Pith Number
pith:NAPUMY3D
pith:2025:NAPUMY3DDGOOOYCH6DXVCZ2NSS
not attested
not anchored
not stored
refs pending
Adaptation of Multi-modal Representation Models for Multi-task Surgical Computer Vision
arxiv:2507.05020 v2 · 2025-07-07 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NAPUMY3DDGOOOYCH6DXVCZ2NSS}
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
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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 | 2026-07-05T11:34:53.427297Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
681f466363199ce76047f0ef51674d94924017ecf7a09afb42663fd1b5f89e90
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NAPUMY3DDGOOOYCH6DXVCZ2NSS \
| 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: 681f466363199ce76047f0ef51674d94924017ecf7a09afb42663fd1b5f89e90
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fc88ce84203824493fc6a384ac868bdceb855aa03d769b65a77431e068fbf776",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-07-07T14:03:10Z",
"title_canon_sha256": "f827607ef4885db6be83164097638de6614403f79c4820ec3c3c75a88adbae0f"
},
"schema_version": "1.0",
"source": {
"id": "2507.05020",
"kind": "arxiv",
"version": 2
}
}