Critical percolation on every quasi-transitive graph

At the exact tipping point, random networks of a broad, symmetric kind form no endless cluster.

2 papers September 24, 2026 Explained by AI

Open each link of a network at random with the same chance. On the networks studied here, an endless connected cluster appears above a critical chance. These papers prove that, on these networks, no endless cluster exists at exactly the critical chance. One paper proves this for links and for points on the three-dimensional grid. The other proves it for links on every graph in the broad family Benjamini and Schramm named in 1996.

First step
1996
Itai Benjamini and Oded Schramm, the criticality conjecture
Significance
Landmark
If the proof holds, it settles the bond form of a central 30-year-old conjecture in percolation.
Trust
Formal proof listed
Field
Probability and statistical mechanics
2 papers

The explanation

Picture an endless square grid of streets. Flip a fair coin for every block of street. Heads keeps the block open, tails closes it. A corner has four blocks, so it is cut off with chance 1/16. A fixed route of 20 blocks is fully open with chance 1 in 1,048,576. But routes are many. From one corner, 4,649,045,868 routes of 20 blocks never turn straight back. That count is over 4,000 times the odds against any single route. Yet routes share blocks, so this count alone settles nothing. On this grid, a fair coin is in fact exactly the tipping point.

This game is called bond percolation. Each link of a network is open with some chance p, independently of the others. A cluster is a group of points joined by open links. For small p, every cluster is finite. For p near 1, an endless cluster appears. The switch point is the critical probability, written p_c. On the square grid, Harry Kesten showed in 1980 that p_c equals 1/2.

The hard question is what happens exactly at p_c. Does an endless cluster already exist there, or only just above it? If none exists, the chance of joining an endless cluster rises from zero without a jump at the tipping point. For links on the square grid, work by Harris in 1960 and Kesten in 1980 settled the question. Hara and Slade handled grids of high enough dimension in 1990. In 2017, Fitzner and van der Hofstad covered dimension 11 and up. The planar methods do not work for paths in three dimensions.

In 1996, Itai Benjamini and Oded Schramm asked the question far more widely. Their conjecture covers every quasi-transitive graph with p_c below 1. A graph is quasi-transitive if its points come in finitely many types. A symmetry is a reshuffling of the points that keeps every link. For any two points of one type, some symmetry moves one onto the other. Every grid qualifies. Earlier work settled large families. For example, in 2016 Tom Hutchcroft covered every such graph of exponential growth. That means the number of points within distance r grows like a fixed number raised to the power r. What remained was slower growth.

The first paper treats the cubic grid, in three dimensions. It proves that critical bond percolation there has no endless cluster. The same holds for site percolation, where the points rather than the links are open or closed. This was not untouched ground. In August 2026, Justin Leder publicly reported a Lean formalization of the bond case. It covers every grid of dimension 2 or more. A public exposition reported the site case from dimension 3 up. The paper says it describes work produced by AI systems prompted by Ahmed Bou-Rabee. The paper credits these and aims to give its own self-contained argument.

The second paper proves the full bond form of the Benjamini–Schramm conjecture. Take any infinite, connected graph where each point has finitely many links. Suppose it is quasi-transitive and its p_c is below 1. Then at p_c, there is almost surely no endless open cluster. Almost surely means with probability exactly one. The condition on p_c matters. A single endless line has p_c equal to 1, and at chance 1 every link is open.

The obstacle was the middle ground of growth: graphs that grow slower than exponentially. The paper splits them into two kinds, without needing to classify them further. Count the points within distance r of a point. In one kind, that count outgrows every fixed power of r. In the other, at infinitely many distances r, it grows no faster than a fixed power, much like a grid. Both cases argue by contradiction, starting from an endless cluster at p_c. In the fast kind, that cluster would force two large separate clusters to sit side by side. A probability bound in the paper forbids that. In the grid-like kind, a known structure theorem by Tessera and Tointon supplies two whole-number coordinates. Using them, an endless cluster at p_c would force one slightly below p_c. The definition of p_c rules that out.

Return to the street grid, now in three dimensions. Set each block open with exactly the critical chance. Then every corner almost surely sits in a finite cluster. The results do not say what p_c is for the cubic grid. The general theorem covers bond percolation only. The cubic-grid paper notes that the general bond theorem does not imply the site version. That paper proves the site version separately, for the cubic grid only.

How sure is this? A computer proof checker called Lean has a formal proof of each main statement. One covers bond and site percolation on the cubic grid. The other covers bond percolation on every graph described above, and allows repeated links between two points. Each is matched against a fixed reference statement by a tool called Comparator. No specialist review of either paper has been published.

What it doesn't show. This does not find any graph's critical chance, or settle site percolation beyond the cubic grid.

