Evidence Receipt. Related Resources.
Evidence Receipt. Related Resources.
Compared to this week’s papers
Verification pending
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Page Freshness
Canonical route: /signal-canvas/da-mamba-learning-domain-aware-state-space-model-for-global-local-alignment-in-domain-adaptive-object-detection
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 da-mamba-learning-domain-aware-state-space-model-for-global-local-alignment-in-domain-adaptive-object-detection | Route /signal-canvas/da-mamba-learning-domain-aware-state-space-model-for-global-local-alignment-in-domain-adaptive-object-detection
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/da-mamba-learning-domain-aware-state-space-model-for-global-local-alignment-in-domain-adaptive-object-detectionMCP example
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"arguments": {
"mode": "paper",
"paper_ref": "da-mamba-learning-domain-aware-state-space-model-for-global-local-alignment-in-domain-adaptive-object-detection",
"query_text": "Summarize DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection"
}
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"query": "DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection",
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"route": "/signal-canvas/da-mamba-learning-domain-aware-state-space-model-for-global-local-alignment-in-domain-adaptive-object-detection",
"paper_ref": "da-mamba-learning-domain-aware-state-space-model-for-global-local-alignment-in-domain-adaptive-object-detection",
"topic_slug": null,
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}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection
PDF: https://arxiv.org/pdf/2603.18757v1
Source count: Pending verification
Coverage: 17%
Last proof check: 2026-04-02T02:30:40.136Z
Signal Canvas receipt window
/buildability/da-mamba-learning-domain-aware-state-space-model-for-global-local-alignment-in-domain-adaptive-object-detection
Subject: DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection
Verdict
Watch
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.
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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.
Structured compute envelope
Insufficient data
No data, compute, hardware, memory, latency, dependency, or serving requirement receipt is attached.
Receipt path
/buildability/da-mamba-learning-domain-aware-state-space-model-for-global-local-alignment-in-domain-adaptive-object-detection
Paper ref
da-mamba-learning-domain-aware-state-space-model-for-global-local-alignment-in-domain-adaptive-object-detection
arXiv id
2603.18757
Generated at
2026-04-02T02:30:40.136Z
Evidence freshness
stale
Last verification
2026-04-02T02:30:40.136Z
Sources
0
References
0
Coverage
17%
Lineage hash
bedc0d91cc275640cc2a84200180ad091a33fc1ff53aaccb96ecca3bc7a411c5
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.
Verification pending / evidence receipt incomplete
repo_url
references