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Definitions bundle OAIQ037K042 of the split of OpenAI, The approximation threshold for metric k-median (result family 125)

Definition
OAIQ037K042

by dbenbenn · Oct 27, 2026 · Mathlib 0df444a (Lean v4.33.1)

openai-math

A definitions bundle of the split of OpenAI's proof of OAI.MetricKMedian.main_finite_work, carved from OpenAI's openai/math development (OpenAI, The approximation threshold for metric k-median (result family 125), OpenAI Math Release, September 24, 2026, result family 125, github.com/openai/math at commit adc7f12, Apache License 2.0) and ported to Lean 4.33.1 and Mathlib 0df444a. The declarations and their proofs are OpenAI's.

Contents. It holds 14 declarations of OpenAI's Lean: 6 definitions and 8 theorems. The definitions and types are OAI.MetricKMedian.Preparation.oldAssignment, OAI.MetricKMedian.Preparation.physicalCount, OAI.MetricKMedian.Preparation.physicalOpen, OAI.MetricKMedian.Reduction.Program.feasible, OAI.MetricKMedian.Reduction.Program.selectList, OAI.MetricKMedian.Taper.rationalRadius.

Sources. They come from these modules of lean/OAI/Combinatorics/KMedian, in whole or in part: KMedian_Preparation_CoupledGeometry, KMedian_Process_PhysicalOldMass, KMedian_Programs_FinalSelectionProgram, KMedian_Rounding_RationalTaper, KMedian_Rounding_RationalTaperCandidates, KMedian_Rounding_RationalTaperData, KMedian_Sparse_SparseCardinalRounding, KMedian_Sparse_SparseCoupledPreparation, KMedian_Sparse_SparsePreparedBudget.

Imports. It imports the published bundle Def_MetricKMedian; the bundles OAIQ037K030, OAIQ037K000, OAIQ037K001, OAIQ037K003, OAIQ037K006, OAIQ037K008, OAIQ037K009, OAIQ037K010, OAIQ037K018, OAIQ037K019, OAIQ037K021, OAIQ037K022, OAIQ037K023, OAIQ037K034 and OAIQ037K035 of this split.

Imported by (directly, in this split): the bundles OAIQ037K047 and OAIQ037K066; the statements OAI.MetricKMedian.Preparation.client_assignments, OAI.MetricKMedian.Preparation.distant_assignments, OAI.MetricKMedian.Preparation.nearby_assignments, OAI.MetricKMedian.Preparation.physical_old_estimates and OAI.MetricKMedian.Preparation.selected_preparation_outcome; the proofs of OAI.MetricKMedian.Preparation.client_assignments, OAI.MetricKMedian.Preparation.distant_assignments, OAI.MetricKMedian.Preparation.nearby_assignments, OAI.MetricKMedian.Preparation.physical_old_estimates and OAI.MetricKMedian.Preparation.selected_preparation_outcome.

Definition code
import Mathlib
import Definitions.Def_MetricKMedian
import Definitions.Def_OAIQ037K030
import Definitions.Def_OAIQ037K000
import Definitions.Def_OAIQ037K001
import Definitions.Def_OAIQ037K003
import Definitions.Def_OAIQ037K006
import Definitions.Def_OAIQ037K008
import Definitions.Def_OAIQ037K009
import Definitions.Def_OAIQ037K010
import Definitions.Def_OAIQ037K018
import Definitions.Def_OAIQ037K019
import Definitions.Def_OAIQ037K021
import Definitions.Def_OAIQ037K022
import Definitions.Def_OAIQ037K023
import Definitions.Def_OAIQ037K034
import Definitions.Def_OAIQ037K035

section
-- module Solutions.OAIQ037_KM.KMedian_Preparation_CoupledGeometry
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

section
section
namespace MetricKMedian.Preparation
open Finset SupplierStars
attribute [instance] CoupledLaw.finite
variable {I T : Type} [Fintype I] [DecidableEq I] [Fintype T] [DecidableEq T]

