Pith Number
pith:RLT3OCQD
pith:2022:RLT3OCQD27DPZWOU2LHQ46P2OR
not attested
not anchored
not stored
refs pending
Deep-learning-based reconstruction of the neutrino direction and energy for in-ice radio detectors
arxiv:2205.15872 v2 · 2022-05-31 · astro-ph.IM · astro-ph.HE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RLT3OCQD27DPZWOU2LHQ46P2OR}
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
✓
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 | 2026-07-05T05:10:00.356966Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8ae7b70a03d7c6fcd9d4d2cf0e79fa746b38f5b4848d524d102bac4630a87365
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RLT3OCQD27DPZWOU2LHQ46P2OR \
| 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: 8ae7b70a03d7c6fcd9d4d2cf0e79fa746b38f5b4848d524d102bac4630a87365
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "67a471fc4d30148660b0b5d4dddc73db4e9f3fa0c99d6418dc0356ed6bd9bcac",
"cross_cats_sorted": [
"astro-ph.HE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "astro-ph.IM",
"submitted_at": "2022-05-31T15:18:44Z",
"title_canon_sha256": "c7bfe0521ef21a0fbc46498206c8cc1a3e9ae5a56cff9828daa675b62e24200a"
},
"schema_version": "1.0",
"source": {
"id": "2205.15872",
"kind": "arxiv",
"version": 2
}
}