Pith Number
pith:GYFFK6S7
pith:2022:GYFFK6S7ZFUDB64ZGK2DKHNDT2
not attested
not anchored
not stored
refs pending
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains
arxiv:2210.04133 v1 · 2022-10-09 · cs.CV · cs.AI · cs.CL · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GYFFK6S7ZFUDB64ZGK2DKHNDT2}
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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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 | 2026-07-05T05:29:39.624554Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
360a557a5fc96830fb9932b4351da39ea67701fd704f5d905033cbccf324d639
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GYFFK6S7ZFUDB64ZGK2DKHNDT2 \
| 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: 360a557a5fc96830fb9932b4351da39ea67701fd704f5d905033cbccf324d639
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f1330c9a43beb98c7b113e1bf620562fd527884a389f21a78e001a4b206b10d1",
"cross_cats_sorted": [
"cs.AI",
"cs.CL",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-10-09T01:43:08Z",
"title_canon_sha256": "99d103a28fe2bbe7591f2a798550aa262f5e9f18789fe7fd3cfe516d9383d1c5"
},
"schema_version": "1.0",
"source": {
"id": "2210.04133",
"kind": "arxiv",
"version": 1
}
}