Pith Number
pith:MRS4WZ24
pith:2025:MRS4WZ24HR4ELLVBHQ5VBI7JIW
not attested
not anchored
not stored
refs pending
IIMedGPT: Promoting Large Language Model Capabilities of Medical Tasks by Efficient Human Preference Alignment
arxiv:2501.02869 v1 · 2025-01-06 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MRS4WZ24HR4ELLVBHQ5VBI7JIW}
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
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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 | 2026-07-05T09:57:26.370337Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6465cb675c3c7845aea13c3b50a3e945af24ab8164ce94cfb84edf8eb5d6a424
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MRS4WZ24HR4ELLVBHQ5VBI7JIW \
| 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: 6465cb675c3c7845aea13c3b50a3e945af24ab8164ce94cfb84edf8eb5d6a424
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "39a743b512195de839d657b208979e0b0007391ddbb26feba09f7bd60b05f218",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-01-06T09:22:36Z",
"title_canon_sha256": "aba38614a74d772b48ab1971dfb03588c515bfb8e1abdb50dc953602894f0c2c"
},
"schema_version": "1.0",
"source": {
"id": "2501.02869",
"kind": "arxiv",
"version": 1
}
}