Pith Number
pith:LMNZSCCU
pith:2024:LMNZSCCUJXDGAAE5O6GUUJ57BV
not attested
not anchored
not stored
refs pending
Deep Learning Models for Colloidal Nanocrystal Synthesis
arxiv:2412.10838 v1 · 2024-12-14 · cond-mat.mtrl-sci · cs.AI · physics.app-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LMNZSCCUJXDGAAE5O6GUUJ57BV}
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
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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 | 2026-07-05T09:49:23.334325Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5b1b9908544dc660009d778d4a27bf0d512220347c05504265689938f726d150
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LMNZSCCUJXDGAAE5O6GUUJ57BV \
| 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: 5b1b9908544dc660009d778d4a27bf0d512220347c05504265689938f726d150
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0ef3744d47018f71d98a91b8d3931a82f320d30245a34752b970042e25b42f87",
"cross_cats_sorted": [
"cs.AI",
"physics.app-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2024-12-14T14:18:59Z",
"title_canon_sha256": "4680633f8b44c29310b5e8c5ca386a35ab88f444e36fa91a83e1f1798fed4159"
},
"schema_version": "1.0",
"source": {
"id": "2412.10838",
"kind": "arxiv",
"version": 1
}
}