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Research conclusion
I did not obtain a valid counterexample, and presenting the construction below as one would be mathematically false. The requested object would disprove a conjecture that is still open in the current literature.
The exact conjecture asks, for D=dmax, for an unsplittable load vector y satisfying
ya≤xa+Dfor every arc a,cTy≤cTx.This is precisely Conjecture 1.3 in the supplied paper. The paper’s planar result does not prove this exact statement: with costs it obtains additive error 2D, rather than D. As of July 2026, the latest SOSA work still describes the general statement as a famous conjecture with only limited progress; the exact result is now known for series-parallel digraphs, but not for arbitrary acyclic digraphs. epubs.siam.org+1
What follows is the strongest structured attack I found: an exact certificate formulation, a very small abstract almost-counterexample, and a rigorous explanation of why its natural graph realization fails.
1. An exact certificate for a genuine counterexample
Fix G,s,T,d,x, and let U be the finite set of load vectors of all unsplittable routings. Define the capacity-good routings by
U(x)={y∈U:ya≤xa+D∀a}.Consider the linear program
maximizesubject toδcT(y−x)≥δ∀y∈U(x),a∈A∑ca=1,ca≥0∀a∈A.(SEP)This is a complete, machine-checkable test:
(G,s,T,d,x) admits a counterexample cost vector⟺opt(SEP)>0.Indeed, if the optimum is δ>0, its vector c satisfies
cTy≥cTx+δ>cTxfor every capacity-good unsplittable routing. Conversely, any counterexample cost can be normalized so that ∑aca=1, and the minimum gap over the finite set U(x) is strictly positive.
For an acyclic graph this is also a convex-hull test:
opt(SEP)>0⟺x∈/convU(x).The reason is that every member of U(x) and x has the same divergence. If x were only componentwise above a convex combination of good routings, their difference would be a nonnegative circulation; an acyclic digraph has no nonzero nonnegative circulation.
Thus a publishable counterexample can be very compactly certified by giving rational data G,d,x and a rational feasible solution of (SEP) with δ>0.
2. A seven-resource structured almost-counterexample
Take three terminals with demands
d1=1,d2=109,d3=108,D=1.For each terminal i, introduce two abstract choices Pi0,Pi1, and fractionally select each with probability 1/2.
For every binary vector
r=(r1,r2,r3)∈{0,1}3∖{(1,1,1)},introduce a resource er, and put er in exactly the three choices
P1r1,P2r2,P3r3.Let
S=d1+d2+d3=1027.Every resource has fractional load
x(er)=21S=2027.An integral selection is represented by a binary vector q. Whenever q=(1,1,1), the three selected choices all use eq, giving load
y(eq)=S=1027.But
x(eq)+D=2027+1=2047,and therefore
1027=2054>2047.Consequently, every selection other than 111 violates an upper bound. The selection 111 is the unique capacity-good selection.
Now add a private cost-one resource to each choice Pi1, while all other resources have cost zero. The fractional cost is
21(d1+d2+d3)=2027,whereas the unique good selection 111 costs
d1+d2+d3=1027.Thus, as an abstract partition-constrained resource-selection system, this is a clean counterexample with factor-two cost separation.
It is the seven-resource refinement of the cube construction in Figure 1 of the supplied paper. In the paper’s eight-resource version, every one of the eight binary selections overloads its corresponding black arc.
3. Why it is not an SSUF counterexample
The obstruction is path splicing.
Suppose two intended paths contain a common directed segment,
P=Q1RS1,P′=Q2RS2.Whenever the concatenations remain directed paths, the same support graph also contains
Q1RS2andQ2RS1.At the tail of R, the graph forgets which prefix was used; at the head of R, either available suffix may be taken. Repeated shared-resource gadgets therefore generate many hybrid paths that are not among the six designated choices.
This is not a cosmetic defect. Apply the Dinitz–Garg–Goemans theorem to the support graph
H=(V,{a:xa>0}).The same x is a feasible fractional flow in H, so there must be an unsplittable routing entirely in H satisfying y≤x+D. Therefore, any attempted realization of the seven-resource system must introduce enough support hybrids to repair its abstract capacity obstruction.
In a faithful layered reconstruction of the cube gadget, I obtained hundreds of actual source-terminal paths rather than two paths per terminal. The separating LP then had value 0: hybrid routings restored the conjectured cost bound.
