Pith Number

pith:LRW3KIWF

pith:2020:LRW3KIWFNJZA2UM4DDIAV2ZEAE

not attested not anchored not stored refs pending

DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network

Feng Xing, Guibao Mei, Junyou He, Weipeng Yan, Xiaorui Yang, Yongjun Bao

arxiv:2011.11938 v1 · 2020-11-24 · cs.AI · cs.IR · cs.LG

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{LRW3KIWFNJZA2UM4DDIAV2ZEAE}

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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

1 paper in Pith

Pre-train and Fine-tune: Recommenders as Large Models

Receipt and verification

First computed	2026-07-05T01:54:06.478185Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

5c6db522c56a720d519c18d00aeb240103e176b821d0f79b1f4858e17468cda4

Aliases

arxiv: 2011.11938 · arxiv_version: 2011.11938v1 · doi: 10.48550/arxiv.2011.11938 · pith_short_12: LRW3KIWFNJZA · pith_short_16: LRW3KIWFNJZA2UM4 · pith_short_8: LRW3KIWF

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/LRW3KIWFNJZA2UM4DDIAV2ZEAE \
  | 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: 5c6db522c56a720d519c18d00aeb240103e176b821d0f79b1f4858e17468cda4

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "a22dc4d7565bd4fb97eedf8fceb35747ad3f6ee664859d979117c7e6577b9a87",
    "cross_cats_sorted": [
      "cs.IR",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2020-11-24T07:30:52Z",
    "title_canon_sha256": "ea9e2085bd87ea3a10761604e12e4a105043e775be32ce40d9163d72325f584e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2011.11938",
    "kind": "arxiv",
    "version": 1
  }
}