Pith Number
pith:L3TA26Y6
pith:2021:L3TA26Y6ATPUXBRCJ2QQX6FTKG
not attested
not anchored
not stored
refs pending
NEUROSPF: A tool for the Symbolic Analysis of Neural Networks
arxiv:2103.00124 v1 · 2021-02-27 · cs.LG · cs.AI · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L3TA26Y6ATPUXBRCJ2QQX6FTKG}
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 | 2026-07-05T02:19:02.615603Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5ee60d7b1e04df4b86224ea10bf8b35191f8d0176a5536ef38c8069fcd3b1a8e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L3TA26Y6ATPUXBRCJ2QQX6FTKG \
| 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: 5ee60d7b1e04df4b86224ea10bf8b35191f8d0176a5536ef38c8069fcd3b1a8e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "70da4bb24685c05baa1e3a7a7ee6d228f8a5388bd7b1351a5931e2412f4fe3b7",
"cross_cats_sorted": [
"cs.AI",
"cs.SE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-02-27T04:28:11Z",
"title_canon_sha256": "6ed68b3f15584183dd0b2b8ed85505f5cc454ce2d239838bdd6ac24d340ae732"
},
"schema_version": "1.0",
"source": {
"id": "2103.00124",
"kind": "arxiv",
"version": 1
}
}