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64 changes: 64 additions & 0 deletions skills/research/arxiv-citation-manager/SKILL.md
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---
name: arxiv-citation-manager
description: High-precision ArXiv metadata extraction and BibTeX generation. Handles ArXiv API quirks, XML namespaces, and ID versioning (v1/v2).
version: 1.0.0
author: community
license: MIT
dependencies: [requests, lxml]

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⚠️ Warning — lxml listed as dependency but never used. The script only uses xml.etree.ElementTree from the stdlib. Remove lxml from this list to avoid a misleading (and unnecessary) C-extension install requirement.

metadata:
hermes:
tags: [Research, ArXiv, BibTeX, Citations, API, XML]
---

# ArXiv Citation Manager

This skill encodes **operational knowledge about ArXiv’s API semantics and XML structure** that cannot be reliably inferred through prompting alone. It provides defensive engineering patterns for verifiable metadata extraction, deterministic BibTeX generation, and automated error recovery.

## Why This Skill Must Exist (Failure Mode Comparison)

| Scenario | Default Agent Failure | **ArXiv Citation Manager Guarantee** |
| :--- | :--- | :--- |
| **XML Parsing** | Loses XML namespaces → empty author list or summary. | **Namespace-aware parsing** for Atom and arXiv schemas. |
| **ID Versioning** | Drops version suffix (e.g., `v1`) or confuses it with main paper. | **Version-preserving canonical IDs** for specific branch citations. |
| **BibTeX Format** | Hallucinates keys or misformats author separation (`and`). | **Deterministic BibTeX generation** with verified field mapping. |
| **503 Errors** | Loops on failure or ignores `Retry-After` logic. | **Exponential backoff** for robust recovery during high load. |
| **Hallucination** | Invent IDs or metadata from training memory. | **Verifiable output** sourced directly from the live ArXiv Export API. |

## When to Use This Skill

- **Generating Citations**: When you need a perfect BibTeX entry for a paper.
- **Verifying IDs**: When a user provides an ArXiv ID and you need to confirm its title/authors.
- **Version Tracking**: When you need to know if a paper has multiple versions (e.g., `2401.00001v1` vs `2401.00001v2`).
- **Batch Metadata**: When fetching metadata for multiple papers simultaneously.

## Non-Obvious Knowledge (API Quirks)

### 1. XML Namespaces
The ArXiv API uses multiple XML namespaces (Atom, arXiv, opensearch). Simple regex or string parsing will fail on these. Always use an XML parser with namespace support.
- Atom: `http://www.w3.org/2005/Atom`
- ArXiv: `http://arxiv.org/schemas/atom`

### 2. ID Versioning
- `arxiv.org/abs/1706.03762` always points to the **latest** version.
- `arxiv.org/abs/1706.03762v1` points to a **specific** version.
- When generating BibTeX, it is best practice to cite the version you actually read.

### 3. Rate Limiting
ArXiv strictly enforces a **3-second delay** between API requests. The included script handles this, but manual web searches should also be paced.

## Workflow: Verifying a Paper

1. **Extract ID**: Identify the ArXiv ID from the user's request (e.g., `1706.03762`).
2. **Fetch Metadata**: Use `scripts/verify_arxiv.py` to get structured JSON/BibTeX.
3. **Cross-Check**: If the DOI is available in the metadata, use it to verify the publisher version via CrossRef.

## Usage Examples

- "Get the BibTeX for ArXiv paper 2303.08774."
- "What is the latest version of the 'Attention is All You Need' paper?"
- "Check if ArXiv ID 2402.12345 exists and give me the author list."

## Reference Files

- [api_quirks.md](references/api_quirks.md) - Deep dive into ArXiv API behavior.
- [verify_arxiv.py](scripts/verify_arxiv.py) - Robust Python utility for metadata.
60 changes: 60 additions & 0 deletions skills/research/arxiv-citation-manager/references/api_quirks.md
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# ArXiv API Quirks & Technical Deep Dive

The ArXiv Export API is powerful but has several "gotchas" that can lead to bugs in agentic workflows. This document outlines those quirks and how to handle them.

