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ERDőS #80 · PARTIAL

Erdős problem 80 — wave 5h report

Date: 2026-08-12 UTC (initial report 2026-07-26)

Claim labels used throughout:

certificate whose verification is transparent.

the explicitly cited theorem.

literature-search conclusion, not a theorem.

to an asymptotic theorem.

2026-08-12 update: exact frontier at nine vertices

The finite extremal table from Section 2 now extends one full order further:

\[ \boxed{(M_0(9),M_1(9),\ldots,M_7(9)) =(0,18,21,27,28,30,32,36).} \tag{U1} \]

Here \(M_k(n)\) is the maximum edge count of an \(n\)-vertex graph in which every edge lies in a triangle and every edge lies in at most \(k\) triangles. This is [d] finite computational progress, not an asymptotic result.

The two non-elementary boundaries are

\[ M_1(9)=18,\qquad M_2(9)=21. \]

A 36-edge-variable SAT encoding finds matching constructions and proves that 19 and 22 edges, respectively, are impossible. Independently, nauty 2.8.8 generates all 274,668 unlabelled nine-vertex graphs; a separate C++ graph6 decoder and a NetworkX audit both recover (U1) directly. The frozen graph6 stream has SHA-256

ce9c5d4d27c8e55de5f0c6348ec781a650382e16bdff26b6c3418fa00a9cfcf9

For \(k=3,\ldots,7\), elementary degree-sum and complement arguments give the upper bounds, matched respectively by \(K_{3,3,3}\), the complement of \(K_2\mathbin{\dot\cup}C_7\), the complement of \(K_3\mathbin{\dot\cup}3K_2\), the complement of \(4K_2\mathbin{\dot\cup}K_1\), and \(K_9\). The \(k=1\) witness is the \(3\times3\) rook graph; a checked 21-edge witness supplies \(k=2\).

The census contains 65,249 possibly disconnected graphs satisfying the every-edge-in-a-triangle condition. OEIS A396149 already determines this aggregate from its connected counts, so no novelty claim is made for that number. Its published invariant tables do not contain the book-cap frontier (U1); this is still only a targeted search observation, not a priority claim.

The live page was rechecked through Bright Data on 2026-08-12 and remained OPEN, with zero proof claims and no current worker, collaborator, or formalisation worker. The complete producer, census, independent audit, and source captures are frozen at verification/80/n9-exact; the cold hostile recheck is frozen separately at verification/80/n9-hostile-audit.

0. Mandatory live-page check

I accessed the live page through the Bright Data browser route on 2026-07-26. I separately extracted the rendered problem page, its LaTeX view, its links and status fields, and the linked discussion thread. A full-page screenshot agreed with the extracted text. The page says it was last edited on 07 April 2026.

Verbatim live statement

Let \(c>0\) and let \(f_c(n)\) be the maximal \(m\) such that every graph \(G\) with \(n\) vertices and at least \(cn^2\) edges, where each edge is contained in at least one triangle, must contain a book of size \(m\), that is, an edge shared by at least \(m\) different triangles.

Estimate \(f_c(n)\). In particular, is it true that \(f_c(n)>n^{\epsilon}\) for some \(\epsilon>0\)? Or \(f_c(n)\gg \log n\)?

Live sources: problem page, LaTeX view.

Verbatim listed results

A problem of Erdős and Rothschild. Alon and Trotter showed that, provided \(c<1/4\), \(f_c(n)\ll_c n^{1/2}\). Szemerédi observed that his regularity lemma implies that \(f_c(n)\to \infty\).

Edwards (unpublished) and Khadzhiivanov and Nikiforov [KhNi79] proved independently that \(f_c(n) \geq n/6\) when \(c>1/4\) (see [905]).

Fox and Loh [FoLo12] proved that \[ > f_c(n) \leq n^{O(1/\log\log n)} > \] for all \(c<1/4\), disproving the first conjecture of Erdős.

