Pith Number
pith:LTP6WDAD
pith:2024:LTP6WDADSNU326ZRJJ67YU2WH3
not attested
not anchored
not stored
refs pending
Accelerating Discovery of Metal-Insulator Transition Compounds Using Physics-Informed Machine Learning
arxiv:2404.08653 v2 · 2024-03-21 · cond-mat.mtrl-sci · cond-mat.str-el
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LTP6WDADSNU326ZRJJ67YU2WH3}
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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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 | 2026-07-05T11:21:32.280573Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5cdfeb0c039369bd7b314a7dfc53563efbce7d4e96ffe1ea17e017787c94b5e5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LTP6WDADSNU326ZRJJ67YU2WH3 \
| 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: 5cdfeb0c039369bd7b314a7dfc53563efbce7d4e96ffe1ea17e017787c94b5e5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f630aa34119a157a49f4479fce3946647e6285acf1da79de58eb77b7e18b96b4",
"cross_cats_sorted": [
"cond-mat.str-el"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2024-03-21T00:55:15Z",
"title_canon_sha256": "4d24f4a97a4d9fad5f3315b9d66651b364a75806f0c1b9d4a9017705337c0e87"
},
"schema_version": "1.0",
"source": {
"id": "2404.08653",
"kind": "arxiv",
"version": 2
}
}