Pith Number
pith:7XURJGI4
pith:2020:7XURJGI4C7JICBTMKWBRQFE7GU
not attested
not anchored
not stored
refs pending
Image Segmentation Using Deep Learning: A Survey
arxiv:2001.05566 v5 · 2020-01-15 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7XURJGI4C7JICBTMKWBRQFE7GU}
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
✓
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 | 2026-07-05T01:51:39.058551Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fde914991c17d281066c558318149f353e1a97a44e5368889b67226432efc4f6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7XURJGI4C7JICBTMKWBRQFE7GU \
| 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: fde914991c17d281066c558318149f353e1a97a44e5368889b67226432efc4f6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6718c6a2243dd74fa392eba2eb19e08d6f45b2bf464b245c84e7fdc01974311d",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-01-15T21:37:47Z",
"title_canon_sha256": "77f0a743f5e322dad127fc06b3fac847f3dbcaff05ffa7e9d440d5ddaae38719"
},
"schema_version": "1.0",
"source": {
"id": "2001.05566",
"kind": "arxiv",
"version": 5
}
}