Pith Number
pith:DLWLMC25
pith:2020:DLWLMC25VVPWKR6LSKJJIURCAA
not attested
not anchored
not stored
refs pending
Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks
arxiv:2010.04905 v2 · 2020-10-10 · cond-mat.mtrl-sci · cs.LG · physics.comp-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DLWLMC25VVPWKR6LSKJJIURCAA}
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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 | 2026-07-05T02:56:23.970844Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1aecb60b5dad5f6547cb92929452220036b38595d604ab0483d540031e120cd9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DLWLMC25VVPWKR6LSKJJIURCAA \
| 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: 1aecb60b5dad5f6547cb92929452220036b38595d604ab0483d540031e120cd9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c35fc406c5e2e7b88e10c61abd5fe1d78523f2c92ce7715ada52307c4b042d7a",
"cross_cats_sorted": [
"cs.LG",
"physics.comp-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2020-10-10T05:38:03Z",
"title_canon_sha256": "063df8bc7f4d71ff3d5bfd5932ae416ef94b8a5ddada208cc9134a74b6db99f4"
},
"schema_version": "1.0",
"source": {
"id": "2010.04905",
"kind": "arxiv",
"version": 2
}
}