Schematical Options™
A research and forensic-audit filter. Pick a category or a rule and you get quoted sections from the published documents, not just titles — each with the document, the option that matched, whether the match is Referential or Associative, and the exact phrase.
Status: this is the first layer of site search — a categorical snippet filter built from fixed, visible rules over 167 documents (134 research entries + 33 evidence-only text files), 15,040 sections indexed, 205 options, 2,196 snippets kept. Full-text search and question answering are not built yet. The whole index is public at /research/filter.json.
Referential = the text names a document, system, statute, standard or identifier (e.g. “RFC 9001”, “17684-273-411-436”, “Lane-VM”). Associative = a concept that appears in the passage (e.g. “Python”, “chain of custody”), or two concepts in the same section. Category hits show the opening section of each document in that group. Organisation names appear only because the documents mention them; no affiliation or endorsement is implied.
Loading the snippet index…
How this index is built
Text was extracted from every published /research file (pdftotext for PDFs; tags stripped for HTML; DOCX XML read directly), plus evidence-only text files (logs, code, manifests). Each page was split into sections of at most 600 characters. Each option is a visible rule: a research category, or a regular expression run over the section text. Referential options match exact names of documents, systems, statutes, standards and identifiers; associative options match concepts that appear in the passage. Up to 2 sections per document and 36 per option are kept; match_docs/match_sections give the uncapped totals. Files with no extractable text (images, archives) are represented by their research-entry abstract. Excerpts are verbatim extracted text with whitespace normalised; nothing is generated.
Generated 2026-11-09T22:35:00-08:00 (America/Los_Angeles). Back to Research contents.