Pith Number
pith:S7IFVHMC
pith:2021:S7IFVHMCNBAQ3D446MG2DJNJ5V
not attested
not anchored
not stored
refs pending
Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression
arxiv:2112.04023 v1 · 2021-12-07 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{S7IFVHMCNBAQ3D446MG2DJNJ5V}
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
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claim
4
Citations
5
Replications
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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.
Receipt and verification
| First computed | 2026-07-05T03:39:05.242158Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
97d05a9d8268410d8f9cf30da1a5a9ed6f1dec624b6173a3648d2d7d0d33095a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S7IFVHMCNBAQ3D446MG2DJNJ5V \
| 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: 97d05a9d8268410d8f9cf30da1a5a9ed6f1dec624b6173a3648d2d7d0d33095a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "cffab12334b0cb3433e4fbfd52f7e9350c4d3616065314ea1b5300df2d582c46",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-12-07T22:28:53Z",
"title_canon_sha256": "2a89a2a3e23c89487bc62f6711cad28a05fc6a6e37c890249ae9a669debdae9e"
},
"schema_version": "1.0",
"source": {
"id": "2112.04023",
"kind": "arxiv",
"version": 1
}
}