Pith Number
pith:7T7JG3ET
pith:2022:7T7JG3ETMPTYH5UWYKDHHLRAK6
not attested
not anchored
not stored
refs pending
Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field
arxiv:2211.04890 v1 · 2022-11-09 · physics.data-an · cs.LG · hep-ex
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7T7JG3ETMPTYH5UWYKDHHLRAK6}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:21:54.931576Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fcfe936c9363e783f696c28673ae2057bd6a0b7f119d379e15285865269ee9c0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7T7JG3ETMPTYH5UWYKDHHLRAK6 \
| 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: fcfe936c9363e783f696c28673ae2057bd6a0b7f119d379e15285865269ee9c0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "057ba36ca9cdb41336da841903172b35c70a5d78a17bba98218a80202514a31a",
"cross_cats_sorted": [
"cs.LG",
"hep-ex"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.data-an",
"submitted_at": "2022-11-09T13:50:45Z",
"title_canon_sha256": "dda9420b75be905201dcef4e496d30e0040318a71e6875559faac1551f9b9825"
},
"schema_version": "1.0",
"source": {
"id": "2211.04890",
"kind": "arxiv",
"version": 1
}
}