Pith Number
pith:F65LQU76
pith:2026:F65LQU76GZCV4AT2NYUPSOGOI3
not attested
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not stored
refs pending
Predicting Physical and Physical-Chemical Properties of Molecular-Based Materials Using Computational Neural Networks
arxiv:2606.09560 v1 · 2026-06-08 · cond-mat.mtrl-sci · cond-mat.soft
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F65LQU76GZCV4AT2NYUPSOGOI3}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-06-09T02:08:55.696222Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2fbab853fe36455e027a6e28f938ce46dd758d6e6340cae44a8108afddc01d12
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F65LQU76GZCV4AT2NYUPSOGOI3 \
| 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: 2fbab853fe36455e027a6e28f938ce46dd758d6e6340cae44a8108afddc01d12
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "136f66e948c254bddcf7a405979607df4b1e53719c723440a707dd337a6d0c5a",
"cross_cats_sorted": [
"cond-mat.soft"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cond-mat.mtrl-sci",
"submitted_at": "2026-06-08T14:35:25Z",
"title_canon_sha256": "738436056f6f03d9b08ecb54460e7381437de3e70d41829275758f3933b4dcf3"
},
"schema_version": "1.0",
"source": {
"id": "2606.09560",
"kind": "arxiv",
"version": 1
}
}