Pith Number
pith:2QMWFPL5
pith:2021:2QMWFPL5JGOS7YZJRBFL4KK6O2
not attested
not anchored
not stored
refs pending
FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection
arxiv:2106.12449 v2 · 2021-06-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2QMWFPL5JGOS7YZJRBFL4KK6O2}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T03:04:26.481011Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d41962bd7d499d2fe329884abe295e768aaf1d5c2a087cfa19e10cc10659e0eb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2QMWFPL5JGOS7YZJRBFL4KK6O2 \
| 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: d41962bd7d499d2fe329884abe295e768aaf1d5c2a087cfa19e10cc10659e0eb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d29d5a58d87d6698feeba9eccbb77e11475f3b52fc9ef9e035363f93b4f83cf5",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-06-23T14:53:22Z",
"title_canon_sha256": "4d47d06bcb8ebb3a66cfd3834e9e6f2c846fc08b962d4a51c4876fddff642059"
},
"schema_version": "1.0",
"source": {
"id": "2106.12449",
"kind": "arxiv",
"version": 2
}
}