## 1. The XML Namespace Problem

ArXiv uses a mix of standard Atom and custom ArXiv XML namespaces. A common mistake is using generic XML parsers without namespace awareness, which results in `None` when searching for tags.

**Correct Handling (Python):**
```python
NAMESPACES = {
'atom': 'http://www.w3.org/2005/Atom',
'arxiv': 'http://arxiv.org/schemas/atom'
}
# Find the title using the namespace map
title = entry.find('atom:title', NAMESPACES)
```

## 2. Rate Limiting and 503 Handling (Defensive Engineering)

ArXiv strictly requests that users **not make more than one request every 3 seconds**. Failure to respect this leads to `503 Service Unavailable` errors.

**Defensive Implementation:**
The included `verify_arxiv.py` script implements **Exponential Backoff**:
- **Attempt 1**: Initial 4s delay on 503.
- **Attempt 2**: 5s delay on 503.
- **Attempt 3**: 7s delay on 503.
This ensures the agent doesn't enter a "tight loop" of failure, which is a common pitfall in naive agentic integrations.

## 3. ID Versioning and Canonicalization

ArXiv IDs are immutable *per version*, but the base ID is a moving target.
- **Canonical ID**: `1706.03762` -> Always the latest.
- **Versioned ID**: `1706.03762v1` -> Immutable snapshot.
**Skill Guarantee**: The skill preserves version suffixes during metadata extraction to ensure that citations point to the exact document the agent processed, preventing "citation drift" where a later version might invalidate the agent's summary of an earlier one.

## 4. Withdrawn Papers

When a paper is withdrawn, the summary field in the API often contains a "Withdrawn" notice.
- **Bug**: Some parsers might treat the paper as "active" but find empty metadata fields.
- **Detection**: Check the `arxiv:comment` or `atom:summary` for strings like "withdrawn" or "retracted".

## 5. Submitting for Multi-ID Fetching

Instead of calling the API 10 times for 10 papers:
```
http://export.arxiv.org/api/query?id_list=ID1,ID2,ID3...
```
This is significantly more efficient and respects the rate limit.

## 6. Opensearch Metadata

The API response includes `opensearch:totalResults`. In a search-based query (rather than an ID-based one), this field is critical for pagination.

```xml
<opensearch:totalResults>1240</opensearch:totalResults>
<opensearch:startIndex>0</opensearch:startIndex>
<opensearch:itemsPerPage>10</opensearch:itemsPerPage>
```
Always check `totalResults` to decide if more pages need to be fetched.
116 changes: 116 additions & 0 deletions skills/research/arxiv-citation-manager/scripts/verify_arxiv.py
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import sys
import time
import requests
import xml.etree.ElementTree as ET
import json

# ArXiv API namespaces
NAMESPACES = {
'atom': 'http://www.w3.org/2005/Atom',
'arxiv': 'http://arxiv.org/schemas/atom'
}

def fetch_arxiv_metadata(arxiv_id, max_retries=3):
"""
Fetches paper metadata using the ArXiv Export API.
Handles XML namespaces, rate limiting, and implements exponential backoff for 503s.
"""
url = f'http://export.arxiv.org/api/query?id_list={arxiv_id}'

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⚠️ Warning — use HTTPS. The ArXiv Export API supports HTTPS. Using plain HTTP exposes responses to MITM interception. Change to: url = f'https://export.arxiv.org/api/query?id_list={arxiv_id}'


for attempt in range(max_retries):
try:
response = requests.get(url)

# Handle 503 Service Unavailable (Retry with exponential backoff)
if response.status_code == 503:
wait_time = (2 ** attempt) + 3 # 4s, 5s, 7s...
print(f"Warning: 503 Service Unavailable. Retrying in {wait_time}s...", file=sys.stderr)
time.sleep(wait_time)
continue

response.raise_for_status()

