Pith Number
pith:2Q6GOGGE
pith:2026:2Q6GOGGEUGZI2WVEGNS7GKVHTH
not attested
not anchored
not stored
refs pending
A neurosymbolic Approach with Epistemic Deep Learning for Hierarchical Image Classification
arxiv:2605.16383 v1 · 2026-05-11 · cs.CV · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2Q6GOGGEUGZI2WVEGNS7GKVHTH}
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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 | 2026-05-20T00:02:19.434477Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d43c6718c4a1b28d5aa43365f32aa799e03f0952e0b5fb89bcd0150ffab6d66a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2Q6GOGGEUGZI2WVEGNS7GKVHTH \
| 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: d43c6718c4a1b28d5aa43365f32aa799e03f0952e0b5fb89bcd0150ffab6d66a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "680a77a7d56220111632e8c8bf2a2abe41b61dac7c93d3b765e508410f98d297",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-11T09:43:43Z",
"title_canon_sha256": "237135f9c39401a7ea4945c231c7cf2ccf794d554f7da5c5e2209a9325c72d49"
},
"schema_version": "1.0",
"source": {
"id": "2605.16383",
"kind": "arxiv",
"version": 1
}
}