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pith:7RGT5VOR

pith:2026:7RGT5VORVERLDTV3ENGI64ZB3Q
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Improved Parallel Algorithms for EF1 Allocations

D Ellis Hershkowitz, Gregory Kehne, Kishen N Gowda, Richard Z Huang

New parallel algorithms compute EF1 allocations in NC for any constant number of agents while cutting depth and work for two agents.

arxiv:2605.16791 v1 · 2026-05-16 · cs.DS · cs.GT

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4 Citations open
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Claims

C1strongest claim

We significantly generalize beyond 3 agents by giving NC algorithms for any constant number of agents. We also give randomized algorithms with depth Õ(m/n) and polynomial work.

C2weakest assumption

The input valuations allow efficient parallel access and comparison operations in the PRAM or similar model without hidden logarithmic overheads that would invalidate the claimed depth bounds (implicit in the parallel algorithm constructions described in the abstract).

C3one line summary

NC algorithms for EF1 with any constant number of agents, O(log m) depth for two agents, and RNC for EFk allocations up to k approximately sqrt(m).

References

55 extracted · 55 resolved · 0 Pith anchors

[1] Fairly Allocating Goods in Parallel , author=
[2] A sublinear parallel algorithm for stable matching , volume =
[3] 2020 , issue_date = 2020
[4] Best of both worlds: Ex-ante and ex-post fairness in resource allocation , author=
[5] and Fineman, Jeremy T
Receipt and verification
First computed 2026-05-20T00:03:22.257767Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

fc4d3ed5d1a922b1cebb234c8f7321dc2c9f0a96909947da40daf2f0d3f34bd4

Aliases

arxiv: 2605.16791 · arxiv_version: 2605.16791v1 · doi: 10.48550/arxiv.2605.16791 · pith_short_12: 7RGT5VORVERL · pith_short_16: 7RGT5VORVERLDTV3 · pith_short_8: 7RGT5VOR
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/7RGT5VORVERLDTV3ENGI64ZB3Q \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: fc4d3ed5d1a922b1cebb234c8f7321dc2c9f0a96909947da40daf2f0d3f34bd4
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2026-05-16T03:50:42Z",
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