ARXIV:2602.10429 · ARTIFICIAL SOCIAL SIMULATION · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

AIvilization v0: Toward Large-Scale Artificial Social Simulation with a Unified Agent Architecture and Adaptive Agent Profiles

arXiv

AIvilization v0 enables comprehensive artificial social simulation with adaptable agent profiles for long-term stability.

Blocked on Code›Score3.0Evidence unverified

Opportunity summary

Pain AIvilization v0 enables comprehensive artificial social simulation with adaptable agent profiles for long-term stability.

Evidence 0 refs | 0 sources | 17% coverage

Blocker Evidence unverified

Open Build Read PDF Signal Canvas Track

PROBLEM

AIvilization v0 enables comprehensive artificial social simulation with adaptable agent profiles for long-term stability. To mitigate the tension between goal stability and reactive correctness, we introduce (i) a hierarchical branch-thinking planner that decomposes life…

METHOD

Full abstract

AIvilization v0 is a publicly deployed large-scale artificial society that couples a resource-constrained sandbox economy with a unified LLM-agent architecture, aiming to sustain long-horizon autonomy while remaining executable under rapidly changing environment. To mitigate the tension between goal stability and reactive correctness, we introduce (i) a hierarchical branch-thinking planner that decomposes life goals into parallel objective branches and uses simulation-guided validation plus tiered re-planning to ensure feasibility; (ii) an adaptive agent profile with dual-process memory that separates short-term execution traces from long-term semantic consolidation, enabling persistent yet evolving identity; and (iii) a human-in-the-loop steering interface that injects long-horizon objectives and short commands at appropriate abstraction levels, with effects propagated through memory rather than brittle prompt overrides. The environment integrates physiological survival costs, non-substitutable multi-tier production, an AMM-based price mechanism, and a gated education-occupation system. Using high-frequency transactions from the platforms mature phase, we find stable markets that reproduce key stylized facts (heavy-tailed returns and volatility clustering) and produce structured wealth stratification driven by education and access constraints. Ablations show simplified planners can match performance on narrow tasks, while the full architecture is more robust under multi-objective, long-horizon settings, supporting delayed investment and sustained exploration.

RESULT

ScienceToStartup currently rates this 3.0/10 on the public viability pass. Ablations show simplified planners can match performance on narrow tasks, while the full architecture is more robust under multi-objective, long-horizon settings, supporting delayed investment…

WHY NOW

Artificial Social Simulation moved forward this cycle; last verified April 2026. Public score 3.0/10.

Continue into Read for claims, analysis, references, and neighboring papers.

Opportunity summary

Score3.0

PainAIvilization v0 enables comprehensive artificial social simulation with adaptable agent profiles for long-term stability.

Evidence0 refs | 0 sources | 17% coverage

Blockermissing authors

Analysis summary

AIvilization v0 enables comprehensive artificial social simulation with adaptable agent profiles for long-term stability.

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

ARXIV:2602.10429 · ARTIFICIAL SOCIAL SIMULATION · SUBMITTED 02 APR · 02:30 UTC · FRESHNESS STALE

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

AIvilization v0: Toward Large-Scale Artificial Social Simulation with a Unified Agent Architecture and Adaptive Agent Profiles

arXiv

AIvilization v0 enables comprehensive artificial social simulation with adaptable agent profiles for long-term stability.

Blocked on Code›Score3.0Evidence unverified

Opportunity summary

Pain AIvilization v0 enables comprehensive artificial social simulation with adaptable agent profiles for long-term stability.

Evidence 0 refs | 0 sources | 17% coverage

Blocker Evidence unverified

Open Build Read PDF Signal Canvas Track

PROBLEM

METHOD

Full abstract

RESULT

WHY NOW

Artificial Social Simulation moved forward this cycle; last verified April 2026. Public score 3.0/10.

Continue into Read for claims, analysis, references, and neighboring papers.

Opportunity summary

Score3.0

PainAIvilization v0 enables comprehensive artificial social simulation with adaptable agent profiles for long-term stability.

Evidence0 refs | 0 sources | 17% coverage

Blockermissing authors

Analysis summary

AIvilization v0 enables comprehensive artificial social simulation with adaptable agent profiles for long-term stability.

VerifiedSource: PDF linkedPartialPaperPack: 3 of 4 citation fields filledMissingMissing fields: authorsPartialProof: unverified proof status

Paper Pack

10.48550/arXiv.2602.10429

AIvilization v0: Toward Large-Scale Artificial Social Simulation with a Unified Agent Architecture and Adaptive Agent Profiles

AIvilization v0 enables comprehensive artificial social simulation with adaptable agent profiles for long-term stability.

