lean artifact · pending
Artifact ↗Yau's nodal-set conjecture for smooth metrics: is nodal measure comparable to sqrt(lambda)?
Dimensions three and four (Theorems 1.1, 1.2 of the principal manuscript): a smooth metric arbitrarily close to the round metric on , and one on , with exact eigenfunctions whose nodal measure divided by is unbounded. Dimension five and up (companion): a metric on with nodal measure for a fixed , and products give every dimension above five. Surfaces (companion): , so with Bruning's lower bound Yau's conjecture holds in dimension two. So the upper bound is true for surfaces and false for smooth metrics in every dimension ; the lower bound (Logunov) is untouched, and real-analytic metrics are unaffected. No power excess is claimed in dimensions 3 and 4.
Exact FrontierDelta
Scope and record
Occurred: Sep 23, 2026
Delta type: SOURCE CLAIM
Assumptions: VibeMathed verification: lean-checked. Publication: announcement. AI contribution: ai-discovered. VibeMathed editorial classifications, scores, notes, relations, and dataset structure are CC BY 4.0. Source statements and linked content retain their own rights.
Canonical aliases: Yau's nodal-set conjecture for smooth metrics: is nodal measure comparable to sqrt(lambda)? · Yau's nodal-set conjecture (smooth)
Confidence: Not scored
Registry verification: lean checked · announcement · candidate
Attribution
VibeMathed
registry · event recorded by
Unreleased internal OpenAI model
model · ai model contributor · OpenAI
Artifacts and verifiers
lean artifact · pending
Artifact ↗lean artifact · pending
Artifact ↗lean artifact · pending
Artifact ↗lean artifact · pending
Artifact ↗lean artifact · pending
Artifact ↗lean artifact · pending
Artifact ↗Compute record
No linked compute attempts recorded.
Lineage and corrections
This event attributed to Unreleased internal OpenAI model
Lean proof, S^3 (OAI.YauCounterexamples.sphere_three) evidence for this event
Lean proof, S^4 x S^1 (OAI.Yau.Target.yau_nodal_set_upper_bound_counterexample) evidence for this event
Comparator statement: NodalLength.lean evidence for this event
Comparator statement: YauCounterexample.lean evidence for this event
VibeMathed record: Yau's nodal-set conjecture for smooth metrics: is nodal measure comparable to sqrt(lambda)? evidence for this event
Lean proof, S^2 x T^2 (OAI.YauCounterexamples.sphere_two_torus_two) evidence for this event
Yau's nodal-set conjecture for smooth metrics: is nodal measure comparable to sqrt(lambda)? evidence for this event
Companion: Power-law violations of Yau's nodal upper bound evidence for this event
Companion: Sharp nodal length on smooth surfaces evidence for this event
Yau's nodal-set conjecture for smooth metrics: is nodal measure comparable to sqrt(lambda)? parent of this event
Comparator statement: SmoothYau.lean evidence for this event
Dimensions three and four (Theorems 1.1, 1.2 of the principal manuscript): a smooth metric arbitrarily close to the round metric on , and one on , with exact eigenfunctions whose nodal measure divided by is unbounded. Dimension five and up (companion): a metric on with nodal measure for a fixed , and products give every dimension above five. Surfaces (companion): , so with Bruning's lower bound Yau's conjecture holds in dimension two. So the upper bound is true for surfaces and false for smooth metrics in every dimension ; the lower bound (Logunov) is untouched, and real-analytic metrics are unaffected. No power excess is claimed in dimensions 3 and 4. parent of this event
Lean proof, surfaces (OAI.SharpNodal.Main) evidence for this event
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