def physicalCount {P A : T → Finset I} {y : I → ℝ} {p c : T → ℝ} {g γ B : ℝ} {Δ : ℕ}
    (L : CoupledLaw (targets A) flag (weight y P A c γ) P y p c g γ B Δ)
    (z : L.Ω × (T → Finset I)) : Physical I T → ℕ :=
  Sum.elim (fun i => L.O z.1 (.inl i)) (L.C z.1 z.2)

noncomputable def physicalOpen {P A : T → Finset I} {y : I → ℝ} {p c : T → ℝ} {g γ B : ℝ} {Δ : ℕ}
    (L : CoupledLaw (targets A) flag (weight y P A c γ) P y p c g γ B Δ)
    (z : L.Ω × (T → Finset I)) (a : Physical I T) : ℝ := g*(physicalCount L z a:ℝ)

end MetricKMedian.Preparation
end
end

end OAI
end

section
-- module Solutions.OAIQ037_KM.KMedian_Process_PhysicalOldMass
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

section
section
namespace MetricKMedian.Preparation
open Finset SupplierStars
attribute [instance] CoupledLaw.finite
variable {I T : Type} [Fintype I] [DecidableEq I] [Fintype T] [DecidableEq T]

noncomputable def oldAssignment {P A : T → Finset I} {y : I → ℝ} {p c : T → ℝ} {g γ B : ℝ} {Δ : ℕ}
    (L : CoupledLaw (targets A) flag (weight y P A c γ) P y p c g γ B Δ)
    (F : Finset I) (z : L.Ω × (T → Finset I)) : Physical I T → ℝ :=
  Sum.elim (fun i => if i ∈ F ∩ outside P then L.N z.1 (.inl i) else 0)
    (fun ti => if ti.2 ∈ F then g*(L.C z.1 z.2 ti:ℝ) else 0)

end MetricKMedian.Preparation
end
end

end OAI
end

section
-- module Solutions.OAIQ037_KM.KMedian_Rounding_RationalTaperCandidates
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

section
section
namespace MetricKMedian.Taper
open Finset
variable {I : Type*} [Fintype I]

theorem maximal_root_in_candidates (g P : ℚ) (d : I → ℚ)
    (hg : 0 < (g:ℝ)) (hP : 0 < (P:ℝ)) (hP1 : (P:ℝ) ≤ 1/2)
    (hd : ∀ i, 0 ≤ d i) (hcol : colocatedMass g (fun i => (d i:ℝ)) < 1)
    (r : ℝ) (hr : 0 < r) (hroot : mass g P (fun i => (d i:ℝ)) r=1)
    (hmax : ∀ u, 1 ≤ mass g P (fun i => (d i:ℝ)) u → u ≤ r) :
    ∃ q ∈ candidates g P d, (q:ℝ)=r := by
  classical
  by_cases heq : ∃ q ∈ breakpoints P d, (q:ℝ)=r
  · obtain ⟨q,hq,he⟩ := heq
    exact ⟨q,mem_union_left _ hq,he⟩
  have hnot : ∀ q ∈ breakpoints P d, (q:ℝ) ≠ r := by simpa only [not_exists,not_and] using heq
  have hU : r < (upper d:ℝ) := by
    by_contra hn
    have hh := mass_antitone (d := fun i => (d i:ℝ)) hg.le hP (fun i => by exact_mod_cast hd i) (le_of_not_gt hn)
    rw [hroot,mass_upper g P d hP (by linarith) hd] at hh
    linarith
  obtain ⟨a,ha,b,hb,har,hrb,hgap⟩ := rational_bracket (breakpoints P d) r 0 (upper d)
    (mem_insert_self _ _) (mem_insert_of_mem (mem_insert_self _ _)) (by simpa only [Rat.cast_zero] using hr) hU hnot
  have hab : a < b := by exact_mod_cast har.trans hrb
  let t : ℚ := (a+b)/2
  have ht : a < t ∧ t < b := by dsimp only [t]; constructor <;> linarith
  have hPq : P < 1 := by exact_mod_cast (show (P:ℝ) < 1 by linarith)
  have hcuts := cuts_in_interval hd hPq a b t hgap ht r ⟨har,hrb⟩
  have haff := mass_affine (g := g) hP hcuts.1 hcuts.2
  rw [hroot] at haff
  have hB : B P d t ≠ 0 := by
    intro hz
    let u := (r+(b:ℝ))/2
    have hur : r < u := by dsimp only [u]; linarith
    have hu : (a:ℝ) < u ∧ u < (b:ℝ) := by dsimp only [u]; constructor <;> linarith
    have hcu := cuts_in_interval hd hPq a b t hgap ht u hu
    have hfu := mass_affine (g := g) hP hcu.1 hcu.2
    rw [hz,Rat.cast_zero,mul_zero,sub_zero] at hfu haff
    have hmass : mass g P (fun i => (d i:ℝ)) u=1 := hfu.trans haff.symm
    exact not_le_of_gt hur (hmax u hmass.ge)
  refine ⟨(A P d t-1/g)/B P d t,mem_union_right _ (mem_image.mpr ⟨(a,b),mem_product.mpr ⟨ha,hb⟩,rfl⟩),?_⟩
  have hBR : (B P d t:ℝ) ≠ 0 := by exact_mod_cast hB
  have hgR := hg.ne'
  push_cast
  apply (div_eq_iff hBR).mpr
  have hdiv : (A P d t:ℝ)-r*(B P d t:ℝ)=1/(g:ℝ) := (eq_div_iff hgR).mpr (by nlinarith [haff])
  linarith

