Pith Number
pith:JR34JEXH
pith:2021:JR34JEXHKN7RUJ2JTYX7VCB45P
not attested
not anchored
not stored
refs pending
UniSpeech at scale: An Empirical Study of Pre-training Method on Large-Scale Speech Recognition Dataset
arxiv:2107.05233 v1 · 2021-07-12 · eess.AS
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JR34JEXHKN7RUJ2JTYX7VCB45P}
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 | 2026-07-05T02:57:00.860793Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4c77c492e7537f1a27499e2ffa883cebf6bfecf8ded84e55b088ad0494886405
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JR34JEXHKN7RUJ2JTYX7VCB45P \
| 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: 4c77c492e7537f1a27499e2ffa883cebf6bfecf8ded84e55b088ad0494886405
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "895852fb1b9a5ec29e325b80c2c115a414350f8db866bcb4eb4ff81d49567c02",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.AS",
"submitted_at": "2021-07-12T07:30:17Z",
"title_canon_sha256": "612d0385765f176249ae8465604aa6849035e023425a569e42faba312b9cb223"
},
"schema_version": "1.0",
"source": {
"id": "2107.05233",
"kind": "arxiv",
"version": 1
}
}