Pith Number
pith:JXSABO3E
pith:2023:JXSABO3E3FULYF2PHYNC3PEWTZ
not attested
not anchored
not stored
refs pending
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation
arxiv:2306.04811 v1 · 2023-06-07 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JXSABO3E3FULYF2PHYNC3PEWTZ}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:18:42.291608Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4de400bb64d968bc174f3e1a2dbc969e57166eefd409a25751a61eba6976d93b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JXSABO3E3FULYF2PHYNC3PEWTZ \
| 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: 4de400bb64d968bc174f3e1a2dbc969e57166eefd409a25751a61eba6976d93b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "febb69c4881d6ba1f34f048b71d031d1a1af5a9289f07edcb472bab3b031af5c",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-06-07T22:20:51Z",
"title_canon_sha256": "7e18dfb241e90b10b377ae07d6d2e44dee2de930e02c9f28cf4f93abeff5e247"
},
"schema_version": "1.0",
"source": {
"id": "2306.04811",
"kind": "arxiv",
"version": 1
}
}