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/delineating-knowledge-boundaries-for-honest-large-vision-language-models
Subject: Delineating Knowledge Boundaries for Honest Large Vision-Language Models
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": 16, "author": "Junru Song; Yimeng Hu; Yijing Chen; Huining Li; Qian Li; Lizhen Cui; Yuntao Du"
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": 16, "author": "Junru Song; Yimeng Hu; Yijing Chen; Huining Li; Qian Li; Lizhen Cui; Yuntao Du", "title": "Delineating Knowledge Boundaries for Honest Large Vision-Language Models", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 16, "author": "Junru Song; Yimeng Hu; Yijing Chen; Huining Li; Qian Li; Lizhen Cui; Yuntao Du", "title": "Delineating Knowledge Boundaries for Honest Large Vision-Language Models", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 16, "author": "Junru Song; Yimeng Hu; Yijing Chen; Huining Li; Qian Li; Lizhen Cui; Yuntao Du", "title": "Delineating Knowledge Boundaries for Honest Large Vision-Language Models", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/delineating-knowledge-boundaries-for-honest-large-vision-language-models
Paper ref
delineating-knowledge-boundaries-for-honest-large-vision-language-models
arXiv id
2604.26419
Generated at
2026-04-30T15:13:17.288Z
Evidence freshness
stale
Last verification
2026-04-30T15:13:17.288Z
Sources
3
References
0
Coverage
50%
Lineage hash
73eba53e8ef51b4f874a9aeb2e2b9a1986c6bced0e7befa105ef429003af0887
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