Pith Number
pith:V5T7MQS4
pith:2024:V5T7MQS44HEDIYTU34VSSMKCBS
not attested
not anchored
not stored
refs pending
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning
arxiv:2412.03248 v2 · 2024-12-04 · cs.CV · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V5T7MQS44HEDIYTU34VSSMKCBS}
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
✓
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 | 2026-07-05T11:44:43.299275Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
af67f6425ce1c8346274df2b2931420cb5a7ea509550ef10af548afc84adf1f8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V5T7MQS44HEDIYTU34VSSMKCBS \
| 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: af67f6425ce1c8346274df2b2931420cb5a7ea509550ef10af548afc84adf1f8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ed24e38918957e46d2ac55346fd7f716dbfb48c447906314976e41a21a033abd",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-12-04T11:47:57Z",
"title_canon_sha256": "90fe4c5aa177aad9c6559f2296d8a8ac2bc8b2f71e3865263dc56bf4fa306758"
},
"schema_version": "1.0",
"source": {
"id": "2412.03248",
"kind": "arxiv",
"version": 2
}
}