Reader enhancements database
New create-work flow for My Works that has been released to some customers. The work-details metadata card also gets a cleanup — version DOIs fall back to the work-level DOI, and empty DOI and license fields are hidden instead of showing blank labels. We’re also previewing the enhancements database we’re building for Curvenote Reader — layering equations and abbreviations into view for each version of a paper.
Curvenote SCMS¶
Create-work flow on My Works. The single “New” button has becomes a create-work menu — Article, Check My Work, and extension-provided options such as PMC deposit — with each choice routed to the right handler instead of defaulting to a plain work creation.

Figure 1:The “Create new submission” menu on My Submissions offers Article, Check My Work, and extension-provided options such as PMC Deposit — each routed to the right handler.
DOIs improvements for Work details. When a version has no DOI of its own, the work-details page now shows the work-level DOI, so the record still displays a resolvable identifier where one exists instead of an empty DOI row. The metadata card hides the DOI row when neither the version nor the work has a DOI, and hides the license row when no license is set — so incomplete records no longer show empty labels.
Curvenote Reader¶
An enhancements database, layered on demand. We’re building an enhancements database for Curvenote Reader that layers extra context onto content on demand, for each version of a paper — starting with equations (which often arrive as images) and abbreviations. The underlying technology has come together over the last few weeks: a way to attach and render these enhancements on top of the existing content, without changing the source, for every version of a work.
openRxiv Labs — Curvenote Reader¶
openRxiv Labs uses Curvenote Reader for all bioRxiv and medRxiv content — see openRxiv Labs.
Bringing math into view. A lot of the feedback we hear on Reader is that math comes in as images — a property of the underlying bioRxiv corpus rather than the Curvenote Reader itself. The enhancements work above is aimed squarely at this: layering equations (and tables in future) into view for each version of a preprint, so math and glossaries read cleanly even when the source only provides an image. It is in active development and will roll out to openRxiv Labs as it lands.