Pith Number
pith:2WOGHSQA
pith:2024:2WOGHSQAQUAN6P2GESGHMEKR72
not attested
not anchored
not stored
refs pending
Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs
arxiv:2409.14988 v1 · 2024-09-23 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2WOGHSQAQUAN6P2GESGHMEKR72}
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 | 2026-07-05T09:10:34.382021Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d59c63ca008500df3f46248c761151fe900081f5b71e4fb6a7886397e8c48595
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2WOGHSQAQUAN6P2GESGHMEKR72 \
| 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: d59c63ca008500df3f46248c761151fe900081f5b71e4fb6a7886397e8c48595
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1e202240665aadd89f12417ba094fe74d896a307abc692248ed86cec511ccccc",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-09-23T13:09:57Z",
"title_canon_sha256": "0cf1514e212496ba71fc8119306a1792fdc903741b54f671802b335c04ac6bce"
},
"schema_version": "1.0",
"source": {
"id": "2409.14988",
"kind": "arxiv",
"version": 1
}
}