Pith Number
pith:VSYLDOU6
pith:2021:VSYLDOU623AUFNISDURDYGH5B3
not attested
not anchored
not stored
refs pending
Bidirectional LSTM-CRF Attention-based Model for Chinese Word Segmentation
arxiv:2105.09681 v1 · 2021-05-20 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VSYLDOU623AUFNISDURDYGH5B3}
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 | 2026-07-05T02:41:55.887340Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
acb0b1ba9ed6c142b5121d223c18fd0edbf780095ac555f97c42713142b3173f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VSYLDOU623AUFNISDURDYGH5B3 \
| 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: acb0b1ba9ed6c142b5121d223c18fd0edbf780095ac555f97c42713142b3173f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "abc5bcd1123cc1b42c95bc7539ddfcce7378a659ced0936cc0e973dab5259418",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-05-20T11:46:53Z",
"title_canon_sha256": "2395a045ae4473a41175e5fa4f3153f4569ddeb9d2b32b6dc38c48e5f863b24c"
},
"schema_version": "1.0",
"source": {
"id": "2105.09681",
"kind": "arxiv",
"version": 1
}
}