Pith Number
pith:YFUENBKH
pith:2016:YFUENBKHDARISQDV2E3IJUQNYS
not attested
not anchored
not stored
refs pending
ANI-1: An extensible neural network potential with DFT accuracy at force field computational cost
arxiv:1610.08935 v4 · 2016-10-27 · physics.chem-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YFUENBKHDARISQDV2E3IJUQNYS}
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 | 2026-05-18T00:51:05.571242Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c1684685471822894075d13684d20dc48146823bf6b2dcf1162048c2251e31a2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YFUENBKHDARISQDV2E3IJUQNYS \
| 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: c1684685471822894075d13684d20dc48146823bf6b2dcf1162048c2251e31a2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b296e3055994354f82d21a5e9da06577e167cf9b7682370ba17e118301914f6a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.chem-ph",
"submitted_at": "2016-10-27T19:07:23Z",
"title_canon_sha256": "9a78d8803b282211c3b2cb785af305c8b108034da2c50e148da89bb21eb6f0f3"
},
"schema_version": "1.0",
"source": {
"id": "1610.08935",
"kind": "arxiv",
"version": 4
}
}