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/differentially-private-preference-data-synthesis-for-large-language-model-alignment
Subject: Differentially Private Preference Data Synthesis for Large Language Model Alignment
Verdict
Build Now
Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.
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": 26, "author": "Fengyu Gao; Jing Yang", "title": "Differentially Private Preference Data Synthesis for Large Language Model Alignment"
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": 26, "author": "Fengyu Gao; Jing Yang", "title": "Differentially Private Preference Data Synthesis for Large Language Model Alignment", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 26, "author": "Fengyu Gao; Jing Yang", "title": "Differentially Private Preference Data Synthesis for Large Language Model Alignment", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 26, "author": "Fengyu Gao; Jing Yang", "title": "Differentially Private Preference Data Synthesis for Large Language Model Alignment", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/differentially-private-preference-data-synthesis-for-large-language-model-alignment
Paper ref
differentially-private-preference-data-synthesis-for-large-language-model-alignment
arXiv id
2605.30808
Generated at
2026-06-01T20:23:51.782Z
Evidence freshness
stale
Last verification
2026-06-01T20:23:51.782Z
Sources
4
References
0
Coverage
67%
Lineage hash
e771703fa8870f343457f0d967081b41874ab37d855cf352fb9d508b1e30ab73
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.
references
proof_status