What are VerdictPal guides?
Three academic workflows. Each path has a matching tool stack and a playbook with the exact run order, outputs, and failure checks. Nothing here asks you to trust a chat transcript.
What two arXiv papers show about wrong or fabricated references, and how to check every citation before submitting your thesis or paper.
Check permission, training settings and retention before uploading a thesis or manuscript. Dated ChatGPT, Perplexity and SciSpace policy evidence.
Compare training settings, retention and education or enterprise rules for ten research tools. Sort the dated evidence; unknown facts stay visible.
Two published tests on Perplexity citations, what they cover and what they don't, plus a quick way to check a Perplexity source before you cite it.
Alternatives to Perplexity grouped by job: cited web answers, private search, open source, academic papers and developer APIs. Prices checked 16 October 2026.
Which AI tools cite from a real paper index and which cite the web or nothing at all, plus a two-minute check for any citation.
Alternatives to Elicit grouped by job: finding papers, extracting from papers, and open-source screening. Prices checked on vendor pages in October 2026.
Source grounding, upload limits and training rules for Gemini Notebook (formerly NotebookLM), ChatGPT Projects and Claude Projects, from the vendors' help pages.
Can you use AI in your thesis, and how do you declare it? Rules from ETH, ZHAW, HSG, Uni Wien, UZH and nine more, from official sources, checked 16 Oct 2026.
Can you use AI in your ETH thesis? Agree it with your supervisor and tick the right box on the declaration of originality. Official sources, checked 16 Oct 2026.
At ZHAW, AI use must be declared, by default with a list of AI systems and purposes, unless your lecturer sets other rules. Checked 16 Oct 2026.
At HSG, AI counts as an aid: list it in the aids directory and confirm responsible use in the declaration of authorship. Official text, checked 16 Oct 2026.
At the University of Vienna, the BSP/W1 declaration requires you to make AI-generated texts and images transparent. Clarify the rest with your supervisor.
At UZH, the rules on AI in your thesis depend on your faculty or programme. Where AI is used, it must be fully labelled. Official sources, checked 16 Oct 2026.
At the University of Geneva, faculties decide on AI use and you are personally responsible for yours. What GSEM, Sciences and FTI require, checked 16 Oct 2026.
At TUM, AI rules for theses depend on your school and chair. At CIT, a framework agreement sets what is allowed, labelled or forbidden. Checked 16 Oct 2026.
At LMU Munich, AI rules for theses depend on your faculty. Physics: clarify with your supervisor and state which software you used, when and how much.
The University of Basel has no general AI ban; lecturers decide. AI may only play a supporting role in assessed work. Leitfaden v3.0, checked 16 Oct 2026.
At the University of Bern, lecturers define which aids are allowed and may require an adapted declaration naming the AI tool. Checked 16 Oct 2026.
EPFL rules (Lex 1.3.3, Art. 4) require AI use to be disclosed in a statement. Your course or instructor sets the wording. Checked 16 Oct 2026.
At UNIL, assume an AI tool is not allowed unless your teacher explicitly allows it, then declare tool and use. HEC MSc has its own form. Checked 16 Oct 2026.
At BFH, AI rules depend on your department and degree programme; lecturers decide how AI content is labelled. BFH AI policy, checked 16 Oct 2026.
Fribourg's Faculty of Law requires a register of AI use annexed to written work started from 16.02.2026. Directive n° 3, ch. 59a–59f, checked 16 Oct 2026.
Students reaching for student researcher AI who must turn a broad assignment into a page they can defend when someone asks where a number came from.
Build the source trail with Perplexity, Semantic Scholar, Zotero, and NotebookLM before you write a sentence, so every claim has a source you opened and dated.
StackFour tools with one rule between them: nothing enters the bibliography until you have opened it and written down the date.
PlaybookOne page: the question, 6–8 dated source rows, three claims, and the caveat under each.
Students and researchers hunting literature review AI tools who already have papers downloaded and a supervisor waiting for structure, not another chatbot essay.
Use the named tools to group papers by what they claim and measure, so disagreements surface before you write the first section.
StackSix tools that keep the reading in your hands and the bookkeeping out of them.
PlaybookA one-page map: 4–6 clusters, two anchor papers each, three disagreements with the design choice behind them, and the gaps your next search has to close.
Students and researchers looking up AI for peer review who must write a referee report on a manuscript they are not allowed to share.
Settle the venue AI rule first, then build the report from one human read and the public citation record — not from a pasted PDF.
StackThe public record does the citation work. The manuscript stays on your machine. The judgement stays yours.
PlaybookA structured report: a summary the authors recognise, major issues with fixes, minor issues, citation flags with public URLs, and a recommendation that follows from the majors.
Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.
Three academic workflows. Each path has a matching tool stack and a playbook with the exact run order, outputs, and failure checks. Nothing here asks you to trust a chat transcript.
Each path has a matching tool stack and a playbook with the run order, outputs, and failure checks.
Three academic workflows:
The Pack · Editorial newsletter
One short email when a university changes its AI rule for theses, or a research tool changes its pricing or privacy terms. No tracking, no third-party analytics. Unsubscribe in one click.