Pith Number
pith:M44U5DVB
pith:2015:M44U5DVBT4JZQBPAOL4BYDAI5Z
not attested
not anchored
not stored
refs pending
A Machine Learning Technique to Identify Transit Shaped Signals
arxiv:1509.00041 v1 · 2015-08-31 · astro-ph.EP · astro-ph.IM · astro-ph.SR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M44U5DVBT4JZQBPAOL4BYDAI5Z}
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 | 2026-05-18T01:30:22.914003Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
67394e8ea19f139805e072f81c0c08ee7689d82dfb75abfba989b7e7e1526dac
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M44U5DVBT4JZQBPAOL4BYDAI5Z \
| 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: 67394e8ea19f139805e072f81c0c08ee7689d82dfb75abfba989b7e7e1526dac
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1750f1ef35261bda0c7b3fe5ef2020677b9871e20bac1c2a1dca2a2139a96554",
"cross_cats_sorted": [
"astro-ph.IM",
"astro-ph.SR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "astro-ph.EP",
"submitted_at": "2015-08-31T20:23:47Z",
"title_canon_sha256": "8fce52375929bffd73922757578a435275c644f5a06e259b231e201f9491c449"
},
"schema_version": "1.0",
"source": {
"id": "1509.00041",
"kind": "arxiv",
"version": 1
}
}