The best known lower bounds for \(f_c(n)\) are those from Szemerédi's regularity lemma, and as such remain very poor.

See also [600] and the entry in the graphs problem collection.

The displayed references identify:

Rothschild on edges in triangles*, Combinatorica (2012), 619–628.

problem of P. Erdős about the maximum number of triangles with a common edge*, C. R. Acad. Bulgare Sci. (1979), 1315–1318.

Sole live comment, verbatim

The page reports one comment. Its full mathematical text is:

[Po18] by A. Potechin is another partial improvement on this problem.

Moreover, this problem is also reported to be in [Er88], [Er92] and [Er98]

[Er88]: P. Erd˝os, Problems and results in combinatorial analysis and graph theory, Proceedings of the First Japan Conference on Graph Theory and Applications (Hakone, 1986), Discrete Math. 72 (1988), p. 81-92.

[Er92]: P. Erd˝os, Some of my favourite problems in various branches of combinatorics. Combinatorics 92 (Catania, 1992). Matematiche (Catania) 47 (1992), no. 2, p. 231-240

It was posted by Alfaiz at 12:26 on 04 May 2026. The rendered [Po18] link points to https://arxiv.org/pdf/1412.1838.

Status and collaboration/proof markers

Thus the mandatory stop condition did not fire: there is no claimed proof and no current worker.

1. Primary-source literature audit

Original problem

[b] The original six-page Erdős paper exists in the Rényi archive: P. Erdős, Some problems on finite and infinite graphs (1987), PDF. On printed page 226, Problem 11 names Bruce Rothschild, defines \(f(n;c)\), records the Alon and Szemerédi observations, and asks whether \(f(n;c)>n^\epsilon\), or at least \(f(n;c)>\log n\). The downloaded primary PDF has SHA-256

b22809ce28667517eb39249bf54bff2140c548475306070989f3f8964870cb71.

The optional online mode of the checker downloads this PDF afresh, checks that digest, and checks the OCR for the stable identifying tokens.

Fox–Loh upper construction

[b] The cited paper and arXiv identifier both exist:

edges in triangles*, Combinatorica 32 (2012), 619–628, DOI 10.1007/s00493-012-2844-3, arXiv:1106.0290.

Its Theorem 1.1 gives, for all sufficiently large \(n\), an \(n\)-vertex graph with

\[ \frac{n^2}{4}\left(1-e^{-(\log n)^{1/6}}\right) \]

edges, every edge in a triangle, and no edge in more than \(n^{14/\log\log n}\) triangles. Consequently, for every fixed \(c<1/4\),

\[ f_c(n)\le n^{O(1/\log\log n)}. \]

The paper also explicitly says that Fox's improved graph-removal bound gives

\[ f_c(n)\ge 2^{\Omega_c(\log^* n)} \]

for every fixed \(c>0\). This is still vastly below \(\log n\).

Potechin's omitted threshold-regime improvement

[b] The live comment's [Po18] link is a real primary source: Aaron Potechin, A note on a problem of Erdos and Rothschild, arXiv:1412.1838. The arXiv record says it was submitted on 4 December 2014; [Po18] is the website comment's citation label, not evidence of a 2018 journal publication. I found no journal record and do not invent one.

Potechin defines the threshold-regime quantity with

\[ e(G)=\frac{n^2}{4}-nf(n). \]

His Theorem 1.3 states that, when \(f(n)\le n/1000\), either \(bk(G)>n/1000\), or

\[ f(n)\bigl(f(n)+bk(G)\bigr)bk(G)\ge \frac{n^2}{1250}. \]

Corollary 1.4 gives the explicit lower bound

\[ bk(G)\ge \min\left\{ \frac{n}{50\sqrt{f(n)}}, \frac{n^2}{2500f(n)^2}, \frac{n}{1000} \right\} \]

under the paper's stated integrality hypothesis. This is a genuine improvement near the \(n^2/4\) threshold. It does not settle fixed \(c<1/4\), where \(f(n)\) is linear in \(n\).

