Pith Number
pith:5A5C4IFX
pith:2019:5A5C4IFX6634R4LGQQA4V35HVN
not attested
not anchored
not stored
refs pending
NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs
arxiv:1908.08419 v3 · 2019-08-22 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5A5C4IFX6634R4LGQQA4V35HVN}
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
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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 | 2026-07-05T01:19:50.215410Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e83a2e20b7f7b7c8f1668401caefa7ab5335971fc8d0b1362b16a4975525cdb6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5A5C4IFX6634R4LGQQA4V35HVN \
| 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: e83a2e20b7f7b7c8f1668401caefa7ab5335971fc8d0b1362b16a4975525cdb6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f38e142f6bb8ef5118c89dcd7977af870fb1411fb66abbded34bb5dde70d0ffa",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2019-08-22T14:51:44Z",
"title_canon_sha256": "bd41523251b2ae2220a27b48867e69e4db4d20cefe234791c8e9bb5f487e7090"
},
"schema_version": "1.0",
"source": {
"id": "1908.08419",
"kind": "arxiv",
"version": 3
}
}