Pith Number
pith:DNIDKEEM
pith:2023:DNIDKEEMWSSQSYUZR6UZKEHFRL
not attested
not anchored
not stored
refs pending
ATE-SG: Alternate Through the Epochs Stochastic Gradient for Multi-Task Neural Networks
arxiv:2312.16340 v2 · 2023-12-26 · cs.LG · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DNIDKEEMWSSQSYUZR6UZKEHFRL}
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.
Receipt and verification
| First computed | 2026-07-05T11:04:35.356004Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b5035108cb4a50962998fa99510e58ad63218d58f1d90ca5bc3752a1ef50472
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DNIDKEEMWSSQSYUZR6UZKEHFRL \
| 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: 1b5035108cb4a50962998fa99510e58ad63218d58f1d90ca5bc3752a1ef50472
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6e8bd8e09e5c3e58e03a40262ce1c6a0f12747ad228dc50a52cc8964116bed23",
"cross_cats_sorted": [
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-12-26T21:33:03Z",
"title_canon_sha256": "fb96c7c752be7fddd7dd549a6866f5d974d441206b74b3d4f0dce798420893ba"
},
"schema_version": "1.0",
"source": {
"id": "2312.16340",
"kind": "arxiv",
"version": 2
}
}