Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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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/dax-learning-general-pathology-representations-across-scales
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
Canonical ID dax-learning-general-pathology-representations-across-scales | Route /signal-canvas/dax-learning-general-pathology-representations-across-scales
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/dax-learning-general-pathology-representations-across-scalesMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "dax-learning-general-pathology-representations-across-scales",
"query_text": "Summarize DaX: Learning General Pathology Representations Across Scales"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "DaX: Learning General Pathology Representations Across Scales",
"normalized_query": "2606.06983",
"route": "/signal-canvas/dax-learning-general-pathology-representations-across-scales",
"paper_ref": "dax-learning-general-pathology-representations-across-scales",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Claims: 1
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: DaX: Learning General Pathology Representations Across Scales
PDF: https://arxiv.org/pdf/2606.06983v1
Source count: 3
Coverage: 50%
Last proof check: 2026-06-08T17:16:34.579Z
Signal Canvas receipt window
/buildability/dax-learning-general-pathology-representations-across-scales
Subject: DaX: Learning General Pathology Representations Across Scales
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": 24, "author": "Bokai Zhao; Yiyang Zhang; Long Bai; Tai Ma; Hanqing Chao; Minfeng Xu", "title": "DaX: Learning General Pathology Representations Across Scales"
Implication not extracted yet.
partial
Related resources will appear here when this paper maps cleanly to topic, benchmark, or dataset surfaces.
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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/dax-learning-general-pathology-representations-across-scales
Paper ref
dax-learning-general-pathology-representations-across-scales
arXiv id
2606.06983
Generated at
2026-06-08T17:16:34.579Z
Evidence freshness
fresh
Last verification
2026-06-08T17:16:34.579Z
Sources
3
References
0
Coverage
50%
Lineage hash
554dcd08b13a3a7043350c662f89a7643641bdb0938c297c191ce59e14118a7e
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