Pith Number
pith:D3XPP3JY
pith:2026:D3XPP3JYYDUBMBKXPOCAEJHDQM
not attested
not anchored
not stored
refs pending
M-Net: Integrating Spectral Features and Physical Field Operators into Deep Learning for Medical Image Segmentation
arxiv:2608.12196 v1 · 2026-08-12 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D3XPP3JYYDUBMBKXPOCAEJHDQM}
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 | 2026-08-13T01:30:28.755739Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1eeef7ed38c0e81605577b840224e38321e8ebac5f42cda9100dc06291d253cb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D3XPP3JYYDUBMBKXPOCAEJHDQM \
| 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: 1eeef7ed38c0e81605577b840224e38321e8ebac5f42cda9100dc06291d253cb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d6fbb5ef9f15b282ec55185b4ce2723e18fb66acb905ea4be7fa04adc2452ee2",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-08-12T15:51:07Z",
"title_canon_sha256": "52354ed9ccc1fa3078a38c542c924bad9e34989d2a24d9d4c55606c01780f500"
},
"schema_version": "1.0",
"source": {
"id": "2608.12196",
"kind": "arxiv",
"version": 1
}
}