Pith Number
pith:GZPVABJD
pith:2025:GZPVABJDGXSNCIPUWEINVMB6W6
not attested
not anchored
not stored
refs pending
X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning
arxiv:2503.02162 v2 · 2025-03-04 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GZPVABJDGXSNCIPUWEINVMB6W6}
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 | 2026-07-05T10:28:37.729712Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
365f50052335e4d121f4b110dab03eb792b2d44b5924dff9c5f40a02e2999a5e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GZPVABJDGXSNCIPUWEINVMB6W6 \
| 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: 365f50052335e4d121f4b110dab03eb792b2d44b5924dff9c5f40a02e2999a5e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2a562ef0a7294bd022c9fb7cc5ffe4be61c53924248f1d77da3a19a6cec84506",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-03-04T00:48:09Z",
"title_canon_sha256": "92795cb3b068d138985421947bc6ac495f8e4f1fd5da1f26db6b60043af912a7"
},
"schema_version": "1.0",
"source": {
"id": "2503.02162",
"kind": "arxiv",
"version": 2
}
}