Pith Number
pith:D33WY4OV
pith:2025:D33WY4OVJFOOKS7LFKN3FQV3FM
not attested
not anchored
not stored
refs pending
A Theoretical Analysis of Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition
arxiv:2505.02627 v1 · 2025-05-05 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D33WY4OVJFOOKS7LFKN3FQV3FM}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
· sign in to
claim
4
Citations
5
Replications
✓
Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T10:58:40.564229Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1ef76c71d5495ce54beb2a9bb2c2bb2b3b264ac90545a9b32c6072023b0b48e3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D33WY4OVJFOOKS7LFKN3FQV3FM \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 1ef76c71d5495ce54beb2a9bb2c2bb2b3b264ac90545a9b32c6072023b0b48e3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9323bbcec2c54dab856597c644e6b936a9d1133497bbbbe738f64b89ef58c9ae",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-05T13:13:46Z",
"title_canon_sha256": "6a634f5e31a3e16c4f72cb8bb1c57f5efb3debcf748e80b50c662d48f706df95"
},
"schema_version": "1.0",
"source": {
"id": "2505.02627",
"kind": "arxiv",
"version": 1
}
}