end MetricKMedian.Taper
end
end

end OAI
end

section
-- module Solutions.OAIQ037_KM.KMedian_Rounding_RationalTaper
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

section
section
namespace MetricKMedian.Taper
open Finset
variable {I : Type*} [Fintype I]

theorem inverseRadius_spec (g P : ℚ) (d : I → ℚ)
    (hg : 0 < (g:ℝ)) (hP : 0 < (P:ℝ)) (hP1 : (P:ℝ) ≤ 1/2)
    (hd : ∀ i, 0 ≤ d i) (htotal : 1 ≤ ∑ _i : I, (g:ℝ))
    (hcol : colocatedMass g (fun i => (d i:ℝ)) < 1) :
    0 < inverseRadius g P d ∧ rationalMass g P d (inverseRadius g P d)=1 ∧
      ∀ u : ℝ, 1 ≤ mass g P (fun i => (d i:ℝ)) u → u ≤ (inverseRadius g P d:ℝ) := by
  obtain ⟨r,hr,he,hmax⟩ := exists_minimal_radius (fun i => (d i:ℝ)) hg hP hP1
    (fun i => by exact_mod_cast hd i) htotal hcol
  obtain ⟨q,hq,hqr⟩ := maximal_root_in_candidates g P d hg hP hP1 hd hcol r hr he hmax
  have hqpos : 0 < q := by exact_mod_cast (hqr ▸ hr)
  have hqe : rationalMass g P d q=1 := by
    have hh : (rationalMass g P d q:ℝ)=1 := by rw [cast_rationalMass,hqr,he]
    exact_mod_cast hh
  have hmem : q ∈ rootCandidates g P d := mem_filter.mpr ⟨hq,hqpos,hqe⟩
  have hne : (rootCandidates g P d).Nonempty := ⟨q,hmem⟩
  have hm : inverseRadius g P d ∈ rootCandidates g P d := by
    unfold inverseRadius
    rw [dite_eq_left hne]
    exact max'_mem _ hne
  obtain ⟨_,hpos,hroot⟩ := mem_filter.mp hm
  refine ⟨hpos,hroot,?_⟩
  have hle : q ≤ inverseRadius g P d := by
    unfold inverseRadius
    rw [dite_eq_left hne]
    exact le_max' _ _ hmem
  have hleR : r ≤ (inverseRadius g P d:ℝ) := by rw [← hqr]; exact_mod_cast hle
  intro u hu
  exact (hmax u hu).trans hleR

