Pith Number
pith:WSRG3MQB
pith:2025:WSRG3MQBUQJRW5AV33VCI6RACB
not attested
not anchored
not stored
refs pending
MSMVD: Exploiting Multi-scale Image Features via Multi-scale BEV Features for Multi-view Pedestrian Detection
arxiv:2508.20447 v1 · 2025-08-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WSRG3MQBUQJRW5AV33VCI6RACB}
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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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 | 2026-07-05T12:00:36.732909Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b4a26db201a4131b7415deea247a20104ab490ed3edde625d245dea3a559f055
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WSRG3MQBUQJRW5AV33VCI6RACB \
| 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: b4a26db201a4131b7415deea247a20104ab490ed3edde625d245dea3a559f055
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d1ca35d91a124db85121e6035cfdf95af9edaf41d80f7b8c1b99cbd78ae75ad3",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-28T05:52:58Z",
"title_canon_sha256": "9226b1435d365c3fc1c1da445a613b0adf9ea58eeb950a0b56f64c5196c1fe1f"
},
"schema_version": "1.0",
"source": {
"id": "2508.20447",
"kind": "arxiv",
"version": 1
}
}