Pith Number
pith:MVLYFWKT
pith:2021:MVLYFWKTBIPQNE7FNBWWI2P5M5
not attested
not anchored
not stored
refs pending
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation
arxiv:2109.04588 v1 · 2021-09-09 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MVLYFWKTBIPQNE7FNBWWI2P5M5}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T03:13:07.408013Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
655782d9530a1f0693e5686d6469fd676b227f8962e874f07334e94f4f33d3c5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MVLYFWKTBIPQNE7FNBWWI2P5M5 \
| 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: 655782d9530a1f0693e5686d6469fd676b227f8962e874f07334e94f4f33d3c5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9fb9a3abfde163781703dafeb6a1629897dd47992092a7ea7a3085067cf5d202",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2021-09-09T23:43:41Z",
"title_canon_sha256": "9a3c17db7479d5a42acb784bf25f79decbbcff75db62a0b1559f2e18ddf16d51"
},
"schema_version": "1.0",
"source": {
"id": "2109.04588",
"kind": "arxiv",
"version": 1
}
}