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arxiv: 1907.09279 · v1 · pith:IYYZJE7Enew · submitted 2019-07-16 · 💻 cs.GT · cs.AI

Almost Group Envy-free Allocation of Indivisible Goods and Chores

Pith reviewed 2026-05-24 20:14 UTC · model grok-4.3

classification 💻 cs.GT cs.AI
keywords group envy-freenessGEF1indivisible goods and choresadditive utilitiesfair allocationpolynomial-time algorithmscoNP-complete
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0 comments X

The pith

For two classes of additive utilities, polynomial-time algorithms compute group envy-freeness up to one item allocations of indivisible goods and chores.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper develops notions of group envy-freeness tailored to indivisible items whose value to an agent can be positive or negative. It introduces GEF1 as a relaxed fairness standard and supplies a taxonomy that relates it to other group and individual fairness criteria. Under two natural classes of additive utilities the paper gives algorithms that find a GEF1 allocation in polynomial time. It further shows that deciding whether any given allocation meets the GEF1 standard is coNP-complete, whether the items are all goods, all chores, or a mixture of both.

Core claim

We consider a multi-agent resource allocation setting in which an agent's utility may decrease or increase when an item is allocated. We take the group envy-freeness concept that is well-established in the literature and present stronger and relaxed versions that are especially suitable for the allocation of indivisible items. Of particular interest is a concept called group envy-freeness up to one item (GEF1). We then present a clear taxonomy of the fairness concepts. We study which fairness concepts guarantee the existence of a fair allocation under which preference domain. For two natural classes of additive utilities, we design polynomial-time algorithms to compute a GEF1 allocation. We也

What carries the argument

GEF1 (group envy-freeness up to one item), the requirement that for every pair of agent groups, one group's bundle does not create envy that persists after the removal of at most one item from either bundle.

If this is right

  • A GEF1 allocation can be produced efficiently whenever utilities are additive in either of the two identified classes.
  • Existence of GEF1 allocations is guaranteed for those utility classes.
  • Deciding GEF1 satisfaction remains coNP-complete even when all items are goods or all items are chores.
  • The supplied taxonomy organises the relationships among group and individual fairness notions across mixed good-chore domains.

Where Pith is reading between the lines

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

  • Practical fair-division software could incorporate the algorithms for routine allocation tasks that involve both desirable and undesirable items.
  • The verification hardness suggests investigating fixed-parameter tractable algorithms or approximation versions of GEF1 checking.
  • Results for additive cases may serve as a baseline when extending the same fairness standard to non-additive or combinatorial valuations.

Load-bearing premise

Agent utilities are additive and belong to one of the two natural classes identified in the paper.

What would settle it

A concrete instance of agents and items whose additive utilities fall into one of the two classes, yet the algorithm returns an allocation that still leaves group envy after any single-item removal.

read the original abstract

We consider a multi-agent resource allocation setting in which an agent's utility may decrease or increase when an item is allocated. We take the group envy-freeness concept that is well-established in the literature and present stronger and relaxed versions that are especially suitable for the allocation of indivisible items. Of particular interest is a concept called group envy-freeness up to one item (GEF1). We then present a clear taxonomy of the fairness concepts. We study which fairness concepts guarantee the existence of a fair allocation under which preference domain. For two natural classes of additive utilities, we design polynomial-time algorithms to compute a GEF1 allocation. We also prove that checking whether a given allocation satisfies GEF1 is coNP-complete when there are either only goods, only chores or both.

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 manuscript introduces stronger and relaxed variants of group envy-freeness suitable for indivisible goods and chores, with particular focus on group envy-freeness up to one item (GEF1). It develops a taxonomy of these fairness notions, analyzes existence guarantees under different preference domains, presents polynomial-time algorithms to compute GEF1 allocations for two natural classes of additive utilities, and proves that verifying whether a given allocation satisfies GEF1 is coNP-complete in the cases of only goods, only chores, or both.

Significance. If the algorithmic and complexity results hold, the work makes a solid contribution to fair division by extending group-based fairness concepts to settings with mixed positive and negative utilities. The explicit taxonomy clarifies relationships among notions, the polynomial-time algorithms for the two additive classes provide constructive existence results, and the coNP-completeness result for verification is a useful hardness characterization. These elements are proportionate to the scoped claims and could inform mechanism design for resource allocation.

minor comments (2)
  1. Abstract: the two natural classes of additive utilities are referenced but not named; naming them (or giving a one-sentence characterization) in the abstract or early introduction would improve readability without altering the technical claims.
  2. The taxonomy section would benefit from an explicit diagram or table summarizing the implication relationships among the fairness concepts, as the textual description alone can be dense.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive summary of the manuscript and for recommending minor revision. No specific major comments were raised in the report.

Circularity Check

0 steps flagged

No significant circularity

full rationale

The paper defines GEF1 and related fairness notions explicitly, then proves existence results, presents explicit polynomial-time algorithms for two additive utility classes, and establishes coNP-completeness via standard reductions. None of these steps reduce by construction to fitted parameters, self-citations, or renamed inputs; the claims rest on independent algorithmic constructions and complexity arguments that are self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Based solely on abstract; no free parameters, axioms, or invented entities are specified in the provided text.

pith-pipeline@v0.9.0 · 5656 in / 1002 out tokens · 17848 ms · 2026-05-24T20:14:57.649335+00:00 · methodology

discussion (0)

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