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/chain-of-look-spatial-reasoning-for-dense-surgical-instrument-counting
This page is showing the last landed evidence receipt and score bundle because the latest proof data is outside the freshness window.
Agent Handoff
Canonical ID chain-of-look-spatial-reasoning-for-dense-surgical-instrument-counting | Route /signal-canvas/chain-of-look-spatial-reasoning-for-dense-surgical-instrument-counting
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/chain-of-look-spatial-reasoning-for-dense-surgical-instrument-countingMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "chain-of-look-spatial-reasoning-for-dense-surgical-instrument-counting",
"query_text": "Summarize Chain-of-Look Spatial Reasoning for Dense Surgical Instrument Counting"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Chain-of-Look Spatial Reasoning for Dense Surgical Instrument Counting",
"normalized_query": "2602.11024",
"route": "/signal-canvas/chain-of-look-spatial-reasoning-for-dense-surgical-instrument-counting",
"paper_ref": "chain-of-look-spatial-reasoning-for-dense-surgical-instrument-counting",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 8
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Chain-of-Look Spatial Reasoning for Dense Surgical Instrument Counting
PDF: https://arxiv.org/pdf/2602.11024v1
Source count: Pending verification
Coverage: 33%
Last proof check: 2026-03-19T21:31:49.672Z
Signal Canvas receipt window
/buildability/chain-of-look-spatial-reasoning-for-dense-surgical-instrument-counting
Subject: Chain-of-Look Spatial Reasoning for Dense Surgical Instrument Counting
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Preparing verified analysis
Dimensions overall score 8.0
No public code linked for this paper yet.
Extensive experiments demonstrate that our method outperforms state-of-the-art approaches for counting (e.g., CountGD, REC)
Directly stated in the abstract with explicit comparison to named methods.
partial
as well as Multimodality Large Language Models (e.g., Qwen, ChatGPT) in the challenging task of dense surgical instrument counting.
Directly stated in the abstract with explicit comparison to named models.
partial
we introduce Chain-of-Look, a novel visual reasoning framework that mimics the sequential human counting process by enforcing a structured visual chain
Directly stated in the abstract and elaborated in the analysis.
partial
we introduce the neighboring loss function, which explicitly models the spatial constraints inherent to densely packed surgical instruments.
Directly stated in the abstract and elaborated in the analysis.
partial
We also present SurgCount-HD, a new dataset comprising 1,464 high-density surgical instrument images.
Explicit numeric fact stated in the abstract.
partial
The method may face challenges with different instrument types not well-represented in the dataset or varying light conditions.
Directly stated in the analysis excerpt under 'caveats'.
partial
This solution automates and improves accuracy over manual methods and potentially replaces less effective automated counting solutions that do not handle dense environments well.
Strongly implied in the disruption and why_it_matters sections of the analysis, supported by the abstract's claim of outperforming other methods.
partial
Accurate counting of surgical instruments in Operating Rooms (OR) is a critical prerequisite for ensuring patient safety during surgery.
Directly stated as the opening premise of the abstract.
partial
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
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.
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/chain-of-look-spatial-reasoning-for-dense-surgical-instrument-counting
Paper ref
chain-of-look-spatial-reasoning-for-dense-surgical-instrument-counting
arXiv id
2602.11024
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
16f668ce0251a41abf7aba6033153f482dd95b69ad37c2d5345359180c802f72
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