Pith Number
pith:UHYVPZHT
pith:2023:UHYVPZHTVTJLVKG4JCB3LCUNK7
not attested
not anchored
not stored
refs pending
Accelerated Neural Network Training through Dimensionality Reduction for High-Throughput Screening of Topological Materials
arxiv:2308.12722 v1 · 2023-08-24 · cond-mat.mtrl-sci · cond-mat.str-el
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UHYVPZHTVTJLVKG4JCB3LCUNK7}
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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.
Receipt and verification
| First computed | 2026-07-05T06:44:17.342238Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a1f157e4f3acd2baa8dc4883b58a8d57f85e105e641ef3d2c880c04f503d24ba
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UHYVPZHTVTJLVKG4JCB3LCUNK7 \
| 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: a1f157e4f3acd2baa8dc4883b58a8d57f85e105e641ef3d2c880c04f503d24ba
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a39802d970ec41e31f91b639ab2e0b8ddab4e80c2c75f411493d79fec7aeadc5",
"cross_cats_sorted": [
"cond-mat.str-el"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2023-08-24T11:51:20Z",
"title_canon_sha256": "60e1fd789c0eaaa80ac8791fbb0fee094c911ae93ba38b7c9c4f3341019b352b"
},
"schema_version": "1.0",
"source": {
"id": "2308.12722",
"kind": "arxiv",
"version": 1
}
}