Pith Number
pith:374RULZI
pith:2025:374RULZI5G4X2XF45LJP4WBX44
not attested
not anchored
not stored
refs pending
Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning
arxiv:2505.04877 v1 · 2025-05-08 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{374RULZI5G4X2XF45LJP4WBX44}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T11:04:50.599005Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dff91a2f28e9b97d5cbcead2fe5837e727b84b4bf38e49d2b6d1656f97c65b96
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/374RULZI5G4X2XF45LJP4WBX44 \
| 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: dff91a2f28e9b97d5cbcead2fe5837e727b84b4bf38e49d2b6d1656f97c65b96
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "451337235e2a50a7d365f0936b6db40ac8219349be6e57521d4d2628804d5e99",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-08T01:20:24Z",
"title_canon_sha256": "d72ae7b70752853d323f591730b3ea4ce37062ad7ae149a93ef6cbfb527c405e"
},
"schema_version": "1.0",
"source": {
"id": "2505.04877",
"kind": "arxiv",
"version": 1
}
}