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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

Ignoreblocked

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

Missing proof, requirement, signature, approval, adoption, or telemetry fields are blockers and must not be inferred.

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.