Pith Number

pith:NRC76ON4

pith:2023:NRC76ON4GAPKLBJDPXZHUZW2OE

not attested not anchored not stored refs pending

A Transformer Model for Symbolic Regression towards Scientific Discovery

Florian Lalande, Naoya Chiba, Ryo Igarashi, Tatsunori Taniai, Yoshitaka Ushiku, Yoshitomo Matsubara

arxiv:2312.04070 v2 · 2023-12-07 · cs.LG

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{NRC76ON4GAPKLBJDPXZHUZW2OE}

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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

EditSR: Enhancing Neural Symbolic Regression via Edit-based Rectification

Receipt and verification

First computed	2026-07-05T09:56:20.439880Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6c45ff39bc301ea585237df27a66da711475456d6f8ec9ba4ff23ce83d310574

Aliases

arxiv: 2312.04070 · arxiv_version: 2312.04070v2 · doi: 10.48550/arxiv.2312.04070 · pith_short_12: NRC76ON4GAPK · pith_short_16: NRC76ON4GAPKLBJD · pith_short_8: NRC76ON4

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/NRC76ON4GAPKLBJDPXZHUZW2OE \
  | 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: 6c45ff39bc301ea585237df27a66da711475456d6f8ec9ba4ff23ce83d310574

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "5a9ae549511f6ae11548cb9074798c12941d78a8eb2f541c163d37d89b0d1b14",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-12-07T06:27:48Z",
    "title_canon_sha256": "076803f6cc7438bfc4099217154fe44785155dca2fff813b35f3203a742d95d1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2312.04070",
    "kind": "arxiv",
    "version": 2
  }
}