Pith Number
pith:BCC2U5KA
pith:2026:BCC2U5KAPOIXA3U5MXUUBK35XY
not attested
not anchored
not stored
refs pending
How Many Visual Tokens Do Multimodal Language Models Need? Scaling Visual Token Pruning with F^3A
arxiv:2605.16359 v1 · 2026-05-09 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BCC2U5KAPOIXA3U5MXUUBK35XY}
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 | 2026-05-20T00:02:18.289362Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0885aa75407b91706e9d65e940ab7dbe3a259334ed215f812f1fa3c08b8663ff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BCC2U5KAPOIXA3U5MXUUBK35XY \
| 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: 0885aa75407b91706e9d65e940ab7dbe3a259334ed215f812f1fa3c08b8663ff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3386ecce2da3abed05cf7aaf390f1651e6a25519798a2da764d461d278687570",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-09T13:13:04Z",
"title_canon_sha256": "64ba929f0ec968f7f5859866f9603a088e8c0c261c74c9ced60b8f22f6a422d2"
},
"schema_version": "1.0",
"source": {
"id": "2605.16359",
"kind": "arxiv",
"version": 1
}
}