USE CASE: ACADEMIC & SCIENTIFIC RESEARCH
Synthesize Academic Literature on an Infinite Spatial AI Canvas
Stop losing citations in endless chat scrolls. Ingest 40MB PDF papers, extract empirical evidence into modular notes, and uncover cross-study contradictions with advanced reasoning models.
Interactive Research Graph Topology
Click on any node in the simulated research graph to inspect the data payload and active context cables.
PDF DOCUMENT NODE (40MB INGEST): Smith et al. (2024) - Empirical Attention DecayANCHOR RETRIEVAL: 100% | TOKEN DEPTH: 128K | CITATIONS PRESERVED: 42
File: smith_2024_attention_degradation.pdf (24 Pages | 18.4 MB)
Status: Complete Document Ingested & Indexed
Methodology:
Evaluated needle-in-a-haystack retrieval across 128k token context windows. Discovered a severe U-shaped attention curve where retrieval accuracy drops from 98% at prompt boundaries to 32% between 40%-70% token depth.
1D Linear Chat vs. 2D Spatial Research Canvas
| Research Capability | Black Meridian 2D Canvas | Traditional Linear Chat |
|---|---|---|
| PDF Document Ingestion | 40MB full papers per node with visual extraction | File dumped into chat stream, lost after 10 turns |
| Citation Integrity | 100% locked directional context cables | Severe middle-token hallucination & forgotten sources |
| Contradiction Mapping | Explicit 'Contradicts' semantic relationship lines | Manual re-prompting required across disjointed chats |
| Multi-Paper Synthesis | Deep reasoning nodes synthesize 10+ papers simultaneously | Exceeds attention window, truncating earlier papers |
Deploy the Academic Research Blueprint
Pre-loaded with sample PDF research nodes, extracted empirical evidence notes, contradiction edges, and a Deep Reasoning synthesis node.
Open Research Blueprint in App →