Research Wiki

Research Wiki: Persistent Research Knowledge Base

Subcommand: $ARGUMENTS

Overview

The research wiki is a persistent, per-project knowledge base that accumulates structured knowledge across papers, ideas, experiments, claims, and their relationships.

Unlike one-off literature notes that are forgotten after a session, the wiki compounds: every paper page, experiment page, failed idea, and explicit relationship becomes reusable context for later work.

Inspired by Karpathy's LLM Wiki pattern: compile knowledge once, keep it current, do not re-derive the same field map every time.

Core Concepts

Four Entity Types

Typed Relationships (graph/edges.jsonl)

Edges live in graph/edges.jsonl. The ## Connections section on each page is a human-readable projection of that graph and should not be hand-maintained as a second source of truth.

Wiki Directory Structure

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research-wiki/
  index.md
  log.md
  gap_map.md
  query_pack.md
  papers/
    <slug>.md
  ideas/
    <idea_id>.md
  experiments/
    <exp_id>.md
  claims/
    <claim_id>.md
  graph/
    edges.jsonl

Subcommands

/research-wiki init

Initialize the wiki for the current project:

1. create the research-wiki/ directory structure
2. create empty index.md, log.md, gap_map.md, query_pack.md
3. create empty graph/edges.jsonl
4. append an initialization entry to log.md

/research-wiki ingest "<paper title>" - arxiv: <id>

Add a paper to the wiki with the bundled helper:

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# arXiv-based ingest
python scripts/research_wiki.py ingest_paper research-wiki/ \
    --arxiv-id 2501.12345 --thesis "One-line claim from abstract."

# manual metadata ingest
python scripts/research_wiki.py ingest_paper research-wiki/ \
    --title "Attention Is All You Need" \
    --authors "Ashish Vaswani, Noam Shazeer" \
    --year 2017 --venue "NeurIPS"

# add an explicit relationship after ingest
python scripts/research_wiki.py add_edge research-wiki/ \
    --from "paper:vaswani2017_attention_all_you" \
    --to "paper:chen2025_factorized_gap" \
    --type "extends" --evidence "Section 3.2 adapts the encoder block."

The helper performs:

1. metadata fetch when --arxiv-id is provided
2. slug generation
3. de-duplication
4. page creation or update
5. index.md rebuild
6. query_pack.md rebuild
7. log.md append

/research-wiki sync - arxiv-ids <id1>,<id2>,...

Batch backfill one or more arXiv IDs:

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python scripts/research_wiki.py sync research-wiki/ \
    --arxiv-ids 2310.06770,1706.03762

python scripts/research_wiki.py sync research-wiki/ --from-file ids.txt

Use this when papers were discussed earlier but not yet ingested. sync does not depend on hidden hooks or session traces; it only ingests the IDs you explicitly provide.

Paper Page Schema

The bundled helper emits this schema for paper pages:

markdownCopy code
---
type: paper
node_id: paper:<slug>
title: "<full title>"
authors: ["First A. Author", "Second B. Author"]
year: 2025
venue: "arXiv"
external_ids:
  arxiv: "2501.12345"
  doi: null
  s2: null
tags: ["tag1", "tag2"]
added: 2026-04-07T10:12:00Z
---

# <full title>

## One-line thesis

## Problem / Gap

## Method

## Key Results

## Assumptions

## Limitations / Failure Modes

## Reusable Ingredients

## Open Questions

## Claims

## Connections

## Relevance to This Project

If the paper was ingested with --arxiv-id and the API returned an abstract, the helper appends ## Abstract (original) at the end.

/research-wiki query "<topic>"

Generate query_pack.md, a compressed context file for later ideation, planning, or quick re-entry into the project.

Fixed budget (max 8000 chars / about 2000 tokens):

Prune low-ranked paper detail first. Do not prune failed ideas first.

/research-wiki update <node_id> - <field>: <value>

Update a specific entity and then rebuild the compact artifacts:

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/research-wiki update paper:chen2025 - relevance: core
/research-wiki update idea:001 - outcome: negative
/research-wiki update claim:C1 - status: invalidated

After every update, rebuild query_pack.md and append to log.md.

/research-wiki lint

Health check the wiki:

1. orphan pages
2. stale claims
3. contradictory evidence
4. papers that probably need explicit links
5. dead ideas
6. sparse pages

Write the result to LINT_REPORT.md.

/research-wiki stats

Produce a quick project overview:

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Research Wiki Stats
Papers: 28
Ideas: 7
Experiments: 12
Claims: 15
Edges: 64

Operating Style

• Treat the wiki as a local source of truth for project memory.
• Keep entity pages readable by humans first, structured enough for scripted rebuilds second.
• Record failed ideas explicitly; they are valuable memory.
• Use canonical node IDs consistently.
• Append to log.md for every mutation.
• Keep query_pack.md deterministic and compact rather than open-ended.

Optional Diagnostic

If you want a rough coverage check for arXiv IDs mentioned in local project artifacts, run:

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bash scripts/verify_wiki_coverage.sh research-wiki/

This is diagnostic only. It should report gaps, not block the wiki.