TemporalDoRA: Temporal PEFT for Robust Surgical Video Question Answering
Compared to this week’s papers
Evidence fresh
Evidence Receipt
Freshness: 2026-04-02T02:30:40.136932+00:00Claims: 0
References: 0
Proof: unverified
Freshness: fresh
Source paper: TemporalDoRA: Temporal PEFT for Robust Surgical Video Question Answering
PDF: https://arxiv.org/pdf/2603.09696v1
Source count: 0
Coverage: 17%
Signal Canvas
Canonical paper trust state plus paper-specific synthesis and commercialization judgment.
Paper mode stays anchored to the canonical paper kernel before it broadens into citations and next actions.
Paper mode: TemporalDoRA: Temporal PEFT for Robust Surgical Video Question Answering
Paper mode stays anchored to the canonical paper kernel before it broadens into citations and next actions.
Shared `source_context` now powers Build Loop, Talent, workspace saves, and browser deep links.
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
TemporalDoRA: Temporal PEFT for Robust Surgical Video Question Answering
Canonical paper receipt
distribution readiness has not been computed yet
repo_url
Expand full evidence receipt
Freshness: fresh
Proof: unverified
Repo: missing
Coverage: 17%
References: 0
Sources: 0
Lineage: not recorded
Last verification: Unknown
Canonical Paper Receipt
distribution readiness has not been computed yet
repo_url
Expand full evidence receipt
Freshness: fresh
Proof: unverified
Repo: missing
Coverage: 17%
References: 0
Sources: 0
Lineage: not recorded
Last verification: Unknown
Starting…
Dimensions overall score 8.0
GitHub Code Pulse
No public code linked for this paper yet.
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
MVP Investment
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.
Talent Scout
Chiara Lena
Politecnico di Milano, Italy
Cesare Hassan
IRCCS Humanitas Research Hospital, Italy
Danail Stoyanov
University College London, UK
Find Similar Experts
Healthcare experts on LinkedIn & GitHub