Pith Number
pith:BZ7FGCIA
pith:2019:BZ7FGCIA3Q7LJ77JR2OCCSSWVT
not attested
not anchored
not stored
refs pending
Recurrent Neural Networks in the Eye of Differential Equations
arxiv:1904.12933 v1 · 2019-04-29 · cs.LG · quant-ph · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BZ7FGCIA3Q7LJ77JR2OCCSSWVT}
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.
Receipt and verification
| First computed | 2026-05-17T23:47:24.432081Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0e7e530900dc3eb4ffe98e9c214a56acfedc2df6a09e5908cc782a69ead44633
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BZ7FGCIA3Q7LJ77JR2OCCSSWVT \
| 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: 0e7e530900dc3eb4ffe98e9c214a56acfedc2df6a09e5908cc782a69ead44633
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "58f6c69c8fadd70e3479f1d6a7b718ea033fee921cb231a3ba734370f359fecb",
"cross_cats_sorted": [
"quant-ph",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-04-29T20:16:20Z",
"title_canon_sha256": "4c48d54551514bf713a4ed214235675153a0a96bb6bf151b1f12436c4aa45012"
},
"schema_version": "1.0",
"source": {
"id": "1904.12933",
"kind": "arxiv",
"version": 1
}
}