ScienceToStartup
Product
Proof
DevelopersTrends
Resources
Company

113 Cherry St #92768

Seattle, WA 98104-2205

Backed by Research Labs

Product, Proof, and developer surfaces share one public navigation contract.

Product

  • Daily Dashboard
  • Signal Canvas
  • Build Loop
  • Evidence
  • Workspace
  • Terminal
  • Talent Layer
  • GitHub Velocity

Proof

  • Foresight
  • Proof Layer
  • Proof Homepage
  • Freshness Hub
  • Example Paper Page
  • Topic Proof Layer
  • Benchmark Scorecard
  • Public Dataset

Developers

  • Overview
  • Start Here
  • REST API
  • MCP Server
  • SDKs
  • Examples
  • Keys
  • Docs

Trends

  • Live Desk
  • Archive
  • Entities
  • Narratives
  • Topics
  • Methodology

Resources

  • All Resources
  • Benchmark
  • Dataset
  • Database
  • Glossary
  • Directory
  • Templates
  • Topics

Company

  • Company Hub
  • About
  • Articles
  • Changelog
  • Careers
  • Enterprise
  • Scout
  • RFPs
  • FAQ
  • Legal
  • Privacy
  • Contact
ScienceToStartup

Copyright © 2026 ScienceToStartup. All rights reserved.

Privacy|Legal
  1. Home
  2. Signal Canvas
  3. OPBench: A Graph Benchmark to Combat the Opioid Crisis
← Back to Paper

OPBench: A Graph Benchmark to Combat the Opioid Crisis

Stale19d ago
Export BriefOpen in Build LoopConnect with Author
View PDF ↗
Viability
0.0/10

Compared to this week’s papers

Verification pending

Use This Via API or MCP

Use Signal Canvas as the narrative proof surface

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.

Signal Canvas APIPaper Proof PageOpen Build LoopLaunch Pack Example

Freshness

Signal Canvas proof surface

Canonical route: /signal-canvas/opbench-a-graph-benchmark-to-combat-the-opioid-crisis

building
Observed
2026-04-02
Fresh until
2026-04-16
Coverage
17%
Source count
69
Stale after
2026-04-16

Proof data is outside the preferred freshness window.

Proof Quality

One canonical proof ledger now drives the badge, counts, indexing, and commercialization gating.

Verification pending
Last verified
2026-04-02
References
69
Sources
69
Coverage
17%

Commercialization rails stay hidden until proof clears: proof_status, coverage.

Search indexing stays off until proof clears: proof_status.

Agent Handoff

OPBench: A Graph Benchmark to Combat the Opioid Crisis

Canonical ID opbench-a-graph-benchmark-to-combat-the-opioid-crisis | Route /signal-canvas/opbench-a-graph-benchmark-to-combat-the-opioid-crisis

REST example

curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/opbench-a-graph-benchmark-to-combat-the-opioid-crisis

MCP example

{
  "tool": "search_signal_canvas",
  "arguments": {
    "mode": "paper",
    "paper_ref": "opbench-a-graph-benchmark-to-combat-the-opioid-crisis",
    "query_text": "Summarize OPBench: A Graph Benchmark to Combat the Opioid Crisis"
  }
}

source_context

{
  "surface": "signal_canvas",
  "mode": "paper",
  "query": "OPBench: A Graph Benchmark to Combat the Opioid Crisis",
  "normalized_query": "2602.14602",
  "route": "/signal-canvas/opbench-a-graph-benchmark-to-combat-the-opioid-crisis",
  "paper_ref": "opbench-a-graph-benchmark-to-combat-the-opioid-crisis",
  "topic_slug": null,
  "benchmark_ref": null,
  "dataset_ref": null
}

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 69

Proof: Verification pending

Freshness: computing

Source paper: OPBench: A Graph Benchmark to Combat the Opioid Crisis

PDF: https://arxiv.org/pdf/2602.14602v1

Source count: 69

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

OPBench: A Graph Benchmark to Combat the Opioid Crisis

Overall score: 7/10
Lineage: 39e4cb437f04…
Cmd/Ctrl+K
Search the latest paper corpus with startup-focused AI synthesis.

