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/causalab-a-scalable-environment-for-interactive-causal-discovery-toward-ai-scientists
Subject: CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists
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": 35, "author": "Junlin Yang; Dylan Zhang; Xiangchen Song; Qirun Dai; Xiao Liu; Yuen Chen; Aniket Vashishtha; Jing Shi; Chenhao Tan
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": 35, "author": "Junlin Yang; Dylan Zhang; Xiangchen Song; Qirun Dai; Xiao Liu; Yuen Chen; Aniket Vashishtha; Jing Shi; Chenhao Tan; Hao Peng", "title": "CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists", "creation date": null
Inference
{"file name": "input.pdf", "number of pages": 35, "author": "Junlin Yang; Dylan Zhang; Xiangchen Song; Qirun Dai; Xiao Liu; Yuen Chen; Aniket Vashishtha; Jing Shi; Chenhao Tan; Hao Peng", "title": "CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists", "creation date": null
Hardware
{"file name": "input.pdf", "number of pages": 35, "author": "Junlin Yang; Dylan Zhang; Xiangchen Song; Qirun Dai; Xiao Liu; Yuen Chen; Aniket Vashishtha; Jing Shi; Chenhao Tan; Hao Peng", "title": "CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists", "creation date": null
Receipt path
/buildability/causalab-a-scalable-environment-for-interactive-causal-discovery-toward-ai-scientists
Paper ref
causalab-a-scalable-environment-for-interactive-causal-discovery-toward-ai-scientists
arXiv id
2605.26029
Generated at
2026-05-27T00:03:57.526Z
Evidence freshness
stale
Last verification
2026-05-27T00:03:57.526Z
Sources
3
References
0
Coverage
50%
Lineage hash
e15f6e4e5b0796796a4e8177c5eef5c40c3c33c9934a7b25c02357d5d85f28cb
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