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/integrating-anomaly-detection-into-agentic-ai-for-proactive-risk-management-in-human-activity
Subject: Integrating Anomaly Detection into Agentic AI for Proactive Risk Management in Human Activity
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": 6, "author": "Farbod Zorriassatine; Ahmad Lotfi"
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": 6, "author": "Farbod Zorriassatine; Ahmad Lotfi", "title": "Integrating Anomaly Detection into Agentic AI for Proactive Risk Management in Human Activity", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 6, "author": "Farbod Zorriassatine; Ahmad Lotfi", "title": "Integrating Anomaly Detection into Agentic AI for Proactive Risk Management in Human Activity", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 6, "author": "Farbod Zorriassatine; Ahmad Lotfi", "title": "Integrating Anomaly Detection into Agentic AI for Proactive Risk Management in Human Activity", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/integrating-anomaly-detection-into-agentic-ai-for-proactive-risk-management-in-human-activity
Paper ref
integrating-anomaly-detection-into-agentic-ai-for-proactive-risk-management-in-human-activity
arXiv id
2604.19538
Generated at
2026-04-22T03:23:07.837Z
Evidence freshness
stale
Last verification
2026-04-22T03:23:07.837Z
Sources
3
References
0
Coverage
50%
Lineage hash
39fe72703bd87c87ea8d81d2f57e53753b7ae72f79a870c4e9f934ddaa20a6f1
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