Pith Number
pith:DYCVEIPT
pith:2023:DYCVEIPTBAYMN5VWOUYXCEZ4NZ
not attested
not anchored
not stored
refs pending
Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach
arxiv:2311.00993 v1 · 2023-11-02 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DYCVEIPTBAYMN5VWOUYXCEZ4NZ}
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 | 2026-07-05T07:08:18.862777Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1e055221f30830c6f6b6753171133c6e74d20217263deeb46ace71273101934b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DYCVEIPTBAYMN5VWOUYXCEZ4NZ \
| 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: 1e055221f30830c6f6b6753171133c6e74d20217263deeb46ace71273101934b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2119a23614917f9b4ab846b43206056b4d6439b1a87474c9dbf351bf862d0819",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-11-02T04:46:32Z",
"title_canon_sha256": "1df6670f66ad3d7c9ee58e02fe2d9e9be990a2dac1ea0da59249d274316098b5"
},
"schema_version": "1.0",
"source": {
"id": "2311.00993",
"kind": "arxiv",
"version": 1
}
}