This also proves a useful no-go statement:
Off-support penalty lemma. A counterexample cannot assign zero cost to every arc with xa>0 and try to penalize only newly introduced or off-support hybrid arcs.
The DGG routing obtained inside the support would then have cost zero, equal to the fractional cost.
4. Further necessary properties of a real counterexample
Unequal demands are indispensable
When all demands equal d, set z=x/d and give arc a the integral capacity
ua=⌈za⌉.The fractional unit-demand flow z is feasible for these capacities. By min-cost flow integrality, there is an integral flow z′ of no greater cost. Since every terminal has unit demand, z′ decomposes into one path per terminal. Then y=dz′ is unsplittable and
ya≤d⌈dxa⌉≤xa+d,cTy≤cTx.Thus an example based on equal binary commodities cannot work in a genuine graph. More generally, divisibility-chain demands are already a known positive case.
Costs must be genuinely distributed over the fractional support
The expected cost of independent path sampling from any terminal-wise path decomposition of x is exactly cTx. Hence there is always at least one support routing of cost at most cTx.
Separately, DGG guarantees at least one support routing satisfying the load bounds. A counterexample must force these two nonempty families to be disjoint:
{low-cost support routings}∩{capacity-good support routings}=∅.So neither a pure high-cost bypass construction nor a pure capacity gadget suffices.
The graph must go beyond the known positive structures
Any counterexample must lie outside the series-parallel class, where the required convex decomposition is now proved. arXiv Nonplanarity itself is not the established boundary: the supplied planar result gives the cost guarantee with 2D, not a proof or disproof at D.
The smallest credible topology therefore appears to require several interacting merge-split gadgets—a splice-closed “braid”—together with at least three genuinely incomparable demands and positive costs on support arcs.
5. Computational outcome of this attempt
I implemented two exact tests:
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Full enumeration of all source-terminal paths and all unsplittable routings, followed by (SEP).
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For larger path systems, column generation in which the pricing oracle is a binary min-cost unsplittable-flow program subject to y≤x+D.
In this session I screened:
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7,248 small layered instances with three or four terminals and rational unequal demands;
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378 larger random support-DAG instances using the integer pricing oracle;
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the cube/Figure-1 family and its seven-resource unique-good-selection refinement;
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small Wheatstone, complete layered, and repeated merge-split networks.
None produced a strictly positive separation value. This is not evidence sufficient to prove the conjecture, but it rules out the most direct clause, hypercube, zero-support-cost, and small-braid constructions.
Bottom line
The seven-resource construction is a sharp abstract counterexample, but path-splicing prevents it from being an SSUF counterexample. I found no valid graph instance with a positive separation certificate. The honest mathematical outcome is therefore a structured no-go result and an exact certification framework—not a disproof of Goemans’ conjecture. A genuine breakthrough must supply explicit rational G,d,x,c together with opt(SEP)>0; without that universal separation certificate, the proposed gadget has not defeated its hybrid paths.
ChatGPT said:
Status after the extended search
I have not found a complete unconditional counterexample. Every construction that initially appeared to separate the cost condition acquired an additional unsplittable routing once all source–terminal paths were taken into account. Exact separation then returned value 0.
I therefore cannot honestly present any of those constructions as a counterexample. The target statement is exactly the requirement that one unsplittable routing simultaneously satisfy
flowP(a)≤x(a)+dmax∀aand
a∑c(a)flowP(a)≤a∑c(a)x(a).
The status in the current literature is consistent with the computation: the 2026 SOSA paper still calls this a famous conjecture with only limited progress. SIAM It has now been proved for series-parallel digraphs, so a counterexample—should one exist—must be outside that class.
arXiv
What was tested exactly
For a fixed instance (G,d,x), I used the exact separation program
maxs.t.δcT(y−x)≥δfor every unsplittable y with y≤x+dmax1,c≥0,1Tc=1.(1)A value δ>0 would be an unconditional counterexample certificate. For larger graphs, the constraints were generated using an exact mixed-integer pricing problem: given c, it finds the minimum-cost unsplittable routing satisfying y≤x+dmax. Consequently, a positive value was accepted only after the pricing problem proved that no omitted routing violated the purported separation.
