Pith Number
pith:7DQW2RXX
pith:2025:7DQW2RXXGF6ZHB5SIV6C6CISVU
not attested
not anchored
not stored
refs pending
DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models
arxiv:2503.02175 v2 · 2025-03-04 · cs.CV · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7DQW2RXXGF6ZHB5SIV6C6CISVU}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:43:05.198020Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f8e16d46f7317d9387b2457c2f0912ad28d27ec1659bdb304b77e308273c4459
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7DQW2RXXGF6ZHB5SIV6C6CISVU \
| 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: f8e16d46f7317d9387b2457c2f0912ad28d27ec1659bdb304b77e308273c4459
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "daa9d4ee9685f4a5f4c0a3dc8c0ea208e0fa02eab56d4838195114838ee8ce55",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-03-04T01:33:14Z",
"title_canon_sha256": "0b2d0e16ba7cf145abfe24bc20331882959aad1f073b5a7c5ef9cc8ff5dbfce7"
},
"schema_version": "1.0",
"source": {
"id": "2503.02175",
"kind": "arxiv",
"version": 2
}
}