Pith Number
pith:XFEW6LZD
pith:2022:XFEW6LZD6QJHM2WOB43O5Y5CNY
not attested
not anchored
not stored
refs pending
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction
arxiv:2210.11720 v1 · 2022-10-21 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XFEW6LZD6QJHM2WOB43O5Y5CNY}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:08:56.850724Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b9496f2f23f412766ace0f36eee3a26e09d9c0be2b53f72bd46f256913e4ef10
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XFEW6LZD6QJHM2WOB43O5Y5CNY \
| 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: b9496f2f23f412766ace0f36eee3a26e09d9c0be2b53f72bd46f256913e4ef10
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c9a1cb1385ad84201054e753a2c4121235c173ba8e23eb07589c3c6aefb19d8f",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2022-10-21T04:11:25Z",
"title_canon_sha256": "f68c4b8a6b26bab4dec8b38e21b9b84966e43bcab6175abbdb443bfaef0b7b4f"
},
"schema_version": "1.0",
"source": {
"id": "2210.11720",
"kind": "arxiv",
"version": 1
}
}