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feat: implement robust arxiv-citation-manager skill with defensive engineering #88
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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] | ||
| metadata: | ||
| hermes: | ||
| tags: [Research, ArXiv, BibTeX, Citations, API, XML] | ||
| --- | ||
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| # ArXiv Citation Manager | ||
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| 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. | ||
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| ## Why This Skill Must Exist (Failure Mode Comparison) | ||
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| | 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. | | ||
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| ## When to Use This Skill | ||
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| - **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. | ||
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| ## Non-Obvious Knowledge (API Quirks) | ||
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| ### 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` | ||
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| ### 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. | ||
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| ### 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. | ||
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| ## Workflow: Verifying a Paper | ||
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| 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. | ||
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| ## Usage Examples | ||
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| - "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." | ||
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| ## Reference Files | ||
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| - [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. | ||
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| # ArXiv API Quirks & Technical Deep Dive | ||
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| 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. | ||
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| ## 1. The XML Namespace Problem | ||
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| 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. | ||
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| **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) | ||
| ``` | ||
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| ## 2. Rate Limiting and 503 Handling (Defensive Engineering) | ||
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| ArXiv strictly requests that users **not make more than one request every 3 seconds**. Failure to respect this leads to `503 Service Unavailable` errors. | ||
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| **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. | ||
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| ## 3. ID Versioning and Canonicalization | ||
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| 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. | ||
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| ## 4. Withdrawn Papers | ||
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| 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". | ||
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| ## 5. Submitting for Multi-ID Fetching | ||
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| 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. | ||
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| ## 6. Opensearch Metadata | ||
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| The API response includes `opensearch:totalResults`. In a search-based query (rather than an ID-based one), this field is critical for pagination. | ||
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| ```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. |
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| import sys | ||
| import time | ||
| import requests | ||
| import xml.etree.ElementTree as ET | ||
| import json | ||
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| # ArXiv API namespaces | ||
| NAMESPACES = { | ||
| 'atom': 'http://www.w3.org/2005/Atom', | ||
| 'arxiv': 'http://arxiv.org/schemas/atom' | ||
| } | ||
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| 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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| for attempt in range(max_retries): | ||
| try: | ||
| response = requests.get(url) | ||
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| # 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 | ||
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| response.raise_for_status() | ||
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| # Parse XML | ||
| root = ET.fromstring(response.content) | ||
| entry = root.find('atom:entry', NAMESPACES) | ||
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| if entry is None or entry.find('atom:title', NAMESPACES).text.strip() == 'Error': | ||
|
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 🔴 Critical — AttributeError if title element is absent. |
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| return {"error": f"Paper ID '{arxiv_id}' not found or invalid."} | ||
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| # 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 | ||
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| 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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| authors = [] | ||
| for author in entry.findall('atom:author', NAMESPACES): | ||
| name = author.find('atom:name', NAMESPACES).text | ||
| authors.append(name) | ||
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| links = [] | ||
| for link in entry.findall('atom:link', NAMESPACES): | ||
| links.append(link.attrib.get('href')) | ||
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| metadata = { | ||
| "arxiv_id": arxiv_id, | ||
| "title": title, | ||
| "authors": authors, | ||
| "published": published, | ||
| "updated": updated, | ||
| "doi": doi, | ||
| "summary": summary, | ||
| "links": links | ||
| } | ||
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| return metadata | ||
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| 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 | ||
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| return {"error": "Unknown failure during metadata fetch."} | ||
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| def generate_bibtex(metadata): | ||
| """Generates a formatted BibTeX entry from metadata.""" | ||
| if "error" in metadata: | ||
| return "" | ||
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| cite_key = f"{metadata['authors'][0].split()[-1]}{metadata['published'][:4]}{metadata['arxiv_id'].split('.')[0]}" | ||
| authors_str = " and ".join(metadata['authors']) | ||
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| 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]}}} | ||
|
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. 🔴 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. |
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| }}""" | ||
| return bibtex | ||
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| if __name__ == "__main__": | ||
| if len(sys.argv) < 2: | ||
| print("Usage: python verify_arxiv.py <arxiv_id>") | ||
| sys.exit(1) | ||
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| arxiv_id = sys.argv[1].strip() | ||
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| # 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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| metadata = fetch_arxiv_metadata(arxiv_id) | ||
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| 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)) | ||
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xml.etree.ElementTreefrom the stdlib. Removelxmlfrom this list to avoid a misleading (and unnecessary) C-extension install requirement.