Pith Number
pith:JMZ67K3M
pith:2020:JMZ67K3MPZPINOKTDC76EKZXYV
not attested
not anchored
not stored
refs pending
Analyzing 3D Volume Segmentation by Low-level Perceptual Cues, High-level Cognitive Tasks, and Decision-making Processes
arxiv:2004.02989 v1 · 2020-04-06 · cs.HC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JMZ67K3MPZPINOKTDC76EKZXYV}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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 | 2026-07-05T00:53:22.203571Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4b33efab6c7e5e86b95318bfe22b37c54aafad3fbbc0d34be3ef98151bf168a1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JMZ67K3MPZPINOKTDC76EKZXYV \
| 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: 4b33efab6c7e5e86b95318bfe22b37c54aafad3fbbc0d34be3ef98151bf168a1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e913a6216b42e8f8f94016fbb81d59a76551ea87eb9489906c63776ca9adcee0",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.HC",
"submitted_at": "2020-04-06T20:36:48Z",
"title_canon_sha256": "d3566db835093106d4456987f67902af998deb604e83e677c071442320b916f7"
},
"schema_version": "1.0",
"source": {
"id": "2004.02989",
"kind": "arxiv",
"version": 1
}
}