theorem positive_data (g P : ℚ) (d : I → ℚ) (Δ : ℕ)
    (hg : 0 < (g:ℝ)) (hunit : (g:ℝ)*(Δ:ℝ)=1)
    (hP : 0 < (P:ℝ)) (hP1 : (P:ℝ) ≤ 1/2)
    (hd : ∀ i, 0 ≤ d i) (htotal : 1 ≤ ∑ _i : I, (g:ℝ))
    (hcol : colocatedMass g (fun i => (d i:ℝ)) < 1) :
    let r := inverseRadius g P d
    let q := fun i => rationalMarginal P (d i) r
    0 < 1/r ∧ (∀ i, 0 ≤ q i) ∧ (∀ i, q i ≤ 1) ∧
      (∑ i, g*q i=1) ∧ (∑ i, q i=Δ) ∧
      (∀ i, d i=0 → q i=1) ∧
      (∀ i, q i < 1 → (1/r)*(1-P*q i) ≤ d i) ∧
      (∀ i, 0 < q i → d i ≤ (1/r)*(1-P*q i)) ∧
      (∀ R : ℝ, 0 < R → 1 ≤ mass g P (fun i => (d i:ℝ)) (1/R) → (1/r:ℚ) ≤ R) := by
  dsimp only
  let r := inverseRadius g P d
  let q := fun i => rationalMarginal P (d i) r
  obtain ⟨hr,he,hmax⟩ := inverseRadius_spec g P d hg hP hP1 hd htotal hcol
  have hrR : (0:ℝ) < r := by exact_mod_cast hr
  have hq : ∀ i, (q i:ℝ)=marginal P (d i) r := fun i => cast_rationalMarginal P (d i) r
  have hsum : (∑ i, q i)=(Δ:ℚ) := by
    apply mul_left_cancel₀ (show g ≠ 0 by exact_mod_cast hg.ne')
    rw [mul_sum]
    change rationalMass g P d r=g*(Δ:ℚ)
    rw [he]
    exact_mod_cast hunit.symm
  refine ⟨one_div_pos.mpr hr,?_,?_,he,hsum,?_,?_,?_,?_⟩
  · intro i
    have hh := marginal_nonneg (d := (d i:ℝ)) (r := (r:ℝ)) hP
    rw [← hq] at hh
    exact_mod_cast hh
  · intro i
    have hh := marginal_le_one (P:ℝ) (d i:ℝ) (r:ℝ)
    rw [← hq] at hh
    exact_mod_cast hh
  · intro i hi
    have hh : (q i:ℝ)=1 := by
      rw [hq,hi,Rat.cast_zero]
      exact marginal_at_zero_distance hP (by linarith)
    exact_mod_cast hh
  · intro i hi
    have hiR : marginal P (d i) r < 1 := by rw [← hq]; exact_mod_cast hi
    have hh := lower_comparison hP hiR
    have hres : (1/(r:ℝ))*(1-(P:ℝ)*(q i:ℝ)) ≤ (d i:ℝ) := by
      rw [one_div_mul_eq_div]
      apply (div_le_iff₀ hrR).mpr
      rw [hq]
      nlinarith only [hh]
    exact_mod_cast hres
  · intro i hi
    have hiR : 0 < marginal P (d i) r := by rw [← hq]; exact_mod_cast hi
    have hh := upper_comparison hP hiR
    have hres : (d i:ℝ) ≤ (1/(r:ℝ))*(1-(P:ℝ)*(q i:ℝ)) := by
      rw [one_div_mul_eq_div]
      apply (le_div_iff₀ hrR).mpr
      rw [hq]
      nlinarith only [hh]
    exact_mod_cast hres
  · intro R hR hm
    have hh := (div_le_iff₀ hR).mp (hmax (1/R) hm)
    change ((1/r:ℚ):ℝ) ≤ R
    push_cast
    exact (div_le_iff₀ hrR).mpr (by nlinarith only [hh])

end MetricKMedian.Taper
end
end

end OAI
end

section
-- module Solutions.OAIQ037_KM.KMedian_Rounding_RationalTaperData
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

section
section
namespace MetricKMedian.Taper
open Finset
variable {I : Type*} [Fintype I] [LinearOrder I]

def rationalRadius (g P : ℚ) (d : I → ℚ) : ℚ :=
  if 1 ≤ rationalColocatedMass g d then 0 else 1/inverseRadius g P d

