Pith Number
pith:T5HNYOZT
pith:2016:T5HNYOZTFVZX34X2KLBMCFPZCP
not attested
not anchored
not stored
refs pending
Gland Instance Segmentation Using Deep Multichannel Neural Networks
arxiv:1611.06661 v3 · 2016-11-21 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T5HNYOZTFVZX34X2KLBMCFPZCP}
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 | 2026-05-18T00:29:46.658224Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9f4edc3b332d737df2fa52c2c115f913e86a8d1ebb86187c4195dfa65507d743
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T5HNYOZTFVZX34X2KLBMCFPZCP \
| 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: 9f4edc3b332d737df2fa52c2c115f913e86a8d1ebb86187c4195dfa65507d743
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "918409c9a604915c0cb3741941848027e999aba724ca9d801026e84466e18a9d",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-11-21T06:13:20Z",
"title_canon_sha256": "3c3649eba45cedce4409f25f1a69e71f488d070f4e8c114467f12da2eb3e02dc"
},
"schema_version": "1.0",
"source": {
"id": "1611.06661",
"kind": "arxiv",
"version": 3
}
}