citation-diversifier
# Citation Diversifier (budget-as-constraints) [NO NEW FACTS]
Purpose: fix a common survey failure mode:
- the draft reads under-cited (or reuses the same few citations everywhere)
- the pipeline fails the **global unique-citation** gate
This skill does **not** change prose by itself.
It produces a constraint sheet: `output/CITATION_BUDGET_REPORT.md`.
## Inputs
- `output/DRAFT.md`
- `outline/outline.yml` (H3 ids/titles; used to allocate budgets per subsection)
- `outline/writer_context_packs.jsonl` (source of `allowed_bibkeys_{selected,mapped,chapter,global}` per H3)
- `citations/ref.bib`
## Output
- `output/CITATION_BUDGET_REPORT.md`
## Non-negotiables (NO NEW FACTS)
- Only propose citation keys that exist in `citations/ref.bib`.
- Only propose keys that are **in-scope** for the target H3 (prefer subsection-first scope; use chapter/global only when truly cross-cutting).
- Do not propose “padding citations” that would require adding new claims or new numbers.
## What a good budget report looks like (contract)
The report should feel like a *constraint sheet*, not a random list:
- It states the **blocking policy target** and the **gap-to-target** (how many unique keys are missing; policy default is `recommended`).
- For each H3, it proposes a scope-safe budget sized to actually close the gap:
- small gaps: 3-6 keys / H3 is often enough
- A150++ gaps: plan for ~6-12 keys / H3 (and avoid duplicates across H3 budgets)
- It gives placement guidance (where in the subsection those keys can be embedded without adding new facts).
Canonical (parseable) lines required (downstream validators depend on these):
- The target is derived from `queries.md:citation_target` (`recommended` by default for A150++).
- `- Global target (policy; blocking): >= <N> ...`
- `- Gap: <K>` (gap-to-target; if `0`, injection can be a no-op PASS)
Optional (always reported; may be blocking depending on `citation_target`):
- `- Global recommended target: >= <N> ...`
- `- Gap to recommended: <K>`
Recommended prioritization (scope-safe):
- `allowed_bibkeys_selected` → `allowed_bibkeys_mapped` → `allowed_bibkeys_chapter`
- Use `allowed_bibkeys_global` only for:
- benchmarks/protocol papers
- widely-used datasets/suites
- cross-cutting surveys/method papers referenced across chapters
## How this connects to writing (LLM-first)
After you generate the budget report:
- Apply it using `citation-injector` (LLM edits to `output/DRAFT.md`, NO NEW FACTS).
- Then run `draft-polisher` to remove any “budget dump voice” while keeping citation keys unchanged.
Important: `citation-injector` is **LLM-first**. Its script is validation-only.
## Workflow
1) Diagnose the global situation
- Read `output/DRAFT.md` and estimate the “unique-key gap” (or use `pipeline-auditor`’s FAIL reason).
2) Allocate budgets per H3 (scope-first)
- Use `outline/outline.yml` to enumerate H3s in paper order.
- For each H3, read its allowed key sets from `outline/writer_context_packs.jsonl`.
- Pick a small set of *unused* keys that strengthen positioning without requiring new claims.
3) Write `output/CITATION_BUDGET_REPORT.md`
Required structure:
- `- Status: PASS|FAIL`
- `- Global target (policy; blocking): >= <N> ...`
- `- Gap: <K>`
- `## Summary` (gap + strategy)
- `## Per-subsection budgets` (H3 id/title → suggested keys → placement hint)
## Script (optional; deterministic report generator)
If you want a deterministic first-pass budget report, run the helper script. Treat it as a baseline and refine the plan as needed.
### Quick Start
- `python scripts/run.py --help`
- `python scripts/run.py --workspace workspaces/<ws>`
### All Options
- `--workspace <dir>`
- `--unit-id <U###>` (optional)
- `--inputs <semicolon-separated>` (rare override; prefer defaults)
- `--outputs <semicolon-separated>` (rare override; default writes `output/CITATION_BUDGET_REPORT.md`)
- `--checkpoint <C#>` (optional)
### Examples
- Default IO:
- `python scripts/run.py --workspace workspaces/<ws>`
## Done criteria
- `output/CITATION_BUDGET_REPORT.md` exists and has actionable, in-scope budgets.
- After applying the plan via `citation-injector`, `pipeline-auditor` no longer FAILs on global unique citations.
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skill
ai