The paper reporting about the first observation of gravitational waves includes an acknowledgment section of over 300 words that lists dozens of organisations from around the globe.

The authors gratefully acknowledge the support of the United States National Science Foundation (NSF) for the construction and operation of the LIGO Laboratory and Advanced LIGO as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max-Planck Society (MPS), and the State of Niedersachsen, Germany, for support of the construction of Advanced LIGO and construction and operation of the GEO 600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council. The authors gratefully acknowledge the Italian Istituto Nazionale di Fisica Nucleare (INFN), the French Centre National de la Recherche Scientifique (CNRS), and the Foundation for Fundamental Research on Matter supported by the Netherlands Organisation for Scientific Research, for the construction and operation of the Virgo detector, and for the creation and support of the EGO consortium. The authors also gratefully acknowledge research support from these agencies as well as by the Council of Scientific and Industrial Research of India, Department of Science and Technology, India, Science & Engineering Research Board (SERB), India, Ministry of Human Resource Development, India, the Spanish Ministerio de Economía y Competitividad, the Conselleria d’Economia i Competitivitat and Conselleria d’Educació, Cultura i Universitats of the Govern de les Illes Balears, the National Science Centre of Poland, the European Commission, the Royal Society, the Scottish Funding Council, the Scottish Universities Physics Alliance, the Hungarian Scientific Research Fund (OTKA), the Lyon Institute of Origins (LIO), the National Research Foundation of Korea, Industry Canada and the Province of Ontario through the Ministry of Economic Development and Innovation, the Natural Sciences and Engineering Research Council of Canada, Canadian Institute for Advanced Research, the Brazilian Ministry of Science, Technology, and Innovation, Russian Foundation for Basic Research, the Leverhulme Trust, the Research Corporation, Ministry of Science and Technology (MOST), Taiwan, and the Kavli Foundation. The authors gratefully acknowledge the support of the NSF, STFC, MPS, INFN, CNRS and the State of Niedersachsen, Germany, for provision of computational resources. This article has been assigned the document numbers LIGO-P150914 and VIR-0015A-16.

A retraction notice explaining that the article it refers to was initially published in the wrong journal, due to a publisher error.

This article has now been published in the correct journal

All references cited in the section "2.1 Large language models and expert agents" are amongst the 11 ones that are mentioned in the retraction notice for being non-existent.

LLMs, including OpenAI's GPT series and similar frameworks, have revolutionized the understanding and simulation of human-like expertise and decision-making processes. [..] although LLMs offer unparalleled opportunities, ensuring transparency and ethical use remains essential for their integration into expert-driven methodologies.

The GND record 103138900 mixes up two people: the priest and historian "Johannes Kraus" (Wikidata QID: Q140136465) who died around 1484 with the mathematician "Johannes Karl Kraus" (Wikidata QID: Q102405738) who co-authored the book "Robust Algebraic Multilevel Methods and Algorithms" that was published in 2009.

-1484 (Todesjahr ca.)

"Ivelina Georgieva" is associated with the ORCID "0000-0003-1043-1675", however, the corresponding ORCID page https://orcid.org/0000-0003-1043-1675 is associated with the name "Henrique Miguel Pereira".

Ivelina Georgieva

obvious error: the full-text number should be a subset of the total number of papers but 85000 is larger than 62000

of the 62000 papers curated by ChEMBL in EPMC only 85000 are full-text and only 600 OA

In the "Use cases" listing, the entries for "Recently read papers" and "Query: Get thanks" do not currently work. I suspect this is because of escaping related to HTML/ URL formatting.

In the "Use cases" listing, the entries for "Recently read papers" and "Query: Get thanks" do not currently work. I suspect this is because of escaping related to HTML/ URL formatting.

Perhaps we should have a space dedicated to collecting papers, blog posts and other materials about nanopublications. Such a resource could assists in welcoming newcomers to the nanopublication system by giving them introductory (and ideally perhaps third-party) perspectives on it.

In the current implementation of the "Questions & answers" display, it is irritating to have a "Reply" button next to the first-level reply. When I replied to such a first-level reply, my second-level reply got displayed as the (most recent) first-level reply. This should probably be disentangled a bit in terms of UI.

We just tested an end-to-end workflow: an AI agent reads a nanosuggestion, implements it as a feature in the codebase, and opens a pull request for human review.

Maybe we should have a mechanism to have nanoalerts, e.g. notifications for new nanopublications meeting certain criteria.

It would be useful if Nanodash had more formal release mechanisms and in particular a staging setup separate from the production setup, so that new versions can be tested more thoroughly before being deployed.

Nanodash should probably have a simple way to share screenshots, especially for bug reports.

OK, makes sense, I updated the view so it has an "add..." template that fixes the motivation to "highlighting".

OK, thanks for the hint. I think that if the nanopub was created via the "add" button from the "Highlighting" table, then setting "highlighting" as a default makes sense. If we let users change that, then there should perhaps be some warning that the result will not pop up in the "Highlightings" table.