Pith Number
pith:M7C6U6DF
pith:2025:M7C6U6DFAV5AJ4BSWH5D7NI46L
not attested
not anchored
not stored
refs pending
BioPars: A Pretrained Biomedical Large Language Model for Persian Biomedical Text Mining
arxiv:2506.21567 v2 · 2025-06-12 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M7C6U6DFAV5AJ4BSWH5D7NI46L}
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 | 2026-07-05T11:30:23.616800Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
67c5ea7865057a04f032b1fa3fb51cf2c96c1c0e04c6d37f539f99c5d1b7f328
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M7C6U6DFAV5AJ4BSWH5D7NI46L \
| 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: 67c5ea7865057a04f032b1fa3fb51cf2c96c1c0e04c6d37f539f99c5d1b7f328
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cc0956d3ab0557bd0e47c2e4419fd014582f0c135590f2be77356d9323f20338",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-06-12T09:11:26Z",
"title_canon_sha256": "f1a8f737c6285eabffe81939d75e52703550910354e6f713f03d9c7caf97032b"
},
"schema_version": "1.0",
"source": {
"id": "2506.21567",
"kind": "arxiv",
"version": 2
}
}