Pith Number

pith:HLOPK7VX

pith:2025:HLOPK7VX27MYM24YQ4YLTTSXY3

not attested not anchored not stored refs pending

TinyTroupe: An LLM-powered Multiagent Persona Simulation Toolkit

Christopher Olsen, Paulo Salem, Prerit Saxena, Rafael Barcelos, Robert Sim, Yi Ding

TinyTroupe lets users define detailed personas and run LLM-driven simulations to solve individual or group behavioral problems.

arxiv:2507.09788 v3 · 2025-07-13 · cs.MA · cs.AI · cs.CL · cs.HC

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Record completeness

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2 Internet Archive

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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

TinyTroupe enables the concise formulation of behavioral problems of practical interest, either at the individual or group level, and provides effective means for their solution through detailed persona definitions and LLM-driven mechanisms.

C2weakest assumption

That LLM outputs conditioned on the supplied persona attributes will produce sufficiently realistic and consistent human-like behavior for the intended simulation use cases, as assumed in the design of the persona specification and control mechanisms.

C3one line summary

TinyTroupe provides a toolkit for fine-grained persona-based LLM multi-agent simulations with built-in support for population sampling, experimentation, and validation.

Formal links

2 machine-checked theorem links

Cited by

3 papers in Pith

PersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language Models

ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles

CHORUS: An Agentic Framework for Generating Realistic Deliberation Data

Receipt and verification

First computed	2026-06-10T01:09:19.945458Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3adcf57eb7d7d9866b988730b9ce57c6fb4a958086943ddae62a005b71ba1418

Aliases

arxiv: 2507.09788 · arxiv_version: 2507.09788v3 · doi: 10.48550/arxiv.2507.09788 · pith_short_12: HLOPK7VX27MY · pith_short_16: HLOPK7VX27MYM24Y · pith_short_8: HLOPK7VX

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/HLOPK7VX27MYM24YQ4YLTTSXY3 \
  | 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: 3adcf57eb7d7d9866b988730b9ce57c6fb4a958086943ddae62a005b71ba1418

Canonical record JSON

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    "abstract_canon_sha256": "ec1d1051edf1fecf410cd3ac7e854f6d07ff73a91174dd3edccef3fc6c26a00c",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL",
      "cs.HC"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.MA",
    "submitted_at": "2025-07-13T21:00:27Z",
    "title_canon_sha256": "61c28e7a278bec48ad133ae2348950444822628a8f176e9e414e7c3be4a7642c"
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  "source": {
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    "kind": "arxiv",
    "version": 3
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}