Pith Number
pith:YYGAVLQI
pith:2023:YYGAVLQINIVZIXZYBSP7OYD4RN
not attested
not anchored
not stored
refs pending
Sample-efficient estimation of entanglement entropy through supervised learning
arxiv:2309.07556 v2 · 2023-09-14 · quant-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YYGAVLQINIVZIXZYBSP7OYD4RN}
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 | 2026-07-05T07:29:54.231561Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c60c0aae086a2b945f380c9ff7607c8b64b903215be916bb18f5b80a63d2c2c7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YYGAVLQINIVZIXZYBSP7OYD4RN \
| 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: c60c0aae086a2b945f380c9ff7607c8b64b903215be916bb18f5b80a63d2c2c7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fd638e601a3fdc0809ae4f20ac1ecfd5dd981220f85095114348abe125f32555",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "quant-ph",
"submitted_at": "2023-09-14T09:38:14Z",
"title_canon_sha256": "8ee8c16dcf2bc488c4c943e132bc5bd50f4a75b648cd0b8cbc42e3ae90e01788"
},
"schema_version": "1.0",
"source": {
"id": "2309.07556",
"kind": "arxiv",
"version": 2
}
}