Pith Number

pith:OQWPZWGD

pith:2022:OQWPZWGD5N6OZ6IPEWQKTCACJD

not attested not anchored not stored refs pending

LPFS: Learnable Polarizing Feature Selection for Click-Through Rate Prediction

Chao Liao, Dongying Kong, Jianchao Tan, Ji Liu, Lei Yuan, Sen Yang, Yi Guo, Zhaocheng Liu, Zhi Chen

arxiv:2206.00267 v2 · 2022-06-01 · cs.IR

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{OQWPZWGD5N6OZ6IPEWQKTCACJD}

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 open · sign in to claim

4 Citations open

5 Replications open

✓ 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.

Cited by

5 papers in Pith

LeAP: Learnable Adaptive Permutation for Feature Selection in Heterogeneous and Sparse Recommender Systems

Performance-Driven QUBO for Recommender Systems on Quantum Annealers

ShuffleGate: Scalable Feature Optimization for Recommender Systems via Batch-wise Sensitivity Learning

Beyond Distributive Justice: Hermeneutical Fairness in Ad Delivery

Light-FMP: Lightweight Feature and Model Pruning for Enhanced Deep Recommender Systems

Receipt and verification

First computed	2026-07-05T04:54:21.261243Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

742cfcd8c3eb7cecf90f25a0a9880248e4efc6d06a8b1c7aaddd6c29b5796bbd

Aliases

arxiv: 2206.00267 · arxiv_version: 2206.00267v2 · doi: 10.48550/arxiv.2206.00267 · pith_short_12: OQWPZWGD5N6O · pith_short_16: OQWPZWGD5N6OZ6IP · pith_short_8: OQWPZWGD

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/OQWPZWGD5N6OZ6IPEWQKTCACJD \
  | 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: 742cfcd8c3eb7cecf90f25a0a9880248e4efc6d06a8b1c7aaddd6c29b5796bbd

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "6a6912a3b90f55c3fe293bd629d8b9187da8beee809266602bcc908722184e60",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.IR",
    "submitted_at": "2022-06-01T06:50:44Z",
    "title_canon_sha256": "1b62a6663336394412e7f8961790d74180b032e5fdc40d4b3234d546dc1f703f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2206.00267",
    "kind": "arxiv",
    "version": 2
  }
}