Pith Number
pith:VRNAJSJQ
pith:2024:VRNAJSJQKIPB2ZX2NK4G4JXMXE
not attested
not anchored
not stored
refs pending
Approximation and Gradient Descent Training with Neural Networks
arxiv:2405.11696 v1 · 2024-05-19 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VRNAJSJQKIPB2ZX2NK4G4JXMXE}
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 | 2026-07-05T08:20:43.160952Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ac5a04c930521e1d66fa6ab86e26ecb900cb0dedabfe68177ccfddf865e618f6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VRNAJSJQKIPB2ZX2NK4G4JXMXE \
| 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: ac5a04c930521e1d66fa6ab86e26ecb900cb0dedabfe68177ccfddf865e618f6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ffd1d17b93beb52a2302656f5cdb99683ecef058146bcc50306d69ae847f0a22",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-05-19T23:04:09Z",
"title_canon_sha256": "96cc9498957514774b964a313e2123da05c9efbb437dc249f38925c7483e3dd0"
},
"schema_version": "1.0",
"source": {
"id": "2405.11696",
"kind": "arxiv",
"version": 1
}
}