shaun-z/deepxiv

DeepXiv Paper Search & Progressive Reading

Search topic or paper ID: $ARGUMENTS

Role & Positioning

DeepXiv is the progressive-reading literature source:

| Skill | Best for | |------|----------| | /arxiv | Direct preprint search and PDF download | | /deepxiv | Layered reading: search → brief → head → section |

Use DeepXiv when you want to inspect papers incrementally instead of loading the full text immediately.

Constants

• FETCH_SCRIPT — tools/deepxiv_fetch.py relative to the current project. If unavailable, fall back to the raw deepxiv CLI.
• MAX_RESULTS = 10 — Default number of search results.

Overrides (append to arguments):

• /deepxiv "agent memory" - max: 5
• /deepxiv "2409.05591" - brief
• /deepxiv "2409.05591" - head
• /deepxiv "2409.05591" - section: Introduction
• /deepxiv "trending" - days: 14 - max: 10
• /deepxiv "karpathy" - web
• /deepxiv "258001" - sc

Setup

DeepXiv is optional:

pip install deepxiv-sdk

On first use, deepxiv auto-registers a free token and stores it in ~/.env.

Workflow

Step 1: Parse Arguments

Parse $ARGUMENTS for:

• a paper topic, arXiv ID, or Semantic Scholar ID
• - max: N
• - brief
• - head
• - section: NAME
• - trending
• - days: 7|14|30
• - web
• - sc

If the input looks like an arXiv ID and no explicit mode is provided, default to brief.

Step 2: Prefer the Adapter

python3 tools/deepxiv_fetch.py --help

If the adapter is unavailable, fall back to raw deepxiv commands.

Step 3: Execute the Minimal Command

python3 tools/deepxiv_fetch.py search "QUERY" --max MAX_RESULTS
python3 tools/deepxiv_fetch.py paper-brief ARXIV_ID
python3 tools/deepxiv_fetch.py paper-head ARXIV_ID
python3 tools/deepxiv_fetch.py paper-section ARXIV_ID "SECTION_NAME"
python3 tools/deepxiv_fetch.py trending --days 7 --max MAX_RESULTS
python3 tools/deepxiv_fetch.py wsearch "QUERY"
python3 tools/deepxiv_fetch.py sc "SEMANTIC_SCHOLAR_ID"

Fallbacks:

deepxiv search "QUERY" --limit MAX_RESULTS --format json
deepxiv paper ARXIV_ID --brief --format json
deepxiv paper ARXIV_ID --head --format json
deepxiv paper ARXIV_ID --section "SECTION_NAME" --format json
deepxiv trending --days 7 --limit MAX_RESULTS --output json
deepxiv wsearch "QUERY" --output json
deepxiv sc "SEMANTIC_SCHOLAR_ID" --output json

Step 4: Present Results

For search results, present a compact literature table. For paper reads, summarize the title, authors, date, TLDR, and the next recommended depth step.

Step 5: Escalate Depth Only When Needed

Use the progression:

1. search
2. paper-brief
3. paper-head
4. paper-section

Only read the full paper when the user explicitly needs it.

Key Rules

• Prefer the adapter script over raw deepxiv commands when available.
• If DeepXiv is missing, give the install command and suggest /arxiv or /research-lit "topic" - sources: web.
• Use DeepXiv as an additive source, not a replacement for existing ARIS literature tooling.