Pith Number
pith:ABR4IBQ7
pith:2024:ABR4IBQ7ESWB4QZFCIDO66DF6Q
not attested
not anchored
not stored
refs pending
Smart Predict-then-Optimize Method with Dependent Data: Risk Bounds and Calibration of Autoregression
arxiv:2411.12653 v1 · 2024-11-19 · eess.SY · cs.SY · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ABR4IBQ7ESWB4QZFCIDO66DF6Q}
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 | 2026-07-05T09:37:46.141932Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0063c4061f24ac1e43251206ef7865f4381d891ad079a89a32ca9835d4e71fa9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ABR4IBQ7ESWB4QZFCIDO66DF6Q \
| 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: 0063c4061f24ac1e43251206ef7865f4381d891ad079a89a32ca9835d4e71fa9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7d50e6a20d5a11528a38eef497b311bb02d581cec043a9d662af2cee66c68166",
"cross_cats_sorted": [
"cs.SY",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SY",
"submitted_at": "2024-11-19T17:02:04Z",
"title_canon_sha256": "08026ff56133d78c8e669c8dcda4851fa122424f06aef9af64afb4d3c0602e7c"
},
"schema_version": "1.0",
"source": {
"id": "2411.12653",
"kind": "arxiv",
"version": 1
}
}