Pith Number
pith:E7RDIIRR
pith:2017:E7RDIIRRWGU6NY7ESZEPJ5UV2W
not attested
not anchored
not stored
refs pending
Empirical Evaluation of Parallel Training Algorithms on Acoustic Modeling
arxiv:1703.05880 v2 · 2017-03-17 · cs.CL · cs.LG · cs.SD · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{E7RDIIRRWGU6NY7ESZEPJ5UV2W}
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
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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 | 2026-05-17T23:59:03.794350Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
27e2342231b1a9e6e3e49648f4f695d5a04b79c5245c4c60f2b4a6bec88fc7b6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/E7RDIIRRWGU6NY7ESZEPJ5UV2W \
| 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: 27e2342231b1a9e6e3e49648f4f695d5a04b79c5245c4c60f2b4a6bec88fc7b6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d74a9dc8eb7e68593e970a1c7e802f0b2e216f07b24deefab2f2959af789e098",
"cross_cats_sorted": [
"cs.LG",
"cs.SD",
"eess.AS"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2017-03-17T03:38:48Z",
"title_canon_sha256": "8418987141025d8d7026190e9b690bc0a4811e7c986eb9b594eeb311976e0b75"
},
"schema_version": "1.0",
"source": {
"id": "1703.05880",
"kind": "arxiv",
"version": 2
}
}