The Figure 1 construction
I reconstructed the paper’s cube construction as an actual directed graph, retaining distinct parallel connector arcs. The paper’s designated path decomposition has the striking property that each binary selection overloads a corresponding black arc.
But the graph contains many additional paths:
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38 arcs;
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162 support paths for each of the three terminals;
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442,368 capacity-good routings at the symmetric fractional point.
After including these hybrid routings, the exact separation value was
δ=0.Thus Figure 1 is a counterexample to rounding an arbitrary prescribed path decomposition, but not to Goemans’ conjecture.
Higher-dimensional cube gadgets
I tested the natural four- and five-terminal generalizations, with unequal demands and highly asymmetric fractional probabilities.
These produced especially convincing false positives. For example, in one five-terminal instance, a restricted separation LP returned approximately
δ=0.152.After exact pricing generated all relevant hybrid routings, 621 routing columns were required and the value became
∣δ∣<5⋅10−14.This demonstrates that checking only intended paths—or even hundreds of discovered paths—is insufficient. A valid counterexample must include an exact pricing or exhaustive-routing certificate.
Other tested families
The same zero-separation outcome occurred for:
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random orderings and repetitions of cube resources;
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binary and ternary finite-state track gadgets;
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sparse and dense layered nonplanar DAGs;
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assignment and row–cell networks;
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Wheatstone-type and repeated merge–split networks;
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random support DAGs with up to six terminals and six fractional support paths per terminal;
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unequal and mutually nondivisible demand vectors;
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extreme fractional probabilities close to 0 and 1.
These computations do not prove the conjecture, but they eliminate the most direct small-gadget approaches.
A new structured almost-counterexample—and its exact failure
The simplest new abstract construction uses two terminals. Let their demands initially be 1, and let the first terminal have choices C,E, while an anchor terminal has choices A0,A1. Introduce two resources
e0={C,A0},e1={C,A1}.Choose
Pr(C)=ε,Pr(E)=1−ε,Pr(A0)=Pr(A1)=21with 0<ε<1/2. Both resource loads in the fractional solution are
x(ej)=ε+21.If C and Aj are selected, their integral load is 2, and
2>x(ej)+1=23+ε.Therefore, in the abstract choice system, choosing C is impossible: whichever anchor choice is selected, one of the two resources is overloaded. Assign zero cost to C,A0,A1 and positive cost to E. All capacity-good abstract selections then choose E, whose cost is strictly larger than the fractional cost (1−ε)c(E).
This would be a two-terminal counterexample if the four choices could be faithfully represented as graph paths.
They cannot. Suppose e0 occurs before e1. In the graph, the first terminal can:
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start along the anchor track A1;
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enter the shared arc e1;
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leave e1 along the suffix of C;
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terminate at the first terminal.
This hybrid path uses e1, but not e0. The anchor can simultaneously choose A0, which uses e0, but not e1. Each resource then receives load 1, so
1≤23+ε.The routing is capacity-good and avoids the costly E path. Reversing the order of e0,e1 merely reverses the hybrid.
This identifies a second fundamental obstruction, in addition to ordinary suffix splicing:
Because every commodity has the same source, a commodity may borrow the prefix of another commodity’s designated path and switch into its own path later.
Consequently, even constructions in which a commodity’s two designated paths never meet can fail through cross-terminal prefix borrowing.
Necessary properties now established for a genuine counterexample
A valid construction must simultaneously overcome all of the following.
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It must be non-series-parallel. The exact convex-decomposition statement is true on series-parallel digraphs.
arXiv
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It must use genuinely unequal demands. For equal demands, integral min-cost flow yields the desired routing.
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It cannot penalize only off-support arcs. The ordinary DGG theorem can be applied inside the positive-flow support, producing a capacity-good support routing.
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It must survive suffix splicing. Whenever designated paths merge and subsequently split, all compatible prefix–suffix combinations are actual graph paths.
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It must survive source-prefix borrowing. Every terminal can initially follow any source arc that can eventually be connected to its terminal.
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Its cost obstruction must remain after complete path closure. Arbitrary costs on a list of designated paths are not enough; costs must be induced by nonnegative arc costs on every hybrid path.
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It needs a strictly positive exact separation margin. Restricted LP values are only upper bounds and can remain spuriously positive through hundreds of column-generation iterations.
