Pith Number
pith:2Y7UDU42
pith:2023:2Y7UDU4266PGMMNXJP3MPBWBST
not attested
not anchored
not stored
refs pending
Training of Neural Networks with Uncertain Data: A Mixture of Experts Approach
arxiv:2312.08083 v4 · 2023-12-13 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2Y7UDU4266PGMMNXJP3MPBWBST}
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
✓
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 | 2026-07-05T08:11:56.368801Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d63f41d39af79e6631b74bf6c786c194fbf89e85d47b80afffb11739c441406a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2Y7UDU4266PGMMNXJP3MPBWBST \
| 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: d63f41d39af79e6631b74bf6c786c194fbf89e85d47b80afffb11739c441406a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fa2816a0198a54f0d754328cc92f9dce6869dba8a8311fb464665fdc3065d3e1",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2023-12-13T11:57:15Z",
"title_canon_sha256": "4d5edeee9952fe5ea72d0cfc23b2d87eca1d404589cd395b9a500238749fb140"
},
"schema_version": "1.0",
"source": {
"id": "2312.08083",
"kind": "arxiv",
"version": 4
}
}