Pith Number
pith:LRMUNZCN
pith:2022:LRMUNZCNPIMY4V2T2FGVQ2ERT6
not attested
not anchored
not stored
refs pending
Quadratic models for understanding catapult dynamics of neural networks
arxiv:2205.11787 v3 · 2022-05-24 · cs.LG · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LRMUNZCNPIMY4V2T2FGVQ2ERT6}
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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 | 2026-07-05T08:14:16.801089Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5c5946e44d7a198e5753d14d5868919f97a3da63abd0d8af8264f8f964eb8bbd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LRMUNZCNPIMY4V2T2FGVQ2ERT6 \
| 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: 5c5946e44d7a198e5753d14d5868919f97a3da63abd0d8af8264f8f964eb8bbd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fd36327f93ebed507c90226468b4ce2c61ad41bce516f794676f6f21d224a707",
"cross_cats_sorted": [
"math.OC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-05-24T05:03:06Z",
"title_canon_sha256": "56e46c9a073dc31c3cff7c94f06cbba308bff8cb86421c268b58c110ea7059fe"
},
"schema_version": "1.0",
"source": {
"id": "2205.11787",
"kind": "arxiv",
"version": 3
}
}