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/learning-to-spend-model-predictive-control-for-budgeting-under-non-stationary-returns
Subject: Learning to Spend: Model Predictive Control for Budgeting under Non-Stationary Returns
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": 8, "author": "Nilavra Pathak; Smriti Shyamal; Prasant Mhasker; Christopher Swartz"
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": 8, "author": "Nilavra Pathak; Smriti Shyamal; Prasant Mhasker; Christopher Swartz", "title": "Learning to Spend: Model Predictive Control for Budgeting under Non-Stationary Returns", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 8, "author": "Nilavra Pathak; Smriti Shyamal; Prasant Mhasker; Christopher Swartz", "title": "Learning to Spend: Model Predictive Control for Budgeting under Non-Stationary Returns", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 8, "author": "Nilavra Pathak; Smriti Shyamal; Prasant Mhasker; Christopher Swartz", "title": "Learning to Spend: Model Predictive Control for Budgeting under Non-Stationary Returns", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/learning-to-spend-model-predictive-control-for-budgeting-under-non-stationary-returns
Paper ref
learning-to-spend-model-predictive-control-for-budgeting-under-non-stationary-returns
arXiv id
2604.27186
Generated at
2026-05-01T20:34:37.275Z
Evidence freshness
stale
Last verification
2026-05-01T20:34:37.275Z
Sources
3
References
0
Coverage
50%
Lineage hash
bcbc94feca475169550c574319828d327748ba18b5d5216b8bcfb8d422cbdca8
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