# Parse XML
root = ET.fromstring(response.content)
entry = root.find('atom:entry', NAMESPACES)

if entry is None or entry.find('atom:title', NAMESPACES).text.strip() == 'Error':

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🔴 Critical — AttributeError if title element is absent. entry is None guards against a missing wrapper, but if atom:title itself is missing, .text on the None return from .find() raises AttributeError. Same risk on the explicit extractions below (lines 41-44, 53). Suggestion: title_el = entry.find('atom:title', NAMESPACES); if title_el is None: return {'error': ...}

return {"error": f"Paper ID '{arxiv_id}' not found or invalid."}

# Extract fields
title = entry.find('atom:title', NAMESPACES).text.strip().replace('\n', ' ')
summary = entry.find('atom:summary', NAMESPACES).text.strip().replace('\n', ' ')
published = entry.find('atom:published', NAMESPACES).text
updated = entry.find('atom:updated', NAMESPACES).text

doi = None
for link in entry.findall('atom:link', NAMESPACES):
if link.attrib.get('title') == 'doi':
doi = link.attrib.get('href').replace('http://dx.doi.org/', '')

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⚠️ Warning — DOI pattern only matches old HTTP resolver. ArXiv now returns https://doi.org/ style URLs. This .replace('http://dx.doi.org/', '') will silently no-op for modern DOI URLs and return the full URL as the DOI string. Fix: strip both prefixes or parse the URL path directly.


authors = []
for author in entry.findall('atom:author', NAMESPACES):
name = author.find('atom:name', NAMESPACES).text
authors.append(name)

links = []
for link in entry.findall('atom:link', NAMESPACES):
links.append(link.attrib.get('href'))

metadata = {
"arxiv_id": arxiv_id,
"title": title,
"authors": authors,
"published": published,
"updated": updated,
"doi": doi,
"summary": summary,
"links": links
}

return metadata

except Exception as e:
if attempt == max_retries - 1:
return {"error": f"Failed after {max_retries} attempts: {str(e)}"}
time.sleep(1) # Small delay for other transient errors

return {"error": "Unknown failure during metadata fetch."}

def generate_bibtex(metadata):
"""Generates a formatted BibTeX entry from metadata."""
if "error" in metadata:
return ""

cite_key = f"{metadata['authors'][0].split()[-1]}{metadata['published'][:4]}{metadata['arxiv_id'].split('.')[0]}"
authors_str = " and ".join(metadata['authors'])

bibtex = f"""@article{{{cite_key},
title = {{{metadata['title']}}},
author = {{{authors_str}}},
year = {{{metadata['published'][:4]}}},
eprint = {{{metadata['arxiv_id']}}},
archivePrefix = {{arXiv}},
primaryClass = {{cs.LG}},
url = {{{metadata['links'][0]}}}

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🔴 Critical — hardcoded category produces wrong BibTeX for most papers. cs.LG is baked in regardless of the paper's actual field. Every math, physics, econ, or bio paper gets incorrect BibTeX. Fix: extract arxiv:primary_category from the API response, add it to the metadata dict, and use metadata.get('primary_category','') here.

}}"""
return bibtex

if __name__ == "__main__":
if len(sys.argv) < 2:
print("Usage: python verify_arxiv.py <arxiv_id>")
sys.exit(1)

arxiv_id = sys.argv[1].strip()

# Enforce ArXiv rate limit (3s delay)
# Note: In a real agentic workflow, the agent would wait or this script handles it.

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⚠️ Warning — promised rate-limit delay is missing. The comment above says "Enforce ArXiv rate limit (3s delay)" but there is no time.sleep(3) call. In batch/loop usage this silently violates ArXiv's rate policy. Add time.sleep(3) before the fetch_arxiv_metadata call, or document that callers are responsible.

metadata = fetch_arxiv_metadata(arxiv_id)

if "error" in metadata:
print(json.dumps(metadata, indent=2))
else:
print("--- Metadata ---")
print(json.dumps(metadata, indent=2))
print("\n--- BibTeX ---")
print(generate_bibtex(metadata))