Pith Number
pith:ISGJ5ZH6
pith:2025:ISGJ5ZH6L6FBAWPLQQL66K6B3B
not attested
not anchored
not stored
refs pending
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising
arxiv:2503.00334 v1 · 2025-03-01 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ISGJ5ZH6L6FBAWPLQQL66K6B3B}
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 | 2026-07-05T10:22:20.888649Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
448c9ee4fe5f8a1059eb8417ef2bc1d85b1b7fc185ccfe375f23810e3f689e1c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ISGJ5ZH6L6FBAWPLQQL66K6B3B \
| 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: 448c9ee4fe5f8a1059eb8417ef2bc1d85b1b7fc185ccfe375f23810e3f689e1c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1d95f9ba5f4fef9e55bf81dd35a1c69e46310189e87a5b1be384e445990481b0",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-03-01T03:54:58Z",
"title_canon_sha256": "2c4e4c4c7e1d13ccd906163dcbc32d71d2a941a67eed9f75c58b54894d170470"
},
"schema_version": "1.0",
"source": {
"id": "2503.00334",
"kind": "arxiv",
"version": 1
}
}