Pith. sign in
Pith Number

pith:5RKKVEAO

pith:2020:5RKKVEAOUKFTB6EUQGLMAOUFFJ
not attested not anchored not stored refs pending

OccamNet: A Fast Neural Model for Symbolic Regression at Scale

Allan Costa, Joseph Jacobson, Marin Solja\v{c}i\'c, Owen Dugan, Pawan Goyal, Rumen Dangovski, Samuel Kim

arxiv:2007.10784 v3 · 2020-07-16 · cs.LG · cs.NE · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5RKKVEAOUKFTB6EUQGLMAOUFFJ}

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

2 papers in Pith

Receipt and verification
First computed 2026-07-05T07:17:20.798304Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

ec54aa900ea28b30f8948196c03a852a6cdc3d4d3b55dcfa410af950488de85a

Aliases

arxiv: 2007.10784 · arxiv_version: 2007.10784v3 · doi: 10.48550/arxiv.2007.10784 · pith_short_12: 5RKKVEAOUKFT · pith_short_16: 5RKKVEAOUKFTB6EU · pith_short_8: 5RKKVEAO
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5RKKVEAOUKFTB6EUQGLMAOUFFJ \
  | 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: ec54aa900ea28b30f8948196c03a852a6cdc3d4d3b55dcfa410af950488de85a
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "82c9e7c43dd4e23684700a13707c7860fa9f729d72dabc4b6e035ec11a17d7f4",
    "cross_cats_sorted": [
      "cs.NE",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-07-16T21:14:45Z",
    "title_canon_sha256": "f7a3b3dfbc742a484759cc7d253037f6102d6c747891cc5e3d482c9a3e7c9728"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2007.10784",
    "kind": "arxiv",
    "version": 3
  }
}