Pith Number

pith:G4GHMHBW

pith:2026:G4GHMHBWFL7MDPPJFTBMA22ZWU

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Adaptive Pluralistic Alignment: A pipeline for dynamic artificial democracy

Rachel Freedman

A pipeline called Adaptive Pluralistic Alignment lets AI systems update their pluralistic alignment by adapting only the weights on fixed reward model bases as values evolve.

arxiv:2605.01642 v2 · 2026-05-02 · cs.LG

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\pithnumber{G4GHMHBWFL7MDPPJFTBMA22ZWU}

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3 Author claim open · sign in to claim

4 Citations open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

APA has three stages: (1) learning compact personalized reward models via low-rank reward basis decomposition, (2) using these models as a jury that collectively selects among candidate outputs through social-choice-theoretic voting, and (3) efficiently adapting the jury over time by fitting new annotator weights over the fixed reward bases as values shift.

C2weakest assumption

That low-rank reward basis decomposition captures enough structure of individual preferences for weight-only adaptation to track genuine value shifts without requiring updates to the bases themselves.

C3one line summary

APA is a modular pipeline that decomposes preferences into compact reward bases, aggregates them via jury voting, and adapts only annotator weights over time to track shifting values.

Cited by

1 paper in Pith

When to Ask a Question: Understanding Communication Strategies in Generative AI Tools

Receipt and verification

First computed	2026-06-08T01:05:11.480182Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

370c761c362afec1bde92cc2c06b59b536e1521cb265041bf4a6f62f979ed328

Aliases

arxiv: 2605.01642 · arxiv_version: 2605.01642v2 · doi: 10.48550/arxiv.2605.01642 · pith_short_12: G4GHMHBWFL7M · pith_short_16: G4GHMHBWFL7MDPPJ · pith_short_8: G4GHMHBW

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/G4GHMHBWFL7MDPPJFTBMA22ZWU \
  | 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: 370c761c362afec1bde92cc2c06b59b536e1521cb265041bf4a6f62f979ed328

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "7db267445fbb73c478a4ba284eb737d6fe47151f307d7fdbbf22dfe9dc31fa5a",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-02T23:22:23Z",
    "title_canon_sha256": "0a6d59f6026b8db4246e3eb66cb13bd5be108f1ead3cb0cb2b9b03fc1ba274cc"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.01642",
    "kind": "arxiv",
    "version": 2
  }
}