Pith Number
pith:HKT7AFGV
pith:2026:HKT7AFGVDZAZ7JV4M3DPJYBQ3D
not attested
not anchored
not stored
refs pending
Understanding Quantization-Aware Training: Gradients at Quantized Weights Bias to the Low-Loss Basin
arxiv:2606.09012 v1 · 2026-06-08 · cs.LG · cs.AI · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HKT7AFGVDZAZ7JV4M3DPJYBQ3D}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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claim
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.
Receipt and verification
| First computed | 2026-06-09T02:07:53.418340Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3aa7f014d51e419fa6bc66c6f4e030d8ed246eabeb3fc5e0602a11ca574f8d8e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HKT7AFGVDZAZ7JV4M3DPJYBQ3D \
| 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: 3aa7f014d51e419fa6bc66c6f4e030d8ed246eabeb3fc5e0602a11ca574f8d8e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9a6f44d942be31c95a740bacecb084b822c99a2c89467cf0541d9aeeabd629c0",
"cross_cats_sorted": [
"cs.AI",
"math.OC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-08T04:21:39Z",
"title_canon_sha256": "b6a642dafc4de9e0ef2b4527f11f1a385d54ec7d9c57fa69cc89ee376512a5ed"
},
"schema_version": "1.0",
"source": {
"id": "2606.09012",
"kind": "arxiv",
"version": 1
}
}