Later explicit reformulation

[b] Noga Alon and Adi Shraibman, Algorithmic Number On the Forehead Protocols Yielding Dense Ruzsa–Szemerédi Graphs and Hypergraphs, arXiv:2001.00387, gives explicit communication-protocol versions of the dense Ruzsa–Szemerédi and Fox–Loh-type constructions. In the graph case it recovers the same \(n^{O(1/\log\log n)}\) scale; it does not improve the open logarithmic lower bound.

Search conclusion

[c] I searched the exact title, the notations \(h(n,c)\), \(\gamma(n,f)\), and \(f_c(n)\), the phrases “every edge is in/contained in a triangle” with “booksize”, the Fox–Loh citation trail, and arXiv records through July 2026. I found Potechin and Alon–Shraibman, but no primary source claiming either \(f_c(n)\gg\log n\) or a counterexample to it. This is an honest search result, not a proof that no uncatalogued paper exists. It agrees with the live page's 2026 OPEN status.

The standalone checker has an --online-citations mode which independently validates the arXiv metadata and abstract claims above, the Fox–Loh Crossref record, and the original Erdős PDF.

2. A finite extremal formulation

For a graph \(G\), write

\[ b(G)=\max_{uv\in E(G)}|N(u)\cap N(v)| \]

for its booksize, with \(b(\varnothing)=0\). Define

\[ M_k(n)=\max\left\{ e(G): |V(G)|=n,\ \text{every edge of }G\text{ is in a triangle},\ b(G)\le k \right\}. \tag{2.1} \]

Also let

\[ F(n,E)=\min\left\{ b(G): |V(G)|=n,\ e(G)\ge E,\ \text{every edge is in a triangle} \right\}. \tag{2.2} \]

[a] Whenever \(1\le E\le\binom n2\),

\[ F(n,E)=\min\{k:E\le M_k(n)\}. \tag{2.3} \]

Indeed, \(E\le M_k(n)\) supplies a witness with at least \(E\) edges and booksize at most \(k\). If \(E>M_{k-1}(n)\), no qualifying graph with at least \(E\) edges can have booksize at most \(k-1\).

Therefore, with

\[ E_c(n)=\lceil cn^2\rceil, \]

[a]

\[ f_c(n)=F(n,E_c(n)) \tag{2.4} \]

provided \(E_c(n)\le\binom n2\). If \(E_c(n)>\binom n2\), there is no qualifying simple graph, so the universal condition is vacuous and there is no maximal finite \(m\).

3. A reusable degree-sum lemma

Lemma

[a] If \(G\) has \(n\) vertices, \(e>0\) edges, and \(b(G)\le b\), then

\[ \sum_{v\in V(G)}d(v)^2\le e(n+b) \tag{3.1} \]

and consequently

\[ e\le \frac{n(n+b)}4. \tag{3.2} \]

Proof

For an edge \(uv\), let

\[ q=|N(u)\cap N(v)| \]

and let \(r\) be the number of vertices adjacent to neither \(u\) nor \(v\). Partitioning the other \(n-2\) vertices gives

\[ d(u)+d(v)-n=q-r\le q\le b. \]

Summing over all edges,

\[ \sum_v d(v)^2 =\sum_{uv\in E(G)}(d(u)+d(v)) \le e(n+b). \]

Cauchy–Schwarz and \(\sum_vd(v)=2e\) give

\[ \frac{4e^2}{n}\le\sum_vd(v)^2\le e(n+b), \]

which yields (3.2). \(\square\)

4. Exact solution of the complete \(n=8\) finite problem

Theorem

[a] For \(n=8\),

\[ \boxed{ \bigl(M_0(8),M_1(8),\ldots,M_6(8)\bigr) =(0,12,18,21,24,24,28). } \tag{4.1} \]

The proof below is elementary. The checker independently exhausts the two delicate upper bounds \(k=1,2\).

