Pith Number
pith:K4FQ62ZX
pith:2019:K4FQ62ZXWFXC6MW346A2TSLTHB
not attested
not anchored
not stored
refs pending
Emergent properties of the local geometry of neural loss landscapes
arxiv:1910.05929 v1 · 2019-10-14 · cs.LG · cs.NE · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{K4FQ62ZXWFXC6MW346A2TSLTHB}
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 | 2026-07-05T00:11:42.669113Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
570b0f6b37b16e2f32dbe781a9c973384f31933752a45523fbf97fec9166e3ab
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/K4FQ62ZXWFXC6MW346A2TSLTHB \
| 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: 570b0f6b37b16e2f32dbe781a9c973384f31933752a45523fbf97fec9166e3ab
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "317a3d7d5e73d452972ef2847362e3757cd0c32b74dfa3dbcb61630012235d37",
"cross_cats_sorted": [
"cs.NE",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-10-14T06:23:38Z",
"title_canon_sha256": "e7a7a10a440a43be1b2a38c109fda8c6fd34d8ef21532e5a024bb4793b5e6ef5"
},
"schema_version": "1.0",
"source": {
"id": "1910.05929",
"kind": "arxiv",
"version": 1
}
}