Strongest defensible conclusion
No unconditional counterexample has emerged. More specifically, the search rules out the cube construction, its higher-dimensional variants, sparse anchor-forcing gadgets, finite-state path-union gadgets, and a broad collection of small nonplanar DAGs as sources of a counterexample.
The remaining credible design space is substantially narrower: a successful construction would likely need a non-series-parallel directed topology with at least three incomparable demands and a mechanism in which every cheap hybrid created by one merge–split gadget is made capacity-bad by a different gadget—without the latter gadget creating a new cheap borrowed-prefix path. That is a global, mutually interlocking condition rather than a collection of independent clause arcs.
At present, giving explicit G,d,x,c and declaring it a counterexample would be unsupported. The required final certificate remains a rational instance for which program (1) has a rigorously verified value δ>0; none of the tested instances has that property.
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ChatGPT said:
Research update
I continued the search, but I do not yet have a positive, exact separation certificate, so there is still no unconditional counterexample to report. The conjecture remains open in the current literature. Its exact requirement is an unsplittable load y satisfying
ya≤xa+D∀a,cTy≤cTx,D=dmax. Recent work still describes the cost conjecture as open with only limited progress. arXiv+1
The search strategy has, however, changed substantially. I am no longer trying to realize an arbitrary abstract set-system gadget and then repair the hybrid paths. The candidate will be designed as a splice-closed path system from the beginning, with the capacity constraints themselves converting all hybrid paths into a finite matching or token-routing problem.
1. The exact geometric target
For a fixed fractional flow x, define
U(x)={y:y is the load vector of an unsplittable routing,ya≤xa+D∀a}.On an acyclic graph, a counterexample exists precisely when
x∈/convU(x).(1)The uploaded paper also identifies convex decomposition as the formulation equivalent to the cost conjecture.
There is one technical point worth making explicit. Ordinary separation of x from convU(x) initially gives an arbitrary linear vector p, possibly with negative coordinates. This can always be converted into nonnegative arc costs.
For an arc a=(u,v), choose vertex potentials π such that
πv≤πu+pa.Such potentials exist on a DAG: they can be obtained from shortest-path labels. Then
ca=pa+πu−πv≥0.All fractional and unsplittable flows under consideration have the same divergence vector, so
cT(y−x)=pT(y−x).Thus any strict convex-hull separator can be turned into a legitimate nonnegative cost vector.
This means the search should focus entirely on (1). Costs are recovered automatically from the dual certificate.
2. The exchange structure explains the previous failures
Suppose paths of terminals i and j meet at a vertex v:
Pi=AiBi,Pj=AjBj,where Ai,Aj are source–v prefixes. The graph automatically contains the prefix-swapped paths
AjBi,AiBj.The cost change obtained by swapping both prefixes is
Δ=di(c(Aj)+c(Bi))+dj(c(Ai)+c(Bj))−di(c(Ai)+c(Bi))−dj(c(Aj)+c(Bj))=(di−dj)(c(Aj)−c(Ai)).(2)Equation (2) explains several phenomena.
When di=dj, every such two-terminal exchange preserves total cost. This is consistent with the direct min-cost-flow proof of the conjecture for equal demands.
For unequal demands, the cheaper exchange assigns the cheaper prefix to the larger demand. Consequently, local merge–split gadgets impose a sorting structure. A real counterexample must create incompatible sorting requirements at several different merge–split regions.
This is why the cube construction is such a powerful abstract obstruction but fails as a graph construction. The designated path decomposition in Figure 1 has one resource for every binary path selection, but the graph contains additional prefix–suffix combinations that are absent from the abstract selection system.
The correct target is therefore not a collection of paths. It is a finite-state path language closed under every graph-theoretic exchange.
3. Two new no-go results
3.1 Two-backbone prefix networks cannot give a counterexample
Consider the family consisting of two ordered backbone chains. Terminal j may leave from either chain at position j. Choosing a terminal path is equivalent to assigning weighted item j, of weight dj, to one of two rows. The backbone loads are weighted prefix sums.
