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Every Federal Register rule item was indexed twice: as anchored FR paragraphs in the rules collection (67k chunks, federalregister.gov links) and again from its PDF attachment into corpus (161k chunks, kind 'corpus', item-URL links). The PDF copies outnumbered the anchored ones 2:1 in retrieval, so proposed rules and corrections came back as 'corpus' citations. iter_corpus_refs now skips rule-typed and fr_anchors-bearing items; stack llm prune-rules deletes the corpus copies (and their index_state rows) and stamps rule_kind (proposed/final/correction, bib.frlink.rule_kind) on the rules chunks; new rule docs carry rule_kind from the start. as_source exposes it, the prompt's source line reads '(proposed rule, 2026-07-16)', and the chat and search badges show it instead of 'rule'. CMS Internet-Only Manual chapters: llm.manuals.sectionize turns each body section heading (the ones followed by their '(Rev.' line; the table of contents stays plain) into a markdown heading, so chunks split at section boundaries and carry section / iom_section / iom_title plus the chapter's publication number and chapter; enrich_pdf_pages lets chunks under a sub-heading inherit the enclosing file so they keep their page. Manual citations read 'IOM 100-04 ch.18 §10.1.2' and link to the chapter PDF page; /search takes doctype, manual, chapter and section filters.
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title, sidebar_position
| title | sidebar_position |
|---|---|
| stack prisma | 88 |
stack prisma
Usage: stack prisma [OPTIONS] COMMAND [ARGS]...
LLM-driven PRISMA screening workflow.
╭─ Options ────────────────────────────────────────────────────────────────────╮
│ --help Show this message and exit. │
╰──────────────────────────────────────────────────────────────────────────────╯
╭─ Commands ───────────────────────────────────────────────────────────────────╮
│ init Create (or re-load) the project's three Zotero anchor items: │
│ criteria, extraction-template, and the reasons codebook. │
│ export Dump one Zotero item as the LLM-ready markdown snapshot. │
│ ping-llm Send a cheap ping through the configured provider. │
│ screen Stage 2 — LLM-driven title/abstract screening pass. │
│ eligible Stage 3 — LLM-driven full-text eligibility pass. │
│ extract Stage 3+ — structured data extraction on included studies. │
│ flow Emit the PRISMA 2020 flow diagram from current tag counts. │
│ fetch Fetch PDFs for every non-excluded item lacking an attachment. │
│ run Orchestrate all PRISMA stages in order. │
│ vpn DigitalOcean SOCKS5 exit for fallback fetch (SSH tunnel, no sudo │
│ needed). │
╰──────────────────────────────────────────────────────────────────────────────╯