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/mitigating-objectness-bias-and-region-to-text-misalignment-for-open-vocabulary-panoptic-segmentation
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 mitigating-objectness-bias-and-region-to-text-misalignment-for-open-vocabulary-panoptic-segmentation | Route /signal-canvas/mitigating-objectness-bias-and-region-to-text-misalignment-for-open-vocabulary-panoptic-segmentation
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/signal-canvas/mitigating-objectness-bias-and-region-to-text-misalignment-for-open-vocabulary-panoptic-segmentationMCP example
{
"tool": "search_signal_canvas",
"arguments": {
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"paper_ref": "mitigating-objectness-bias-and-region-to-text-misalignment-for-open-vocabulary-panoptic-segmentation",
"query_text": "Summarize Mitigating Objectness Bias and Region-to-Text Misalignment for Open-Vocabulary Panoptic Segmentation"
}
}source_context
{
"surface": "signal_canvas",
"mode": "paper",
"query": "Mitigating Objectness Bias and Region-to-Text Misalignment for Open-Vocabulary Panoptic Segmentation",
"normalized_query": "2603.21386",
"route": "/signal-canvas/mitigating-objectness-bias-and-region-to-text-misalignment-for-open-vocabulary-panoptic-segmentation",
"paper_ref": "mitigating-objectness-bias-and-region-to-text-misalignment-for-open-vocabulary-panoptic-segmentation",
"topic_slug": null,
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}Claims: 0
References: Pending verification
Proof: Verification pending
Freshness state: computing
Source paper: Mitigating Objectness Bias and Region-to-Text Misalignment for Open-Vocabulary Panoptic Segmentation
PDF: https://arxiv.org/pdf/2603.21386v1
Repository: https://github.com/nickormushev/OVRCOAT
Source count: Pending verification
Coverage: 50%
Last proof check: 2026-03-24T21:26:56.405Z
Signal Canvas receipt window
/buildability/mitigating-objectness-bias-and-region-to-text-misalignment-for-open-vocabulary-panoptic-segmentation
Subject: Mitigating Objectness Bias and Region-to-Text Misalignment for Open-Vocabulary Panoptic Segmentation
Verdict
Preparing verified analysis
Dimensions overall score 7.0
CLAIM MAP
No public claim map is available for this paper yet.
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Build Now
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/mitigating-objectness-bias-and-region-to-text-misalignment-for-open-vocabulary-panoptic-segmentation
Paper ref
mitigating-objectness-bias-and-region-to-text-misalignment-for-open-vocabulary-panoptic-segmentation
arXiv id
2603.21386
Generated at
2026-03-24T21:26:56.405Z
Evidence freshness
stale
Last verification
2026-03-24T21:26:56.405Z
Sources
0
References
0
Coverage
50%
Lineage hash
c124858e50fef301418b2ef7f3c11ff4b55d3f28ca211044b829a09486fb2f9d
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
references
distribution_readiness_scores