Pith Number
pith:RCL4MOEH
pith:2025:RCL4MOEHVK7GG7C3LPHVUFRE4G
not attested
not anchored
not stored
refs pending
ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs
arxiv:2508.13514 v2 · 2025-08-19 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RCL4MOEHVK7GG7C3LPHVUFRE4G}
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
✓
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 | 2026-06-23T03:13:46.920708Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8897c63887aabe637c5b5bcf5a1624e1b2c0128e2d84f8c666158146366f53af
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RCL4MOEHVK7GG7C3LPHVUFRE4G \
| 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: 8897c63887aabe637c5b5bcf5a1624e1b2c0128e2d84f8c666158146366f53af
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9312719b45c3504740e44fdf97f5833975da747a64696a587e27ef74c9d6c558",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-08-19T05:01:40Z",
"title_canon_sha256": "7e51ee989ba3aaf99a6a8c1df8fc89893acbb2d851eea3ab74a68b5f13996650"
},
"schema_version": "1.0",
"source": {
"id": "2508.13514",
"kind": "arxiv",
"version": 2
}
}