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Pith Number

pith:NSDWQAEM

pith:2024:NSDWQAEM3EBCTNURF5JXDKWPCH
not attested not anchored not stored refs pending

Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation

Dongjie Wang, Nanxu Gong, Wangyang Ying, Yanjie Fu

arxiv:2404.17157 v2 · 2024-04-26 · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NSDWQAEM3EBCTNURF5JXDKWPCH}

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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

Receipt and verification
First computed 2026-07-05T09:50:47.071503Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6c8768008cd90229b6912f5371aacf11c1b8a21ca49ddaa2b2777cfc798727af

Aliases

arxiv: 2404.17157 · arxiv_version: 2404.17157v2 · doi: 10.48550/arxiv.2404.17157 · pith_short_12: NSDWQAEM3EBC · pith_short_16: NSDWQAEM3EBCTNUR · pith_short_8: NSDWQAEM
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NSDWQAEM3EBCTNURF5JXDKWPCH \
  | 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: 6c8768008cd90229b6912f5371aacf11c1b8a21ca49ddaa2b2777cfc798727af
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "48a19db5c17bed5afc4c5c13993f0677fe9e27c0403bb97f58204e2729354a36",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-04-26T05:01:08Z",
    "title_canon_sha256": "7c467fdc2de6b95d9912f9d4aaf29bf04de907b47c5b6997fd921c5753116ff8"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2404.17157",
    "kind": "arxiv",
    "version": 2
  }
}