Pith Number
pith:KJ5WKVB3
pith:2025:KJ5WKVB3XCCTNHTY4Q3QXZDS6E
not attested
not anchored
not stored
refs pending
Learning entanglement from tomography data: contradictory measurement importance for neural networks and random forests
arxiv:2505.03371 v2 · 2025-05-06 · quant-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KJ5WKVB3XCCTNHTY4Q3QXZDS6E}
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 | 2026-07-05T11:42:29.249525Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
527b65543bb885369e78e4370be472f1266b0a7ca8b8ba33e615a68249abdf5a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KJ5WKVB3XCCTNHTY4Q3QXZDS6E \
| 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: 527b65543bb885369e78e4370be472f1266b0a7ca8b8ba33e615a68249abdf5a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "50a8c0cdc2bbd5682abe02719c6dee85006c25a6e019dd3238edb0fdd171e3cc",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "quant-ph",
"submitted_at": "2025-05-06T09:42:35Z",
"title_canon_sha256": "24691d014f4cffbf06499e87630ddbbddb858c676927fc2c395521239f111c95"
},
"schema_version": "1.0",
"source": {
"id": "2505.03371",
"kind": "arxiv",
"version": 2
}
}