Pith Number
pith:FDYCWLGE
pith:2023:FDYCWLGEK72SHF7VOMNOJRLDXT
not attested
not anchored
not stored
refs pending
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
arxiv:2305.18365 v3 · 2023-05-27 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FDYCWLGEK72SHF7VOMNOJRLDXT}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T07:28:28.324234Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
28f02b2cc457f52397f5731ae4c563bcc1775ffd3a95abc7cf9dfa359caf9516
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FDYCWLGEK72SHF7VOMNOJRLDXT \
| 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: 28f02b2cc457f52397f5731ae4c563bcc1775ffd3a95abc7cf9dfa359caf9516
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1d0620d2ca042183bb9ee83f70a65413670835ea5c8dea9f85db5431aec4b70e",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-05-27T14:17:33Z",
"title_canon_sha256": "229d1b1325bc40663bc6173851bebb667a4a3e13871d409add2fc542ca75de13"
},
"schema_version": "1.0",
"source": {
"id": "2305.18365",
"kind": "arxiv",
"version": 3
}
}