Pith Number
pith:DMTG2XG7
pith:2025:DMTG2XG7ZI2IMY46DN4HJNYIJG
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not stored
refs pending
Characterising the Inductive Biases of Neural Networks on Boolean Data
arxiv:2505.24060 v1 · 2025-05-29 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DMTG2XG7ZI2IMY46DN4HJNYIJG}
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Record completeness
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Bitcoin timestamp
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4
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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 | 2026-07-05T11:12:40.998168Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b266d5cdfca3486639e1b7874b70849a3be86242ed7e3e4ee2c8a4515aa1903
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DMTG2XG7ZI2IMY46DN4HJNYIJG \
| 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: 1b266d5cdfca3486639e1b7874b70849a3be86242ed7e3e4ee2c8a4515aa1903
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f51acb7832c796b9fbbc95af5a9bab8bac7b9300e9fd2bac1bce6e59a97e5400",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-05-29T23:03:33Z",
"title_canon_sha256": "4e54b593175d3fbefa5ffd92bd9abc3fc2ebba6fb0ecde9b91ca937c0d57bbe2"
},
"schema_version": "1.0",
"source": {
"id": "2505.24060",
"kind": "arxiv",
"version": 1
}
}