Sharp constructions

Each row is directly checked from its description.

book cap \(k\)graphedgesactual booksize
1four triangles in a loose \(4\)-cycle121
2\(\overline K_2\vee C_6\)182
3\(K_{2,3,3}\)213
4\(K_8\) minus a perfect matching244
5\(K_8\) minus a perfect matching244
6\(K_8\)286

For the first row, one explicit set of triangles is

\[ 012,\quad 234,\quad 456,\quad 670. \]

For \(\overline K_2\vee C_6\), a cycle edge has the two apices as its common neighbors, and an apex–cycle edge has the two cycle neighbors of its cycle endpoint. Thus every edge has codegree exactly \(2\).

In a complete tripartite graph, an edge between two parts has the third part as its common neighborhood, so \(K_{2,3,3}\) has booksize \(3\).

In \(K_8\) minus a perfect matching, an edge's endpoints have two distinct forbidden partners, leaving exactly four common neighbors.

It remains to prove the upper bounds.

Cap \(k=1\): \(M_1(8)\le12\)

Suppose every edge lies in exactly one triangle. Then graph triangles are edge-disjoint, and

\[ e(G)=3|\mathcal T|. \]

If \(e(G)\ge13\), then \(e(G)\ge15\), so choose five graph triangles. Regard them as the blocks of a linear \(3\)-uniform hypergraph \(\mathcal H\) on at most eight points. It has no Berge triangle: if three blocks met pairwise in three distinct points, those intersection points would form an additional graph triangle, putting its edges in two triangles.

I now prove that no such \(\mathcal H\) exists. Let its used-point degrees be \(r_1,\ldots,r_v>0\). There are \(15\) incidences. Linearity gives

\[ \sum_i\binom{r_i}{2}\le\binom52=10. \tag{4.2} \]

If \(v\le6\), convexity makes the left side at least \(12\), so \(v\in\{7,8\}\). The positive integer partitions of \(15\) satisfying (4.2) are exactly:

\(v\)point-degree multiset\(\sum\binom{r_i}{2}\)
7\(3^2\,2^4\,1\)10
7\(3\,2^6\)9
8\(3^3\,2\,1^4\)10
8\(4\,2^4\,1^3\)10
8\(3^2\,2^3\,1^3\)9
8\(3\,2^5\,1^2\)8
8\(2^7\,1\)7

Build the intersection graph \(J\) on the five blocks. A point of degree \(r\) contributes a clique \(K_r\), and these cliques are edge-disjoint. Every triangle of \(J\) must lie in one of these designated cliques; otherwise it is a Berge triangle.

The seven rows are impossible:

  1. For \(2^7\,1\), \(J\) would be a triangle-free five-vertex graph with

seven edges, contradicting Mantel's elementary six-edge bound.

  1. For \(3\,2^5\,1^2\), \(J\) has eight edges but only one permitted

triangle. Any eight-edge graph on five vertices is \(K_5\) minus two edges and has at least \(10-2\cdot3=4\) triangles.

  1. For \(3\,2^6\), \(J=K_5-e\) has seven triangles but only one

designated \(K_3\).

  1. In either row with two \(K_3\)'s, the edge-disjoint triangles on five

block-vertices meet in one block. Every additional edge between the two opposite pairs completes a non-designated triangle through that common block. Yet the row requires three or four such edges.

  1. For \(3^3\,2\,1^4\), three triangles and one edge would partition

\(E(K_5)\). Triangle contributions give even degree at every vertex, while the final edge changes parity at its two endpoints, impossible since all \(K_5\) degrees are even.

  1. For \(4\,2^4\,1^3\), after the designated \(K_4\), the four remaining

edges join the fifth block to each \(K_4\) block. They correspond to four distinct intersection points on that fifth block, impossible for a three-element block.

