Toward a Compositional Theory of Trust in Embodied Intelligence: A QNLP Framework for Modeling Context, Interaction, and Trustworthiness
Assessment outcome
total 1/4 (actionability 0 + authority 1); currency unscored, so pro-rated to 1.5/6
Authorship & scope
Named authors Li Yang and Song Yao are clearly identified by the byline.
Level 1 (capped): the quote establishes a journal venue but does not establish the peer-review status required for Level 2.
Issuers, who it governs, legal force and content are on the full record.
Eligibility gates
HTTP 200, 10259 words of full text extracted
The source is explicitly about modeling trust in embodied AI and autonomous agents.
Addresses risk, safety, and reliability rules for embodied AI systems.
Named authors Li Yang and Song Yao are clearly identified by the byline.
There is no retraction, withdrawal, or supersession notice on the page.
Scored criteria
Actionability
0/2Level 0: Description or analysis only, proposing a QNLP framework for trust modeling without prescribing binding obligations or steps.
Authority
1/2Level 1 (capped): the quote establishes a journal venue but does not establish the peer-review status required for Level 2.
Biomimetics (Basel) Biomimetics (Basel) 3613 biomim 101719189 biomimetics Biomimetics 2313-7673 Multidisciplinary Digital Publishing Institute (MDPI) PMC13297457 PMC13297457.1 13297457 13297457 42345727 10.3390/biomimetics11060438 biomimetics-11-00438 1 Article
Currency
—computed: no publish/modified date found on the page (never guessed)