Pith Number
pith:ULFF2EF6
pith:2018:ULFF2EF6BSK4OG5H2SBXAG7N4G
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refs pending
Comparing heterogeneous entities using artificial neural networks of trainable weighted structural components and machine-learned activation functions
arxiv:1801.03143 v1 · 2018-01-09 · stat.ML · cs.AI · cs.IR · cs.LG · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ULFF2EF6BSK4OG5H2SBXAG7N4G}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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 | 2026-05-18T00:26:18.897091Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a2ca5d10be0c95c71ba7d483701bede1bd73782a6e5e2262abd330a5e9385c98
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ULFF2EF6BSK4OG5H2SBXAG7N4G \
| 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: a2ca5d10be0c95c71ba7d483701bede1bd73782a6e5e2262abd330a5e9385c98
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4a03afbb8b4efddc75b1f2e7d6dcfcb3d5aa0458a70c46f0017375e11186b85c",
"cross_cats_sorted": [
"cs.AI",
"cs.IR",
"cs.LG",
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-01-09T21:20:08Z",
"title_canon_sha256": "11ba7736b50184648fb6973da450c3a2fdf198cd6aebda48c3a4dd3b892f33bb"
},
"schema_version": "1.0",
"source": {
"id": "1801.03143",
"kind": "arxiv",
"version": 1
}
}