Abstract

Source availability

PDF linked

The paper record includes a public PDF URL.

Extraction status

Derived fallback

Read summaries are estimated from adjacent metadata, not verified extraction rows.

Proof status

unverified

0 refs; 0 sources; 17% coverage.

What was readable

linkedon filenot materializedderived fallback55 indexednot indexed

Derived fallback: Estimated from adjacent evidence; not verified from source.

Viability

3.0

Time to MVP

MVP estimate missing

Commercial

No commercial flags on file

Export

Preparing verified analysis

lens / founder

PROBLEM

METHOD

RESULT

WHY NOW

Artificial Social Simulation moved forward this cycle; last verified April 2026. Public score 3.0/10.

Claim map

Abstract-backed public claims while anchored extraction refreshes.

Strong 0Mixed 0Weak 4

Evidencepartial
AIvilization v0 enables comprehensive artificial social simulation with adaptable agent profiles for long-term stability. To mitigate the tension between goal stability and reactive correctness, we introduce (i) a hierarchical branch-thinking planner that decomposes life goals into parallel objective branches and uses simulation-guided validation plus tiered re-planning to ensure feasibility; (ii) an adaptive agent profile with dual-process memory that separates short-term execution traces from long-term semantic consolidation, enabling persistent yet evolving identity; and (iii) a human-in-the-loop steering interface that injects long-horizon objectives and short commands at appropriate abstraction levels, with effects propagated through memory rather than brittle prompt overrides.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
AIvilization v0 is a publicly deployed large-scale artificial society that couples a resource-constrained sandbox economy with a unified LLM-agent architecture, aiming to sustain long-horizon autonomy while remaining executable under rapidly changing environment. To mitigate the tension between goal stability and reactive correctness, we introduce (i) a hierarchical branch-thinking planner that decomposes life goals into parallel objective branches and uses simulation-guided validation plus tiered re-planning to ensure feasibility; (ii) an adaptive agent profile with dual-process memory that separates short-term execution traces from long-term semantic consolidation, enabling persistent yet evolving identity; and (iii) a human-in-the-loop steering interface that injects long-horizon objectives and short commands at appropriate abstraction levels, with effects propagated through memory rather than brittle prompt overrides.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
ScienceToStartup currently rates this 3.0/10 on the public viability pass. Ablations show simplified planners can match performance on narrow tasks, while the full architecture is more robust under multi-objective, long-horizon settings, supporting delayed investment and sustained exploration.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial
Evidencepartial
Artificial Social Simulation moved forward this cycle; last verified April 2026. Public score 3.0/10.
Implicationpartial
Abstract-backed fallback claim; anchored extraction has not materialized a public claim row yet.
Verificationpartial
partial

Constellation map

Paper-native neighborhood for concepts, methods, materials, markets, and competitors. Missing lanes stay labeled instead of disappearing behind commercialization gates.

Open full Signal Canvas

Concepts

not indexed

Methods

Materials

PDF linked

Markets

Artificial Social Simulation

Competitors

not indexed

Competitive landscape

AIvilization v0 enables comprehensive artificial social simulation with adaptable agent profiles for long-term stability.

Segment

Artificial Social Simulation

Adoption evidence

No public code link in the paper record yet

Commercial read

3.0/10 public viability

Direct

not classified

Adjacent

not classified

Substitute

not classified

Unknown

not classified

Buzz

No indexed public discussion is attached to 2602.10429 yet. That is a visibility signal, not a blank module: the monitor is watching the public channels below.

Hacker News

Not indexed yet

Bluesky

Not indexed yet

PDF

Preview the source document here, or use the hero PDF action for a new tab.

References(55)

SocioVerse: A World Model for Social Simulation Powered by LLM Agents and A Pool of 10 Million Real-World Users

2025Xinnong Zhang, Jiayu Lin et al.

AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society

2025J. Piao, Yuwei Yan et al.

Generative Agent Simulations of 1,000 People

2024Joon Sung Park, Carolyn Q. Zou et al.

Project Sid: Many-agent simulations toward AI civilization

2024AL Altera., Andrew Ahn et al.

Agents Thinking Fast and Slow: A Talker-Reasoner Architecture

2024Konstantina Christakopoulou, Shibl Mourad et al.

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents

2023Weize Chen, Yusheng Su et al.

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

2023Qingyun Wu, Gagan Bansal et al.

MetaGPT: Meta Programming for Multi-Agent Collaborative Framework

2023Sirui Hong, Xiawu Zheng et al.

