Pith Number
pith:MPYHSGHJ
pith:2023:MPYHSGHJQ7WRDRFLODUFTNWVSS
not attested
not anchored
not stored
refs pending
Can Large Language Models Empower Molecular Property Prediction?
arxiv:2307.07443 v1 · 2023-07-14 · cs.LG · cs.AI · q-bio.QM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MPYHSGHJQ7WRDRFLODUFTNWVSS}
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
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4
Citations
5
Replications
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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 | 2026-07-05T06:30:55.748399Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
63f07918e987ed11c4ab70e859b6d594a83e228e8ace1bea968edd18d75a2abe
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MPYHSGHJQ7WRDRFLODUFTNWVSS \
| 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: 63f07918e987ed11c4ab70e859b6d594a83e228e8ace1bea968edd18d75a2abe
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b55979f8c02709794d0614847e95cdaaec86e9cfb477fbdd566f76895cffb12f",
"cross_cats_sorted": [
"cs.AI",
"q-bio.QM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-07-14T16:06:42Z",
"title_canon_sha256": "1b8bd09d1b895a9a3068d55e5562bbbb8856b3dc72ac454569c0722b85722d04"
},
"schema_version": "1.0",
"source": {
"id": "2307.07443",
"kind": "arxiv",
"version": 1
}
}