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/autosci-a-memory-centric-agentic-system-for-the-full-scientific-research-lifecycle
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 autosci-a-memory-centric-agentic-system-for-the-full-scientific-research-lifecycle | Route /signal-canvas/autosci-a-memory-centric-agentic-system-for-the-full-scientific-research-lifecycle
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/autosci-a-memory-centric-agentic-system-for-the-full-scientific-research-lifecycleMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "autosci-a-memory-centric-agentic-system-for-the-full-scientific-research-lifecycle",
"query_text": "Summarize AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle",
"normalized_query": "2605.31468",
"route": "/signal-canvas/autosci-a-memory-centric-agentic-system-for-the-full-scientific-research-lifecycle",
"paper_ref": "autosci-a-memory-centric-agentic-system-for-the-full-scientific-research-lifecycle",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle
PDF: https://arxiv.org/pdf/2605.31468v1
Repository: https://github.com/skyllwt/AutoSci
Source count: 4
Coverage: 67%
Last proof check: 2026-06-01T20:19:54.717Z
Signal Canvas receipt window
/buildability/autosci-a-memory-centric-agentic-system-for-the-full-scientific-research-lifecycle
Subject: AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle
Verdict
Build Now
Preparing verified analysis
Dimensions overall score 8.0
{"file name": "input.pdf", "number of pages": 22, "author": "Weitong Qian; Beicheng Xu; Zhongao Xie; Bowen Fan; Guozheng Tang; Jiale Chen; Xinzhe Wu; Mingtian Yang; Chenyang Di; Jiajun Li; Lingching Tung; Peichao Lai
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.
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.
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
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/autosci-a-memory-centric-agentic-system-for-the-full-scientific-research-lifecycle
Paper ref
autosci-a-memory-centric-agentic-system-for-the-full-scientific-research-lifecycle
arXiv id
2605.31468
Generated at
2026-06-01T20:19:54.717Z
Evidence freshness
stale
Last verification
2026-06-01T20:19:54.717Z
Sources
4
References
0
Coverage
67%
Lineage hash
01887de4879d402e54633038ac0a72c5f7f0f2e9ac8ba479e56857fd0fcf10cb
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 / 4 sources / Verification pending
references
proof_status