Seeing is Believing: Robust Vision-Guided Cross-Modal Prompt Learning under Label Noise
Compared to this week’s papers
Evidence fresh
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.
Evidence Receipt
Freshness: 2026-04-13T20:10:07.560633+00:00Claims: 0
References: 0
Proof: unverified
Freshness: fresh
Source paper: Seeing is Believing: Robust Vision-Guided Cross-Modal Prompt Learning under Label Noise
PDF: https://arxiv.org/pdf/2604.09532v1
Repository: https://github.com/gezbww/Vis_Prompt
Source count: 4
Coverage: 83%
Last proof check: 2026-04-13T20:33:10.568Z
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
Seeing is Believing: Robust Vision-Guided Cross-Modal Prompt Learning under Label Noise
Canonical Paper Receipt
Last verification: 2026-04-13T20:33:10.568ZFreshness: fresh
Proof: unverified
Repo: active
References: 0
Sources: 4
Coverage: 83%
- - references
No unresolved unknowns recorded.
Starting…
Dimensions overall score 6.0
GitHub Code Pulse
Claim map
Claim extraction is still pending for this paper. Check back after the next analysis run.
Competitive landscape
Competitor map is still being generated for this paper. Enable generation or check back soon.
Startup potential card
Related Resources
BUILDER'S SANDBOX
Build This Paper
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.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.