Pith Number
pith:JP7VIBZC
pith:2026:JP7VIBZCQ6HPHVXCK62BGVB7ZY
not attested
not anchored
not stored
refs pending
PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation
arxiv:2605.21752 v1 · 2026-05-20 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JP7VIBZCQ6HPHVXCK62BGVB7ZY}
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 | 2026-05-22T01:03:30.546188Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4bff540722878ef3d6e257b413543fce035cb9163e56ab66264ad58bee841559
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JP7VIBZCQ6HPHVXCK62BGVB7ZY \
| 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: 4bff540722878ef3d6e257b413543fce035cb9163e56ab66264ad58bee841559
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "33e14cfcb47921e9858d22cf93b87266ac0f09c105827f158276b8df383555a4",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-20T21:25:41Z",
"title_canon_sha256": "9ec6c33ab37d7fd9924f5d7b9a979fb5f070f46fd00916ae6d0cbcc618c5e1c3"
},
"schema_version": "1.0",
"source": {
"id": "2605.21752",
"kind": "arxiv",
"version": 1
}
}