Pith Number
pith:3LU7AO67
pith:2024:3LU7AO672AXN522AFWKQSCJSES
not attested
not anchored
not stored
refs pending
A deep learning approach to search for superconductors from electronic bands
arxiv:2409.07721 v1 · 2024-09-12 · cond-mat.supr-con · cond-mat.mtrl-sci
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3LU7AO672AXN522AFWKQSCJSES}
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 | 2026-07-05T12:05:10.035415Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dae9f03bdfd02edeeb402d9509093224a4aacbfe9712587bba343628e73f304d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3LU7AO672AXN522AFWKQSCJSES \
| 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: dae9f03bdfd02edeeb402d9509093224a4aacbfe9712587bba343628e73f304d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8ec2cd232e8fa0263054464c4561630b1fc004147550a1628899f6bbfb7f2496",
"cross_cats_sorted": [
"cond-mat.mtrl-sci"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cond-mat.supr-con",
"submitted_at": "2024-09-12T03:02:59Z",
"title_canon_sha256": "8691d5c8bd901d72d538095c78bf90abfbfc23701ae858b3fad53ea8bcc86f71"
},
"schema_version": "1.0",
"source": {
"id": "2409.07721",
"kind": "arxiv",
"version": 1
}
}