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 →
1Distinct papers
11Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2299279298
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Hongliang Zhang (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Org Design: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Market Structure: 1 paper
- Other: 1 paper
- Ai Safety And Ethics: 1 paper
- Innovation Output: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| Tokens are the new production factor for agentic AI: this paper unifies systems, economic, and security research into a four-part taxonomy showing how token budgets shape single-agent optimization, multi-agent coordination, ecosystem pricing and congestion, and adversarial constraints, and calls for differentiable budgets and market mechanisms to scale agent systems.arxiv | Hongliang Zhang provider id |
2026-05-09 | 2 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 2 cumulative citations. This is a coverage summary, not an author score or h-index.