Pith Number
pith:7FWD2CBD
pith:2025:7FWD2CBD7HEYJQU7IY3HHIT5SK
not attested
not anchored
not stored
refs pending
Modeling Feature Maps for Quantum Machine Learning
arxiv:2501.08205 v1 · 2025-01-14 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7FWD2CBD7HEYJQU7IY3HHIT5SK}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:00:57.568358Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f96c3d0823f9c984c29f463673a27d92b0b45221047e10a51ef398118b8a1fc6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7FWD2CBD7HEYJQU7IY3HHIT5SK \
| 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: f96c3d0823f9c984c29f463673a27d92b0b45221047e10a51ef398118b8a1fc6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "899e80d1262d74b56e7346b1bc9c31ebef89ee737194ae74423a6c968ba3c7e9",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-14T15:45:27Z",
"title_canon_sha256": "a5dcdc30f0a19be0126b33e1c6a8caef2fd0e6b16fc08cbf272dac1926158d6a"
},
"schema_version": "1.0",
"source": {
"id": "2501.08205",
"kind": "arxiv",
"version": 1
}
}