Pith Number
pith:5MHTLUU4
pith:2018:5MHTLUU4DJN2SNGF3HCDRCNHYJ
not attested
not anchored
not stored
refs pending
Adaptive Pruning of Neural Language Models for Mobile Devices
arxiv:1809.10282 v1 · 2018-09-27 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5MHTLUU4DJN2SNGF3HCDRCNHYJ}
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 | 2026-05-18T00:04:37.826274Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eb0f35d29c1a5ba934c5d9c43889a7c255dcd32d6535e6839a51be5f97c3cf36
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5MHTLUU4DJN2SNGF3HCDRCNHYJ \
| 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: eb0f35d29c1a5ba934c5d9c43889a7c255dcd32d6535e6839a51be5f97c3cf36
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "15647f93a25197ac103bb05b80be3e10af26989a442f9529b7828e3798b67012",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2018-09-27T00:41:16Z",
"title_canon_sha256": "eb1208f1227e75c2bd1f9301cb137e0f7bf6c8e2d81e92429f3a38be1e336d31"
},
"schema_version": "1.0",
"source": {
"id": "1809.10282",
"kind": "arxiv",
"version": 1
}
}