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
1Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2112286081
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Anirban Mukherjee (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 2 papers
- Innovation: 2 papers
- Adoption: 1 paper
Claim outcomes
- Governance And Regulation: 2 papers
- Ai Safety And Ethics: 1 paper
- Innovation Output: 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 proposed 'AI-FOPT' rule would presume downstream models tainted if their foundational model ingested copyrighted material improperly, forcing downstream developers to prove lawful provenance or rebuild before commercialization; the standard aims to prevent 'copyright laundering' through multi-generational synthetic pipelines.arxiv | Anirban Mukherjee provider id |
2026-01-06 | 1 |
| AI's 'fluid agency' unravels origin-based legal tests for authorship and liability; courts should adopt a pragmatic 'functional equivalence' rule that vests rights in human orchestrators and shifts responsibility toward enterprise-level or no-fault schemes.arxiv | Anirban Mukherjee provider id |
2026-01-06 | 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 1 cumulative citations. This is a coverage summary, not an author score or h-index.