Pith Number
pith:4DJKN4KP
pith:2018:4DJKN4KP6J4SRAGVLAZ2EAFB5K
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refs pending
An Instance Transfer based Approach Using Enhanced Recurrent Neural Network for Domain Named Entity Recognition
arxiv:1810.06644 v1 · 2018-10-09 · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4DJKN4KP6J4SRAGVLAZ2EAFB5K}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-18T00:03:12.100491Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e0d2a6f14ff2792880d55833a200a1ea8693adfe22bfddc0a6b5332053f2d44e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4DJKN4KP6J4SRAGVLAZ2EAFB5K \
| 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: e0d2a6f14ff2792880d55833a200a1ea8693adfe22bfddc0a6b5332053f2d44e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ff4e41351c6c8d6b79f253205f5999703433041f709a04dee7753b26dcfe90c6",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2018-10-09T06:55:04Z",
"title_canon_sha256": "65e578fd751240f5c828b7dec4d4fda908bb9a0876b307dcfad612b3d2e538fd"
},
"schema_version": "1.0",
"source": {
"id": "1810.06644",
"kind": "arxiv",
"version": 1
}
}