Pith Number
pith:VNNUH3EO
pith:2026:VNNUH3EO6V37XHFXAWHDIEUR6X
not attested
not anchored
not stored
refs pending
Efficient Multilingual Neural Machine Translation via Corpus-Driven Vocabulary Pruning: An English-Arabic Case Study
arxiv:2608.03480 v1 · 2026-08-04 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VNNUH3EO6V37XHFXAWHDIEUR6X}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-08-05T01:35:55.943328Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ab5b43ec8ef577fb9cb7058e341291f5edf9ebf2cfecf7ada45052c9fda52609
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VNNUH3EO6V37XHFXAWHDIEUR6X \
| 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: ab5b43ec8ef577fb9cb7058e341291f5edf9ebf2cfecf7ada45052c9fda52609
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "77491b63c629bffb01fc552ac68a71380dc3926292fee59439958b6b17427aae",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-08-04T11:17:54Z",
"title_canon_sha256": "15fdb287b82e93356db4f6497166f8046ff0aa3f39a2d2b56f2f057b059e9661"
},
"schema_version": "1.0",
"source": {
"id": "2608.03480",
"kind": "arxiv",
"version": 1
}
}