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arxiv: 2606.18921 · v1 · pith:UQGF6JDVnew · submitted 2026-06-17 · 💻 cs.GT

Epistemic Pairwise Maximin Share

Pith reviewed 2026-06-26 18:55 UTC · model grok-4.3

classification 💻 cs.GT
keywords fair divisionindivisible goodsepistemic fairnesspairwise maximin shareadditive valuationsbivalued valuationsEFX
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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.

The paper defines EPMMS as the epistemic relaxation of PMMS, a fairness notion stronger than EFX in the division of indivisible goods. It proves that 4/5-EPMMS allocations exist and can be computed efficiently when agents have additive valuations. For bivalued valuations the paper shows that full EPMMS allocations exist and can be computed, and in fact the stronger EGMMS guarantee holds. The same relaxation yields EPMMS allocations in two families of instances where MMS allocations are known not to exist: three additive agents, or agents of two distinct additive types.

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

These are editorial extensions of the paper, not claims the author makes directly.

  • 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

Figures reproduced from arXiv: 2606.18921 by Amos Fiat, Michal Feldman, Tomasz Ponitka, Yael Nissan.

Figure 1
Figure 1. Figure 1: Implications between fairness notions under non-degenerate additive valuations. Most [PITH_FULL_IMAGE:figures/full_fig_p006_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: An illustration of the relationships between the valuation classes derived in Appendix C. [PITH_FULL_IMAGE:figures/full_fig_p008_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Illustration of the swapping argument used in the proof of Theorem 2. The bundles [PITH_FULL_IMAGE:figures/full_fig_p016_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: The two cases in the proof of Theorem 3. [PITH_FULL_IMAGE:figures/full_fig_p017_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: The weight function w used in the proof of Proposition C.8. Edges represent pairs with weight 1; all omitted pairs have weight 0. Proof. (OXS ⇏ PMMS-feasibility) Let M = {a, b, c, d} denote the set of items, and let X = {1, 2}. Define the weight function w : M × X → R≥0 by setting w(a, 1) = w(b, 1) = w(c, 2) = w(d, 2) = 1 and w(i, j) = 0 for all remaining pairs; see [PITH_FULL_IMAGE:figures/full_fig_p033_5.png] view at source ↗
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.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 2 minor

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)
  1. [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.
  2. 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

0 responses · 0 unresolved

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

0 steps flagged

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

0 free parameters · 0 axioms · 0 invented entities

Only abstract available; no free parameters, axioms, or invented entities can be identified from the provided text.

pith-pipeline@v0.9.1-grok · 5781 in / 969 out tokens · 22936 ms · 2026-06-26T18:55:57.969294+00:00 · methodology

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Reference graph

Works this paper leans on

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    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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