Pith Number
pith:XU5FPYJW
pith:2024:XU5FPYJWWJC62H52AJRH6N5W24
not attested
not anchored
not stored
refs pending
Accurate Medical Named Entity Recognition Through Specialized NLP Models
arxiv:2412.08255 v1 · 2024-12-11 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XU5FPYJWWJC62H52AJRH6N5W24}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:47:47.055625Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bd3a57e136b245ed1fba02627f37b6d721e2baba20a6537fd32bf3f1a0d4f729
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XU5FPYJWWJC62H52AJRH6N5W24 \
| 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: bd3a57e136b245ed1fba02627f37b6d721e2baba20a6537fd32bf3f1a0d4f729
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1f4f09ead2a1bd233f699f3bc3d27ca8c1ab728eec20bd56f289d2155e4f0aeb",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-12-11T10:06:57Z",
"title_canon_sha256": "c6898f3260f461c7666e7a3d38fed04649f91ec91f7d7b619a73c1ad4d88c876"
},
"schema_version": "1.0",
"source": {
"id": "2412.08255",
"kind": "arxiv",
"version": 1
}
}