Pith Number
pith:XKAG23LU
pith:2018:XKAG23LUGHCLOLSI7OUMRRH5YX
not attested
not anchored
not stored
refs pending
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
arxiv:1812.06081 v1 · 2018-12-14 · cs.CL · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XKAG23LUGHCLOLSI7OUMRRH5YX}
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
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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.
Receipt and verification
| First computed | 2026-05-17T23:58:15.644993Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ba806d6d7431c4b72e48fba8c8c4fdc5d58de5b1885be8d9807cfeaa150543a6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XKAG23LUGHCLOLSI7OUMRRH5YX \
| 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: ba806d6d7431c4b72e48fba8c8c4fdc5d58de5b1885be8d9807cfeaa150543a6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "be8b5cfd4112fb6d89ca64dbebd3be75c420bce61f735119ed31231d31b1a316",
"cross_cats_sorted": [
"cs.IR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2018-12-14T18:59:41Z",
"title_canon_sha256": "091d49fe49dff49a4c072e4f9c9bb404186f8591cf9fb02a3b5dc9288b29d597"
},
"schema_version": "1.0",
"source": {
"id": "1812.06081",
"kind": "arxiv",
"version": 1
}
}