Pith Number
pith:EXSDADPJ
pith:2023:EXSDADPJW5B6JR7I4K7GPJEZLD
not attested
not anchored
not stored
refs pending
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer
arxiv:2308.00507 v2 · 2023-08-01 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EXSDADPJW5B6JR7I4K7GPJEZLD}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T06:50:16.263548Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
25e4300de9b743e4c7e8e2be67a49958f0df1dc81daf043190bb3fcacd3d1660
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EXSDADPJW5B6JR7I4K7GPJEZLD \
| 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: 25e4300de9b743e4c7e8e2be67a49958f0df1dc81daf043190bb3fcacd3d1660
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b269366d0cf33c887edea26528b88f8bd813e2cf5cb21c15f8e7e60f7d0f8664",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-08-01T12:46:02Z",
"title_canon_sha256": "e5fb70a26827b58023b2442097f6cc690b750e88418b20bc21e89a9149dd1aa4"
},
"schema_version": "1.0",
"source": {
"id": "2308.00507",
"kind": "arxiv",
"version": 2
}
}