Pith Number
pith:W7DMK2N4
pith:2022:W7DMK2N4KQ7Z7NXYCWEIJMTLBY
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Multi-Frequency-Aware Patch Adversarial Learning for Neural Point Cloud Rendering
arxiv:2210.03693 v1 · 2022-10-07 · cs.CV · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W7DMK2N4KQ7Z7NXYCWEIJMTLBY}
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Record completeness
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Bitcoin timestamp
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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 | 2026-07-05T05:04:22.982833Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b7c6c569bc543f9fb6f8158884b26b0e0eea47d73517d2b5e991c95a7e8e2232
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W7DMK2N4KQ7Z7NXYCWEIJMTLBY \
| 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: b7c6c569bc543f9fb6f8158884b26b0e0eea47d73517d2b5e991c95a7e8e2232
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9291fda06604e21220686b2e6e2cdbc6f6fbee58e30f8625f9416215bc0d9263",
"cross_cats_sorted": [
"eess.IV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-10-07T16:54:15Z",
"title_canon_sha256": "9cc32cf2f6365589458d4f98fd5438a59fbe19e3cb83b798f6c02e2cb5047ef7"
},
"schema_version": "1.0",
"source": {
"id": "2210.03693",
"kind": "arxiv",
"version": 1
}
}