Pith Number
pith:666LDL7W
pith:2018:666LDL7WKUFM64DYYJ642EAFME
not attested
not anchored
not stored
refs pending
Expert identification of visual primitives used by CNNs during mammogram classification
arxiv:1803.04858 v1 · 2018-03-13 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{666LDL7WKUFM64DYYJ642EAFME}
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 | 2026-05-18T00:21:17.512839Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f7bcb1aff6550acf7078c27dcd1005611ab8ebbbb7026102329a6dc49477296b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/666LDL7WKUFM64DYYJ642EAFME \
| 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: f7bcb1aff6550acf7078c27dcd1005611ab8ebbbb7026102329a6dc49477296b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f828e07be4df8179f84c9407ba378b90ef23a1649ca884993ec2b34c5fa3f04e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-03-13T14:54:38Z",
"title_canon_sha256": "7fcdaeb5ed89413876f9a25c6b37df39168354ea39373d015ccd93ed5d9eff46"
},
"schema_version": "1.0",
"source": {
"id": "1803.04858",
"kind": "arxiv",
"version": 1
}
}