Pith Number
pith:6OA5OVO7
pith:2020:6OA5OVO7TWOBSOXOE6PRTQXB5C
not attested
not anchored
not stored
refs pending
Analyzing Upper Bounds on Mean Absolute Errors for Deep Neural Network Based Vector-to-Vector Regression
arxiv:2008.05459 v1 · 2020-08-04 · cs.LG · eess.SP · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6OA5OVO7TWOBSOXOE6PRTQXB5C}
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Record completeness
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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 | 2026-07-05T01:26:47.263722Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f381d755df9d9c193aee279f19c2e1e8b1f44a21cda8ce4754389d2d4001a9db
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6OA5OVO7TWOBSOXOE6PRTQXB5C \
| 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: f381d755df9d9c193aee279f19c2e1e8b1f44a21cda8ce4754389d2d4001a9db
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2d17757a0e8e21116f4152c283f92702b9cef29564451b2872767de04df0fe96",
"cross_cats_sorted": [
"eess.SP",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-08-04T19:39:41Z",
"title_canon_sha256": "7f6cba828642882483fcb42b64b782eeb67a4622a61e5cd15610854bbdd7e312"
},
"schema_version": "1.0",
"source": {
"id": "2008.05459",
"kind": "arxiv",
"version": 1
}
}