Pith Number
pith:4FHQADU7
pith:2018:4FHQADU7M4OHQBTKGANMQ4GJFV
not attested
not anchored
not stored
refs pending
Detecting edges from non-uniform Fourier data via sparse Bayesian learning
arxiv:1811.12220 v1 · 2018-11-29 · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4FHQADU7M4OHQBTKGANMQ4GJFV}
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 | 2026-05-17T23:59:34.023711Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e14f000e9f671c78066a301ac870c92d4b49475a0fc7ed74c991fb174864b86c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4FHQADU7M4OHQBTKGANMQ4GJFV \
| 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: e14f000e9f671c78066a301ac870c92d4b49475a0fc7ed74c991fb174864b86c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "53dcd40212d7b44efd45d8c7585a8a65839f127a92c6651a473f4bb348e32f7e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2018-11-29T14:54:50Z",
"title_canon_sha256": "0dc225670059f864b46c2accb78d727a4bff88151a773b6492e638bdce44b377"
},
"schema_version": "1.0",
"source": {
"id": "1811.12220",
"kind": "arxiv",
"version": 1
}
}