Pith Number
pith:XG5UBTKZ
pith:2024:XG5UBTKZQJDKFPSCAFKAF5QNIC
not attested
not anchored
not stored
refs pending
Dark Matter Axion Detection with Neural Networks at Ultra-Low Signal-to-Noise Ratio
arxiv:2411.17947 v3 · 2024-11-26 · hep-ex
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XG5UBTKZQJDKFPSCAFKAF5QNIC}
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 | 2026-07-05T09:53:07.907356Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b9bb40cd598246a2be42015402f60d40bfc2dede5c1d359fa6af59857cad2351
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XG5UBTKZQJDKFPSCAFKAF5QNIC \
| 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: b9bb40cd598246a2be42015402f60d40bfc2dede5c1d359fa6af59857cad2351
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "39c2df02d31d44bf63aabaf1198c7edcb2f17b2e94632ada063920c5f92e62c3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "hep-ex",
"submitted_at": "2024-11-26T23:45:28Z",
"title_canon_sha256": "08e90793d05f97e7120dd907347eea825d2f22cb8ebb69e11b38aebf3d010b36"
},
"schema_version": "1.0",
"source": {
"id": "2411.17947",
"kind": "arxiv",
"version": 3
}
}