Pith Number
pith:FL77OHW3
pith:2025:FL77OHW3LSNC3G5D4H65Z5E7IR
not attested
not anchored
not stored
refs pending
The Optimiser Hidden in Plain Sight: Training with the Loss Landscape's Induced Metric
arxiv:2509.03594 v1 · 2025-09-03 · cs.LG · cs.AI · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FL77OHW3LSNC3G5D4H65Z5E7IR}
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
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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 | 2026-07-05T12:04:42.782334Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2afff71edb5c9a2d9ba3e1fddcf49f446f4120d9d1efd8abeef4a60f74693085
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FL77OHW3LSNC3G5D4H65Z5E7IR \
| 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: 2afff71edb5c9a2d9ba3e1fddcf49f446f4120d9d1efd8abeef4a60f74693085
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2affbaf71abb017d09edfd565cb5972d64424540519fb946e94ee6f87fb46ff6",
"cross_cats_sorted": [
"cs.AI",
"math.OC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-09-03T18:00:33Z",
"title_canon_sha256": "0615c7af1106ebf479eaf555769e21fa308d5b399121c75b80dafe5aa7512314"
},
"schema_version": "1.0",
"source": {
"id": "2509.03594",
"kind": "arxiv",
"version": 1
}
}