Pith Number

pith:5YLHP5AI

pith:2025:5YLHP5AIV65PWOOSNKWE46FSDV

not attested not anchored not stored refs pending

Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems

Chengkai Huang, Le Pan, Lina Yao, Wenjie Zhang, Yuanjiang Cao

arxiv:2505.03655 v1 · 2025-05-06 · cs.IR · cs.AI

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{5YLHP5AIV65PWOOSNKWE46FSDV}

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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

Factorized Latent Reasoning for LLM-based Recommendation

Receipt and verification

First computed	2026-07-05T10:59:20.039960Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

ee1677f408afbafb39d26aac4e78b21d62fa9874673081227c2f3cf45cd1182c

Aliases

arxiv: 2505.03655 · arxiv_version: 2505.03655v1 · doi: 10.48550/arxiv.2505.03655 · pith_short_12: 5YLHP5AIV65P · pith_short_16: 5YLHP5AIV65PWOOS · pith_short_8: 5YLHP5AI

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/5YLHP5AIV65PWOOSNKWE46FSDV \
  | 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: ee1677f408afbafb39d26aac4e78b21d62fa9874673081227c2f3cf45cd1182c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "2b3105891e879a8a2c10966c8628a5eadb2ac3e75f9b7ab8d399710f87253555",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.IR",
    "submitted_at": "2025-05-06T16:00:41Z",
    "title_canon_sha256": "eda88453c489703ce198111a28eab78d7fec44a69d0f88fcb6c255296935e335"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2505.03655",
    "kind": "arxiv",
    "version": 1
  }
}