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
0Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2239566648
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- V. Srinivasan (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Org Design: 2 papers
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 2 papers
- Other: 2 papers
- Organizational Efficiency: 1 paper
- Governance And Regulation: 1 paper
- Output Quality: 1 paper
- Research Productivity: 1 paper
- Ai Safety And Ethics: 1 paper
- Firm Productivity: 1 paper
- Regulatory Compliance: 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 |
|---|---|---|---|
| A stateless memory design gives enterprises the auditability and determinism they need without sacrificing accuracy: Deterministic Projection Memory cuts decision-time LLM calls to one, runs 7–15× faster under tight budgets and improves factual precision and reasoning coherence markedly versus summarization pipelines at 20× compression.arxiv | V. Srinivasan provider id |
2026-04-22 | 0 |
| The dominant agent protocol (MCP) powers tens of thousands of servers but misses three core primitives—identity propagation, adaptive timeout budgeting and structured error semantics—leaving production agent deployments fragile. Implementing the paper's CABP, ATBA and SERF proposals would cut incident and remediation costs, enable tighter SLAs and create room for vendors to differentiate on production readiness.arxiv | V. Srinivasan provider id |
2026-03-12 | 2 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 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.