This contradiction proves \(e(G)\le12\). The loose \(4\)-cycle shows equality.

The checker also verifies this bound independently by inspecting all

\[ \binom{56}{5}=3{,}819{,}816 \]

five-triangle families on eight labelled vertices. Exactly 84,000 families are edge-disjoint, and every one has an additional triangle in its edge union.

Cap \(k=2\): \(M_2(8)\le18\)

The degree-sum lemma first gives \(e(G)\le20\). Suppose \(e(G)\in\{19,20\}\), and let \(H=\overline G\). For a nonedge \(uv\) of \(H\), equivalently an edge of \(G\),

\[ |N_G(u)\cap N_G(v)| =6-|N_H(u)\cup N_H(v)|. \]

Every \(G\)-edge is in one or two triangles, so

\[ |N_H(u)\cup N_H(v)|\in\{4,5\} \quad\text{for every nonedge }uv\text{ of }H. \tag{4.3} \]

First, \(\delta(H)\ge2\). A degree-zero vertex and each of its seven nonneighbors force all seven other degrees to be at least \(4\), far above either available degree sum. If \(d_H(u)=1\), then each of the six vertices other than \(u\) and its neighbor has degree at least \(3\) by (4.3), again forcing degree sum at least \(20\).

If \(e(G)=20\), then \(e(H)=8\), so every \(H\)-degree is \(2\). The two neighbors of any vertex share that vertex. If they were nonadjacent, their neighborhood union would have size at most \(3\), contradicting (4.3). Hence every component of the \(2\)-regular graph \(H\) is a triangle, impossible on eight vertices.

If \(e(G)=19\), then \(e(H)=9\). Since all degrees are at least \(2\) and sum to \(18\), the degree multiset is one of

\[ (4,2,2,2,2,2,2,2), \qquad (3,3,2,2,2,2,2,2). \tag{4.4} \]

For any vertex \(w\), its degree-two neighbors form a clique: two nonadjacent such neighbors would share \(w\) and have neighborhood union at most \(3\), violating (4.3). Such a clique has at most two vertices, because each already uses one edge to \(w\).

The first sequence in (4.4) is therefore impossible: its degree-four vertex has four degree-two neighbors. In the second sequence, call the degree-three vertices \(x,y\). Each has at most two degree-two neighbors, hence \(xy\in E(H)\), and each has exactly two low-degree neighbors. Those two pairs must be disjoint; a shared low neighbor would already have degree two from \(x,y\), but cliquehood at \(x\) would force a third edge. Each pair is itself adjacent and therefore saturated. The two remaining degree-two vertices can then only meet each other, leaving them with degree one. This final contradiction proves \(e(G)\le18\).

As an independent audit, the checker generates every labelled complement with the degree sequences surviving the argument:

None satisfies (4.3).

Cap \(k=3\): \(M_3(8)\le21\)

The degree-sum lemma gives \(e\le22\). If \(e=22\), the degree sum is \(44\). Among eight integer degrees with this sum, the minimum square sum is attained by four \(5\)'s and four \(6\)'s:

\[ \sum_vd(v)^2\ge4\cdot25+4\cdot36=244. \]

But (3.1) gives

\[ \sum_vd(v)^2\le22(8+3)=242, \]

a contradiction. Thus \(e\le21\), sharply attained by \(K_{2,3,3}\).

Cap \(k=4\): \(M_4(8)\le24\)

Equation (3.2) immediately gives

\[ e\le\frac{8(8+4)}4=24, \]

sharply attained by \(K_8\) minus a perfect matching.

Cap \(k=5\): \(M_5(8)\le24\)

Equation (3.2) first gives \(e\le26\). If \(e=25\) or \(26\), then \(\overline G\) has only three or two edges. Those missing edges touch at most six vertices, so at least two vertices are isolated in \(\overline G\). Their edge in \(G\) has all other six vertices as common neighbors, giving a book of size \(6\), contrary to the cap. Thus \(e\le24\), again attained by \(K_8\) minus a perfect matching.

