Pith Number
pith:G3SWNPD7
pith:2024:G3SWNPD75IZQLKE6JOASJ3MW2P
not attested
not anchored
not stored
refs pending
Dual-Capability Machine Learning Models for Quantum Hamiltonian Parameter Estimation and Dynamics Prediction
arxiv:2405.13582 v1 · 2024-05-22 · quant-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{G3SWNPD75IZQLKE6JOASJ3MW2P}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:40:58.099129Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
36e566bc7fea3305a89e4b8124ed96d3c1c635fb7d8fa9bad201f54ff566c9bb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G3SWNPD75IZQLKE6JOASJ3MW2P \
| 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: 36e566bc7fea3305a89e4b8124ed96d3c1c635fb7d8fa9bad201f54ff566c9bb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "69ee750d390a2a66e87f22aa505e1bba7e14b5282ad39d00710feca9b38447c0",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "quant-ph",
"submitted_at": "2024-05-22T12:21:57Z",
"title_canon_sha256": "3f1336b4c2acedbc7c06590474bca8d9442a6ef131605f9744046018c4e123d7"
},
"schema_version": "1.0",
"source": {
"id": "2405.13582",
"kind": "arxiv",
"version": 1
}
}