Pith Number
pith:2NJDJMXC
pith:2022:2NJDJMXCEL73ZVOPZ3BTJCVTLD
not attested
not anchored
not stored
refs pending
3D Adapted Random Forest Vision (3DARFV) for Untangling Heterogeneous-Fabric Exceeding Deep Learning Semantic Segmentation Efficiency at the Utmost Accuracy
arxiv:2203.12469 v1 · 2022-03-23 · cs.CV · astro-ph.IM · cs.LG · eess.IV · physics.geo-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2NJDJMXCEL73ZVOPZ3BTJCVTLD}
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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 | 2026-07-05T04:13:14.255668Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d35234b2e222ffbcd5cfcec3348ab358dd1619d97b75d41a02e5ead0a809e0b8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2NJDJMXCEL73ZVOPZ3BTJCVTLD \
| 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: d35234b2e222ffbcd5cfcec3348ab358dd1619d97b75d41a02e5ead0a809e0b8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cb20f6e229840bd6a67044d75be2b05b42c8ea8c5a004fee38d27a5fb77067e2",
"cross_cats_sorted": [
"astro-ph.IM",
"cs.LG",
"eess.IV",
"physics.geo-ph"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-03-23T15:05:23Z",
"title_canon_sha256": "efcc312c649b15e9831c056fed5452fab3ea861e5caf266d8a5a2e3f97163206"
},
"schema_version": "1.0",
"source": {
"id": "2203.12469",
"kind": "arxiv",
"version": 1
}
}