Pith Number
pith:BZC56X2B
pith:2019:BZC56X2BEHEI2EENHXL7OGK7YU
not attested
not anchored
not stored
refs pending
LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images
arxiv:1910.13955 v1 · 2019-10-30 · eess.IV · cs.CV · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BZC56X2BEHEI2EENHXL7OGK7YU}
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 | 2026-07-05T00:15:58.775713Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0e45df5f4121c88d108d3dd7f7195fc52e954945188fd8948b85818efefc75cf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BZC56X2BEHEI2EENHXL7OGK7YU \
| 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: 0e45df5f4121c88d108d3dd7f7195fc52e954945188fd8948b85818efefc75cf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5e3d935c1bd34b5bc315be0dc8f2280745701f47ceebf84ef0fab8c686193f58",
"cross_cats_sorted": [
"cs.CV",
"cs.RO"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2019-10-30T16:11:23Z",
"title_canon_sha256": "0093a3ff2144a870d4a2fa35b7155ef80f09bfbde199b6d71ac13c9c27494727"
},
"schema_version": "1.0",
"source": {
"id": "1910.13955",
"kind": "arxiv",
"version": 1
}
}