Pith Number
pith:RBGSLSF3
pith:2026:RBGSLSF3SOYB4JEWJGGGXHBG4K
not attested
not anchored
not stored
refs pending
Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA
arxiv:2606.19950 v1 · 2026-06-18 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RBGSLSF3SOYB4JEWJGGGXHBG4K}
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
· sign in to
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.
Receipt and verification
| First computed | 2026-06-19T16:12:59.005032Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
884d25c8bb93b01e2496498c6b9c26e29ead7f1d98e450b95ca6eb33444d2dd6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RBGSLSF3SOYB4JEWJGGGXHBG4K \
| 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: 884d25c8bb93b01e2496498c6b9c26e29ead7f1d98e450b95ca6eb33444d2dd6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6e504aa54ca0a658ac977520efc3b8a5c20176394c91234781bf9ae9d07c0b50",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-06-18T08:49:11Z",
"title_canon_sha256": "ee340a25b5240642266717da3c78acf36ab17fce9678f7465efdca4566a120a3"
},
"schema_version": "1.0",
"source": {
"id": "2606.19950",
"kind": "arxiv",
"version": 1
}
}