Pith Number
pith:H4YFQVGE
pith:2025:H4YFQVGEAAYQWZYAQBZCLCXZGB
not attested
not anchored
not stored
refs pending
TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models
arxiv:2504.09897 v3 · 2025-04-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H4YFQVGEAAYQWZYAQBZCLCXZGB}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:04:48.978196Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3f305854c400310b67008072258af930539d7364219e376d50d53ae1937738a8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H4YFQVGEAAYQWZYAQBZCLCXZGB \
| 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: 3f305854c400310b67008072258af930539d7364219e376d50d53ae1937738a8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "efcceba76f11af1c5b5e0fb84282e050a2f6746768a33637be266930504f91a1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-04-14T05:44:38Z",
"title_canon_sha256": "93c1dceea8ad8406408178fab1ca967cf48537d1109a194db648bbf916779c11"
},
"schema_version": "1.0",
"source": {
"id": "2504.09897",
"kind": "arxiv",
"version": 3
}
}