Pith Number
pith:CCAWEABO
pith:2024:CCAWEABOEB7KJFF7GFC3NFKS2Y
not attested
not anchored
not stored
refs pending
Quaternion Generative Adversarial Neural Networks and Applications to Color Image Inpainting
arxiv:2406.11567 v1 · 2024-06-17 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CCAWEABOEB7KJFF7GFC3NFKS2Y}
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 | 2026-07-05T08:32:55.145604Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
108162002e207ea494bf3145b69552d61bae1a3a9237437ce8984ebdb7ec3381
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CCAWEABOEB7KJFF7GFC3NFKS2Y \
| 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: 108162002e207ea494bf3145b69552d61bae1a3a9237437ce8984ebdb7ec3381
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b55e0a55d395f3145fd881b402364fdcffa4898e71c9116900b82ea0d25286ec",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-06-17T14:04:17Z",
"title_canon_sha256": "5de7cb418b844dbeb5ba757cf469536f3cda4f26be4e6d62fd7897811d3d6ad5"
},
"schema_version": "1.0",
"source": {
"id": "2406.11567",
"kind": "arxiv",
"version": 1
}
}