Buildability / Receipt
Fairness Audits of Institutional Risk Models in Deployed ML Pipelines
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
Not build-ready: Fairness Audits of Institutional Risk Models in Deployed ML Pipelines
/buildability/fairness-audits-of-institutional-risk-models-in-deployed-ml-pipelines
Subject: Fairness Audits of Institutional Risk Models in Deployed ML Pipelines
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.
Compute envelope
Data
{"file name": "input.pdf", "number of pages": 8, "author": "Kelly McConvey; Dipto Das; Maya Ghai; Angelina Zhai; Rosa Lee; Shion Guha"
Compute
{"file name": "input.pdf", "number of pages": 8, "author": "Kelly McConvey; Dipto Das; Maya Ghai; Angelina Zhai; Rosa Lee; Shion Guha", "title": "Fairness Audits of Institutional Risk Models in Deployed ML Pipelines", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 8, "author": "Kelly McConvey; Dipto Das; Maya Ghai; Angelina Zhai; Rosa Lee; Shion Guha", "title": "Fairness Audits of Institutional Risk Models in Deployed ML Pipelines", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 8, "author": "Kelly McConvey; Dipto Das; Maya Ghai; Angelina Zhai; Rosa Lee; Shion Guha", "title": "Fairness Audits of Institutional Risk Models in Deployed ML Pipelines", "creation date": null, "modification date": null, "kids": []}
Evidence ids
Receipt path
/buildability/fairness-audits-of-institutional-risk-models-in-deployed-ml-pipelines
Paper ref
fairness-audits-of-institutional-risk-models-in-deployed-ml-pipelines
arXiv id
2604.19468
Freshness
Generated at
2026-04-22T02:15:38.543Z
Evidence freshness
fresh
Last verification
2026-04-22T02:15:38.543Z
Sources
3
References
0
Coverage
50%
Hash state
Lineage hash
e2b31c3d082522545708e15d0a71cb4a11e9d0430699861ac71102e2ee4ab348
Canonical opportunity-kernel lineage hash.
Signature state
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.
Blockers
- Missing: repo_url
- Missing: references
- Missing: proof_status
- Unknown: proof verification has not been recorded yet
Canonical opportunity-kernel evidence is available for this receipt window.
repo_url
references
Truth Boundary
External gate remains unresolved for live deployment claims.
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.