Pith Number
pith:Y2B74PPS
pith:2018:Y2B74PPSCGRMM5NERFDLNHHWZZ
not attested
not anchored
not stored
refs pending
Modeling Sparse Deviations for Compressed Sensing using Generative Models
arxiv:1807.01442 v2 · 2018-07-04 · stat.ML · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Y2B74PPSCGRMM5NERFDLNHHWZZ}
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 | 2026-05-18T00:09:09.096373Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c683fe3df211a2c675a48946b69cf6ce7defac34bb1d9faae7c2734cad522b7c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Y2B74PPSCGRMM5NERFDLNHHWZZ \
| 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: c683fe3df211a2c675a48946b69cf6ce7defac34bb1d9faae7c2734cad522b7c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "10baa383eb723bb8cd071192423e30c32f0d0037dc65238bc0b9d7ed4ac5c243",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-07-04T03:57:21Z",
"title_canon_sha256": "bcfcb39245b8369cf1b62f9a6889493f9cc74c975af6bccd4a4a713dcca78f75"
},
"schema_version": "1.0",
"source": {
"id": "1807.01442",
"kind": "arxiv",
"version": 2
}
}