Where it came from

This result comes from an unreleased OpenAI model, published in the openai/math release on 6 October 2026.

Hype check

Lean proofs of both main statements are listed, with Comparator reference statements. Both cubic-grid cases, bond and site, had already been reported in public by others in 2026. No specialist review of either paper has been published.

Words used

Bond percolation
A random network where each link is open with the same chance, independently of the others.
Site percolation
The same game played with points instead of links: each point is open or closed at random.
Cluster
A group of points joined to each other by open links.
Critical probability
The chance p_c at which an endless cluster first becomes possible.
Quasi-transitive graph
A network whose points come in finitely many types, where a symmetry of the whole network can move any point onto any other point of its type.
Exponential growth
When the number of points within distance r grows like a fixed number raised to the power r.
Almost surely
With probability exactly one.
Symmetry
A reshuffling of a network's points that keeps every link in place.

The original papers (2)

All quoted lines (14)

  1. For nearest-neighbor Bernoulli bond percolation on Z3\mathbb Z^3, there is almost surely no infinite open cluster at the bond critical parameter.
    Critical bond and site percolation on the cubic lattice Back to text
  2. These two public expositions describe work produced by AI systems prompted by Ahmed Bou-Rabee.
    Critical bond and site percolation on the cubic lattice Back to text
  3. Our purpose here is a self-contained cubic argument, including the finite comparison, explicit relay geometry, and exploration estimates.
    Critical bond and site percolation on the cubic lattice Back to text
  4. Theorem … resolves the Benjamini–Schramm criticality conjecture positively for Bernoulli bond percolation.
    No percolation at criticality on quasi-transitive graphs Back to text
  5. Let GG be an infinite connected locally finite quasi-transitive undirected graph. If \pc(G)<1\pc(G)<1, then P\pc(G)(there is an infinite open cluster)=0.\PP_{\pc(G)}(\text{there is an infinite open cluster})=0.
    No percolation at criticality on quasi-transitive graphs Back to text
  6. The hypothesis \pc<1\pc<1 is necessary: at parameter one every edge is open, so an infinite connected graph percolates.
    No percolation at criticality on quasi-transitive graphs Back to text
  7. The one-dimensional case has \pc=1\pc=1.
    No percolation at criticality on quasi-transitive graphs Back to text
  8. This division requires no classification of intermediate growth.
    No percolation at criticality on quasi-transitive graphs Back to text
  9. In the other case, the proof divides according to the following exhaustive alternatives:
    No percolation at criticality on quasi-transitive graphs Back to text
  10. Sections … and … show that the resulting adjacent pair contradicts the bound in Proposition …: across a fixed edge, distinct clusters each of size at least ss occur with probability at most Cs−1/2Cs^{-1/2}.
    No percolation at criticality on quasi-transitive graphs Back to text
  11. In case (ii), we apply the finitary structure theorem of Tessera and Tointon to an auxiliary vertex-transitive graph.
    No percolation at criticality on quasi-transitive graphs Back to text
  12. Otherwise there are two integer coordinates on vertices that change by a fixed translation under each group element.
    No percolation at criticality on quasi-transitive graphs Back to text
  13. A planar boundary count gives positive probability of infinitely many successful sites, hence an infinite open cluster below \pc\pc.
    No percolation at criticality on quasi-transitive graphs Back to text
  14. The general bond criticality theorem does not imply the site assertion: independent site bits become independent hyperedges, and their endpoint convention must be preserved.
    Critical bond and site percolation on the cubic lattice Back to text

Other sources

  1. I. Benjamini and O. Schramm, “Percolation beyond Z^d, many questions and a few answers”, Electronic Communications in Probability 1 (1996), 71–82
  2. H. Kesten, “The critical probability of bond percolation on the square lattice equals 1/2”, Communications in Mathematical Physics 74 (1980), 41–59
  3. T. E. Harris, “A lower bound for the critical probability in a certain percolation process”, Proceedings of the Cambridge Philosophical Society 56 (1960), 13–20
  4. T. Hara and G. Slade, “Mean-field critical behaviour for percolation in high dimensions”, Communications in Mathematical Physics 128 (1990), 333–391
  5. R. Fitzner and R. van der Hofstad, “Mean-field behavior for nearest-neighbor percolation in d>10”, Electronic Journal of Probability 22 (2017), paper 43
  6. T. Hutchcroft, “Critical percolation on any quasi-transitive graph of exponential growth has no infinite clusters”, Comptes Rendus Mathématique 354 (2016), 944–947
  7. J. Leder, “θ(p_c)=0 for Bernoulli bond percolation on Z^d in all dimensions d≥2: a guide to the Lean formalization”, public research announcement, August 2026
  8. ChatGPT 5.6, prompted by Ahmed Bou-Rabee, “Percolation at criticality”, public research exposition, September 2026