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
2Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
143781405
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Ravi Krishna (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Innovation: 1 paper
- Productivity: 1 paper
Claim outcomes
- Output Quality: 1 paper
- Task Allocation: 1 paper
- Innovation Output: 1 paper
- Task Completion Time: 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 |
|---|---|---|---|
| An autonomous AI agent designed a tape-out-ready RISC-V CPU end-to-end in about 12 hours, producing a VerCore with a CoreMark of 3261 (comparable to a 2011 Intel Celeron) using the academic ASAP7 process; the result demonstrates AI-driven automation of substantial parts of chip design, though only on an academic node and a single project.arxiv | Ravi Krishna provider id |
2026-02-06 | 7 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 7 cumulative citations. This is a coverage summary, not an author score or h-index.