Pith Number
pith:AZGRQ4ZL
pith:2016:AZGRQ4ZL2OQCMEQ666BHBEL4Z2
not attested
not anchored
not stored
refs pending
A Feature-Enriched Neural Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging
arxiv:1611.05384 v2 · 2016-11-16 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AZGRQ4ZL2OQCMEQ666BHBEL4Z2}
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
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4
Citations
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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 | 2026-05-18T00:41:07.766198Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
064d18732bd3a026121ef78270917cce8cb22e5011ea5ddff9db479f8b0ebbf4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AZGRQ4ZL2OQCMEQ666BHBEL4Z2 \
| 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: 064d18732bd3a026121ef78270917cce8cb22e5011ea5ddff9db479f8b0ebbf4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f24c4b994bb284f9da74c6c913ab39b8888c1ddd232adbd11dccb0e8d560bf2a",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2016-11-16T17:47:57Z",
"title_canon_sha256": "1e9a3a74006982c52bc910f6e99f03bdb61f162175f0463d178359151bba5da8"
},
"schema_version": "1.0",
"source": {
"id": "1611.05384",
"kind": "arxiv",
"version": 2
}
}