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

2023Yujia Qin, Shi Liang et al.

Creating Large Language Model Applications Utilizing LangChain: A Primer on Developing LLM Apps Fast

2023Oguzhan Topsakal, T. Akinci

Voyager: An Open-Ended Embodied Agent with Large Language Models

2023Guanzhi Wang, Yuqi Xie et al.

Tree of Thoughts: Deliberate Problem Solving with Large Language Models

2023Shunyu Yao, Dian Yu et al.

Generative Agents: Interactive Simulacra of Human Behavior

2023J. Park, Joseph C. O’Brien et al.

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society

2023G. Li, Hasan Hammoud et al.

Self-Refine: Iterative Refinement with Self-Feedback

2023Aman Madaan, Niket Tandon et al.

Reflexion: language agents with verbal reinforcement learning

2023Noah Shinn, Federico Cassano et al.

ChatGPT for Robotics: Design Principles and Model Abilities

2023Sai H. Vemprala, Rogerio Bonatti et al.

Toolformer: Language Models Can Teach Themselves to Use Tools

2023Timo Schick, Jane Dwivedi-Yu et al.

Constitutional AI: Harmlessness from AI Feedback

2022Yuntao Bai, Saurav Kadavath et al.

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

2022Michael Ahn, Anthony Brohan et al.

Showing 20 of 55 references

CITED BY

No citing papers are indexed in the public S2S graph yet. This is an explicit zero-signal state, not a hidden lookup.

Foundation

Prior WorkAgentSchool: An LLM-Powered Multi-Agent Simulation for Education

3.0

Prior WorkEconomy of Minds: Emerging Multi-Agent Intelligence with Economic Interactions

3.0

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

3.0

Prior WorkArtificial Agency Program: Curiosity, compression, and communication in agents

3.0

Extension

Builds On ThisWhen Agents Evolve, Institutions Follow

1.0

Builds On ThisFrom Control to Foresight: Simulation as a New Paradigm for Human-Agent Collaboration

2.0

Builds On ThisAgent Economics: An Entropy-Controlled Pluralistic Alignment Framework for Preventing Artificial Hivemind in Autonomous Agents

0.0

Commercially relevant

Higher ViabilityALSO: Adversarial Online Strategy Optimization for Social Agents

7.0

Higher ViabilityAgent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning

7.0

Higher ViabilitySocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems

5.0

Conflicting

none indexed

Owned Distribution

Subscribe to the weekly brief

Get the weekly shortlist of commercializable papers, benchmark movers, and proof receipts that matter for product execution.

Agent drawer

5 surfaces preserved for agents. Humans can ignore.

Developer contracts, payload previews, evidence maps, and run controls stay here instead of the Read, Build, and Track workspace.

Run context

Paper: 2602.10429
Route: /paper/aivilization-v0-toward-large-scale-artificial-social-simulation-with-a-unified-agent-architecture-and-adaptive-agent-pro
Active tab: read
Artifact: aivilization-v0-toward-large-scale-artificial-social-simulation-with-a-unified-agent-architecture-and-adaptive-agent-pro

Available agents

Read extractor
Build planner
Track monitor
Competitive mapper
Related-paper scout

API/MCP endpoints

REST paper pack API/api/v1/paper/aivilization-v0-toward-large-scale-artificial-social-simulation-with-a-unified-agent-architecture-and-adaptive-agent-pro/paper-pack
REST build passport API/api/v1/paper/aivilization-v0-toward-large-scale-artificial-social-simulation-with-a-unified-agent-architecture-and-adaptive-agent-pro/build-passport
REST OpenAPI/api/openapi.json
MCP descriptor/api/mcp
MCP resourcesciencetostartup://surfaces/paper-workspace

Tool contracts

paper_packbuild_passportopportunity_kernelforesightsource_proofevidence_state

Payload preview

Inspect payload

{
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  "canonical_route": "/paper/aivilization-v0-toward-large-scale-artificial-social-simulation-with-a-unified-agent-architecture-and-adaptive-agent-pro",
  "active_tab": "synced from current hash by the drawer client",
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  "endpoints": {
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    "build_passport": "/api/v1/paper/aivilization-v0-toward-large-scale-artificial-social-simulation-with-a-unified-agent-architecture-and-adaptive-agent-pro/build-passport",
    "mcp_resource": "sciencetostartup://surfaces/paper-workspace"
  }
}

Schema validation

paper-r2 contract: present
JSON-LD twin: SSR emitted
OpenAPI path parity: /api/openapi.json
MCP resource parity: paper-workspace

Job trace

queued: drawer opened by user action
running: inspect or copy payload
succeeded: payload available in SSR
failed: route errors appear in evidence cards

Evidence map

sources used: page freshness, source proof anchors, JSON-LD
missing sources: exposed by PaperPack and EvidenceState chips
derived fallbacks: marked unverified before handoff

Page Freshness

Canonical route, proof status, last verified, refs, sources, and coverage.

