Pith Number
pith:ZQCSVUP7
pith:2018:ZQCSVUP7AEHX4OBMXLDF4H6O24
not attested
not anchored
not stored
refs pending
Machine learning density functional theory for the Hubbard model
arxiv:1810.12700 v1 · 2018-10-30 · cond-mat.str-el
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZQCSVUP7AEHX4OBMXLDF4H6O24}
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
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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 | 2026-05-17T23:53:24.896921Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cc052ad1ff010f7e382cbac65e1fced70625c384e0dc350d6007ed3097e97c26
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZQCSVUP7AEHX4OBMXLDF4H6O24 \
| 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: cc052ad1ff010f7e382cbac65e1fced70625c384e0dc350d6007ed3097e97c26
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "630664c42d7f481a23a387e893eb572b2dfaa3cd1d084d097c9552a67d125871",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cond-mat.str-el",
"submitted_at": "2018-10-30T12:27:27Z",
"title_canon_sha256": "6563f32098cf2355a31239fec1bba9b17f04f5800de1f45a462a001cf0825f22"
},
"schema_version": "1.0",
"source": {
"id": "1810.12700",
"kind": "arxiv",
"version": 1
}
}