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
4Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
19248159
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Gopi Krishnan Rajbahadur (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Innovation: 1 paper
Claim outcomes
- Regulatory Compliance: 1 paper
- Other: 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 |
|---|---|---|---|
| Licenses are routinely stripped as AI artifacts move downstream: in a 232,270-chain trace, permissive licenses survive almost universally (95.1%) while obligation-bearing licenses rarely persist (below 7%), and 62.3% of chains include at least one artifact with no declared license; the pattern is concentrated in a few foundational datasets and calls for clearer licensing practices and platform safeguards.arxiv | Gopi Krishnan Rajbahadur provider id |
2026-07-22 | 0 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 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.