Pith Number
pith:G5LUTNDP
pith:2025:G5LUTNDPKTWNYS4YHORDOOTDFS
not attested
not anchored
not stored
refs pending
Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression
arxiv:2506.08267 v2 · 2025-06-09 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G5LUTNDPKTWNYS4YHORDOOTDFS}
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
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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 | 2026-07-05T11:21:48.888517Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
375749b46f54ecdc4b983ba2373a632caab94b0fe4641d5610a7aa12e44aaf86
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G5LUTNDPKTWNYS4YHORDOOTDFS \
| 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: 375749b46f54ecdc4b983ba2373a632caab94b0fe4641d5610a7aa12e44aaf86
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a7b71688f475902e465e227fa2dcec026cf5eb76c8ee068eda38717905c7ffb5",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-09T22:05:53Z",
"title_canon_sha256": "0c728a09681f7219f604d6e6079618a1b644559589f273b5867023e2fe50b38e"
},
"schema_version": "1.0",
"source": {
"id": "2506.08267",
"kind": "arxiv",
"version": 2
}
}