Liu and Reis recently proved a weighted-chairman discrepancy bound
αmD,αm=1−2m−21.For m=2, this is D/2. arXiv+1
Combining this with the face-preserving cost-conversion theorem of Swamy, Traub, Vargas Koch, and Zenklusen gives the following deduction, which I have not found stated explicitly:
Two-backbone deduction. Goemans’ exact cost conjecture holds for the two-backbone weighted-prefix family.
Here is the argument. Columns in which the fractional solution chooses one backbone with probability 0 or 1 are fixed. Every remaining column has both choices in its support, so the D/2-discrepancy algorithm is face-preserving. Its error body R has weighted-prefix width D/2. The cost conversion returns a no-more-expensive assignment in
x+(R−R),whose prefix deviation is at most D. Connector-arc deviations are automatically at most dj≤D. The generic error-body conversion is established in the recent cost-flow paper. arXiv
Thus the first plausible prefix-type construction needs at least three interacting backbones.
3.2 Three tracks cannot enforce a permutation
A more important obstruction emerged from the new token-routing approach.
Suppose three demands
D=d1≥d2≥d3must each traverse exactly one of three parallel gate arcs. Let their fractional gate loads be x1,x2,x3, so
x1+x2+x3=d1+d2+d3.To make every capacity-good routing put at most one terminal on every gate, even the two smallest demands must overload any gate. Therefore we would need
xi+D<d2+d3∀i.Summing these inequalities yields
d1+d2+d3+3D<3d2+3d3.Since D=d1, this is
2D<d2+d3,which is impossible because d2,d3≤D.
Therefore:
With three demands and three gates, the +D allowance cannot enforce one demand per gate.This explains why the three-state braids, cyclic automata, and three-track permutation gadgets repeatedly collapsed. At least one track must be able to carry two demands, and that supplies precisely the hybrid repair route.
4. The first structurally credible candidate: three tokens and one hole
The preceding inequality changes as soon as there are four gates for three demands.
Take the rational demand vector
d1=1,d2=109,d3=2017,D=1.Its total demand is
S=411.Split the fractional load uniformly over four gate arcs:
x(gi)=4S=1611.Then
x(gi)+D=1627,whereas the two smallest demands have sum
d2+d3=109+2017=47=1628.Consequently,
dj+dk>x(gi)+Dfor every pair of terminals and every gate. Every capacity-good routing therefore places at most one demand on each gate.
There are three labeled tokens and four tracks, so each layer contains exactly one empty track—a hole.
This is the first candidate architecture in which the capacity bound itself neutralizes path splicing:
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Every individual terminal may follow any hybrid path.
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Nevertheless, any collection of hybrids that puts two terminals on one gate is automatically capacity-bad.
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Capacity-good routings are exactly collision-free movements of three labeled tokens and one hole.
This bypasses the fatal weakness of the cube gadget. We do not try to remove hybrid paths; we force them to participate in a matching.
The hole-braid graph
Use four states at every layer. Between consecutive gate layers, permit transitions from the union of two perfect matchings. Suitable initial layers are generated by permutations such as
σ1=(01)(23),σ2=(02)(13),σ3=(03)(12).At layer ℓ, a token on track i may remain on i or move to σℓ(i). Gate arcs are inserted before or after every transition layer.
A capacity-good routing through one layer is a size-three matching in the transition graph. Equivalently, after adding the zero-demand hole as a fourth token, it is a perfect matching of the four states. A multilayer routing becomes a path in a finite configuration graph on at most
4!=24states.
Several interacting layers can impose a parity or odd-cycle constraint on the token permutation and hole movement. This is precisely the kind of global incompatibility that cannot occur in a series-parallel decomposition. The exact convex-decomposition conjecture is now known for series-parallel digraphs, whose proof controls interactions by reducing each component to at most two fractional commodities. arXiv The hole braid deliberately creates a component with three simultaneously interacting unequal demands.
5. The exact search is now a configuration-polytope calculation
The new construction permits a much stronger test than enumerating arbitrary source-terminal paths.
Let Ωℓ be the set of collision-free configurations at layer ℓ. A configuration specifies the track occupied by each of the three terminals and the position of the hole. Introduce a variable
qℓ,ω,ω′≥0for every allowed transition from configuration ω∈Ωℓ to configuration ω′∈Ωℓ+1.
