Pith Number
pith:7JFTDSNO
pith:2025:7JFTDSNO6CSI4L55YFRV7GWHSH
not attested
not anchored
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refs pending
MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization
arxiv:2502.00425 v2 · 2025-02-01 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7JFTDSNO6CSI4L55YFRV7GWHSH}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
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4
Citations
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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.
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Receipt and verification
| First computed | 2026-07-05T11:51:21.477461Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fa4b31c9aef0a48e2fbdc1635f9ac791c3b8864305df1d26cf1789628f5ba4ed
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7JFTDSNO6CSI4L55YFRV7GWHSH \
| 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: fa4b31c9aef0a48e2fbdc1635f9ac791c3b8864305df1d26cf1789628f5ba4ed
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "079dba9e5ad3a43280a4c84bcddcfd51fdffc9aa1fbc4e8670d832a369ed107a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-02-01T13:08:02Z",
"title_canon_sha256": "a485bce3cb6e45b523ddd72a985bf79b18f48eabab203520e76a2ad4fe7f8b6f"
},
"schema_version": "1.0",
"source": {
"id": "2502.00425",
"kind": "arxiv",
"version": 2
}
}