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/multi-objective-learning-for-diffusion-models-a-statistical-theory-under-semi-supervised-learning
Subject: Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning
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": 27, "author": "Ziheng Cheng; Yixiao Huang; Hanlin Zhu; Haoran Geng; Somayeh Sojoudi; Jitendra Malik; Pieter Abbeel; Xin Guo"
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": 27, "author": "Ziheng Cheng; Yixiao Huang; Hanlin Zhu; Haoran Geng; Somayeh Sojoudi; Jitendra Malik; Pieter Abbeel; Xin Guo", "title": "Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning", "creation date": null
Inference
{"file name": "input.pdf", "number of pages": 27, "author": "Ziheng Cheng; Yixiao Huang; Hanlin Zhu; Haoran Geng; Somayeh Sojoudi; Jitendra Malik; Pieter Abbeel; Xin Guo", "title": "Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning", "creation date": null
Hardware
{"file name": "input.pdf", "number of pages": 27, "author": "Ziheng Cheng; Yixiao Huang; Hanlin Zhu; Haoran Geng; Somayeh Sojoudi; Jitendra Malik; Pieter Abbeel; Xin Guo", "title": "Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning", "creation date": null
Receipt path
/buildability/multi-objective-learning-for-diffusion-models-a-statistical-theory-under-semi-supervised-learning
Paper ref
multi-objective-learning-for-diffusion-models-a-statistical-theory-under-semi-supervised-learning
arXiv id
2605.25210
Generated at
2026-05-27T01:09:05.063Z
Evidence freshness
stale
Last verification
2026-05-27T01:09:05.063Z
Sources
3
References
0
Coverage
50%
Lineage hash
5122e305396478d5c7ba289355de1ac6b464bc7438887b5c68d6b2a03e4ded28
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