Canonical Paper Receipt

Last verification: 2026-04-02T02:30:40.136Z

Freshness: fresh

Proof: unverified

Repo: missing

References: 0

Sources: 0

Coverage: 17%

Missingness
  • - repo_url
  • - references
  • - proof_status
  • - distribution_readiness_scores
  • - paper_extraction_scorecards
Unknowns
  • - distribution readiness has not been computed yet
  • - proof verification has not been recorded yet

Mode Notes

  • Corpus mode searches the research corpus broadly.
  • Paper mode pins trust state to the canonical paper kernel.
  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

Preparing verified analysis

Dimensions overall score 7.0

GitHub Code Pulse

No public code linked for this paper yet.

Claim map

No public claim map is available for this paper yet.

Author intelligence and commercialization panels stay hidden until the proof receipt is verified, cites at least 3 references, includes at least 2 sources, and clears 50% coverage. The paper narrative and citation surfaces remain public while verification is pending.

Keep exploring

Builds On This
OmniTabBench: Mapping the Empirical Frontiers of GBDTs, Neural Networks, and Foundation Models for Tabular Data at Scale
Score 5.0down
Builds On This
The Validity Gap in Health AI Evaluation: A Cross-Sectional Analysis of Benchmark Composition
Score 4.0down
Prior Work
Large language models can disambiguate opioid slang on social media
Score 7.0stable
Prior Work
Open Biomedical Knowledge Graphs at Scale: Construction, Federation, and AI Agent Access with Samyama Graph Database
Score 7.0stable
Prior Work
Toward a universal foundation model for graph-structured data
Score 7.0stable
Prior Work
Pharmacology Knowledge Graphs: Do We Need Chemical Structure for Drug Repurposing?
Score 7.0stable
Higher Viability
IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem
Score 8.0up
Higher Viability
Hunt Globally: Deep Research AI Agents for Drug Asset Scouting in Investing, Business Development, and Search & Evaluation
Score 8.0up

Startup potential card

Startup potential card preview
Share on XLinkedIn

Related Resources

Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.

BUILDER'S SANDBOX

Build This Paper

Use an AI coding agent to implement this research.

OpenAI Codex
OpenAI CodexAI Agent

Lightweight coding agent in your terminal.

Claude Code
Claude CodeAI Agent

Agentic coding tool for terminal workflows.

AntiGravity IDE
AntiGravity IDEScaffolding

AI agent mindset installer and workflow scaffolder.

Cursor
CursorIDE

AI-first code editor built on VS Code.

VS Code
VS CodeIDE

Free, open-source editor by Microsoft.

Recommended Stack

PyTorchML Framework
FastAPIBackend
TensorFlowML Framework
JAXML Framework
KerasML Framework

Startup Essentials

Render

Deploy Backend

Railway

Full-Stack Deploy

Supabase

Backend & Auth

Vercel

Deploy Frontend

Firebase

Google Backend

Hugging Face Hub

ML Model Hub

Banana.dev

GPU Inference

Antigravity

AI Agent IDE

Estimated $10K - $14K over 6-10 weeks.

MVP Investment

$10K - $14K
6-10 weeks
Engineering
$8,000
GPU Compute
$800
SaaS Stack
$800
Domain & Legal
$500

6mo ROI

0.5-1x

3yr ROI

6-15x

GPU-heavy products have higher costs but premium pricing. Expect break-even by 12mo, then 40%+ margins at scale.

See exactly what it costs to build this -- with 3 comparable funded startups.

7-day free trial. Cancel anytime.

Talent Scout

Find Builders

Graph experts on LinkedIn & GitHub

Discover the researchers behind this paper and find similar experts.

7-day free trial. Cancel anytime.