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/idscd-identifying-training-datasets-through-semantic-correlation-descriptors
Subject: idSCD: Identifying Training Datasets through Semantic Correlation Descriptors
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.
Data
{"file name": "input.pdf", "number of pages": 16, "author": "Andrada Gobeaja; Ionut Hodoroaga; Elena Burceanu; Marius Leordeanu"
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": "Andrada Gobeaja; Ionut Hodoroaga; Elena Burceanu; Marius Leordeanu", "title": "idSCD: Identifying Training Datasets through Semantic Correlation Descriptors", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 16, "author": "Andrada Gobeaja; Ionut Hodoroaga; Elena Burceanu; Marius Leordeanu", "title": "idSCD: Identifying Training Datasets through Semantic Correlation Descriptors", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 16, "author": "Andrada Gobeaja; Ionut Hodoroaga; Elena Burceanu; Marius Leordeanu", "title": "idSCD: Identifying Training Datasets through Semantic Correlation Descriptors", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/idscd-identifying-training-datasets-through-semantic-correlation-descriptors
Paper ref
idscd-identifying-training-datasets-through-semantic-correlation-descriptors
arXiv id
2605.30462
Generated at
2026-06-01T20:25:19.441Z
Evidence freshness
stale
Last verification
2026-06-01T20:25:19.441Z
Sources
3
References
0
Coverage
50%
Lineage hash
fae930f19734487a75741df9038e8ba0fade8b100557ed0334158793fa1dc52f
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.
repo_url
references