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/knowledgegain-evaluating-and-optimizing-science-news-generation-for-reader-learning
Subject: KnowledgeGain: Evaluating and Optimizing Science News Generation for Reader Learning
Verdict
Watch
Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.
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": 21, "author": "Dominik So\u00f3s; Meng Jiang; Jian Wu"
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": 21, "author": "Dominik So\u00f3s; Meng Jiang; Jian Wu", "title": "KnowledgeGain: Evaluating and Optimizing Science News Generation for Reader Learning", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 21, "author": "Dominik So\u00f3s; Meng Jiang; Jian Wu", "title": "KnowledgeGain: Evaluating and Optimizing Science News Generation for Reader Learning", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 21, "author": "Dominik So\u00f3s; Meng Jiang; Jian Wu", "title": "KnowledgeGain: Evaluating and Optimizing Science News Generation for Reader Learning", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/knowledgegain-evaluating-and-optimizing-science-news-generation-for-reader-learning
Paper ref
knowledgegain-evaluating-and-optimizing-science-news-generation-for-reader-learning
arXiv id
2605.31099
Generated at
2026-06-01T20:26:03.276Z
Evidence freshness
stale
Last verification
2026-06-01T20:26:03.276Z
Sources
3
References
0
Coverage
50%
Lineage hash
1ef43aa492b3d907ed150bea2ffa617663dac1ff5dd89636c44bd0900a1a498b
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