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/small-models-strong-priors-architectural-inductive-bias-for-parameter-efficient-neural-pde-solvers
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 small-models-strong-priors-architectural-inductive-bias-for-parameter-efficient-neural-pde-solvers | Route /signal-canvas/small-models-strong-priors-architectural-inductive-bias-for-parameter-efficient-neural-pde-solvers
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/small-models-strong-priors-architectural-inductive-bias-for-parameter-efficient-neural-pde-solversMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "small-models-strong-priors-architectural-inductive-bias-for-parameter-efficient-neural-pde-solvers",
"query_text": "Summarize Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers",
"normalized_query": "2605.25949",
"route": "/signal-canvas/small-models-strong-priors-architectural-inductive-bias-for-parameter-efficient-neural-pde-solvers",
"paper_ref": "small-models-strong-priors-architectural-inductive-bias-for-parameter-efficient-neural-pde-solvers",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers
PDF: https://arxiv.org/pdf/2605.25949v1
Source count: 3
Coverage: 50%
Last proof check: 2026-05-27T00:04:27.084Z
Signal Canvas receipt window
/buildability/small-models-strong-priors-architectural-inductive-bias-for-parameter-efficient-neural-pde-solvers
Subject: Small Models, Strong Priors: Architectural Inductive Bias for Parameter-Efficient Neural PDE Solvers
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
Preparing verified analysis
Dimensions overall score 0.0
No public code linked for this paper yet.
{"file name": "input.pdf", "number of pages": 31, "author": "Shyam Sankaran; Hanwen Wang; Paris Perdikaris", "title": "Small Models
Implication not extracted yet.
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.
Estimated $9K - $13K 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.
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/small-models-strong-priors-architectural-inductive-bias-for-parameter-efficient-neural-pde-solvers
Paper ref
small-models-strong-priors-architectural-inductive-bias-for-parameter-efficient-neural-pde-solvers
arXiv id
2605.25949
Generated at
2026-05-27T00:04:27.084Z
Evidence freshness
stale
Last verification
2026-05-27T00:04:27.084Z
Sources
3
References
0
Coverage
50%
Lineage hash
7aa644ec665b99e93d1e6a38ebdca87216f33b3beaa321f5d9598a739e9e2a93
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.
Pending verification refs / 3 sources / Verification pending
repo_url
references