Pith Number

pith:TK52OWXW

pith:2026:TK52OWXWSZV2EMAQZPFPPUBVNH

not attested not anchored not stored refs resolved

When Identity Overrides Incentives: Representational Choices as Governance Decisions in Multi-Agent LLM Systems

Snehalkumar `Neil' S. Gaikwad, Viswonathan Manoranjan

Assigning role-based personas to LLM agents suppresses payoff-aligned behavior in strategic games.

arxiv:2601.10102 v5 · 2026-01-15 · cs.MA

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\pithnumber{TK52OWXWSZV2EMAQZPFPPUBVNH}

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3 Author claim open · sign in to claim

4 Citations open

5 Replications 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

assigning role-based personas suppresses payoff-aligned behavior in four-agent strategic games, shifting equilibrium attainment by up to 90 percentage points even when agents have complete payoff information

C2weakest assumption

That the large observed shifts are caused by the persona assignments themselves rather than by uncontrolled differences in prompt phrasing, model-specific training data, or how equilibria are classified from the generated text.

C3one line summary

Role-based personas in multi-agent LLM systems suppress payoff-aligned behavior, shifting equilibrium selection by up to 90 percentage points in Tragedy of the Commons versus Green Transition scenarios even with full payoff information.

References

58 extracted · 58 resolved · 6 Pith anchors

[1] Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad, Lea Schönherr, and Mario Fritz. 2024. LLM-Deliberation: Evaluating Large Language Models with Inter- active Multi-Agent Negotiation Games.International C 2024

[2] Llm-coordination: Evaluating and analyzing multi-agent coordination abilities in large language models 2025

[3] Gati V Aher, Rosa I Arriaga, and Adam Tauman Kalai. 2023. Using large language models to simulate multiple humans and replicate human subject studies. In International conference on machine learning. 2023

[4] J., Bethge, M., & Schulz, E 2025 · doi:10.1038/s41562-025-02172-y

[5] 2003.Environment and statecraft: The strategy of environmental treaty-making: The strategy of environmental treaty-making 2003

Cited by

1 paper in Pith

When Reasoning Models Hurt Behavioral Simulation: A Solver-Sampler Mismatch in Multi-Agent LLM Negotiation

Receipt and verification

First computed	2026-05-18T03:09:24.460957Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9abba75af6966ba23010cbcaf7d03569d4168fde07100e605044d3fbc13e3f9d

Aliases

arxiv: 2601.10102 · arxiv_version: 2601.10102v5 · doi: 10.48550/arxiv.2601.10102 · pith_short_12: TK52OWXWSZV2 · pith_short_16: TK52OWXWSZV2EMAQ · pith_short_8: TK52OWXW

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/TK52OWXWSZV2EMAQZPFPPUBVNH \
  | 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: 9abba75af6966ba23010cbcaf7d03569d4168fde07100e605044d3fbc13e3f9d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "0ae4f5fdd2d1083d2ec0d4552651225c005dff81aacad569077b31571084336d",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.MA",
    "submitted_at": "2026-01-15T06:14:01Z",
    "title_canon_sha256": "20d31a99d83fc5285fb25b103878d38ab4e622675a60f9e5cf437af027010ae2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2601.10102",
    "kind": "arxiv",
    "version": 5
  }
}