Search Lacuna's ML/AI corpus for papers, research directions, authors,
venues, institutions, novel research hypotheses, and research resources
(code repositories, datasets, models, and demos linked to papers).
For novel ML/AI research ideas, use search_type="hypothesis", then
get_hypothesis on promising results.
search_type accepts all, cluster, paper, author, institution, venue,
hypothesis, or resource. Use paper for literature and get_paper to read a
result. Use other sources for biographies, news, and non-research web
content.
Resources: search_type="resource" searches GitHub repositories, Hugging
Face datasets/models, and Zenodo records that Lacuna has linked to at least
one paper. To find benchmark or evaluation datasets, use
search_type="resource" with resource_kind="dataset" (for example query
"image classification benchmark" or a dataset name like "ImageNet").
resource_kind accepts codebase, dataset, model, or demo (one value or a
list); provider accepts github, huggingface, or zenodo. Both filters require
search_type "resource" or "all" (with either filter set, only resources are
returned). Each result has an external `url`, a Lacuna `context_url`, and
`linked_paper_count`; call get_resource on its id to list the linked papers
(with their relationship to the resource), then get_paper on those papers
for reported results and numbers. Resource search does not support
date_from/date_to, venue, year sorting, or semantic ranking.
ranking_profile accepts:
- default / lexical (default): production ranking; relevance-sorted paper
searches combine lexical and semantic retrieval when fields is unset.
- semantic: conceptual paper retrieval; supported for paper and all.
- bm25_title_abstract / bm25: lexical paper matching over those fields.
sort accepts relevance (default), year_desc, or year_asc. Semantic ranking
cannot use year sorting; constrain recency with date_from/date_to instead.
date_from and date_to are inclusive YYYY, YYYY-MM, or YYYY-MM-DD bounds.
author_id_or_url constrains a paper search to one author. Pass an author ID
or Lacuna author page URL; it requires search_type="paper".
fields optionally restricts and weights lexical fields, for example
"title^4,abstract". Supported names are title, abstract, summary, concepts,
name, top_names, and venue, plus description, topics, provider_key, and
paper_titles for resources (a resource's title already includes its
description, topics, README text, and linked paper titles). Fields must
exist on the selected search_type, weights must be within
0 < weight <= 100, and fields cannot be combined with semantic ranking.
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