Buildability / Receipt
This public receipt window renders only fields present in the canonical receipt object, deterministic fixture receipt, or canonical evidence receipt. Missing compute, demo, hash, signature, approval, telemetry, and adoption fields stay explicit.
Public buildability page receipt window
/buildability/symtrs-benchmark-multi-task-synthetic-dataset-for-depth-domain-adaptation-and-super-resolution-in-aerial-imagery
Subject: SyMTRS: Benchmark Multi-Task Synthetic Dataset for Depth, Domain Adaptation and Super-Resolution in Aerial Imagery
Verdict
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.
Data
{"file name": "input.pdf", "number of pages": 16, "author": "Safouane El Ghazouali; Nicola Venturi; Michael Rueegsegger; Umberto Michelucci"
Truth Boundary
Buildability surfaces only report computed viability and proof receipts. They do not claim live production usage, pilot outcomes, founder sign-off, public Brier calibration, judge divergence, or external adoption unless explicitly sourced.
Compute
{"file name": "input.pdf", "number of pages": 16, "author": "Safouane El Ghazouali; Nicola Venturi; Michael Rueegsegger; Umberto Michelucci", "title": "SyMTRS: Benchmark Multi-Task Synthetic Dataset for Depth, Domain Adaptation and Super-Resolution in Aerial Imagery", "creation date": null, "modification date": null
Inference
{"file name": "input.pdf", "number of pages": 16, "author": "Safouane El Ghazouali; Nicola Venturi; Michael Rueegsegger; Umberto Michelucci", "title": "SyMTRS: Benchmark Multi-Task Synthetic Dataset for Depth, Domain Adaptation and Super-Resolution in Aerial Imagery", "creation date": null, "modification date": null
Hardware
{"file name": "input.pdf", "number of pages": 16, "author": "Safouane El Ghazouali; Nicola Venturi; Michael Rueegsegger; Umberto Michelucci", "title": "SyMTRS: Benchmark Multi-Task Synthetic Dataset for Depth, Domain Adaptation and Super-Resolution in Aerial Imagery", "creation date": null, "modification date": null
Receipt path
/buildability/symtrs-benchmark-multi-task-synthetic-dataset-for-depth-domain-adaptation-and-super-resolution-in-aerial-imagery
Paper ref
symtrs-benchmark-multi-task-synthetic-dataset-for-depth-domain-adaptation-and-super-resolution-in-aerial-imagery
arXiv id
2604.21801
Generated at
2026-04-24T20:26:45.882Z
Evidence freshness
stale
Last verification
2026-04-24T20:26:45.882Z
Sources
4
References
0
Coverage
67%
Lineage hash
4a00050229723cd76c7a81b8b7e823969a20f66705eedec98be66a0c545af8be
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.
Some score or evidence fields are outside the preferred freshness window.
references
proof_status