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/bloclaw-an-omniscient-multi-modal-agentic-workspace-for-next-generation-scientific-discovery
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 bloclaw-an-omniscient-multi-modal-agentic-workspace-for-next-generation-scientific-discovery | Route /signal-canvas/bloclaw-an-omniscient-multi-modal-agentic-workspace-for-next-generation-scientific-discovery
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/bloclaw-an-omniscient-multi-modal-agentic-workspace-for-next-generation-scientific-discoveryMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "bloclaw-an-omniscient-multi-modal-agentic-workspace-for-next-generation-scientific-discovery",
"query_text": "Summarize BloClaw: An Omniscient, Multi-Modal Agentic Workspace for Next-Generation Scientific Discovery"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "BloClaw: An Omniscient, Multi-Modal Agentic Workspace for Next-Generation Scientific Discovery",
"normalized_query": "2604.00550",
"route": "/signal-canvas/bloclaw-an-omniscient-multi-modal-agentic-workspace-for-next-generation-scientific-discovery",
"paper_ref": "bloclaw-an-omniscient-multi-modal-agentic-workspace-for-next-generation-scientific-discovery",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 0
References: 24
Proof: Verification pending
Freshness state: computing
Source paper: BloClaw: An Omniscient, Multi-Modal Agentic Workspace for Next-Generation Scientific Discovery
PDF: https://arxiv.org/pdf/2604.00550v1
Repository: https://github.com/qinheming/BloClaw
Source count: 4
Coverage: 67%
Last proof check: 2026-04-03T20:30:39.483Z
Signal Canvas receipt window
/buildability/bloclaw-an-omniscient-multi-modal-agentic-workspace-for-next-generation-scientific-discovery
Subject: BloClaw: An Omniscient, Multi-Modal Agentic Workspace for Next-Generation Scientific Discovery
Verdict
Build Now
Preparing verified analysis
Dimensions overall score 7.0
No public code linked for this paper yet.
CLAIM MAP
No public claim map is available for this paper yet.
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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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/bloclaw-an-omniscient-multi-modal-agentic-workspace-for-next-generation-scientific-discovery
Paper ref
bloclaw-an-omniscient-multi-modal-agentic-workspace-for-next-generation-scientific-discovery
arXiv id
2604.00550
Generated at
2026-04-03T20:30:39.483Z
Evidence freshness
stale
Last verification
2026-04-03T20:30:39.483Z
Sources
4
References
24
Coverage
67%
Lineage hash
6c5d988d9adca70d4ba7380d87a4c0d5186d541f1fad779f77257bd8ca3d486a
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.
24 refs / 4 sources / Verification pending
distribution_readiness_scores
paper_extraction_scorecards