Pith Number
pith:WAJZPVPD
pith:2020:WAJZPVPDSMU4GOSYHTRU6KNT4G
not attested
not anchored
not stored
refs pending
Segmentation of Infrared Breast Images Using MultiResUnet Neural Network
arxiv:2011.00376 v1 · 2020-10-31 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WAJZPVPDSMU4GOSYHTRU6KNT4G}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T01:48:15.543395Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b01397d5e39329c33a583ce34f29b3e1961c30c861d4071e87daa0bb1921b32b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WAJZPVPDSMU4GOSYHTRU6KNT4G \
| 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: b01397d5e39329c33a583ce34f29b3e1961c30c861d4071e87daa0bb1921b32b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "96308bc815e8be2c6b46a067ddba20e13ccd7710d34955faa0275d72fa4f0586",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2020-10-31T22:15:28Z",
"title_canon_sha256": "7b29928019ff2f286d633d88d6c6e3a52d3e7ee08c78b9e37690d4a073d6343c"
},
"schema_version": "1.0",
"source": {
"id": "2011.00376",
"kind": "arxiv",
"version": 1
}
}