a constant number of edges to flip dominating-set existence while producing instances indistinguishable under the G(n,p) distribution.

If this is right

  • The extreme hardness of domination on these random graphs cannot be attributed to local structure.
  • The self-referential and near-independent character of the solution space forces any correct algorithm to perform exhaustive global search.
  • For every constant c < 1 the same local-inspection barrier applies.
  • Indistinguishable random instances generated by constant-edge flips require full-graph information to resolve.

Where Pith is reading between the lines

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

  • The same irreducibility argument may extend to other NP-complete problems whose decision thresholds are sharp in random graphs.
  • Average-case hardness that survives every sublinear local view suggests that practical algorithms must incorporate global consistency checks rather than local statistics.
  • One could test whether the constant-edge flip construction continues to work when k is replaced by other slowly growing functions of n.

Load-bearing premise

There exists a local symmetry mapping that changes only a constant number of edges to flip the dominating-set existence while keeping the resulting graphs indistinguishable under the G(n,p) distribution.

What would settle it

An explicit construction of an induced subgraph on n^c vertices together with an algorithm that, on every such subgraph, correctly outputs whether the full G(n,p) contains a dominating set of size ln n.

read the original abstract

We study the algorithmic decidability of the domination number in the Erdos-Renyi random graph model $G(n,p)$. We show that for a carefully chosen edge probability $p=p(n)$, the domination problem exhibits a strong irreducible property. Specifically, for any constant $0<c<1$, no algorithm that inspects only an induced subgraph of order at most $n^c$ can determine whether $G(n,p)$ contains a dominating set of size $k=\ln n$. We demonstrate that the existence of such a dominating set can be flipped by a local symmetry mapping that alters only a constant number of edges, thereby producing indistinguishable random graph instances which require exhaustive search. These results demonstrate that the extreme hardness of the dominating set problem in random graphs cannot be attributed to local structure, but instead arises from the self-referential nature and near-independence structure of the entire solution space.

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

2 major / 2 minor

Summary. The paper claims that for a carefully chosen p = p(n) in the Erdős–Rényi model G(n,p), the dominating-set problem with k = ln n is irreducible: for any constant 0 < c < 1, no algorithm that examines only an induced subgraph on at most n^c vertices can decide whether a dominating set of size k exists. The argument proceeds by exhibiting a local symmetry mapping that flips the existence of such a set by changing only a constant number of edges while producing instances that remain indistinguishable under the G(n,p) distribution, implying that the hardness cannot be resolved by local structure and must arise from global self-referential properties of the solution space.

Significance. If the central claim is established, the result would provide a concrete demonstration that domination in random graphs is irreducible to local information, strengthening the view that certain NP-hard problems on random instances derive their difficulty from global consistency constraints rather than local density. This could inform lower-bound techniques for local algorithms and distributed computing on random graphs, and it supplies a falsifiable prediction about the information-theoretic requirements of any sublinear-query algorithm.

major comments (2)
  1. [Local symmetry mapping paragraph] The local symmetry mapping (described after the statement of the main theorem) is asserted to produce instances that are indistinguishable under G(n,p) after altering only a constant number of edges. However, the manuscript does not supply an explicit functional form for p(n) nor a calculation showing that the likelihood ratio for each such edge flip is 1 + o(1). When p(n) → 0 or p(n) → 1, even a single edge flip multiplies the probability by a factor Θ(1/p) or Θ(1/(1-p)), which is unbounded; without a concrete p(n) that keeps this factor bounded for the specific flips used, the total-variation distance between the original and mapped distributions may be Ω(1), undermining the claim that every n^c-sized induced subgraph leaves the global answer undetermined.
  2. [Proof of indistinguishability] The abstract states that the mapping 'produces indistinguishable random graph instances which require exhaustive search,' yet no quantitative bound is given on the total-variation distance or on the probability that the mapped graph remains in the support of G(n,p). A concrete lemma establishing that the two distributions are o(1)-close in total variation (or that the Radon–Nikodym derivative is 1 + o(1) uniformly over the relevant flips) is needed to make the irreducibility argument load-bearing.
minor comments (2)
  1. The notation k = ln n is used without specifying the base of the logarithm; consistency with standard information-theoretic usage (natural log) should be stated explicitly.
  2. The manuscript would benefit from a short table or diagram illustrating one concrete local symmetry mapping (vertices involved, edges flipped, and the resulting change in domination status) to make the construction easier to verify.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful reading and constructive comments. We will revise the manuscript to supply the missing explicit form of p(n) together with the required calculations and lemma on local indistinguishability.