Cap \(k=6\)

The complete graph \(K_8\) has 28 edges and booksize 6, and no simple eight-vertex graph has more edges.

This completes the proof of (4.1).

Exact value of \(f_c(8)\)

Combining (2.3) with (4.1), [a]

\[ F(8,E)= \begin{cases} 1,&1\le E\le12,\\ 2,&13\le E\le18,\\ 3,&19\le E\le21,\\ 4,&22\le E\le24,\\ 6,&25\le E\le28. \end{cases} \tag{4.5} \]

In particular, there is no edge threshold for which the forced value is exactly \(5\).

Since \(E=\lceil64c\rceil\), [a]

\[ \boxed{ f_c(8)= \begin{cases} 1,&0<c\le3/16,\\ 2,&3/16<c\le9/32,\\ 3,&9/32<c\le21/64,\\ 4,&21/64<c\le3/8,\\ 6,&3/8<c\le7/16. \end{cases}} \tag{4.6} \]

For \(c>7/16\), no simple graph on eight vertices has \(64c\) edges, so the defining universal class is empty.

5. Independent exact census for \(3\le n\le7\)

The checker uses two independent exhaustive methods.

  1. Union generation. Start with \(\{0\}\) and repeatedly adjoin the

bitwise union with each triangle edge-mask. This produces exactly all unions of triangles.

  1. All-mask scan. Inspect all \(2^{\binom n2}\) labelled graphs,

retain a graph iff the union of its present triangles equals its full edge set, and compute all edge codegrees directly from bit-set neighborhoods.

[a] The completeness observation is exact: every edge of \(G\) lies in a triangle iff \(G\) is the union of its triangles. Thus the first method omits no admissible graph, and the second is an independent cross-check.

Both methods return the following frontiers. These rows are [d] computational-only for \(n\le7\); the \(n=8\) row is the elementary theorem proved above.

\(n\)\(M_0(n),M_1(n),\ldots,M_{n-2}(n)\)
3\(0,3\)
4\(0,3,6\)
5\(0,6,8,10\)
6\(0,6,12,12,15\)
7\(0,9,15,16,18,21\)
8\(0,12,18,21,24,24,28\)

The exact numbers of admissible labelled graphs by exact booksize are:

\(n\)booksize \(0,1,\ldots,n-2\)
3\(1,1\)
4\(1,4,7\)
5\(1,25,110,51\)
6\(1,120,2487,2796,711\)
7\(1,1155,78956,193396,118692,17725\)

The total admissible labelled graph counts are

\[ 2,\ 12,\ 187,\ 6115,\ 409925 \]

for \(n=3,4,5,6,7\), respectively. The two methods also agree on a SHA-256 digest of the full increasing mask list at each \(n\), not only on these aggregate statistics.

6. Exact reduction to the quantitative triangle-removal bottleneck

Let \(\delta_\triangle(\varepsilon)\) denote any valid triangle-removal function in the following convention:

Every \(n\)-vertex graph requiring deletion of at least \(\varepsilon n^2\) edges to become triangle-free contains at least \(\delta_\triangle(\varepsilon)n^3\) triangles.

Suppose \(G\) has \(e(G)\ge cn^2\), every edge lies in a triangle, and \(b(G)\le b\). Let \(T\) be its number of triangles and let \(\tau_\triangle(G)\) be the minimum number of edges meeting every triangle.

[a] Since every edge is covered,

\[ 3T=\sum_{uv\in E(G)}|N(u)\cap N(v)|\ge e(G). \]

Since a single edge meets at most \(b\) triangles, every triangle edge cover has size at least

\[ \tau_\triangle(G)\ge\frac{T}{b} \ge\frac{e(G)}{3b} \ge\frac{c}{3b}n^2. \tag{6.1} \]

On the other hand,

\[ 3T\le b\,e(G)\le b\binom n2<\frac{bn^2}{2}, \]

so \(T<bn^2/6\).

