Pith Number
pith:2ZF2N4K5
pith:2026:2ZF2N4K5G3MUVOGDTQDHLR7T3C
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Learning Emergent Modular Representations in Multi-modality Medical Vision Foundation Models
arxiv:2605.21861 v1 · 2026-05-21 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2ZF2N4K5G3MUVOGDTQDHLR7T3C}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-05-22T01:04:11.845700Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d64ba6f15d36d94ab8c39c0675c7f3d8ba34950906bbe7c89c13329c413b2748
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2ZF2N4K5G3MUVOGDTQDHLR7T3C \
| 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: d64ba6f15d36d94ab8c39c0675c7f3d8ba34950906bbe7c89c13329c413b2748
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "933cc1a6b8b79329980bed07242a2a0c67a4ff7983275c8ec7e1d1d902203747",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-21T01:17:13Z",
"title_canon_sha256": "a42b63913740b2778c8acc67a070e5c1fa01f755e7f5afca8428e306e319ce21"
},
"schema_version": "1.0",
"source": {
"id": "2605.21861",
"kind": "arxiv",
"version": 1
}
}