Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
2Distinct papers
0Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2086421182
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Jean-Philippe Garnier (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Org Design: 2 papers
- Governance: 1 paper
- Productivity: 1 paper
Claim outcomes
- Organizational Efficiency: 2 papers
- Other: 2 papers
- Consumer Welfare: 1 paper
- Market Structure: 1 paper
- Task Allocation: 1 paper
- Fiscal And Macroeconomic: 1 paper
- Governance And Regulation: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Pretrained LLMs can, in theory, be organized into welfare-maximizing economies: treating each model as a firm and the orchestrator as a consumer yields a general equilibrium with functional prices that decentralize Pareto optima. Under a contraction condition the equilibrium is unique and reached by a Walrasian tâtonnement with geometric convergence.arxiv | Jean-Philippe Garnier provider id |
2026-02-23 | 0 |
| A formal economic theory shows self-organizing AI 'hives' can converge to unique optima, flip into multiple equilibria, or generate endogenous demographic cycles depending on resource endowments and complementarities; the analytical toolkit provides comparative-statics and stability conditions operators can use to predict and steer agent populations.arxiv | Jean-Philippe Garnier provider id |
2026-02-23 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.