Pith Number
pith:YXQQPLRH
pith:2020:YXQQPLRHTPJBH3NB5QFHUH4MNS
not attested
not anchored
not stored
refs pending
Directed Graph Attention Neural Network Utilizing 3D Coordinates for Molecular Property Prediction
arxiv:2012.00404 v1 · 2020-12-01 · cs.LG · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YXQQPLRHTPJBH3NB5QFHUH4MNS}
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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claim
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 | 2026-07-05T01:55:35.963605Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c5e107ae279bd213eda1ec0a7a1f8c6c916e52f81acadd347f27437753318a22
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YXQQPLRHTPJBH3NB5QFHUH4MNS \
| 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: c5e107ae279bd213eda1ec0a7a1f8c6c916e52f81acadd347f27437753318a22
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c6af0552667ebdfa84bf08e08bc37bfc583925149ff3397886e79c12cc7aadd3",
"cross_cats_sorted": [
"cond-mat.mtrl-sci"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-12-01T11:06:40Z",
"title_canon_sha256": "94fd598fffe1fbf151af6ea3cbddf75ef3a3abf1f285709bcc686cf6e79b734b"
},
"schema_version": "1.0",
"source": {
"id": "2012.00404",
"kind": "arxiv",
"version": 1
}
}