Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
Use This Via API or MCP
Signal Canvas is the citation-first public layer for turning one paper into a structured commercialization narrative. Use it to hand off into REST, MCP, Build Loop, and launch-pack execution without losing source lineage.
Use This Via API or MCP
Route this paper proof surface into REST, MCP, or developer workflows while preserving the same evidence receipt and related-resource context.
Page Freshness
Canonical route: /signal-canvas/hunt-globally-deep-research-ai-agents-for-drug-asset-scouting-in-investing-business-development-and-search-evaluation
This page has proof data, but the latest verification did not complete cleanly.
Agent Handoff
Canonical ID hunt-globally-deep-research-ai-agents-for-drug-asset-scouting-in-investing-business-development-and-search-evaluation | Route /signal-canvas/hunt-globally-deep-research-ai-agents-for-drug-asset-scouting-in-investing-business-development-and-search-evaluation
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/hunt-globally-deep-research-ai-agents-for-drug-asset-scouting-in-investing-business-development-and-search-evaluationMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "hunt-globally-deep-research-ai-agents-for-drug-asset-scouting-in-investing-business-development-and-search-evaluation",
"query_text": "Summarize Hunt Globally: Deep Research AI Agents for Drug Asset Scouting in Investing, Business Development, and Search & Evaluation"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Hunt Globally: Deep Research AI Agents for Drug Asset Scouting in Investing, Business Development, and Search & Evaluation",
"normalized_query": "2602.15019",
"route": "/signal-canvas/hunt-globally-deep-research-ai-agents-for-drug-asset-scouting-in-investing-business-development-and-search-evaluation",
"paper_ref": "hunt-globally-deep-research-ai-agents-for-drug-asset-scouting-in-investing-business-development-and-search-evaluation",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 8
References: Pending verification
Proof: Verification pending
Freshness state: stale
Source paper: Hunt Globally: Deep Research AI Agents for Drug Asset Scouting in Investing, Business Development, and Search & Evaluation
PDF: https://arxiv.org/pdf/2602.15019v1
Source count: Pending verification
Coverage: 33%
Last proof check: 2026-03-19T21:31:49.672Z
Signal Canvas receipt window
/buildability/hunt-globally-deep-research-ai-agents-for-drug-asset-scouting-in-investing-business-development-and-search-evaluation
Subject: Hunt Globally: Deep Research AI Agents for Drug Asset Scouting in Investing, Business Development, and Search & Evaluation
Verdict
Preparing verified analysis
Dimensions overall score 8.0
No public code linked for this paper yet.
Bioptic Agent achieves 79.7% F1 versus 56.2% (Claude Opus 4.6), 50.6% (Gemini 3 Pro + Deep Research), 46.6% (GPT-5.2 Pro), 44.2% (Perplexity Deep Research), and 26.9% (Exa Websets).
Directly stated in abstract with specific numeric results comparing multiple systems
partial
Recent data suggests >85% of patent filings originate outside the U.S., with China accounting for nearly half of the global total
Explicitly stated in abstract with specific percentage data
partial
Industry estimates put China at ~30% of global drug development, spanning 1,200+ novel candidates.
Directly stated in abstract with specific numeric data
partial
Performance improves steeply with additional compute, supporting the view that more compute yields better results.
Directly stated in abstract as a conclusion from the research
partial
We propose a benchmarking methodology for drug asset scouting and a tuned, tree-based self-learning Bioptic Agent aimed at complete, non-hallucinated scouting.
Directly stated in abstract describing the method
partial
We construct a challenging completeness benchmark using a multilingual multi-agent pipeline: complex user queries paired with ground-truth assets that are largely outside U.S.-centric radar.
Directly stated in abstract describing the benchmarking methodology
partial
The system's performance may degrade with languages not included in its training scope or with assets disclosed in less accessible sources.
Directly stated in analysis section as a caveat
partial
Yet today's Deep Research AI agents still lag human experts in achieving high-recall discovery across heterogeneous, multilingual sources without hallucinations.
Directly stated in abstract as a problem statement
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
Use an AI coding agent to implement this research.
Lightweight coding agent in your terminal.
Agentic coding tool for terminal workflows.
AI agent mindset installer and workflow scaffolder.
AI-first code editor built on VS Code.
Free, open-source editor by Microsoft.
6mo ROI
2-4x
3yr ROI
10-20x
Lightweight AI tools can reach profitability quickly. At $500/mo average contract, 20 customers = $10K MRR by 6mo, 200+ by 3yr.
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/hunt-globally-deep-research-ai-agents-for-drug-asset-scouting-in-investing-business-development-and-search-evaluation
Paper ref
hunt-globally-deep-research-ai-agents-for-drug-asset-scouting-in-investing-business-development-and-search-evaluation
arXiv id
2602.15019
Generated at
2026-03-19T21:31:49.672Z
Evidence freshness
stale
Last verification
2026-03-19T21:31:49.672Z
Sources
0
References
0
Coverage
33%
Lineage hash
3945ef4c0a7bd964603e8ec3ba2e49fc70ed9b473c0315c3db81bb3446b6baaf
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
No founder, registry, pilot, or production-adoption signature is attached to this receipt.
Verification
not_verified
Verification is blocked until an external signature is provided.
Verification pending / evidence receipt incomplete
repo_url
references