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/s2mam-semi-supervised-meta-additive-model-for-robust-estimation-and-variable-selection
Subject: S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
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": 11, "author": "Xuelin Zhang; Hong Chen; Yingjie Wang; Tieliang Gong; Bin Gu"
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": 11, "author": "Xuelin Zhang; Hong Chen; Yingjie Wang; Tieliang Gong; Bin Gu", "title": "S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 11, "author": "Xuelin Zhang; Hong Chen; Yingjie Wang; Tieliang Gong; Bin Gu", "title": "S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 11, "author": "Xuelin Zhang; Hong Chen; Yingjie Wang; Tieliang Gong; Bin Gu", "title": "S2MAM: Semi-supervised Meta Additive Model for Robust Estimation and Variable Selection", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/s2mam-semi-supervised-meta-additive-model-for-robust-estimation-and-variable-selection
Paper ref
s2mam-semi-supervised-meta-additive-model-for-robust-estimation-and-variable-selection
arXiv id
2604.19072
Generated at
2026-04-22T02:16:39.761Z
Evidence freshness
stale
Last verification
2026-04-22T02:16:39.761Z
Sources
3
References
63
Coverage
67%
Lineage hash
da9a971b99efdfe419ce03daac3478ba7f7b155c400aa8d81fbe4ad2de02d3be
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
proof_status