Pith Number
pith:6WONFZDM
pith:2011:6WONFZDMU3AZ5PHZIUM3OGX37Q
not attested
not anchored
not stored
refs pending
When can dictionary learning uniquely recover sparse data from subsamples?
arxiv:1106.3616 v5 · 2011-06-18 · q-bio.NC · math.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6WONFZDMU3AZ5PHZIUM3OGX37Q}
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 | 2026-05-18T00:57:57.354724Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f59cd2e46ca6c19ebcf94519b71afbfc1ffea59de2adf6f9c1f085e9d37fdce3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6WONFZDMU3AZ5PHZIUM3OGX37Q \
| 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: f59cd2e46ca6c19ebcf94519b71afbfc1ffea59de2adf6f9c1f085e9d37fdce3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "681f3db324b7bbf7d6999c461300c80a96efca181a5a606db5e23aa8a007d56e",
"cross_cats_sorted": [
"math.CO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-bio.NC",
"submitted_at": "2011-06-18T05:06:20Z",
"title_canon_sha256": "ac254c49b76f50d3ed4d22b817758c4a0b6397e827dab4b1abcd705e7a9214d8"
},
"schema_version": "1.0",
"source": {
"id": "1106.3616",
"kind": "arxiv",
"version": 5
}
}