awesome-trustworthy-deep-learning: Instructions file for Codex

AGENTS.md

Project Context

This repository is a curated Awesome list for trustworthy deep learning papers. The main paper file for Codex-assisted updates is:

• README.md: the primary curated paper list shown on GitHub.

Do not edit FULL_LIST.md during the default arXiv-paper workflow unless the user explicitly asks for a full-list update. Preserve the current Markdown style, table of contents, badges, image links, and non-paper resource sections unless the user explicitly asks to edit them.

Default Task: Add an arXiv Paper

When the user gives an arXiv abstract link and asks to use this project's agent instructions, add the paper end-to-end unless it is already present.

1. Normalize the arXiv ID

• Accept https://arxiv.org/abs/<id>, http://arxiv.org/abs/<id>, and arXiv PDF links.
• Canonicalize the list URL to https://arxiv.org/abs/<base-id>.
• Strip version suffixes such as v2 from the list URL unless the user explicitly asks to track a specific version.
• Prefer modern IDs like 2507.16795; handle legacy IDs only when needed.

2. Fetch Metadata Reproducibly

Use the arXiv Atom API as the primary source, not ad hoc scraping of the HTML page. A reliable read-only helper is:

python3 - "$ARXIV_ID" <<'PY'
import json
import re
import sys
import time
import urllib.parse
import urllib.request
import xml.etree.ElementTree as ET
from urllib.error import HTTPError, URLError

raw = sys.argv[1]
match = re.search(r'([a-z-]+/)?\d{4}\.\d{4,5}(?:v\d+)?|[a-z-]+(?:\.[A-Z]{2})?/\d{7}(?:v\d+)?', raw)
if not match:
    raise SystemExit(f"Could not find an arXiv id in: {raw}")

paper_id = re.sub(r'v\d+$', '', match.group(0))
url = 'https://export.arxiv.org/api/query?' + urllib.parse.urlencode({'id_list': paper_id})
request = urllib.request.Request(
    url,
    headers={'User-Agent': 'awesome-trustworthy-deep-learning-agent/1.0'},
)
for attempt in range(2):
    try:
        with urllib.request.urlopen(request, timeout=30) as response:
            data = response.read()
        break
    except HTTPError as exc:
        if exc.code == 429 and attempt == 0:
            time.sleep(10)
            continue
        raise SystemExit(f"arXiv API request failed with HTTP {exc.code}: {exc.reason}") from exc
    except URLError as exc:
        raise SystemExit(f"arXiv API request failed: {exc.reason}") from exc

ns = {'atom': 'http://www.w3.org/2005/Atom', 'arxiv': 'http://arxiv.org/schemas/atom'}
root = ET.fromstring(data)
entry = root.find('atom:entry', ns)
if entry is None:
    raise SystemExit(f"No arXiv API entry found for: {paper_id}")

def text(path):
    node = entry.find(path, ns)
    return '' if node is None or node.text is None else ' '.join(node.text.split())

authors = [text_node.text.strip() for text_node in entry.findall('atom:author/atom:name', ns)]
primary = entry.find('arxiv:primary_category', ns)
categories = [node.attrib.get('term', '') for node in entry.findall('atom:category', ns)]

print(json.dumps({
    'id': paper_id,
    'url': f'https://arxiv.org/abs/{paper_id}',
    'title': text('atom:title'),
    'authors': authors,
    'published': text('atom:published'),
    'updated': text('atom:updated'),
    'primary_category': '' if primary is None else primary.attrib.get('term', ''),
    'categories': categories,
    'abstract': text('atom:summary'),
}, indent=2, ensure_ascii=False))
PY