Pith Number
pith:NW6Z2NW3
pith:2019:NW6Z2NW36CX3ST6LCZL3K3KSNK
not attested
not anchored
not stored
refs pending
PFA-ScanNet: Pyramidal Feature Aggregation with Synergistic Learning for Breast Cancer Metastasis Analysis
arxiv:1905.01040 v2 · 2019-05-03 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NW6Z2NW36CX3ST6LCZL3K3KSNK}
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 | 2026-05-17T23:40:43.273524Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6dbd9d36dbf0afb94fcb1657b56d526aa3be4f09fe5e205155f8ab5a8274ef9e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NW6Z2NW36CX3ST6LCZL3K3KSNK \
| 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: 6dbd9d36dbf0afb94fcb1657b56d526aa3be4f09fe5e205155f8ab5a8274ef9e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9899db9e628d80ccbb843ed9fea6f4786032c8af2229a3d63cd7f654b34a0e07",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-05-03T06:31:38Z",
"title_canon_sha256": "92659f26c3324dd5234594739df77c07568c8b5458e98a8c6ade9df76a152322"
},
"schema_version": "1.0",
"source": {
"id": "1905.01040",
"kind": "arxiv",
"version": 2
}
}