SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification
Compared to this week’s papers
Verification pending
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Page Freshness
Signal Canvas proof surface
Canonical route: /signal-canvas/ssmamba-a-self-supervised-hybrid-state-space-model-for-pathological-image-classification
- Proof freshness
- fresh
- Proof status
- unverified
- Display score
- 7/10
- Last proof check
- 2026-04-20
- Score updated
- 2026-04-20
- Score fresh until
- 2026-05-20
- References
- 0
- Source count
- 3
- Coverage
- 50%
Page-specific freshness sourced from this paper's evidence receipt and score bundle.
Agent Handoff
SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification
Canonical ID ssmamba-a-self-supervised-hybrid-state-space-model-for-pathological-image-classification | Route /signal-canvas/ssmamba-a-self-supervised-hybrid-state-space-model-for-pathological-image-classification
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/ssmamba-a-self-supervised-hybrid-state-space-model-for-pathological-image-classificationMCP example
{
"tool": "search_signal_canvas",
"arguments": {
"mode": "paper",
"paper_ref": "ssmamba-a-self-supervised-hybrid-state-space-model-for-pathological-image-classification",
"query_text": "Summarize SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification",
"normalized_query": "2604.15711",
"route": "/signal-canvas/ssmamba-a-self-supervised-hybrid-state-space-model-for-pathological-image-classification",
"paper_ref": "ssmamba-a-self-supervised-hybrid-state-space-model-for-pathological-image-classification",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Evidence Receipt
Route status: buildingClaims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification
PDF: https://arxiv.org/pdf/2604.15711v1
Source count: 3
Coverage: 50%
Last proof check: 2026-04-20T20:23:58.171Z
Signal Canvas receipt window
Watch and verify: SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification
/buildability/ssmamba-a-self-supervised-hybrid-state-space-model-for-pathological-image-classification
Subject: SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
Time to first demo
Insufficient data
No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.
Compute envelope
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Evidence ids
Receipt path
/buildability/ssmamba-a-self-supervised-hybrid-state-space-model-for-pathological-image-classification
Paper ref
ssmamba-a-self-supervised-hybrid-state-space-model-for-pathological-image-classification
arXiv id
2604.15711
Freshness
Generated at
2026-04-20T20:23:58.171Z
Evidence freshness
fresh
Last verification
2026-04-20T20:23:58.171Z
Sources
3
References
0
Coverage
50%
Hash state
Lineage hash
05f11c2038aadfef7e2a84caeef4cfafb5e28191022423f793a4bdda4ec7cd02
Canonical opportunity-kernel lineage hash.
Signature state
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.
Blockers
- Missing: repo_url
- Missing: references
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
Pending verification refs / 3 sources / Verification pending
repo_url
references
Paper Conversation
Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.
SSMamba: A Self-Supervised Hybrid State Space Model for Pathological Image Classification
Canonical Paper Receipt
Last verification: 2026-04-20T20:23:58.171ZFreshness: fresh
Proof: unverified
Repo: missing
References: 0
Sources: 3
Coverage: 50%
- - repo_url
- - references
- - proof_status
- - proof verification has not been recorded yet
Preparing verified analysis
Dimensions overall score 7.0
GitHub Code Pulse
No public code linked for this paper yet.
Claim map
No public claim map is available for this paper yet.
Startup potential card
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