theorem rational_data (g P : ℚ) (d : I → ℚ) (own : Finset I) (Δ : ℕ)
    (hg : 0 < (g:ℝ)) (hunit : (g:ℝ)*(Δ:ℝ)=1)
    (hP : 0 < (P:ℝ)) (hP1 : (P:ℝ) ≤ 1/2)
    (hd : ∀ i, 0 ≤ d i) (htotal : 1 ≤ ∑ _i : I, (g:ℝ))
    (hown : ∀ i ∈ own, d i=0) (howncard : own.card ≤ Δ) :
    let N := rationalRadius g P d
    let q := sourceMarginals g P d own Δ
    0 ≤ N ∧ (∀ i, 0 ≤ q i) ∧ (∀ i, q i ≤ 1) ∧
      (∑ i, g*q i=1) ∧ (∑ i, q i=Δ) ∧ (∀ i ∈ own, q i=1) ∧
      (∀ i, q i < 1 → N*(1-P*q i) ≤ d i) ∧
      (∀ i, 0 < q i → d i ≤ N*(1-P*q i)) ∧
      (∀ R : ℝ, 0 < R → 1 ≤ mass g P (fun i => (d i:ℝ)) (1/R) → (N:ℝ) ≤ R) := by
  by_cases hc : 1 ≤ rationalColocatedMass g d
  · have hcR : 1 ≤ colocatedMass g (fun i => (d i:ℝ)) := by
      rw [← cast_rationalColocatedMass]
      exact_mod_cast hc
    obtain ⟨hq0,hq1,hs,hn,ho,hz⟩ := zero_data g d own Δ hg hunit hcR hown howncard
    dsimp only
    simp only [rationalRadius,sourceMarginals,ite_eq_left hc]
    refine ⟨le_refl _,hq0,hq1,hs,hn,ho,?_,?_,?_⟩
    · intro i _; simpa only [zero_mul] using hd i
    · intro i hi; simp only [hz i hi,zero_mul,le_refl]
    · intro R hR _; simpa only [Rat.cast_zero] using hR.le
  · have hcR : colocatedMass g (fun i => (d i:ℝ)) < 1 := by
      rw [← cast_rationalColocatedMass]
      exact_mod_cast (lt_of_not_ge hc)
    obtain ⟨hN,hq0,hq1,hs,hn,ho,hl,hu,hr⟩ := positive_data g P d Δ hg hunit hP hP1 hd htotal hcR
    dsimp only
    simp only [rationalRadius,sourceMarginals,ite_eq_right hc]
    exact ⟨hN.le,hq0,hq1,hs,hn,fun i hi => ho i (hown i hi),hl,hu,hr⟩

end MetricKMedian.Taper
end
end

end OAI
end

section
-- module Solutions.OAIQ037_KM.KMedian_Sparse_SparseCardinalRounding
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

section
section
namespace MetricKMedian.SparseCardinalRounding
open Finset RationalWeightedStep
variable {n : ℕ}

theorem integral_of_small_fractional (q : Vector ℚ n)
    (hq : ∀ i, 0 ≤ point q i ∧ point q i ≤ 1) (K : ℕ)
    (hs : (∑ i, point q i)=(K:ℚ)) (hf : (fractional q).card ≤ 1) :
    ∀ i, point q i=0 ∨ point q i=1 := by
  have has : MarginalRounding.fractional (realPoint q)=∅ := by
    by_contra h
    obtain ⟨i,hi⟩ := nonempty_iff_ne_empty.mpr h
    have h0 : ∀ i, 0 ≤ realPoint q i := fun i => by
      dsimp only [realPoint]; exact_mod_cast (hq i).1
    have h1 : ∀ i, realPoint q i ≤ 1 := fun i => by
      dsimp only [realPoint]; exact_mod_cast (hq i).2
    have hsum : (∑ i, realPoint q i)=(K:ℝ) := by
      dsimp only [realPoint]; exact_mod_cast hs
    obtain ⟨j,hj,hji⟩ := MarginalRounding.second_fractional h0 h1 hsum hi
    rw [real_fractional] at hi hj
    exact hji (card_le_one.mp hf j hj i hi)
  intro i
  apply RationalLastFraction.nonfractional q hq i
  rw [← real_fractional,has]
  exact notMem_empty i

