Pith Number
pith:A6KBBKVY
pith:2018:A6KBBKVYQB3PFN5JBK4C7BM4NS
not attested
not anchored
not stored
refs pending
CNN based dense underwater 3D scene reconstruction by transfer learning using bubble database
arxiv:1811.09675 v1 · 2018-11-21 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{A6KBBKVYQB3PFN5JBK4C7BM4NS}
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 | 2026-05-18T00:00:01.515032Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
079410aab88076f2b7a90ab82f859c6ca862b796434cafbef6959b63211d2ad7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/A6KBBKVYQB3PFN5JBK4C7BM4NS \
| 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: 079410aab88076f2b7a90ab82f859c6ca862b796434cafbef6959b63211d2ad7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "54d74ae8a8488e00de9406e9118273c0887081de977d948e4ae0e8fd0a006f30",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-11-21T01:08:51Z",
"title_canon_sha256": "46f167bab769620f8955cb4437b08f829bea7f4f50b16586c25dac8e39ea8b38"
},
"schema_version": "1.0",
"source": {
"id": "1811.09675",
"kind": "arxiv",
"version": 1
}
}