Pith Number
pith:HP7TPREF
pith:2017:HP7TPREF2M2MJL7Z6HJB6ZR4RS
not attested
not anchored
not stored
refs pending
Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition
arxiv:1707.06065 v1 · 2017-07-19 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HP7TPREF2M2MJL7Z6HJB6ZR4RS}
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 | 2026-05-18T00:39:57.677614Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3bff37c485d334c4aff9f1d21f663c8c90343704c6faa64c4213134c3e030e39
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HP7TPREF2M2MJL7Z6HJB6ZR4RS \
| 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: 3bff37c485d334c4aff9f1d21f663c8c90343704c6faa64c4213134c3e030e39
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fc45e077c468b968936477c2be9a1eba03bbb5f8f966fae9e749ca6d8468fd45",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2017-07-19T13:04:09Z",
"title_canon_sha256": "bbf9da3448dd427fd959b6ead470a4a9de7eac074707685ffc0c04d5abd3c5ba"
},
"schema_version": "1.0",
"source": {
"id": "1707.06065",
"kind": "arxiv",
"version": 1
}
}