Pith Number
pith:4HCKG375
pith:2024:4HCKG375OPQWDAFBGLYB4APNWG
not attested
not anchored
not stored
refs pending
Best free knot linear spline approximation and its application to neural networks
arxiv:2404.00008 v1 · 2024-03-07 · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4HCKG375OPQWDAFBGLYB4APNWG}
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.
Receipt and verification
| First computed | 2026-07-05T08:02:26.441735Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e1c4a36ffd73e16180a132f01e01edb1b8a46e07b581e9052d4ef897a6e50965
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4HCKG375OPQWDAFBGLYB4APNWG \
| 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: e1c4a36ffd73e16180a132f01e01edb1b8a46e07b581e9052d4ef897a6e50965
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "622cb11cbe4bbfb6bca13c0d6c361a6e8fb25b654992966c8af65f6e6a3dc1d3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.OC",
"submitted_at": "2024-03-07T23:27:20Z",
"title_canon_sha256": "278df18142d75cc9e28f2d5cfaa8f0a5a053315aa8efc8847915089773881fff"
},
"schema_version": "1.0",
"source": {
"id": "2404.00008",
"kind": "arxiv",
"version": 1
}
}