Pith Number
pith:BOCMVVJH
pith:2026:BOCMVVJH7NMBOR6UVDLNGTA4XD
not attested
not anchored
not stored
refs pending
Are you sure? A Comprehensive and Comprehensible Survey of Uncertainty Quantification in Symbolic Regression
arxiv:2606.06567 v1 · 2026-06-04 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BOCMVVJH7NMBOR6UVDLNGTA4XD}
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 | 2026-06-08T00:03:44.815959Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b84cad527fb581747d4a8d6d34c1cb8c625d86de45530dd3db3ddc5159b2755
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BOCMVVJH7NMBOR6UVDLNGTA4XD \
| 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: 0b84cad527fb581747d4a8d6d34c1cb8c625d86de45530dd3db3ddc5159b2755
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "23dee9180b4d7fe1cfbbb197700fe551fa7ac1aa384cd9acf7d97a722d3e8679",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-04T17:29:56Z",
"title_canon_sha256": "76796d12048edc6a5d0b78ba0ee648d03266fde8100b2988c0e6807928f991d4"
},
"schema_version": "1.0",
"source": {
"id": "2606.06567",
"kind": "arxiv",
"version": 1
}
}