Page Freshness

Paper proof surface

Canonical route: /paper/aivilization-v0-toward-large-scale-artificial-social-simulation-with-a-unified-agent-architecture-and-adaptive-agent-pro

stale

Proof freshness: stale
Proof status: unverified
Display score: 3/10
Last proof check: 2026-04-02
Score updated: 2026-04-02
Score fresh until: 2026-05-02
References: 0
Source count: 0
Coverage: 17%

This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.

OpenAlex: pending — this preprint is not yet indexed by OpenAlex.

Agent Handoff

Endpoint list, payload shape, route context, and copyable handoff data.

Agent Handoff

AIvilization v0: Toward Large-Scale Artificial Social Simulation with a Unified Agent Architecture and Adaptive Agent Profiles

Canonical ID aivilization-v0-toward-large-scale-artificial-social-simulation-with-a-unified-agent-architecture-and-adaptive-agent-pro | Route /paper/aivilization-v0-toward-large-scale-artificial-social-simulation-with-a-unified-agent-architecture-and-adaptive-agent-pro

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/paper/aivilization-v0-toward-large-scale-artificial-social-simulation-with-a-unified-agent-architecture-and-adaptive-agent-pro

MCP example

{
  "tool": "get_paper",
  "arguments": {
    "arxiv_id": "2602.10429"
  }
}

source_context

{
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  "mode": "paper",
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  "paper_ref": "aivilization-v0-toward-large-scale-artificial-social-simulation-with-a-unified-agent-architecture-and-adaptive-agent-pro",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Buildability Receipt

Verdict, compute envelope, blockers, signature state, and receipt links.

Paper proof page receipt window

Not build-ready: AIvilization v0: Toward Large-Scale Artificial Social Simulation with a Unified Agent Architecture and Adaptive Agent Profiles

/buildability/aivilization-v0-toward-large-scale-artificial-social-simulation-with-a-unified-agent-architecture-and-adaptive-agent-pro

Ignoreblocked

Subject: AIvilization v0: Toward Large-Scale Artificial Social Simulation with a Unified Agent Architecture and Adaptive Agent Profiles

Verdict

Ignore

Verdict is Ignore because current viability and proof state do not clear the buildability gate.

Time to first demo

Insufficient data

No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.

Compute envelope

Structured compute envelope

Insufficient data

No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.

Evidence ids

Receipt path

/buildability/aivilization-v0-toward-large-scale-artificial-social-simulation-with-a-unified-agent-architecture-and-adaptive-agent-pro

Paper ref

aivilization-v0-toward-large-scale-artificial-social-simulation-with-a-unified-agent-architecture-and-adaptive-agent-pro

arXiv id

2602.10429

Freshness

Generated at

2026-04-02T02:30:40.136Z

Evidence freshness

stale

Last verification

2026-04-02T02:30:40.136Z

Sources

References

Coverage

17%

Hash state

Lineage hash

8fb4fc53e0431e6372b3d84cffec95356b023edd314586448f3c56b7970bfad0

Canonical opportunity-kernel lineage hash.

Signature state

External signature

unsigned_external

No founder, registry, pilot, or production-adoption signature is attached to this receipt.

Verification

not_verified

Verification is blocked until an external signature is provided.

Blockers

Missing: repo_url
Missing: references
Missing: proof_status
Missing: distribution_readiness_scores
Missing: paper_extraction_scorecards
Unknown: distribution readiness has not been computed yet
Unknown: proof verification has not been recorded yet

Verification pending / evidence receipt incomplete

repo_url

references

Missing proof, requirement, signature, approval, adoption, or telemetry fields are blockers and must not be inferred.

Open receipt API receipt Build Loop Signal Canvas Proof divergence Divergence API Brier outcomes API

Source Proof anchors

Visual citations from the paper document graph.

JSON-LD twin

The application/ld+json payload rendered for agents.

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AIvilization v0: Toward Large-Scale Artificial Social Simulation with a Unified Agent Architecture and Adaptive Agent Profiles

AIvilization v0: Toward Large-Scale Artificial Social Simulation with a Unified Agent Architecture and Adaptive Agent Profiles

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