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research-wiki

Persistent research knowledge base that accumulates papers, ideas, experiments, claims, and their relationships across the entire research lifecycle. Inspired by Karpathy's LLM Wiki pattern. Use when user says \"知识库\", \"research wiki\", \"add paper\", \"wiki query\", \"查知识库\", or wants to build/query a persistent field map.

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Atualizado há 2 meses

Ver no GitHub ↗ Licença: MIT

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Ler descrição completa

Research Wiki: Persistent Research Knowledge Base

Subcommand: $ARGUMENTS

Overview

The research wiki is a persistent, per-project knowledge base that accumulates structured knowledge across the entire ARIS research lifecycle. Unlike one-off literature surveys that are used and forgotten, the wiki compounds — every paper read, idea tested, experiment run, and review received makes the wiki smarter.

Inspired by Karpathy's LLM Wiki pattern: compile knowledge once, keep it current, don't re-derive on every query.

Core Concepts

Four Entity Types

| Entity | Directory | Node ID format | What it represents | |--------|-----------|---------------|--------------------| | Paper | papers/ | paper:<slug> | A published or preprint research paper | | Idea | ideas/ | idea:<id> | A research idea (proposed, tested, or failed) | | Experiment | experiments/ | exp:<id> | A concrete experiment run with results | | Claim | claims/ | claim:<id> | A testable scientific claim with evidence status |

Typed Relationships (graph/edges.jsonl)

| Edge type | From → To | Meaning | |-----------|-----------|---------| | extends | paper → paper | Builds on prior work | | contradicts | paper → paper | Disagrees with results/claims | | addresses_gap | paper\|idea → gap | Targets a known field gap | | inspired_by | idea → paper | Idea sourced from this paper | | tested_by | idea\|claim → exp | Tested in this experiment | | supports | exp → claim\|idea | Experiment confirms claim | | invalidates | exp → claim\|idea | Experiment disproves claim | | supersedes | paper → paper | Newer work replaces older |

Edges are stored in graph/edges.jsonl only. The ## Connections section on each page is auto-generated from the graph — never hand-edit it.

Wiki Directory Structure

research-wiki/
  index.md               # categorical index (auto-generated)
  log.md                 # append-only timeline
  gap_map.md             # field gaps with stable IDs (G1, G2, ...)
  query_pack.md          # compressed summary for /idea-creator (auto-generated, max 8000 chars)
  papers/
    <slug>.md            # one page per paper
  ideas/
    <idea_id>.md         # one page per idea
  experiments/
    <exp_id>.md          # one page per experiment
  claims/
    <claim_id>.md        # one page per testable claim
  graph/
    edges.jsonl          # materialized current relationship graph

Subcommands

/research-wiki init

Initialize the wiki for the current project:

  1. Create research-wiki/ directory structure
  2. Create empty index.md, log.md, gap_map.md
  3. Create empty graph/edges.jsonl
  4. Log: "Wiki initialized"

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

Add a paper to the wiki. This subcommand is thin wrapping around the canonical helper python3 "$ARIS_REPO/tools/research_wiki.py" ingest_paper …, which is the single implementation of paper ingest in ARIS (per [shared-references/integration-contract.md](../shared-references/integration-contract.md) — one helper, no copies). The helper does all of:

  1. Fetch metadata — queries the arXiv Atom API when --arxiv-id is given
  2. Generate slug — <first_author_last_name><year>_<keyword>
  3. Check dedup — skip an existing page unless --update-on-exist
  4. Create page — papers/<slug>.md with the schema below
  5. Rebuild index.md and query_pack.md
  6. Append log.md

Edge extraction (step 5/8 in the old manual flow) is not in ingest_paper; do it as a follow-up with add_edge per relationship identified:

