lean artifact · pending
Artifact ↗Arnosti's RANDOM-VERTEX versus RANKING conjecture for greedy matching
For every finite instance in the stated model, every common capacity and every threshold , we prove The comparison holds for fixed arrival and bin-priority orders independent of the neighborhoods; averaging gives Arnosti's random-order model, including the conjectured regime. The proof combines capped-load association, a two-bin coefficient identity, a saturation bound, refined histories and coupling at accepted-job counts. The written proof uses Cohen–Sackrowitz (1987), Lemma 4.1; Lean proves the required finite rational association statement directly. The inequality compares matching-size distributions. It does not assert dominance on every run, conditional on an arbitrary fixed graph, or for unequal capacities.
Exact FrontierDelta
Scope and record
Occurred: Oct 5, 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: Arnosti's RANDOM-VERTEX versus RANKING conjecture for greedy matching · RANDOM-VERTEX vs RANKING
Confidence: Not scored
Registry verification: lean checked · announcement · candidate
Attribution
VibeMathed
registry · event recorded by
OpenAI Codex (GPT-6 Astra)
model · ai model contributor · OpenAI
Artifacts and verifiers
code · pending
Artifact ↗lean artifact · pending
Artifact ↗Compute record
No linked compute attempts recorded.
Lineage and corrections
Arnosti's RANDOM-VERTEX versus RANKING conjecture for greedy matching parent of this event
For every finite instance in the stated model, every common capacity and every threshold , we prove The comparison holds for fixed arrival and bin-priority orders independent of the neighborhoods; averaging gives Arnosti's random-order model, including the conjectured regime. The proof combines capped-load association, a two-bin coefficient identity, a saturation bound, refined histories and coupling at accepted-job counts. The written proof uses Cohen–Sackrowitz (1987), Lemma 4.1; Lean proves the required finite rational association statement directly. The inequality compares matching-size distributions. It does not assert dominance on every run, conditional on an arbitrary fixed graph, or for unequal capacities. parent of this event
VibeMathed record: Arnosti's RANDOM-VERTEX versus RANKING conjecture for greedy matching evidence for this event
Arnosti's RANDOM-VERTEX versus RANKING conjecture for greedy matching evidence for this event
Interactive proof and dependency map evidence for this event
Original conjecture: after Theorem 2, p. 136 evidence for this event
Complete mathematical proof (LaTeX manuscript) evidence for this event
Formal source-model theorem in Lean evidence for this event
Lean build certificate and axiom audit evidence for this event
Reproduction instructions and trust scope evidence for this event
Public Lean build and final axiom output evidence for this event
This event attributed to OpenAI Codex (GPT-6 Astra)
Act on this frontier