Applying the triangle-removal lemma at \(\varepsilon=c/(3b)\) gives the exact implicit obstruction

\[ \boxed{ \delta_\triangle\!\left(\frac{c}{3b}\right) <\frac{b}{6n}. } \tag{6.2} \]

Thus any \(b\) for which the reverse strict inequality holds is too small to be the booksize of a qualifying graph.

What would make the logarithmic bound follow by this route

[b] Fox's quantitative graph-removal theorem, substituted into (6.2), yields the known \(2^{\Omega_c(\log^*n)}\) lower bound. Its tower dependence does not reach \(\log n\).

[a] A bound of the form

\[ \delta_\triangle(\varepsilon)\ge \exp(-C/\varepsilon) \tag{6.3} \]

for all sufficiently small \(\varepsilon\) would be enough. Indeed, put \(b=\alpha\log n\). Then (6.3) gives

\[ \delta_\triangle(c/(3b)) \ge n^{-3C\alpha/c}. \]

Choosing, for example, \(\alpha<c/(6C)\) makes this at least \(n^{-1/2}\), which is eventually larger than \(b/(6n)=O(\log n/n)\), contradicting (6.2). Hence (6.3) would imply \(f_c(n)\gg_c\log n\).

[c] I do not prove (6.3), and do not claim that a general removal bound of precisely this strength is necessary. The exact missing input for this standard route is the scale-specific inequality

\[ \delta_\triangle(c/(3b))>\frac{b}{6n} \quad\text{for }b\asymp\log n. \]

A theorem tailored to triangle-covered, bounded-book graphs could also supply it without improving the full triangle-removal lemma.

This identifies the genuine uniformity gap: the finite frontiers and explicit \(n=8\) solution do not give a bound uniform in \(n\). In particular, the \(b=1\) case is already tied to the Ruzsa–Szemerédi \((6,3)\) phenomenon; finite exclusion is not the asymptotic density statement.

7. Reproducibility and cost

The standalone checker is

runs/erdos80_wave5h_verify.py.

It uses only the Python standard library. Run:

python runs/erdos80_wave5h_verify.py

On this VM it completed all finite checks in about 20 seconds. It:

independent scan of every labelled graph mask;

bound;

classes relevant to \(M_2(8)\);

To re-fetch and validate the primary-source citation records as well, run:

python runs/erdos80_wave5h_verify.py --online-citations

That mode completed in about 23 seconds and reported every citation audit PASS.

In the initial 2026-07-26 run I did not perform a naive labelled \(n=9\) all-graph scan. It would inspect

\[ 2^{\binom{9}{2}}=2^{36}=68{,}719{,}476{,}736 \]

masks. Scaling the measured \(n=7\) scan gives roughly 109 single-core hours at the same per-mask throughput, about 4.5 core-days (roughly \$5.50–\$16.50 at \$0.05–\$0.15/core-hour). Since a nine-vertex mask has more triangles to inspect, this is optimistic. It would still be only a finite result. The 2026-08-12 update above instead uses exactly the suggested structural generation and certified SAT route.

8. Outcome

The asymptotic logarithmic question remains open. The concrete progress now includes the exact frontiers at \(n=8\) and \(n=9\), explicit extremal graphs at every book cap, independent exhaustive censuses, and the precise quantitative triangle-removal inequality that the standard lower-bound route must beat.

PARTIAL: Exact independent computations now give \(M_k(9)=(0,18,21,27,28,30,32,36)\), extending the complete frontier through nine vertices; the asymptotic problem remains open at the same triangle-removal scale.

This is the AI working report, labelled by outcome — not an independently verified claim unless marked PROVED. ← ledger