Pith Number
pith:RDVAIMET
pith:2024:RDVAIMETQVBIQV3HJONQJSZO3H
not attested
not anchored
not stored
refs pending
GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks
arxiv:2408.14780 v2 · 2024-08-27 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RDVAIMETQVBIQV3HJONQJSZO3H}
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 | 2026-07-05T09:00:08.545972Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
88ea04309385428857674b9b04cb2ed9d401ab92a90fe91f0b801d71fc6c04a1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RDVAIMETQVBIQV3HJONQJSZO3H \
| 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: 88ea04309385428857674b9b04cb2ed9d401ab92a90fe91f0b801d71fc6c04a1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1ed8a048d049412b77de810ed87a9893d09edf9fefff5dccf81ac374ef40369f",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-08-27T04:57:53Z",
"title_canon_sha256": "5a0ba477ac394c951fc6d943d881b6b9a6f17af44a9af98c51086486293a9fd5"
},
"schema_version": "1.0",
"source": {
"id": "2408.14780",
"kind": "arxiv",
"version": 2
}
}