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/probing-collision-grounding-in-vision-language-models-for-safe-human-robot-collaboration
Subject: Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration
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": 31, "author": "Jun Wang; Xiaohao Xu; Xiaonan Huang"
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": 31, "author": "Jun Wang; Xiaohao Xu; Xiaonan Huang", "title": "Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration", "creation date": null, "modification date": null, "kids": []}
Inference
{"file name": "input.pdf", "number of pages": 31, "author": "Jun Wang; Xiaohao Xu; Xiaonan Huang", "title": "Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration", "creation date": null, "modification date": null, "kids": []}
Hardware
{"file name": "input.pdf", "number of pages": 31, "author": "Jun Wang; Xiaohao Xu; Xiaonan Huang", "title": "Probing Collision Grounding in Vision-Language Models for Safe Human-Robot Collaboration", "creation date": null, "modification date": null, "kids": []}
Receipt path
/buildability/probing-collision-grounding-in-vision-language-models-for-safe-human-robot-collaboration
Paper ref
probing-collision-grounding-in-vision-language-models-for-safe-human-robot-collaboration
arXiv id
2605.31196
Generated at
2026-06-01T20:22:26.659Z
Evidence freshness
stale
Last verification
2026-06-01T20:22:26.659Z
Sources
3
References
0
Coverage
50%
Lineage hash
25e68befc99bd3d37745f26e88ec564f66c6cc35ca78cb5793f613cc98e11587
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