Pith Number
pith:ZVRJ63I4
pith:2017:ZVRJ63I4OYOHAGPQX5AEYEZMJ3
not attested
not anchored
not stored
refs pending
An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation
arxiv:1709.02764 v4 · 2017-09-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZVRJ63I4OYOHAGPQX5AEYEZMJ3}
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 | 2026-05-18T00:27:27.791975Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cd629f6d1c761c7019f0bf404c132c4ef3db37ac9a3b742070182f66fbae6aca
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZVRJ63I4OYOHAGPQX5AEYEZMJ3 \
| 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: cd629f6d1c761c7019f0bf404c132c4ef3db37ac9a3b742070182f66fbae6aca
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8c34726bb960aac938262a26c7f0f6e6da947ac47e45878a4de6710b2fde405c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-09-08T16:17:55Z",
"title_canon_sha256": "192ef960941ba290ea832be386a906838eebd120b5be5771ee558c908dd977e7"
},
"schema_version": "1.0",
"source": {
"id": "1709.02764",
"kind": "arxiv",
"version": 4
}
}