end MetricKMedian.SparseCardinalRounding
end
end

end OAI
end

section
-- module Solutions.OAIQ037_KM.KMedian_Sparse_SparsePreparedBudget
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI

section
section
namespace MetricKMedian.SparsePrepared
open Finset SparseOuterLaw SparseGridRounding
open SparseSignedPreparation (State)
variable {n m : ℕ}

theorem raw_counts (D : Fin m → Finset (Fin n)) (c q : Fin m → ℚ) (z : State n m) :
    SparseSignedPreparation.raw D c (base q) z=
      (∑ e,c e*(outsideCount q z e:ℚ))-(∑ j,∑ e,(activationCount D q z e j:ℚ)) := by
  rw [sum_comm]
  simp only [SparseSignedPreparation.raw,sum_sub_distrib,← Nat.cast_sum,activation_sum,
    Nat.cast_add,Nat.cast_mul,outsideCount_cast]

theorem raw_identity (D : Fin m → Finset (Fin n)) (c q : Fin m → ℚ) (Δ : ℕ)
    (z : State n m) :
    opening D c q Δ z=(n:ℚ)*(Δ:ℚ)+SparseSignedPreparation.raw D c (base q) z+
      ∑ j,discarded D q Δ z j := by
  have ht : ∀ j,(total D q Δ z j:ℚ)=(Δ:ℚ)-
      (min (∑ e,activationCount D q z e j) (Δ/2):ℕ) := by
    intro j
    exact Nat.cast_sub ((min_le_right _ _).trans (Nat.div_le_self _ _))
  simp only [opening,ht,raw_counts,discarded,sum_sub_distrib,sum_const,card_univ,Fintype.card_fin,
    nsmul_eq_mul,Nat.cast_sum]
  ring

end MetricKMedian.SparsePrepared
end
end

end OAI
end

section
-- module Solutions.OAIQ037_KM.KMedian_Sparse_SparseCoupledPreparation
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI


                                                
section
namespace MetricKMedian.SparsePrepared
open Finset SparseOuterLaw
open SparseSignedPreparation (State)
variable {n m f : ℕ}

theorem opening_cast (D : Fin m → Finset (Fin n)) (a q : Fin m → ℚ) (Δ : ℕ)
    (z : State n m) (g : ℝ) :
    g * (opening D a q Δ z : ℝ) =
      (∑ e, (a e : ℝ) * (g * (outsideCount q z e : ℝ))) +
      (∑ j, g * (total D q Δ z j : ℝ)) := by
  simp only [opening, Rat.cast_add, Rat.cast_sum, Rat.cast_mul, Rat.cast_natCast,
    mul_add, mul_sum]
  congr 1
  exact sum_congr rfl (fun _ _ => by ring)

end MetricKMedian.SparsePrepared
end

end OAI
end

section
-- module Solutions.OAIQ037_KM.KMedian_Programs_FinalSelectionProgram
set_option linter.all false
set_option linter.unusedVariables false
set_option linter.unusedTactic false
set_option linter.unreachableTactic false

namespace OAI


                                             
section
namespace MetricKMedian.Reduction.Program
open Finset Preparation Binary Binary.PolyProgram Binary.Automatic Binary.Automatic.Poly
open SparseGraph.ListOperation (Row Table setView)
def feasible (I : Instance) (S : Finset (Fin I.n)) : Bool := decide (S⊆I.facilities ∧ S.Nonempty ∧ S.card≤I.k)
def selectList (I : Instance) (L : List (Finset (Fin I.n))) : Finset (Fin I.n) :=
  (SparseSelect.best (feasible I) (rationalCost I) L).getD {I.facilities.min' I.facilities_nonempty}
end MetricKMedian.Reduction.Program
end

end OAI
end
Source
OpenAI, The approximation threshold for metric k-median (result family 125), OpenAI Math Release, September 24, 2026, https://github.com/openai/math (result family 125; paper: https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/The-Approximation-Threshold-for-Metric-k-Median-September-24-2026/main.pdf; Apache License 2.0); definitions carved from lean/OAI/Combinatorics/KMedian at commit adc7f12

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Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

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