ARIS_REPO="${ARIS_REPO:-$(awk -F'\t' '$1=="repo_root"{print $2; exit}' .aris/installed-skills-codex.txt 2>/dev/null)}"
WIKI_SCRIPT=""
[ -n "$ARIS_REPO" ] && [ -f "$ARIS_REPO/tools/research_wiki.py" ] && WIKI_SCRIPT="$ARIS_REPO/tools/research_wiki.py"
[ -z "$WIKI_SCRIPT" ] && [ -f tools/research_wiki.py ] && WIKI_SCRIPT="tools/research_wiki.py"
[ -z "$WIKI_SCRIPT" ] && [ -f ~/.codex/skills/research-wiki/research_wiki.py ] && WIKI_SCRIPT="$HOME/.codex/skills/research-wiki/research_wiki.py"

# arXiv-known paper
[ -n "$WIKI_SCRIPT" ] && python3 "$WIKI_SCRIPT" ingest_paper research-wiki/ \
    --arxiv-id 2501.12345 --thesis "One-line claim from abstract."

# Venue paper with no arXiv mirror
[ -n "$WIKI_SCRIPT" ] && python3 "$WIKI_SCRIPT" ingest_paper research-wiki/ \
    --title "Attention Is All You Need" \
    --authors "Ashish Vaswani, Noam Shazeer, …" --year 2017 --venue "NeurIPS"

# Manual edge after ingest
[ -n "$WIKI_SCRIPT" ] && python3 "$WIKI_SCRIPT" 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 …"

Other skills (/research-lit, /arxiv, /alphaxiv, /deepxiv, /semantic-scholar, /exa-search) call the same helper directly in their own last step — they don't re-route through /research-wiki ingest as a subcommand, so they don't need an LLM roundtrip.

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

Batch backfill: ingest one or more arXiv IDs that were read earlier without being ingested (e.g., because research-wiki/ was set up after the reading happened, or a hook didn't fire).

# Explicit list
[ -n "$WIKI_SCRIPT" ] && python3 "$WIKI_SCRIPT" sync research-wiki/ \
    --arxiv-ids 2310.06770,1706.03762

# From a file (one id per line, # comments ok)
[ -n "$WIKI_SCRIPT" ] && python3 "$WIKI_SCRIPT" sync research-wiki/ --from-file ids.txt

Dedup is handled per-id; already-ingested papers are skipped silently. This is the recommended manual repair step (see integration contract §5 Backfill). sync does not scan session traces — callers declare the ids explicitly.

Paper page schema (exactly what ingest_paper emits — do not handwrite alternative fields; lint will flag drift):

---
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

[Single sentence capturing the paper's core contribution]

## Problem / Gap

## Method

## Key Results

## Assumptions

## Limitations / Failure Modes

## Reusable Ingredients

[Techniques, datasets, or insights that could be repurposed]

## Open Questions

## Claims

[Reference claim pages: claim:C1, claim:C2, etc.]

## Connections

[AUTO-GENERATED from graph/edges.jsonl — do not edit manually]

## Relevance to This Project

[Why this paper matters for our specific research direction]

_Additionally, when the paper was ingested via --arxiv-id and the arXiv API returned an abstract, the helper appends an ## Abstract (original) section after Relevance to This Project containing the raw abstract text as a blockquote. Manual ingests (no --arxiv-id) do not include this section._

/research-wiki query "<topic>"

Generate query_pack.md — a compressed, context-window-friendly summary:

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

| Section | Budget | Content | |---------|--------|---------| | Project direction | 300 chars | From AGENTS.md or RESEARCH_BRIEF.md | | Top 5 gaps | 1200 chars | From gap_map.md, ranked by: unresolved + linked ideas + failed experiments | | Paper clusters | 1600 chars | 3-5 clusters by tag overlap, 2-3 sentences each | | Failed ideas | 1400 chars | Always included — highest anti-repetition value | | Top papers | 1800 chars | 8-12 pages ranked by: linked gaps, linked ideas, centrality, relevance flag | | Active chains | 900 chars | limitation → opportunity relationship chains | | Open unknowns | 500 chars | Unresolved questions across the wiki |

Pruning priority (when over budget): low-ranked papers > cluster detail >

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