Pith Number
pith:76X6AFZF
pith:2017:76X6AFZFYC4K3VTWLNOUEURHIJ
not attested
not anchored
not stored
refs pending
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction
arxiv:1708.04757 v1 · 2017-08-16 · stat.ML · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{76X6AFZFYC4K3VTWLNOUEURHIJ}
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
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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 | 2026-05-18T00:37:57.985449Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ffafe01725c0b8add6765b5d425227424c352aa5328a8f7494e25a722cc8c40b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/76X6AFZFYC4K3VTWLNOUEURHIJ \
| 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: ffafe01725c0b8add6765b5d425227424c352aa5328a8f7494e25a722cc8c40b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e496e724532706baa45650d86934dd54eb85cadbf99ce4fbca3931ae148de088",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-08-16T03:27:25Z",
"title_canon_sha256": "0becba9053616ea139840de73d8246703d5887205219ba99947c2c0ec46e1a66"
},
"schema_version": "1.0",
"source": {
"id": "1708.04757",
"kind": "arxiv",
"version": 1
}
}