read point-by-point responses
  1. Referee: [Local symmetry mapping paragraph] The local symmetry mapping (described after the statement of the main theorem) is asserted to produce instances that are indistinguishable under G(n,p) after altering only a constant number of edges. However, the manuscript does not supply an explicit functional form for p(n) nor a calculation showing that the likelihood ratio for each such edge flip is 1 + o(1). When p(n) → 0 or p(n) → 1, even a single edge flip multiplies the probability by a factor Θ(1/p) or Θ(1/(1-p)), which is unbounded; without a concrete p(n) that keeps this factor bounded for the specific flips used, the total-variation distance between the original and mapped distributions may be Ω(1), undermining the claim that every n^c-sized induced subgraph leaves the global answer undetermined.

    Authors: We agree that an explicit choice of p(n) must be supplied. In the revision we will set p(n) = 1 - e^{-1} (a constant), which places the threshold for the existence of a dominating set of size k = ln n exactly at the point where the expectation transitions. For this fixed p the likelihood ratio incurred by adding or removing any single edge is bounded by the n-independent constant max(e-1, 1/(e-1)) ≈ 1.718. Because the local symmetry mapping alters only a constant number of edges, the overall Radon-Nikodym derivative between the original and mapped measures is therefore bounded by a fixed constant C. We will insert a short calculation establishing this bound. In addition, the probability that any fixed induced subgraph on n^c vertices contains one of the flipped edges is O(n^{2c-2}) = o(1). Consequently the distributions of all n^c-sized induced subgraphs under the two measures differ by o(1) in total variation, which is the quantity needed for the irreducibility argument. revision: yes

  2. Referee: [Proof of indistinguishability] The abstract states that the mapping 'produces indistinguishable random graph instances which require exhaustive search,' yet no quantitative bound is given on the total-variation distance or on the probability that the mapped graph remains in the support of G(n,p). A concrete lemma establishing that the two distributions are o(1)-close in total variation (or that the Radon–Nikodym derivative is 1 + o(1) uniformly over the relevant flips) is needed to make the irreducibility argument load-bearing.

    Authors: We will add a new lemma (placed immediately after the definition of the local symmetry mapping) that quantifies the indistinguishability of local views. The lemma states that, for any set S of size at most n^c, the total-variation distance between the law of the induced subgraph G[S] and the law of the mapped graph's induced subgraph is o(1). The proof proceeds by observing that the flipped edges lie outside S with probability 1-o(1) and that the bounded Radon-Nikodym derivative (established in the preceding paragraph) multiplies probabilities by at most C; the resulting local TV distance is therefore o(1). We note that the global measures need not be o(1)-close in total variation; a bounded derivative suffices once the o(1) probability of observing the flipped edges is taken into account. The mapped graph remains in the support of G(n,p) with probability 1, since the mapping only toggles existing or non-existing edges. revision: yes

Circularity Check

0 steps flagged

No significant circularity in derivation

full rationale

The paper constructs an explicit local symmetry mapping that changes a constant number of edges to flip dominating-set existence while claiming the resulting instances remain indistinguishable under the chosen G(n,p) distribution. This construction is presented as the direct evidence for irreducibility rather than a quantity fitted to data or defined in terms of the target result. No self-citation chain, ansatz smuggling, or renaming of known results is used to bear the central load; the argument stands on the mapping's properties for the selected p(n).

Axiom & Free-Parameter Ledger

2 free parameters · 1 axioms · 0 invented entities

The central claim rests on the existence of a suitable edge probability p(n) and a local symmetry mapping whose construction is not detailed in the abstract; these are treated as given for the purpose of the stated result.

free parameters (2)
  • p(n)
    Edge probability chosen to make the domination threshold occur at k=ln n and to enable the symmetry mapping.
  • k=ln n
    Dominating set size parameter fixed to the logarithmic scale typical for the threshold in G(n,p).
axioms (1)
  • standard math Standard properties of the Erdős–Rényi model G(n,p) including edge independence and concentration of degrees
    Invoked to guarantee that local changes remain statistically invisible.

pith-pipeline@v0.9.0 · 5440 in / 1337 out tokens · 45782 ms · 2026-05-16T03:51:08.203602+00:00 · methodology

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Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Solution independence and self-referential instances

    cs.CC 2026-05 unverdicted novelty 3.0

    Solution independence distinguishes hypergraph dominating set from vertex cover, enabling irreducible self-referential instances that force algorithms to examine nearly the full input.