Pith Number
pith:TMLWQPFB
pith:2016:TMLWQPFB5LAL2DBY52D7Y3IFPL
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Direct Method for Training Feed-forward Neural Networks using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions
arxiv:1605.03764 v1 · 2016-05-12 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TMLWQPFB5LAL2DBY52D7Y3IFPL}
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Record completeness
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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 | 2026-05-18T01:14:59.541514Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9b17683ca1eac0bd0c38ee87fc6d057ae5e7ecac706d3f7caba5ed057ef36f53
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TMLWQPFB5LAL2DBY52D7Y3IFPL \
| 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: 9b17683ca1eac0bd0c38ee87fc6d057ae5e7ecac706d3f7caba5ed057ef36f53
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b935b9f774de30e875a063255d98bbe28317289b8f05a2448a441a4af3f42211",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2016-05-12T11:39:14Z",
"title_canon_sha256": "b2919785744cd45744a34097949c07cfe1630b38fef5fdb9b71d3bee05be02f0"
},
"schema_version": "1.0",
"source": {
"id": "1605.03764",
"kind": "arxiv",
"version": 1
}
}