Pith Number
pith:OPLJCWXE
pith:2019:OPLJCWXELLUWK2JG3KTIBKMQOX
not attested
not anchored
not stored
refs pending
Toward Filament Segmentation Using Deep Neural Networks
arxiv:1912.02743 v1 · 2019-11-20 · astro-ph.SR · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OPLJCWXELLUWK2JG3KTIBKMQOX}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T00:24:16.460049Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
73d6915ae45ae9656926daa680a99075c0cbcd6fa4f4e81b39d0f12c1a2c036f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OPLJCWXELLUWK2JG3KTIBKMQOX \
| 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: 73d6915ae45ae9656926daa680a99075c0cbcd6fa4f4e81b39d0f12c1a2c036f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f3baf4f8756f0167fc0897cce5992f04d289adb6e24d496b495712e1afac314d",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "astro-ph.SR",
"submitted_at": "2019-11-20T17:45:41Z",
"title_canon_sha256": "dd6325f7f9810098215de9240b5c6d30f3bfa35bba4ca9c1222849f60cfb0112"
},
"schema_version": "1.0",
"source": {
"id": "1912.02743",
"kind": "arxiv",
"version": 1
}
}