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
8Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2375142042
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Federico Pierucci (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 2 papers
- Org Design: 2 papers
Claim outcomes
- Ai Safety And Ethics: 2 papers
- Governance And Regulation: 2 papers
- Market Structure: 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 |
|---|---|---|---|
| A governance-graph institutional regime slashes simulated LLM collusion—mean collusion tier falls from 3.1 to 1.8 (Cohen's d=1.28) and severe-collusion incidence drops from 50% to 5.6%—while a prompt-only prohibition delivers no reliable improvement.arxiv | Federico Pierucci provider id |
2026-01-16 | 15 |
| Alignment for agentic AI is not just a model problem but a governance problem: the authors propose an 'institutional AI' approach using runtime monitoring, incentives, norms and enforcement to reshape payoffs and constrain misaligned agent collectives; without institutional constraints, individual alignment methods risk deception, instrumental overrides and collusive drift.arxiv | Federico Pierucci provider id |
2026-01-15 | 5 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 20 cumulative citations. This is a coverage summary, not an author score or h-index.