Epistemic Pairwise Maximin Share
Pith reviewed 2026-06-26 18:55 UTC · model grok-4.3
The pith
An epistemic relaxation of pairwise maximin share guarantees 4/5-EPMMS allocations for additive valuations of indivisible goods.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
EPMMS allocations exist and are efficiently computable for additive valuations at the 4/5 level; for bivalued valuations full EPMMS allocations exist and the stronger EGMMS guarantee also holds. These positive results extend to instances with three additive agents and instances with two types of additive agents, both of which are settings in which MMS allocations need not exist.
What carries the argument
Epistemic pairwise maximin share (EPMMS), the epistemic relaxation of PMMS under which each agent believes there exists an allocation satisfying the pairwise maximin condition.
If this is right
- 4/5-EPMMS allocations can be found in polynomial time for additive valuations.
- Full EPMMS (and EGMMS) allocations can be found in polynomial time for bivalued valuations.
- EPMMS allocations exist for every instance with three additive agents.
- EPMMS allocations exist for every instance with two distinct additive valuation types.
Where Pith is reading between the lines
- The same epistemic lens may be applied to other fairness notions whose existence is open for wider valuation classes.
- Efficient algorithms for EPMMS may serve as building blocks for approximation algorithms for stricter notions such as PMMS itself.
- The gap between EPMMS and MMS in the two-type and three-agent settings suggests that epistemic relaxations can recover existence precisely where deterministic maximin guarantees fail.
Load-bearing premise
The specific definition of the epistemic relaxation permits the existence and computation arguments to succeed for additive and bivalued valuations.
What would settle it
An explicit instance with additive valuations in which no allocation satisfies 4/5-EPMMS for every agent.
Figures
read the original abstract
We introduce epistemic pairwise maximin share (EPMMS), a new fairness notion for fair division of indivisible goods. Two fundamental notions in this setting are envy-freeness up to any item (EFX) and pairwise maximin share (PMMS), with PMMS being stronger than EFX. While EFX has been extensively studied, far less is known about PMMS. Recent work shows that relaxing EFX via an epistemic perspective leads to substantial progress on the EFX problem, raising the question of whether a similar approach can advance our understanding of PMMS. Motivated by this, we initiate the study of EPMMS, the epistemic relaxation of PMMS. EPMMS is more challenging than EEFX: the key approaches underlying recent progress on epistemic EFX inherently fail to extend to EPMMS. We establish the following results. (1) For additive valuations, $4/5$-EPMMS allocations exist and can be efficiently computed. (2) For bivalued valuations, EPMMS allocations exist and can be efficiently computed; in fact, we obtain the stronger guarantee of epistemic groupwise maximin share (EGMMS), which also strengthens the existence of MMS allocations for this setting. (3) We prove that EPMMS allocations exist in two settings where MMS allocations need not exist: instances with three additive agents or two types of additive agents.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper introduces epistemic pairwise maximin share (EPMMS), an epistemic relaxation of pairwise maximin share (PMMS) for allocating indivisible goods. It proves that 4/5-EPMMS allocations exist and can be efficiently computed for additive valuations; that EPMMS allocations (in fact the stronger epistemic groupwise maximin share, EGMMS) exist and can be efficiently computed for bivalued valuations; and that EPMMS allocations exist in two settings with additive valuations (three agents, or two agent types) where MMS allocations need not exist.
Significance. If the stated existence and algorithmic results hold, the work meaningfully advances the study of PMMS by demonstrating that its epistemic relaxation yields existence guarantees (with efficient computation) in valuation classes and agent settings where MMS itself fails. The observation that standard EEFX techniques do not carry over to EPMMS is a useful negative result that clarifies the distinct technical challenges. The strengthening to EGMMS for bivalued valuations is a notable additional contribution.
minor comments (2)
- [Abstract] Abstract: the claim that 'standard EEFX techniques do not carry over' is stated without a forward reference to the section containing the argument; adding a pointer would improve readability.
- The manuscript would benefit from an explicit comparison (perhaps as a table in the introduction) of the strength ordering and known existence results among MMS, PMMS, EFX, EEFX, EPMMS, and EGMMS.
Simulated Author's Rebuttal
We thank the referee for their careful reading and positive evaluation of our work. We are glad that the contribution of EPMMS as an epistemic relaxation of PMMS, along with the existence and algorithmic results for additive and bivalued valuations, is viewed as advancing the literature. Since the report contains no specific major comments or requested changes, we have no points to address point-by-point.
Circularity Check
No significant circularity identified
full rationale
The paper defines a new epistemic fairness notion EPMMS and establishes existence plus efficient algorithms for additive valuations (4/5-EPMMS), bivalued valuations (full EPMMS and stronger EGMMS), and two MMS-impossible settings. These results rest on direct constructive proofs that exploit the specific structure of the newly introduced definition together with the given valuation classes; no step reduces by construction to a fitted parameter, self-citation chain, or renamed input, and the derivation remains self-contained against external benchmarks.
Axiom & Free-Parameter Ledger
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Without loss of generality, suppose this holds forX′
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Hence agent2PMMS-envies agent1, a contradiction
Then µ(2, X′ 1 ∪X ′ 2)≥µ(2,{3,3,3,3} ∪ {5,5}) = 11 = min{5 + 3 + 3,5 + 3 + 3}. Hence agent2PMMS-envies agent1, a contradiction. We conclude that MMS does not imply EPMMS. We now show that EPMMS is incomparable to EFX. 26 Observation A.8.Neither EPMMS nor EFX implies the other, even when agents have identical bivalued valuations (a special case of additive...
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, ˆXn)for the identical rankings instance ˆI
Base Allocation:Compute the target allocation ˆX = ( ˆX1, . . . , ˆXn)for the identical rankings instance ˆI
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[54]
, am)such that ak = i if the k-th item in the identical ranking is assigned to agentiinˆX
Picking Sequence:Define the sequence L = (a1, a2, . . . , am)such that ak = i if the k-th item in the identical ranking is assigned to agentiinˆX
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Let X be the resulting allocation
Actual Allocation:Execute thePick( I, L)routine: in each step k, agent ak picks their favorite remaining item according to their original valuationvi. Let X be the resulting allocation. To analyze how values shift when translatingˆX to X, we rely on a structural lemma introduced by Caragiannis et al [24]. Lemma E.5(Lemma 2 in [24]).For every agent i∈ [n],...
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Agent1is unenvied before this assignment since her bundle is empty
Agent1receives item g1. Agent1is unenvied before this assignment since her bundle is empty
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[57]
Agent2receives items g2 and g3. Agent2is unenvied before each of these assignments: initially her bundle is empty, and after receivingg2, agent1values {g2} at2(equal to her own bundle) and agent3values{g 2}at0, so neither envies agent2
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[58]
Before each assignment, agent3is unenvied since agents1and2value any subset of {g4, g5, g6} at no more than their own bundles (2and4, respectively)
Agent3receives items g4, g5, and g6. Before each assignment, agent3is unenvied since agents1and2value any subset of {g4, g5, g6} at no more than their own bundles (2and4, respectively). At this point, the envy graph, whose nodes are the agents and which contains an edgei→j wheneverv i(Xj)> v i(Xi), is as follows: 1 23 No agent has in-degree0, so the algor...
discussion (0)
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