Pith Number
pith:HH3D5PO2
pith:2022:HH3D5PO2W7HTS5BLWLWOVFTXPC
not attested
not anchored
not stored
refs pending
Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal Vision Transformer-CNN Models
arxiv:2210.04613 v2 · 2022-10-03 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HH3D5PO2W7HTS5BLWLWOVFTXPC}
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 | 2026-07-05T05:48:25.710918Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
39f63ebddab7cf39742bb2ecea96777883aa343bc489a3591b34bf80c7507dcd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HH3D5PO2W7HTS5BLWLWOVFTXPC \
| 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: 39f63ebddab7cf39742bb2ecea96777883aa343bc489a3591b34bf80c7507dcd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6bcec05b9d05823e40a994d782570d6c76b37e4c8cecd4b4db28e8cf0d6da332",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-10-03T13:34:11Z",
"title_canon_sha256": "6350582046452862da10f900a1557920316fb1ceead9945f7abb3a25eb63eb27"
},
"schema_version": "1.0",
"source": {
"id": "2210.04613",
"kind": "arxiv",
"version": 2
}
}