Pith Number
pith:CWOBSD5X
pith:2022:CWOBSD5XVRUU7J7R27GFYG2KRB
not attested
not anchored
not stored
refs pending
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting
arxiv:2208.02812 v2 · 2022-08-04 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CWOBSD5XVRUU7J7R27GFYG2KRB}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:05:49.931112Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
159c190fb7ac694fa7f1d7cc5c1b4a8864fad7d4301953b7ade302332ef4a37f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CWOBSD5XVRUU7J7R27GFYG2KRB \
| 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: 159c190fb7ac694fa7f1d7cc5c1b4a8864fad7d4301953b7ade302332ef4a37f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1040f340718ebf6f5ea0b6dd4e4e18d3fda6db75201704a7e082a79f4d4d93fc",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-08-04T17:59:03Z",
"title_canon_sha256": "c542afabf3d3163f2b6406c18c700d42241fb8b7daa650d7336325eeb0be3d52"
},
"schema_version": "1.0",
"source": {
"id": "2208.02812",
"kind": "arxiv",
"version": 2
}
}