Pith Number
pith:6DKEDOX7
pith:2019:6DKEDOX7Q6G3ZM32WMGZZWULGO
not attested
not anchored
not stored
refs pending
HR-CAM: Precise Localization of Pathology Using Multi-level Learning in CNNs
arxiv:1909.12919 v1 · 2019-09-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6DKEDOX7Q6G3ZM32WMGZZWULGO}
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 | 2026-07-05T00:07:53.828796Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f0d441baff878dbcb37ab30d9cda8b33a99bfb716a04ea266b4fccf26da61176
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6DKEDOX7Q6G3ZM32WMGZZWULGO \
| 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: f0d441baff878dbcb37ab30d9cda8b33a99bfb716a04ea266b4fccf26da61176
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7cf46f0d8d126c3260af83dd70631b8a77e5a076a367d2a30e598ec255967f5c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-09-23T13:47:12Z",
"title_canon_sha256": "8d131fe8cccc3f5810a28727302ebadab54af18bb03d5fd77f4cb3cefb82648e"
},
"schema_version": "1.0",
"source": {
"id": "1909.12919",
"kind": "arxiv",
"version": 1
}
}