Pith Number
pith:2MSZS5PR
pith:2026:2MSZS5PRAMEXOACADCOE2I3A7G
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The End Justifies the Mean: A Linear Ranking Rule for Proportional Sequential Decisions
The angular mean of voter vectors satisfies long-run individual proportionality for repeated linear rankings.
arxiv:2605.12717 v1 · 2026-05-12 · cs.GT · cs.AI
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Citations
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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
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Claims
C1strongest claim
Our main result is that, surprisingly, there is a simple rule that does satisfy long-run IP: the angular mean, the spherical analog of the arithmetic mean.
C2weakest assumption
That long-run average proportionality is acceptable even when per-batch outcomes can deviate substantially, and that voter preferences remain fixed across batches.
C3one line summary
The angular mean of voter scoring vectors satisfies long-run individual proportionality for sequential linear ranking decisions.
References
[1] On the convergence of gradient descent for finding the Riemannian center of mass
[2] The moral machine experiment
[3] On the stability of moral preferences: A problem with computational elicitation methods
[4] Optimal budget aggregation with single-peaked preferences
[5] Justified representation for perpetual voting
Formal links
Receipt and verification
| First computed | 2026-05-18T03:09:49.458299Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d3259975f10309770040189c4d2360f990301ce34659fd7fb2556c9e10e25da3
Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2MSZS5PRAMEXOACADCOE2I3A7G \
| 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: d3259975f10309770040189c4d2360f990301ce34659fd7fb2556c9e10e25da3
Canonical record JSON
{
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"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.GT",
"submitted_at": "2026-05-12T20:26:37Z",
"title_canon_sha256": "2033f25ac2c4fe99f6388d8642007658c5c673bb3d92d64cc7094117ca7b4ffc"
},
"schema_version": "1.0",
"source": {
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"kind": "arxiv",
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}