Pith Number
pith:MIO3BTBP
pith:2024:MIO3BTBPN7IOEIV2QKUJIXL4EG
not attested
not anchored
not stored
refs pending
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI
arxiv:2409.03772 v1 · 2024-08-21 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MIO3BTBPN7IOEIV2QKUJIXL4EG}
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 | 2026-07-05T09:03:56.835117Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
621db0cc2f6fd0e222ba82a8945d7c21be753902fe3eb03337cdff4783665912
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MIO3BTBPN7IOEIV2QKUJIXL4EG \
| 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: 621db0cc2f6fd0e222ba82a8945d7c21be753902fe3eb03337cdff4783665912
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f728c354292f685ab44711353ea804ad7fa3c31e01c87439d71444095779bccb",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2024-08-21T07:49:01Z",
"title_canon_sha256": "1b76a1217d8bf7a888d9cdaa3443c86d3096cca128c7eebdee18ae2d3471da12"
},
"schema_version": "1.0",
"source": {
"id": "2409.03772",
"kind": "arxiv",
"version": 1
}
}