The case / Part 4 of 5

Who has to act, and what would move them

Journal editors and senior, tenured academics decide what counts. Here's why each group would say yes or wait, and what would move them.

The path

Researchers use the assistant before submitting, if it catches problems before a referee does.
Journals run it on submissions and give the report to referees, wherever their rules allow.
Journals offer it to every author before submission.
Labs record what they've tried, and those that want it start logging every run.
Once the field values them, the report and the run log become the default, as deposit and registration did in other fields.

Who	Why they would	Why they wouldn't	What moves them in phase 1	What moves them long term
Physics journals	Claims that are never confirmed and quietly fade cost journals trust, and retractions most of all. Physical Review journals already require a data availability statement, so this is the next step on a path they're on.¹	Checks cost money and can slow review, and authors may take papers to journals without the requirement.	Offering the assistant to authors, and to referees through the journal's own deployment, piloted in one journal first.	Making the report, and later the run log, the default once the field values it, with a place for notes on what didn't work.
High-profile multidisciplinary journals	Their names are on the most visible retractions. They already publish referee reports and offer reviewers private access to data and code.²	Novelty and speed are what they sell.	Offering the referee assistant through their own approved deployment.	Visible cases, and a competitor moving first.
Private foundations	They can move fast, care about the health of a field and not only single results, and have launched shared infrastructure before.³	Shared infrastructure is slow to pay off, and grantees may see new tools as extra work.	Paying to build the assistant and curate the library, as a pilot with willing grantees.	Paying for the shared record, and a view of the field that shows where money is going and where it isn't.
Government funders	They already require data management plans, and they pay for the false leads.	Enforcing plans costs money, and attention is elsewhere.	Tools that help grantees meet the data plans they already require.	A view of what the field is working on and where nobody is investing, from records that cost them nothing to collect.
Lab heads and senior academics	Nothing is lost when a student leaves, methods and figures are easier to write, revisions are faster, and a collaborator's mistake gets caught before publication.	Time, fear of being scooped, and exposing mistakes.	An assistant that catches problems before a referee does.	Logging that runs in the background with tools they already use, and credit that counts for grants and hiring.
Students and postdocs	Their careers absorb the cost when a claim falls apart. The Pittsburgh report counts diverted careers, often of young researchers, among the costs of every disproven claim.⁴	They have the least power and the most to lose.	Senior people going first, and tools that package their data and analysis as they go.	Reproducible work showing up in the papers and letters that hiring committees read.
Universities	Integrity cases are costly, and the Pittsburgh report asks them to count datasets and code as research outputs.⁵	Hiring and promotion run on publication metrics.	Approving the tools under their existing AI and data agreements.	Peer institutions and funders moving first, and counting datasets and code in hiring and promotion.
Quantum computing and AI materials companies	Their roadmaps depend on the physics being right, and AI models need measured data they can trust.	Their own data is proprietary.	An open lookalike library they can use and add to.	Shared, checked measured data they can train and test against.

1 American Physical Society, Refreshed Data Availability Policy for the Physical Review journals, 2024 AI only

APS announced on 1 August 2024 that every Physical Review article must carry a statement saying where the data needed to support or replicate its claims can be accessed, from late 2024; public sharing is encouraged but not required, and authors who don't share publicly must share with referees and editors on request. Scope: Physical Review journals. Open the source Confidence: confident.

2 Nature Communications, editorial process; Nature, 16 June 2025 AI only

Nature Communications publishes reviewer comments and author rebuttal letters for all original research articles submitted from 1 November 2022, and Nature made publishing referee reports and author responses standard for new research submissions from 16 June 2025. Open the source Confidence: confident.

3 Center for Open Science, Our sponsors; WIRED 2017 AI only

The Center for Open Science says funding from the Laura and John Arnold Foundation provided the initial funding to launch it in 2013; WIRED reports the initial grant was $5.25 million. Open the source Confidence: confident.

4 Akrap, Frolov et al. 2026, Report on reproducibility in condensed matter physics, section I AI only

The report says that behind every disproven claim are months of work, funding not dedicated to replication, and diverted careers, often those of young researchers. Open the source Confidence: confident.

5 Akrap, Frolov et al. 2026, Report on reproducibility in condensed matter physics, sections V.2 to V.4 AI only

The report asks funders to consider funding work that explicitly aims to replicate prior results, publishers to formulate clear acceptance criteria for replication efforts, and universities to consider datasets and code as research outputs alongside publications. Open the source Confidence: confident.

One adopter showing results is the example others copy. A single journal offering the assistant to its authors and referees, or a single funder paying for it for its grantees, would be enough to start.