Pith Number
pith:S6TCCFVY
pith:2026:S6TCCFVYCWX2AEO77J4BF4OUCF
not attested
not anchored
not stored
refs pending
Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment
arxiv:2606.00741 v1 · 2026-05-30 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{S6TCCFVYCWX2AEO77J4BF4OUCF}
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 | 2026-06-02T01:04:04.302450Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
97a62116b815afa011dffa7812f1d4116f794ed710dc8fbe74b996747ced7bda
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/S6TCCFVYCWX2AEO77J4BF4OUCF \
| 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: 97a62116b815afa011dffa7812f1d4116f794ed710dc8fbe74b996747ced7bda
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d75dc353e47b1b2e16d3c61c6477eef87fda33d56220c33f8dd4d20d594c5733",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-30T14:21:16Z",
"title_canon_sha256": "8890b179fdcd3f98e6bc18064cf8d327c296f71187d31aabda2a0544e16f104a"
},
"schema_version": "1.0",
"source": {
"id": "2606.00741",
"kind": "arxiv",
"version": 1
}
}