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
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
· sign in to
claim
4
Citations
5
Replications
✓
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
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
· · · · ·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
}
}