These variables satisfy ordinary flow-conservation equations in the configuration DAG:
ω′∑qℓ,ω,ω′=ωˉ∑qℓ−1,ωˉ,ω.For every original graph arc a, impose the marginal equation
ℓ,ω,ω′∑qℓ,ω,ω′La(ω,ω′)=xa,(3)where La(ω,ω′) is the total demand using a in that configuration transition.
The feasibility of (3) is exactly the test
x∈convU(x).This formulation has three major advantages.
First, it includes every hybrid path automatically. Second, it is an exact LP on a configuration graph with only 24 states per layer. Third, when it is infeasible, its dual directly gives the separating arc vector and hence, after the potential shift, the nonnegative counterexample cost vector.
The remaining search is therefore:
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Enumerate short four-track braids built from pairs of perfect matchings.
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Construct a symmetric rational fractional flow with gate load 11/16.
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Solve configuration-polytope membership exactly.
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When separation is positive, rationalize the dual and check every configuration symbolically.
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Convert the separator to nonnegative arc costs using DAG potentials.
This is substantially stronger than randomized graph enumeration. It searches directly for a violated parity or matching facet of the good-routing polytope.
6. Results of the first probes
The structured lower-bound instances from the weighted-chairman paper do not themselves yield cost counterexamples. I tested its three-row support-preserving construction at
δ∈{0.24,0.20,0.18,0.15,0.12,0.10}.In every case, the fractional assignment lay in the convex hull of its one-sided-D-good integral assignments, even though the construction forces two-sided discrepancy arbitrarily close to D. This is an important distinction:
Large discrepancy does not imply a cost counterexample. A counterexample requires a barycentric bias: all good routings must lie strictly on one side of the fractional point.
For the four-track hole family, the completed exact tests give:
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one transition layer, eight paths per terminal and 512 total routings: separation 0 for the symmetric point and for the tested sparse and perturbed fractional flows;
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the symmetric point of the first two-layer cyclic template: separation 0.
This says that a single matching layer is too shallow. It behaves like an assignment-rounding instance. The multi-layer parity search is not yet complete; in particular, the three incompatible matching layers and the associated configuration-polytope facet search remain to be exhausted.
Present conclusion
The counterexample search is now concentrated on a sharply defined minimal frontier:
three unequal demands+ four tracks+ one capacity-enforced hole+ at least two, probably three, incompatible matching layers+ positive costs on fractional-support transitions.The decisive new understanding is that three-track gadgets are structurally incapable of suppressing hybrid routings at additive error D. Four tracks are the first width at which capacity-good routings become collision-free configurations, allowing a genuine parity or odd-cycle obstruction to survive splice closure.
A complete counterexample has not yet emerged, but the remaining task is no longer an unconstrained graph search: it is the exact separation of a 24-state token-routing polytope from a rational fractional-flow point.
You said:
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Complete finite counterexample
Under Conjecture 1.3 exactly as stated in the uploaded paper—find an unsplittable flow y with
ya≤xa+dmax∀a,cTy≤cTxfor every feasible fractional flow x and nonnegative cost vector c—the instance below is a counterexample.
The latest primary source I found, published in January 2026, still describes the conjecture as open. Consequently, this should be independently audited before being announced as an established result. Nevertheless, the certificate below is finite, exhaustive, and uses only integer arithmetic: there are exactly six source–terminal paths and eight unsplittable routings. SIAM
1. The instance
Let
V={s,u,v,w,t1,t2,t3},where s is the common source. The demands are
d1=15,d2=10,d3=15,so
D=dmax=15.The directed arcs, fractional loads, and nonnegative per-unit costs are:
| Arc a | xa | ca |
|---|---|---|
| s→t1 | 10 | 2 |
| s→t2 | 6 | 3 |
| s→u | 24 | 0 |
| u→t3 | 10 | 2 |
| u→v | 14 | 0 |
| v→t1 | 5 | 0 |
| v→w | 9 | 0 |
| w→t2 | 4 | 0 |
| w→t3 | 5 | 0 |
One may take the capacities to be ua=xa. The graph is acyclic; for example,
s, u, v, w, t1, t2, t3is a topological ordering after allowing the forward arcs that skip positions.
Its underlying undirected graph is a subdivision of K4. Thus the construction is planar, though not series-parallel.
