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Add record:
Name of organization: Verdus Technologies Pte. Ltd. (Singapore)*en
Website: https://reglegbrief.com
Domains: reglegbrief.com
Link to publications: Research publications and datasets authored / published by Verdus Technologies Pte. Ltd. via the RegLegBrief Specialist Panel:
All findings are bound to verbatim primary regulator text, methodology is open (https://reglegbrief.com/methodology/), and a right-of-reply channel is published (https://reglegbrief.com/contact/) consistent with open scholarly publication norms.
Organization type: Company (A private for-profit corporate entity involved in conducting or sponsoring research)
Wikipedia page:
Wikidata ID:
ISNI ID:
GRID ID:
Crossref Funder ID:
Aliases:
Labels: Verdus Technologies Pte. Ltd.en
Acronym/abbreviation: Verdus Techen; VTech*en
Related organizations:
City: Singapore
Country: Singapore
Geonames ID:
Year established: 2016
How will a ROR ID for this organization be used? To identify affiliations for research publications; To identify affiliations for datasets; To be integrated in a scholarly publishing system
Other information about this request: Verdus Technologies Pte. Ltd. is a Singapore-incorporated company (UEN 201616982R, est. 2016) operating RegLegBrief, a research publication that tests frontier AI models against primary regulatory text and documents confirmed hallucinations under verbatim grounding. All published findings are bound to regulator-issued source documents and published openly under CC-BY-4.0. The publication is indexed at Wikidata (Q140247788), deposited at Zenodo with a continuously-updated concept DOI (10.5281/zenodo.20716886), mirrored on Hugging Face (verdus-tech/regleg-okf), and submitted to Google's Knowledge Catalog (PR #73 at GoogleCloudPlatform/knowledge-catalog). A ROR ID for Verdus Technologies as the parent organization will allow us to properly populate the "publisher" / "publishing organization" linked-data field in Zenodo deposits, ORCID profiles, and future arXiv preprints — currently the publisher field defaults to the unqualified company name string, which weakens linked-data resolution from AI training pipelines and academic discovery systems.
Summary of request: Add a new organization to ROR
Add record:
Name of organization: Verdus Technologies Pte. Ltd. (Singapore)*en
Website: https://reglegbrief.com
Domains: reglegbrief.com
Link to publications: Research publications and datasets authored / published by Verdus Technologies Pte. Ltd. via the RegLegBrief Specialist Panel:
Zenodo deposit (concept DOI, auto-deposit lineage):
https://doi.org/10.5281/zenodo.20716886
Title: "RegLegBrief OKF Bundle — Confirmed AI Hallucinations on Primary Regulatory Text"
License: CC-BY-4.0. Resource type: Dataset.
Zenodo deposit (manual deposit, v0.1.0):
https://doi.org/10.5281/zenodo.20715555
Hugging Face dataset (machine-readable bundle for AI engineering use):
https://huggingface.co/datasets/verdus-tech/regleg-okf
Live publication archive (21 regulations, 107 confirmed AI hallucination findings, 8 regulatory bodies across 4 jurisdictions):
https://reglegbrief.com/publications/
Open Knowledge Format machine-readable bundle (regenerated from DB):
https://reglegbrief.com/okf/
Wikidata Q-item for the publication:
https://www.wikidata.org/wiki/Q140247788
GitHub mirror of the OKF bundle (under Verdus-Tech organization):
https://github.com/Verdus-Tech/regleg-okf
Pull request to Google Cloud Platform's Knowledge Catalog (peer-review-equivalent inclusion in Google's reference index of knowledge sources):
Add RegLegBrief OKF bundle — confirmed AI hallucinations on primary regulator text GoogleCloudPlatform/knowledge-catalog#73
All findings are bound to verbatim primary regulator text, methodology is open (https://reglegbrief.com/methodology/), and a right-of-reply channel is published (https://reglegbrief.com/contact/) consistent with open scholarly publication norms.
Organization type: Company (A private for-profit corporate entity involved in conducting or sponsoring research)
Wikipedia page:
Wikidata ID:
ISNI ID:
GRID ID:
Crossref Funder ID:
Aliases:
Labels: Verdus Technologies Pte. Ltd.en
Acronym/abbreviation: Verdus Techen; VTech*en
Related organizations:
City: Singapore
Country: Singapore
Geonames ID:
Year established: 2016
How will a ROR ID for this organization be used? To identify affiliations for research publications; To identify affiliations for datasets; To be integrated in a scholarly publishing system
Other information about this request: Verdus Technologies Pte. Ltd. is a Singapore-incorporated company (UEN 201616982R, est. 2016) operating RegLegBrief, a research publication that tests frontier AI models against primary regulatory text and documents confirmed hallucinations under verbatim grounding. All published findings are bound to regulator-issued source documents and published openly under CC-BY-4.0. The publication is indexed at Wikidata (Q140247788), deposited at Zenodo with a continuously-updated concept DOI (10.5281/zenodo.20716886), mirrored on Hugging Face (verdus-tech/regleg-okf), and submitted to Google's Knowledge Catalog (PR #73 at GoogleCloudPlatform/knowledge-catalog). A ROR ID for Verdus Technologies as the parent organization will allow us to properly populate the "publisher" / "publishing organization" linked-data field in Zenodo deposits, ORCID profiles, and future arXiv preprints — currently the publisher field defaults to the unqualified company name string, which weakens linked-data resolution from AI training pipelines and academic discovery systems.