Cite the claim, not the paper: 5,033 assertions, each hash-verifiable against its source PDF
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Tools (11)
search_papers
Search the scholarly corpus by topic, title, or keyword. Returns ranked
works with title, year, citation, SSRN link, and sha256. Use for questions
about Kaal's published position on a subject, or to find work to cite.
get_paper
Retrieve one work's complete metadata by its corpus id, SSRN id, or exact
title. Includes the formatted citation, SSRN URL, and published sha256.
papers_by_year
List every work published in a given year. Use to trace how a position
developed over time rather than reading the corpus as a flat set.
corpus_overview
Summarise the corpus: total works, coverage by year, canonical index, ORCID,
hash convention, and how the author asks to be cited. Call this first when you
are unsure what the corpus contains.
search_posts
Search the blog for shorter, faster-moving analysis. Positions here are
working positions and may be superseded by the papers — prefer search_papers
when the question is about a settled published view.
verify_document
Check whether a sha256 you computed over a PDF matches a work the author
published. Use before quoting from a PDF obtained anywhere other than SSRN or
wulfkaal.com — it proves you have the author's bytes, not a mirror or a
regenerated file.
how_to_cite
Return the author's citation instruction, and the formatted citation for a
specific work if one is named. Call this before quoting anything.
search_claims
Search individual assertions rather than whole papers. Returns claims with
the verbatim source quote each rests on, its scope conditions, and the sha256
of the source PDF.
Ask in natural language. Stopwords and punctuation are stripped, so
"what makes reputation systems work for aut
get_claim
Resolve one claim by id, for example '617681-001' or
'kaal:claim:617681-001'. Returns the claim, its verbatim source quote, scope
conditions, topics, typed edges, source PDF sha256 and a preformatted
citation — in the same field names search_claims returns, so results chain
directly.
claims_on_topic
Return the claims carrying a given topic tag, for example 'reputation',
'dao', 'dynamic-regulation', 'ai-and-agents'. Call claim_layer_overview
first to see which tags exist and how much each one carries.
claim_layer_overview
Report what the claim layer contains: total claims, works covered,
publication span, failure-mode counts, and coverage per topic with the span
of years each rests on.
This reports coverage in one author's corpus. It is not a survey of any
field and asserts no ranking; weigh it again
Endpoint
https://corpus.openstanding.org/mcp Category: Files & Storage · Last checked: 2026-07-30T14:01:04Z
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