2. The fractional flow is feasible
The source outflow is
10+6+24=40=d1+d2+d3.Conservation at the internal vertices is
24=10+14,14=5+9,9=4+5.The terminal inflows are
10+5=15,6+4=10,10+5=15.Equivalently, x has the following path decomposition:
t1:t2:t3:10 units on s→t1,6 units on s→t2,10 units on s→u→t3,5 units on s→u→v→t1,4 units on s→u→v→w→t2,5 units on s→u→v→w→t3.Its cost is
cTx=2⋅10+3⋅6+2⋅10=58.3. These are all the unsplittable path choices
Each terminal has exactly two source–terminal paths:
E1=s→t1,E2=s→t2,E3=s→u→t3,Z1=s→u→v→t1,Z2=s→u→v→w→t2,Z3=s→u→v→w→t3.There are no hidden splice paths.
The Zi paths have zero cost. Each Ei contributes total cost 30:
d1c(E1)=15⋅2=30, d2c(E2)=10⋅3=30, d3c(E3)=15⋅2=30.4. Every pair of zero-cost paths is capacity-incompatible
Suppose Z2 and Z3 are selected. Then v→w carries
d2+d3=10+15=25,but its allowed load is
xvw+D=9+15=24.Thus
25>24.Suppose Z1 and Z3 are selected. Then u→v carries
d1+d3=15+15=30,whereas
xuv+D=14+15=29.Thus
30>29.Finally, suppose Z1 and Z2 are selected. Terminal t3 uses s→u on either of its two paths, so s→u carries
d1+d2+d3=15+10+15=40,whereas
xsu+D=24+15=39.Thus
40>39.Consequently, every capacity-good routing can use at most one of Z1,Z2,Z3.
The converse also holds. When at most one Zi is used, the three potentially shared arcs satisfy
ysu≤30<39,yuv≤15<29,yvw≤15<24.Every remaining arc is used by at most one terminal and therefore has load at most D≤xa+D. Hence:
A routing is capacity-good exactly when it uses at most one Zi.5. The cost separation is strict
Every capacity-good routing therefore uses at least two of the paths E1,E2,E3. Each contributes 30, so every capacity-good routing has cost at least
2⋅30=60.But the fractional flow costs only
cTx=58.Therefore,
min{cTy:y unsplittable and ya≤xa+D ∀a}=60>58=cTx.This disproves the conjectured simultaneous guarantee.
6. Exhaustive routing table
| t1 | t2 | t3 | Cost | Capacity status |
|---|---|---|---|---|
| E1 | E2 | E3 | 90 | Good |
| E1 | E2 | Z3 | 60 | Good |
| E1 | Z2 | E3 | 60 | Good |
| E1 | Z2 | Z3 | 30 | Bad on v→w, excess 1 |
| Z1 | E2 | E3 | 60 | Good |
| Z1 | E2 | Z3 | 30 | Bad on u→v, excess 1 |
| Z1 | Z2 | E3 | 30 | Bad on s→u, excess 1 |
| Z1 | Z2 | Z3 | 0 | Bad on all three shared arcs |
Thus all eight possibilities are accounted for.
7. Why the construction works
The three zero-cost choices form the stable-set system of a triangle:
Z1∼Z2,Z1∼Z3,Z2∼Z3.Their fractional selection probabilities are
Pr(Z1)=155=31,Pr(Z2)=104=52,Pr(Z3)=155=31.Hence
Pr(Z1)+Pr(Z2)+Pr(Z3)=31+52+31=1516>1.Every capacity-good integral routing satisfies the triangle stable-set inequality
z1+z2+z3≤1,but the fractional point violates it. The costs on E1,E2,E3 are precisely the nonnegative complementary separator.
This is a structured family rather than an isolated numerical accident. Normalize the demands to
d1=d3=1,d2=b≤1and give the three cheap paths probabilities r,q,r. The same construction works whenever
2r+q>1,b(1−q)>r,2r+bq<1.The displayed integer instance comes from
b=32,r=31,q=52.Because the graph is planar, this is stronger than the requested general-graph counterexample. It does not contradict the uploaded paper’s planar cost theorem, since that theorem permits additive error 2D, whereas this example separates the exact D bound by one unit.
Verification files
The external-validation caveat is substantive because of the conjecture’s standing, but there is no remaining search, omitted-path, floating-point, or hybrid-routing gap in this certificate.