Pith Number
pith:KTCN76KS
pith:2025:KTCN76KSBOQV3VM5SX26JEMNQC
not attested
not anchored
not stored
refs pending
Enhanced Hamiltonian Learning Precision with Multi-Stage Neural Networks
arxiv:2503.07356 v1 · 2025-03-10 · quant-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KTCN76KSBOQV3VM5SX26JEMNQC}
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
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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 | 2026-07-05T10:27:54.332923Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
54c4dff9520ba15dd59d95f5e4918d80b8becea66dda3a29c96897cab716f1dc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KTCN76KSBOQV3VM5SX26JEMNQC \
| 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: 54c4dff9520ba15dd59d95f5e4918d80b8becea66dda3a29c96897cab716f1dc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e4053fb3e05f5c4af985a18c426bb020e79dbdb9e019d634d5b871ecf1d17ea5",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "quant-ph",
"submitted_at": "2025-03-10T14:10:59Z",
"title_canon_sha256": "2b132e7ac10eefebb45439d05698cacaadd96b2b96556aa43bcfd2fe3f4e4dc6"
},
"schema_version": "1.0",
"source": {
"id": "2503.07356",
"kind": "arxiv",
"version": 1
}
}