Pith Number
pith:MOT2SIGP
pith:2016:MOT2SIGPHWAZZ5KNKKZUFV33SD
not attested
not anchored
not stored
refs pending
Tunable Sensitivity to Large Errors in Neural Network Training
arxiv:1611.07743 v1 · 2016-11-23 · stat.ML · cs.LG · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MOT2SIGPHWAZZ5KNKKZUFV33SD}
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 | 2026-05-18T00:56:59.933853Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
63a7a920cf3d819cf54d52b342d77b90cbcefd8757adf330d1f650858f913a48
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MOT2SIGPHWAZZ5KNKKZUFV33SD \
| 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: 63a7a920cf3d819cf54d52b342d77b90cbcefd8757adf330d1f650858f913a48
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2d0a3d5f0aea8eb30f204b7d7784824949f971696a6f819d7dc156f9867716c6",
"cross_cats_sorted": [
"cs.LG",
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2016-11-23T11:14:01Z",
"title_canon_sha256": "c3ba2ba886c71c1e75308203724e8b56af45aa069d9fb98ad2b16d4281f6b784"
},
"schema_version": "1.0",
"source": {
"id": "1611.07743",
"kind": "arxiv",
"version": 1
}
}